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Last update: Aug 30, 2024

Silicon exoskeletons for blood cells: Engineered blood cells successfully transfused between species

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Medical research news

A study by an international research collaborative reports a stunning blood modification method that not only protects red blood cells for perfusion-based transplant organ cryostorage, but could make blood types cross-compatible ...

Aug 30, 2024

Scientists discover a new cardiovascular risk factor and identify a drug able to reduce its effects

To the known risk factors for cardiovascular disease—high blood pressure, high cholesterol, diabetes, overweight and obesity, smoking, and physical inactivity—a new one has to be added, clonal hematopoiesis. This condition ...

Study unveils novel treatment for blocking SARS-CoV-2 entry into cells

In light of the ongoing threat posed by new viruses following the emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which led to the COVID-19 pandemic, new antiviral drugs continue to be developed ...

Blocking the longevity gene S6K1 extends lifespan in mice by reducing inflammation

S6K1 is a protein involved in the regulation of aging and age-related diseases. Blocking this protein in mice makes them live longer and mimics the health benefits of reducing calorie intake, such as reduced body fat, stronger ...

Aug 29, 2024

Fluid 'stickiness' in female reproductive tract could influence fertility

In a study providing important new insights into the development of the female reproductive tract and fertility, researchers have revealed how the thickness of fluid surrounding the egg can impact the cellular structure of ...

Cochlear implant users reveal basic approaches for how people recognize words

University of Iowa researchers have defined how people recognize words. In a new study with people who use cochlear implants to hear, the researchers identified three main approaches that people with or without hearing impairment ...

Study describes a new molecular pathway involved in the control of reproduction

Sexual reproduction is protected by a sophisticated network of regulatory systems functioning in a coordinated manner. Within this framework, some of the most important molecules are kisspeptins, proteins produced mostly ...

Ultrasound device shows promise for treating chronic pain

Pain is a necessary biological signal, but a variety of conditions can cause those signals to go awry. For people with chronic pain, the root is often faulty signals emerging deep within the brain, giving false alarms about ...

Aug 28, 2024

Why are tall people more likely to get cancer? What we know, don't know and suspect

People who are taller are at greater risk of developing cancer. The World Cancer Research Fund reports there is strong evidence taller people have a higher chance of developing cancer of the:

Review highlights advances in kidney cancer research and care

New insights into the biology of kidney cancer, including those informed by scientific discoveries that earned a Nobel Prize, have led to advances in treatment and increased survival rates, according to a review by UNC Lineberger ...

Study: lncRNA ZNF593-AS inhibits cardiac hypertrophy and myocardial remodeling by upregulating Mfn2 expression

Research presented in Frontiers of Medicine delves into the regulatory role of the long non-coding RNA (lncRNA) ZNF593-AS in cardiac hypertrophy and myocardial remodeling, processes that are pivotal in the progression of ...

Zebrafish study confirms regenerated photoreceptor cells fully restore vision

Blinding diseases lead to permanent vision loss by damaging photoreceptor cells, which humans cannot naturally regenerate. While researchers are working on new methods to replace or regenerate these cells, the crucial question ...

Aug 27, 2024

Proof-of-concept study explores massage therapy to help reduce nurse burnout

Even before the coronavirus pandemic, high rates of burnout and staffing shortages plagued the nursing industry, primarily because of the stressful demands of the job. The COVID-19 pandemic only amplified these challenges, ...

'Low-intensity' blood stem cell transplants for sickle cell appear safe for lung health

So-called low-intensity blood stem cell transplants, which use milder conditioning agents than standard stem cell transplants, do not appear to damage the lungs and may help improve lung function in some patients with sickle ...

Study: Targeting deubiquitinase OTUB1 protects vascular smooth muscle cells in atherosclerosis by modulating PDGFRβ

A recent study investigates the role of the deubiquitinase OTUB1 in vascular smooth muscle cells (VSMCs) within the context of atherosclerosis, a disease characterized by lipid accumulation and plaque formation in arteries. ...

Key discovery advances fight to reduce breast cancer recurrence

In looking for new ways to fight breast cancer, scientists from Duke-NUS Medical School have unmasked a surprising role of a protein generally associated with cancer growth. They have discovered that in estrogen receptor-positive ...

Aug 26, 2024

Study highlights changes in how paramedics approach airway management

A new study from The Ohio State University College of Medicine shows that the way paramedics help people breathe before they get to the hospital is changing.

Cancer research explores role of cytochrome oxygenases in augmenting austocystin D-mediated cytotoxicity

Austocystin D, a natural compound produced by fungi, has been recognized for its cytotoxic effects and anticancer activity in various cell types. It exhibits potent activity even in cells that express proteins associated ...

New method for quantifying boredom in the body during temporary stress

A research team from University of Tsukuba has developed an innovative method to quantify stress using Integrated Information Theory. This approach comprehensively evaluates biological signals and has demonstrated a strong ...

Aug 23, 2024

Intestinal parasite could hold key to scar-free wound healing, study suggests

Researchers at Rutgers University in New Jersey have discovered that a protein produced by parasitic worms in the gut enhances wound healing in mice. The study, appearing in the journal Life Science Alliance, reveals that ...

How insulin, zinc and pH can block harmful protein clumps linked to type 2 diabetes

An estimated 462 million people around the world suffer from type 2 diabetes, a chronic disease in which the body has problems using sugar as a fuel, leading to a buildup of sugar in the blood and chronic health issues.

Aug 22, 2024

Researchers discover DNA mechanism that regulates how disease-causing mutations are inherited

University of Queensland researchers have discovered a mechanism in DNA that regulates how disease-causing mutations are inherited. The research paper has been published in Cell Metabolism.

Legal challenges in human brain organoid research and its applications

A study appearing in Journal of Bioethical Inquiry explored the legal and ethical challenges expected to arise in human brain organoid research.

Study of pythons could lead to new therapies for heart disease

In the first 24 hours after a python devours its massive prey, its heart grows 25%, its cardiac tissue softens dramatically, and the organ squeezes harder and harder to more than double its pulse. Meanwhile, a vast collection ...

Aug 21, 2024

A camu-camu fruit extract to reduce liver fat shows promise in clinical trial

A research team from Université Laval has shown the benefits of camu-camu on non-alcoholic fatty liver disease, which affects over seven million people in Canada. This exotic fruit reduces liver fat levels.

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Morning Rundown: Israelis strike in demand of cease-fire, Biden and Harris reject Arlington Cemetery invite claims, and what heatwaves do to your body

Simple blood test could predict a person’s heart disease risk 30 years out, study finds

A new approach to a routine blood test could predict a person’s 30-year risk of heart disease, research published Saturday in the New England Journal of Medicine found. 

Doctors have long assessed their patients’ risk for cardiovascular disease by using a blood test to look at cholesterol levels, focusing particularly on LDL or “bad” cholesterol . But limiting blood testing to just cholesterol misses important — and usually silent — risk factors, experts say.

“We have other biomarkers that tell us about other kinds of biological problems our patients who are destined to have cardiovascular disease are likely to have,” said lead study author Dr. Paul Ridker, director of the Center for Cardiovascular Disease Prevention at Brigham and Women’s Hospital in Boston.

Ridker and his team found that in addition to LDL cholesterol, two other markers — a type of fat in the blood called lipoprotein (a), or Lp(a), and an indicator of inflammation — are important predictors of a person's risk of heart attack , stroke and coronary heart disease. 

The findings were also presented Saturday at the European Society of Cardiology Congress 2024 in London.

In the study, the researchers analyzed data from nearly 30,000 U.S. women who were part of the Women’s Health Study . On average, the women were 55 years old when they enrolled in the years 1992 through 1995. About 13% — roughly 3,600 participants — had either a heart attack or stroke, had surgery to fix a narrowed or blocked artery, or died from heart disease over the 30-year follow-up period. 

Though the research was done in women, Ridker said the findings would likely also apply to men.

Still, the focus on women was on purpose, he said. “This is a largely preventable disease, but women tend to be under treated and underdiagnosed.” 

All of the women had blood tests done at the beginning of the study to measure their LDL cholesterol, Lp(a) and C-reactive protein levels, a marker of inflammation in the body.

These measurements, individually as well as together, appeared to predict a woman’s heart health over the next three decades, the study found.

Women with the highest levels of LDL cholesterol had a 36% higher risk for heart disease compared with those with the lowest levels. The highest levels of Lp(a) indicated a 33% elevated risk, and those with the highest levels of CRP were 70% more at risk for heart disease. 

When the three were looked at together, women who had the highest levels were 1.5 times more likely to have a stroke and over three times more likely to develop coronary heart disease over the next 30 years compared with women with the lowest levels.  

All of the markers have been individually linked to higher risk of heart disease, but “all three represent different biological processes. They tell us why someone is actually at risk,” Ridker said.

Intervening early 

Traditional risk factors for heart disease include obesity, diabetes, high blood pressure and high cholesterol levels . Testing for Lp(a) and CRP can reveal less obvious risk factors.

“You can have no traditional risk factors and just by having that high Lp(a), you are at higher risk,” said Dr. Rachel Bond, system director of women’s heart health at Dignity Health in Arizona, who was not involved with the study. 

Bond said everyone should get their Lp(a) tested once in their lives. If they have elevated levels at any point, they will for life. There is one caveat: Post-menopausal women can develop high Lp(a) and may want to have their levels tested again at that time, Bond said. 

On the other hand, LDL cholesterol and CRP levels fluctuate throughout a person’s life. Ridker supports doctors running the three-pronged blood test when patients are in their 30s or 40s, to catch potentially overlooked risk factors early, when there is time to intervene. 

Although exercising, eating well and not smoking are all important, people with already elevated levels of Lp(a), LDL and CRP will likely require medication, said Dr. Steven Nissen, chief academic officer of the Heart, Vascular and Thoracic Institute at the Cleveland Clinic, who was not involved with the study. 

“We can’t expect lifestyle interventions are going to do the job alone for most people,” Nissen said. 

The study had several limitations that future research may address, including a lack of racial and ethnic diversity, which plays an important role in a person’s risk for heart disease. Nearly all of the participants — 94% — were white.

Nissen also noted that the study stopped measuring Lp(a) levels once they passed a certain threshold.

“The highest levels of lipoprotein (a) in this study weren’t even high enough to reach the clinical threshold at which a patient would be treated,” he said. “It tends to underestimate the risk of lipoprotein (a).”

Dr. Kunihiro Matsushita, a professor of epidemiology at Johns Hopkins Bloomberg School of Public Health, who specializes in cardiology, said that while inflammation is definitely important, “that doesn’t mean CRP is the best marker for predicting cardiovascular disease risk.” 

“Using three biomarkers is interesting, but the choice of which biomarkers these are can be explored further,” said Matsushita, who also wasn't involved with the new research. 

He added that testing for inflammation, LDL and Lp(a) is particularly important for people who are traditionally thought of as low risk for heart disease, including women, young people and those of East Asian descent. 

Ridker agreed.

“Physicians will not treat things they don’t measure,” he said. 

Kaitlin Sullivan is a contributor for NBCNews.com who has worked with NBC News Investigations. She reports on health, science and the environment and is a graduate of the Craig Newmark Graduate School of Journalism at City University of New York.

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December 22, 2021

2021 Research Highlights — Promising Medical Findings

Results with potential for enhancing human health.

With NIH support, scientists across the United States and around the world conduct wide-ranging research to discover ways to enhance health, lengthen life, and reduce illness and disability. Groundbreaking NIH-funded research often receives top scientific honors. In 2021, these honors included Nobel Prizes to five NIH-supported scientists . Here’s just a small sample of the NIH-supported research accomplishments in 2021.

Printer-friendly version of full 2021 NIH Research Highlights

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Advancing COVID-19 treatment and prevention

Amid the sustained pandemic, researchers continued to develop new drugs and vaccines for COVID-19. They found oral drugs that could  inhibit virus replication in hamsters and shut down a key enzyme that the virus needs to replicate. Both drugs are currently in clinical trials. Another drug effectively treated both SARS-CoV-2 and RSV, another serious respiratory virus, in animals. Other researchers used an airway-on-a-chip to screen approved drugs for use against COVID-19. These studies identified oral drugs that could be administered outside of clinical settings. Such drugs could become powerful tools for fighting the ongoing pandemic. Also in development are an intranasal vaccine , which could help prevent virus transmission, and vaccines that can protect against a range of coronaviruses .

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Developments in Alzheimer’s disease research

One of the hallmarks of Alzheimer’s is an abnormal buildup of amyloid-beta protein. A study in mice suggests that antibody therapies targeting amyloid-beta protein could be more effective after enhancing the brain’s waste drainage system . In another study, irisin, an exercise-induced hormone, was found to improve cognitive performance in mice . New approaches also found two approved drugs (described below) with promise for treating AD. These findings point to potential strategies for treating Alzheimer’s. Meanwhile, researchers found that people who slept six hours or less per night in their 50s and 60s were more likely to develop dementia later in life, suggesting that inadequate sleep duration could increase dementia risk.

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New uses for old drugs

Developing new drugs can be costly, and the odds of success can be slim. So, some researchers have turned to repurposing drugs that are already approved for other conditions. Scientists found that two FDA-approved drugs were associated with lower rates of Alzheimer’s disease. One is used for high blood pressure and swelling. The other is FDA-approved to treat erectile dysfunction and pulmonary hypertension. Meanwhile, the antidepressant fluoxetine was associated with reduced risk of age-related macular degeneration. Clinical trials will be needed to confirm these drugs’ effects.

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Making a wireless, biodegradable pacemaker

Pacemakers are a vital part of medical care for many people with heart rhythm disorders. Temporary pacemakers currently use wires connected to a power source outside the body. Researchers developed a temporary pacemaker that is powered wirelessly. It also breaks down harmlessly in the body after use. Studies showed that the device can generate enough power to pace a human heart without causing damage or inflammation.

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Fungi may impair wound healing in Crohn’s disease

Inflammatory bowel disease develops when immune cells in the gut overreact to a perceived threat to the body. It’s thought that the microbiome plays a role in this process. Researchers found that a fungus called  Debaryomyces hansenii  impaired gut wound healing in mice and was also found in damaged gut tissue in people with Crohn’s disease, a type of inflammatory bowel disease. Blocking this microbe might encourage tissue repair in Crohn’s disease.

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Nanoparticle-based flu vaccine

Influenza, or flu, kills an estimated 290,000-650,000 people each year worldwide. The flu virus changes, or mutates, quickly. A single vaccine that conferred protection against a wide variety of strains would provide a major boost to global health. Researchers developed a nanoparticle-based vaccine that protected against a broad range of flu virus strains in animals. The vaccine may prevent flu more effectively than current seasonal vaccines. Researchers are planning a Phase 1 clinical trial to test the vaccine in people.

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A targeted antibiotic for treating Lyme disease

Lyme disease cases are becoming more frequent and widespread. Current treatment entails the use of broad-spectrum antibiotics. But these drugs can damage the patient’s gut microbiome and select for resistance in non-target bacteria. Researchers found that a neglected antibiotic called hygromycin A selectively kills the bacteria that cause Lyme disease. The antibiotic was able to treat Lyme disease in mice without disrupting the microbiome and could make an attractive therapeutic candidate.

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Retraining the brain to treat chronic pain

More than 25 million people in the U.S. live with chronic pain. After a treatment called pain reprocessing therapy, two-thirds of people with mild or moderate chronic back pain for which no physical cause could be found were mostly or completely pain-free. The findings suggest that people can learn to reduce the brain activity causing some types of chronic pain that occur in the absence of injury or persist after healing.

2021 Research Highlights — Basic Research Insights >>

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Here Are the New Drugs and Treatments We Could See in 2024

2023 was a strong year for innovative new drugs, with new medications for Alzheimer’s disease , weight loss , and the first treatment based on the gene-editing technology CRISPR .

But 2024 is also shaping up to be a milestone year for some exciting therapies. Here's what to expect.

Another new Alzheimer's drug

Eli Lilly could debut a new treatment for Alzheimer’s disease that targets amyloid, the protein that builds up in the brains of patients. In studies that the company has submitted to the U.S. Food and Drug Administration (FDA) for approval, people receiving the drug experienced 35% slower cognitive decline according to cognitive tests than those getting placebo, and 40% less decline in their ability to perform daily activities such as driving or holding conversations. That’s a slightly higher efficacy than the existing medications for the neurodegenerative disease, and experts are hoping that if patients start taking it early enough, they might be able to hold off the worst effects of memory loss and cognitive decline for a few years. The FDA is expected to make a decision about the drug in early 2024.

Innovative blood-disorder treatments

After approving the first CRISPR treatment, Casgevy, for sickle cell anemia, the FDA is reviewing the same therapy for another genetic blood disorder called beta thalassemia. In both conditions, people have abnormal blood cells that can’t carry enough oxygen, which leads to painful attacks and frequent blood transfusions and hospitalizations. The gene-editing therapy is a one-time treatment that allows people to make more healthy blood cells, which can reduce the number of painful episodes. U.K. health authorities have granted Casgevy conditional marketing authorization, and the FDA is expected to decide in March whether to approve the treatment for beta thalassemia.

The agency is also considering other gene-based treatments that don’t use CRISPR but rely on more traditional virus-based methods. One is for hemophilia B. Patients with the condition experience moderate-to-severe bleeding episodes because they lack a coagulation factor that the gene therapy provides. In studies by the manufacturer, Pfizer, the therapy lowered the risk of annual bleeding among a few dozen men who tested it by 71% . The FDA is expected to make a decision about the treatment in the second quarter of 2024.

More From TIME

A novel schizophrenia drug.

Later in the year, the FDA will review a new drug treatment for schizophrenia —the first for the psychiatric condition in decades. Karuna Therapeutics has improved upon existing antipsychotics by targeting a different brain chemical than existing medications, which focus on dopamine. In a study of a couple hundred people with schizophrenia, the drug, which works on the muscarinic receptors in the brain involved in regulating positive and negative thoughts, helped to reduce the extremes of symptoms that are typical of the condition. If approved, the drug could help more people with schizophrenia relieve their worst symptoms, since many people stop taking the existing medications because of their side effects.

New year, same old questions of access

As exciting as the possible new medications are, they also raise questions about affordability and accessibility . Innovative drug treatments involving gene therapy and CRISPR, for example, are designed to be one-time treatments that can mitigate the need for repeated and often lifelong medical care. But that means higher upfront costs, and it’s not clear whether insurers will cover such hefty price tags.

As more therapies reach the market, however, they could change the reimbursement structure as insurers will likely feel increasing pressure to cover treatments that could be not just life-changing but also potentially curative—and save millions in long-term health care costs.

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Finerenone showed statistically significant improvement in cardiovascular outcomes in adults with common form of heart failure with high unmet medical need

Not intended for u.s. and uk - media late-breaking data from pivotal phase iii finearts-hf study presented at esc congress 2024.

Finerenone is the first mineralocorticoid receptor (MR) antagonist to demonstrate definitive cardiovascular benefits in a Phase III study in patients with heart failure (HF) with a left ventricular ejection fraction (LVEF) of ≥40%, i.e. mildly reduced or preserved LVEF / Finerenone showed a 16% relative risk reduction of the composite primary endpoint of cardiovascular death and total (first and recurrent) heart failure events compared to placebo / The primary endpoint results were consistent across all prespecified subgroups including those based on comorbidities, hospitalization status, ejection fraction or baseline use of SGLT2-inhibitors / Results from FINEARTS-HF were simultaneously published in the New England Journal of Medicine / Unmet medical need is high for patients with heart failure (HF) and a LVEF of ≥40%: Hospitalization and mortality rates are comparable to those in patients with HF with reduced ejection fraction (LVEF≤40%), however, only limited approved and guideline-directed treatment options are currently available

Berlin, September 1, 2024 – Detailed results from the Phase III study FINEARTS-HF demonstrate that compared to placebo, finerenone (Kerendia™/ Firialta™) showed a statistically significant improvement in cardiovascular outcomes in patients with heart failure (HF) and a left ventricular ejection fraction (LVEF) of greater than or equal to 40%. Finerenone significantly reduced the risk of the composite primary endpoint of cardiovascular death and total (first and recurrent) HF events, defined as hospitalizations for HF or urgent HF visits, by 16 % (relative risk reduction, rate ratio (RR) 0.84 [95% CI, 0.74-0.95; p=0,0072]) over a median duration of 32 months. Based on the results of FINEARTS-HF, finerenone is the first MR antagonist to demonstrate definitive cardiovascular benefits in a Phase III study in patients with this common form of heart failure. The FINEARTS-HF findings were presented today during a Hot Line session at ESC Congress 2024 and simultaneously published in the New England Journal of Medicine .

“Treating heart failure patients with LVEF ≥ 40% has provided a significant challenge for many physicians, and there is a high unmet medical need as these patients have a substantial risk for serious cardiovascular events. Unlike heart failure with reduced ejection fraction, where many treatments are now available, for heart failure with LVEF ≥ 40%, we currently have limited treatment options with proven efficacy,” said Scott D. Solomon, MD, The Edward D. Frohlich Distinguished Chair, Professor of Medicine at Harvard Medical School, Director of Non-invasive Cardiology and Senior Physician at Brigham and Women’s Hospital and Chair of the study’s Executive Committee. “With FINEARTS-HF as the first large-scale study of a non-steroidal, selective mineralocorticoid receptor antagonist in these underserved heart failure patients, finerenone, if approved, has the potential to help these vulnerable patients.”

The benefits shown in the primary endpoint were consistent across all prespecified subgroups, regardless of background therapy, comorbidities, or hospitalization status, including those based on disease state (ejection fraction) or baseline use of SGLT2-inhibitors. Finerenone also significantly reduced the secondary endpoints of total HF events (RR 0.82 [95% CI, 0.71-0.94; p=0.0062]) and improved patient-reported health status as measured by the change from baseline in Total Symptom Score of Kansas City Cardiomyopathy Questionnaire (KCCQ-TSS), (between-group difference 1.6 points [95% CI, 0.8-2.3; p<0.0001]).

Heart failure (HF) affects over 60 million people worldwide; approximately half of these patients suffer from HF with a LVEF of ≥40%. HF with a LVEF ≥40% is associated with multimorbidity, making the condition complex to manage. Time trends suggest this growing population will soon account for the majority of patients hospitalized with HF. Patients with HF LVEF ≥40% have similar hospitalization and mortality rates as those with HF LVEF ≤40% (HF with reduced ejection fraction, HFrEF). More than half of patients with HF LVEF ≥40% will die within 5 years. The high residual risk of CV events and mortality remains high despite available treatments in patients with HF LVEF ≥40%.

“Bayer has a strong heritage in cardiology, and heart failure is a key focus area for us, with these promising results underpinning our ongoing commitment to patients with this devastating condition. In FINEARTS-HF, finerenone reduced cardiovascular outcomes in a complex to treat patient population. This confirms the potential of finerenone, if approved, as a valuable treatment option in heart failure with mildly reduced or preserved ejection fraction irrespective of background therapy and disease state,” said Dr. Christian Rommel, Head of Research and Development at Bayer’s Pharmaceuticals Division. “FINEARTS-HF included a high percentage of hospitalized or recently hospitalized patients, which means the results are highly relevant for improving cardiovascular outcomes for patients who do not have enough options.”

Finerenone is a non-steroidal, selective mineralocorticoid receptor (MR) antagonist. By targeting MR and renin-angiotensin-aldosterone system (RAAS) overactivation, finerenone addresses hallmarks of HF with a LVEF ≥40%, such as fibrotic drivers.

Finerenone was well-tolerated in the FINEARTS-HF study, which is consistent with the well-established safety profile of finerenone. The overall incidence of treatment-emergent serious adverse events was comparable between finerenone and placebo groups. Hyperkalemia-related adverse events occurred more frequently with finerenone than placebo (9.7 % and 4.2%, respectively). There were no fatal adverse events of hyperkalemia in either treatment group, and hospitalization or discontinuation due to hyperkalemia was rare. The occurrence of increased potassium and creatinine levels was also more frequent in the finerenone group, but the incidence of potassium above 6.0 mmol/L was generally low.

Bayer plans to submit applications for marketing authorization for finerenone for an indication in heart failure with a LVEF of ≥40% to health authorities in due course.

About FINEARTS-HF FINEARTS-HF is a randomized, double-blind, placebo-controlled, multicenter, event-driven Phase III study investigating the efficacy and safety of finerenone (Kerendia™) for the prevention of cardiovascular death and heart failure (HF) events in patients with a diagnosis of symptomatic heart failure (New York Heart Association class II-IV) with a left ventricular ejection fraction (LVEF) of ≥40%, measured by any modality within the last 12 months as well as receiving diuretic treatment for at least 30 days prior to randomization. The primary endpoint of FINEARTS-HF was the composite of cardiovascular death and total (first and recurrent) HF events, defined as hospitalizations for HF or urgent HF visits.

Around 6,000 patients were randomized from more than 630 sites across 37 countries worldwide to receive either finerenone or placebo once daily. In addition, patients in the study received usual therapy to treat symptoms and comorbidities. Finerenone once daily significantly reduced the combined risk of cardiovascular death and total (first and recurrent) HF events, defined as hospitalizations for HF or urgent HF visits, by 16 % (relative risk reduction, rate ratio (RR) 0.84 [95% CI, 0.74-0.95; p=0,0072]) over a median duration of 32 months. The results for the individual components of the primary endpoint are: cardiovascular death: hazard ratio (HR) 0.93 [95% CI, 0.78-1.11]; total (first and recurrent) HF events, defined as hospitalizations for HF or urgent HF visits: RR 0.82 [95% CI, 0.71-0.94; p=0.0062]). Finerenone also significantly reduced the secondary endpoint of improved patient-reported health status as measured by the change from baseline in Total Symptom Score of Kansas City Cardiomyopathy Questionnaire (KCCQ-TSS) (between-group difference 1.6 points [95% CI, 0.8-2.3; p<0.0001]). There was no difference in the finerenone and placebo groups for NYHA class (odds ratio (OR) 1.01 [95% CI, 0.88-1.15]; the composite kidney outcome (HR 1.33; [95% CI, 0.94–1.89]), or all-cause mortality (HR 0.93; [95% CI, 0.83–1.06]).

With overall more than 15,000 patients, the ongoing MOONRAKER clinical trial program with finerenone, including FINEARTS-HF, is one of the largest HF study programs to date, and aims to establish a comprehensive understanding of finerenone in HF across a broad spectrum of patients and clinical settings.

About Kerendia ™ / Firialta ™ (finerenone) Kerendia™ and Firialta™ are globally protected trademarks for finerenone. Finerenone is a non-steroidal, selective mineralocorticoid receptor (MR) antagonist that has been shown to block harmful effects of MR overactivation. MR overactivation contributes to chronic kidney disease (CKD) progression and cardiovascular damage which can be driven by metabolic, hemodynamic, or inflammatory and fibrotic factors.

Finerenone is marketed as Kerendia™ or, in some countries, as Firialta™, and approved for the treatment of adult patients with CKD associated with type 2 diabetes (T2D) in more than 90 countries worldwide, including in China, Europe, Japan, and the U.S.

The study program with finerenone, FINEOVATE, currently comprises ten Phase III studies with dedicated programs in HF and CKD respectively. The MOONRAKER program includes FINEARTS-HF, as well as the ongoing collaborative, investigator-sponsored studies REDEFINE-HF, CONFIRMATION-HF, and FINALITY-HF. The THUNDERBALL CKD program consists of the completed studies FIDELIO-DKD and FIGARO-DKD, as well as the ongoing studies FIND-CKD, FIONA, FIONA-OLE, FINE-ONE, and the Phase II study CONFIDENCE.

About Heart Failure Heart failure is a complex clinical syndrome, characterized by a progressive decline in the heart’s ability to fill with and pump enough blood to meet the body’s needs for blood and oxygen. HF affects more than 60 million people worldwide and is the leading cause of hospitalization in people over 65. Prevalence of HF is projected to increase drastically over the next decade, partly as a consequence of the ageing population. Patients with HF face a poor prognosis, with mortality rates similar to or worse than the most common cancers. HF can be complicated by several comorbidities, with more than half of patients living with conditions such as obesity, chronic kidney disease, diabetes mellitus, hypertension, and/or atrial fibrillation. Symptoms of HF may include dizziness, shortness of breath, fatigue, sleep disturbance, chest discomfort, edema (swelling of feet and legs), and chronic coughing or wheezing.

Risk factors include hypertension, diabetes mellitus, smoking, a past myocardial infarction, and coronary artery disease. Despite advances in treatment, around 30% of people diagnosed with HF die within one year, increasing to around 40% after five years.

When categorized by left ventricular ejection fraction (LVEF), which is a measure of cardiac function indicating how much blood the left ventricle pumps out with each contraction, HF is divided into three different categories:

·       Heart failure with reduced ejection fraction (HFrEF) is characterized by the compromised ability of the heart to eject oxygen-rich blood sufficiently during its contraction phase, where LVEF is ≤40% ·       Heart failure with mildly reduced ejection fraction (HFmrEF) is a category for patients whose LVEF is between 41 to 49% and who have some impairment in the heart’s ability to pump ·       Heart failure with preserved ejection fraction (HFpEF) is a condition characterized by stiffness of the heart, leading to filling abnormalities as the left ventricle is unable to relax sufficiently to fill with blood, where LVEF is ≥50%

While LVEF ≤40% and LVEF ≥40% each account for approximately half of all HF cases, the burden of CV and non-CV comorbidities is higher in patients with LVEF ≥40%. Time trends also suggest that LVEF ≥40% will soon account for the majority of patients hospitalized with HF. While advances in therapy have been achieved in HF with LVEF ≤40%, there are limited treatment options for HF with LVEF ≥40%.

About Bayer’s Commitment in Cardiovascular and Kidney Diseases Bayer is an innovation leader in the area of cardiovascular diseases, with a long-standing commitment to delivering science for a better life by advancing a portfolio of innovative treatments. The heart and the kidneys are closely linked in health and disease, and Bayer is working in a wide range of therapeutic areas on new treatment approaches for cardiovascular and kidney diseases with high unmet medical needs. The cardiology franchise at Bayer already includes a number of products and several other compounds in various stages of preclinical and clinical development. Together, these products reflect the company’s approach to research, which prioritizes targets and pathways with the potential to impact the way that cardiovascular diseases are treated.

About Bayer Bayer is a global enterprise with core competencies in the life science fields of health care and nutrition. In line with its mission, “Health for all, Hunger for none,” the company’s products and services are designed to help people and the planet thrive by supporting efforts to master the major challenges presented by a growing and aging global population. Bayer is committed to driving sustainable development and generating a positive impact with its businesses. At the same time, the Group aims to increase its earning power and create value through innovation and growth. The Bayer brand stands for trust, reliability and quality throughout the world. In fiscal 2023, the Group employed around 100,000 people and had sales of 47.6 billion euros. R&D expenses before special items amounted to 5.8 billion euros. For more information, go to www.bayer.com . Find more information at https://pharma.bayer.com Follow us on Facebook: http://www.facebook.com/bayer Follow us on Twitter: @BayerPharma Forward-Looking Statements This release may contain forward-looking statements based on current assumptions and forecasts made by Bayer management. Various known and unknown risks, uncertainties and other factors could lead to material differences between the actual future results, financial situation, development or performance of the company and the estimates given here. These factors include those discussed in Bayer’s public reports which are available on the Bayer website at www.bayer.com . The company assumes no liability whatsoever to update these forward-looking statements or to conform them to future events or developments.

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TAVI patients with coronary artery disease can derive benefits from percutaneous coronary intervention

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Performing percutaneous coronary intervention (PCI) significantly improved outcomes in patients with stable coronary artery disease (CAD) and severe aortic stenosis selected for transcatheter aortic valve implantation (TAVI), according to late-breaking research presented in a Hot Line session today at ESC Congress 2024. The NOTION-3 trial is simultaneously published in the New England Journal of Medicine.

TAVI is being increasingly used to treat patients with severe aortic valve stenosis. Many of these patients also have CAD but whether patients should undergo PCI to treat CAD in addition to TAVI is uncertain due to their older age and risk of complications. We designed the NOTION-3 trial to investigate the efficacy and safety of PCI in addition to TAVI compared with conservative management using TAVI alone and found that PCI plus TAVI is in fact beneficial." Dr. Jacob Thomsen Loenborg, Principal Investigator, from the Copenhagen University Hospital, Copenhagen, Denmark

The NOTION-3 trial was an open-label, investigator-initiated trial. Eligible participants had been selected for TAVI due to severe aortic valve stenosis and had at least one physiologically significant PCI-eligible coronary artery stenosis (fractional flow reserve [FFR] ≤0.80 or diameter stenosis >90% in a coronary artery ≥2.5 mm in diameter). Patients were randomized in a 1:1 ratio to either complete revascularisation with PCI in addition to TAVI or conservative management with TAVI alone. The primary endpoint was the composite of all-cause mortality, myocardial infarction (MI) or urgent revascularisation until the last included patient was followed for 1 year after TAVI.

In total, 455 patients were randomized from 12 centers in Denmark, Finland, Latvia and Sweden. The mean age was around 81 years and 33% were female. The mean Society of Thoracic Surgeons risk score was 3%. Almost 60% of patients had angina symptoms (Canadian Cardiovascular Society grade ≥1). PCI was performed before TAVI in 74% of patients, concomitantly with TAVI in 17% and shortly after in 9%.

The incidence of the primary composite endpoint was significantly lower in the PCI group compared with the conservative group (26% vs. 36%, respectively; hazard ratio [HR] 0.71; 95% confidence interval [CI] 0.51-0.99; p=0.041) after a median follow-up of 2 years.

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Significantly lower rates were observed with PCI compared with conservative treatment for MI (8% vs. 14%; HR 0.54; 95% CI 0.30-0.97; p=0.037) and for urgent revascularisation (2% vs. 11%; HR 0.20; 95% CI 0.08-0.51; p<0.001). Similar rates were observed in the PCI group and the conservative group for all-cause mortality (23% and 27%, respectively; HR 0.85; 95% CI 0.59-1.23; p=0.40).

The rate of bleeding events - minor, major, life-threatening or disabling - was 28% in the PCI group and 20% in the conservative group (HR 1.51; 95% CI 1.03-2.22).

"NOTION-3 has answered an important clinical question, demonstrating that TAVI patients with CAD can derive considerable benefits from PCI, driven by reductions in MI and urgent revascularization. We suggest that performing PCI should be the recommended treatment for patients undergoing TAVI that have CAD, but the final decision should be made based on the patient's age, comorbidities, life expectancy and their bleeding risk," concluded Dr. Loenborg.

European Society of Cardiology (ESC)

Posted in: Medical Procedure News | Medical Research News | Medical Condition News

Tags: Angina , Aortic Stenosis , Bleeding , Cardiology , Coronary Artery Disease , Efficacy , Hospital , Life Expectancy , Medicine , Mortality , Myocardial Infarction , Research , Stenosis

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We Know Mental Health Affects Physical Health. Why Don’t We Act Like It?

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Dr. Ouyang is an emergency physician and an associate professor at Columbia University.

“Do you think my symptoms could be from stress?” This is a question more and more of my patients have been asking me when seeking care for problems such as a stubborn cold or an aching back.

For other patients who don’t first raise the idea, when I propose that their mental health could be worsening their physical symptoms, they no longer bristle at that suggestion. An idea that was once dismissed as New Age fluff is now being embraced.

Our health care system, however, has yet to catch up to this connection. While it promotes preventive care, the emphasis has largely been on physical health, overlooking the significant influence of mental well-being on our overall health and vulnerability to illness. For people to truly be healthy, modern medicine must prioritize the prevention of mental ailments alongside physical ones.

It wasn’t long ago that even hinting at the notion that a relationship exists between our mental and our physical health would inevitably seem to frustrate, even infuriate, patients, as though their suffering wasn’t real. And for good reason. Women have endured the dismissal of their symptoms for centuries, resulting in missed and delayed diagnoses, even death. Pain in Black patients is often undertreated . Doctors in the past would offhandedly call certain symptoms “supratentorial” — meaning “it’s in their head.”

But our understanding is evolving, as a growing stream of research challenges old assumptions. Psychological disorders such as stress, depression and loneliness are now known to be associated with impaired immune defenses , leading to increased infections and weakened responses to vaccines . Chronic stress can disrupt our gut function, slow our wound healing and age our cells.

Our minds’ potential to unravel our bodies goes even further: People with symptoms of depression have a greater risk of developing coronary artery disease. Among patients who already have heart failure, those struggling with loneliness are around four times as likely to die. Job stress has been linked to strokes.

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• Published: 31 August 2024

Knowledge mapping and evolution of research on older adults’ technology acceptance: a bibliometric study from 2013 to 2023

• Xianru Shang   ORCID: orcid.org/0009-0000-8906-3216 1 ,
• Zijian Liu 1 ,
• Chen Gong 1 ,
• Zhigang Hu 1 ,
• Yuexuan Wu 1 &
• Chengliang Wang   ORCID: orcid.org/0000-0003-2208-3508 2  

Humanities and Social Sciences Communications volume  11 , Article number:  1115 ( 2024 ) Cite this article

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The rapid expansion of information technology and the intensification of population aging are two prominent features of contemporary societal development. Investigating older adults’ acceptance and use of technology is key to facilitating their integration into an information-driven society. Given this context, the technology acceptance of older adults has emerged as a prioritized research topic, attracting widespread attention in the academic community. However, existing research remains fragmented and lacks a systematic framework. To address this gap, we employed bibliometric methods, utilizing the Web of Science Core Collection to conduct a comprehensive review of literature on older adults’ technology acceptance from 2013 to 2023. Utilizing VOSviewer and CiteSpace for data assessment and visualization, we created knowledge mappings of research on older adults’ technology acceptance. Our study employed multidimensional methods such as co-occurrence analysis, clustering, and burst analysis to: (1) reveal research dynamics, key journals, and domains in this field; (2) identify leading countries, their collaborative networks, and core research institutions and authors; (3) recognize the foundational knowledge system centered on theoretical model deepening, emerging technology applications, and research methods and evaluation, uncovering seminal literature and observing a shift from early theoretical and influential factor analyses to empirical studies focusing on individual factors and emerging technologies; (4) moreover, current research hotspots are primarily in the areas of factors influencing technology adoption, human-robot interaction experiences, mobile health management, and aging-in-place technology, highlighting the evolutionary context and quality distribution of research themes. Finally, we recommend that future research should deeply explore improvements in theoretical models, long-term usage, and user experience evaluation. Overall, this study presents a clear framework of existing research in the field of older adults’ technology acceptance, providing an important reference for future theoretical exploration and innovative applications.

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Smart device interest, perceived usefulness, and preferences in rural Alabama seniors

Introduction.

In contemporary society, the rapid development of information technology has been intricately intertwined with the intensifying trend of population aging. According to the latest United Nations forecast, by 2050, the global population aged 65 and above is expected to reach 1.6 billion, representing about 16% of the total global population (UN 2023 ). Given the significant challenges of global aging, there is increasing evidence that emerging technologies have significant potential to maintain health and independence for older adults in their home and healthcare environments (Barnard et al. 2013 ; Soar 2010 ; Vancea and Solé-Casals 2016 ). This includes, but is not limited to, enhancing residential safety with smart home technologies (Touqeer et al. 2021 ; Wang et al. 2022 ), improving living independence through wearable technologies (Perez et al. 2023 ), and increasing medical accessibility via telehealth services (Kruse et al. 2020 ). Technological innovations are redefining the lifestyles of older adults, encouraging a shift from passive to active participation (González et al. 2012 ; Mostaghel 2016 ). Nevertheless, the effective application and dissemination of technology still depends on user acceptance and usage intentions (Naseri et al. 2023 ; Wang et al. 2023a ; Xia et al. 2024 ; Yu et al. 2023 ). Particularly, older adults face numerous challenges in accepting and using new technologies. These challenges include not only physical and cognitive limitations but also a lack of technological experience, along with the influences of social and economic factors (Valk et al. 2018 ; Wilson et al. 2021 ).

User acceptance of technology is a significant focus within information systems (IS) research (Dai et al. 2024 ), with several models developed to explain and predict user behavior towards technology usage, including the Technology Acceptance Model (TAM) (Davis 1989 ), TAM2, TAM3, and the Unified Theory of Acceptance and Use of Technology (UTAUT) (Venkatesh et al. 2003 ). Older adults, as a group with unique needs, exhibit different behavioral patterns during technology acceptance than other user groups, and these uniquenesses include changes in cognitive abilities, as well as motivations, attitudes, and perceptions of the use of new technologies (Chen and Chan 2011 ). The continual expansion of technology introduces considerable challenges for older adults, rendering the understanding of their technology acceptance a research priority. Thus, conducting in-depth research into older adults’ acceptance of technology is critically important for enhancing their integration into the information society and improving their quality of life through technological advancements.

Reviewing relevant literature to identify research gaps helps further solidify the theoretical foundation of the research topic. However, many existing literature reviews primarily focus on the factors influencing older adults’ acceptance or intentions to use technology. For instance, Ma et al. ( 2021 ) conducted a comprehensive analysis of the determinants of older adults’ behavioral intentions to use technology; Liu et al. ( 2022 ) categorized key variables in studies of older adults’ technology acceptance, noting a shift in focus towards social and emotional factors; Yap et al. ( 2022 ) identified seven categories of antecedents affecting older adults’ use of technology from an analysis of 26 articles, including technological, psychological, social, personal, cost, behavioral, and environmental factors; Schroeder et al. ( 2023 ) extracted 119 influencing factors from 59 articles and further categorized these into six themes covering demographics, health status, and emotional awareness. Additionally, some studies focus on the application of specific technologies, such as Ferguson et al. ( 2021 ), who explored barriers and facilitators to older adults using wearable devices for heart monitoring, and He et al. ( 2022 ) and Baer et al. ( 2022 ), who each conducted in-depth investigations into the acceptance of social assistive robots and mobile nutrition and fitness apps, respectively. In summary, current literature reviews on older adults’ technology acceptance exhibit certain limitations. Due to the interdisciplinary nature and complex knowledge structure of this field, traditional literature reviews often rely on qualitative analysis, based on literature analysis and periodic summaries, which lack sufficient objectivity and comprehensiveness. Additionally, systematic research is relatively limited, lacking a macroscopic description of the research trajectory from a holistic perspective. Over the past decade, research on older adults’ technology acceptance has experienced rapid growth, with a significant increase in literature, necessitating the adoption of new methods to review and examine the developmental trends in this field (Chen 2006 ; Van Eck and Waltman 2010 ). Bibliometric analysis, as an effective quantitative research method, analyzes published literature through visualization, offering a viable approach to extracting patterns and insights from a large volume of papers, and has been widely applied in numerous scientific research fields (Achuthan et al. 2023 ; Liu and Duffy 2023 ). Therefore, this study will employ bibliometric methods to systematically analyze research articles related to older adults’ technology acceptance published in the Web of Science Core Collection from 2013 to 2023, aiming to understand the core issues and evolutionary trends in the field, and to provide valuable references for future related research. Specifically, this study aims to explore and answer the following questions:

RQ1: What are the research dynamics in the field of older adults’ technology acceptance over the past decade? What are the main academic journals and fields that publish studies related to older adults’ technology acceptance?

RQ2: How is the productivity in older adults’ technology acceptance research distributed among countries, institutions, and authors?

RQ3: What are the knowledge base and seminal literature in older adults’ technology acceptance research? How has the research theme progressed?

RQ4: What are the current hot topics and their evolutionary trajectories in older adults’ technology acceptance research? How is the quality of research distributed?

Methodology and materials

Research method.

In recent years, bibliometrics has become one of the crucial methods for analyzing literature reviews and is widely used in disciplinary and industrial intelligence analysis (Jing et al. 2023 ; Lin and Yu 2024a ; Wang et al. 2024a ; Xu et al. 2021 ). Bibliometric software facilitates the visualization analysis of extensive literature data, intuitively displaying the network relationships and evolutionary processes between knowledge units, and revealing the underlying knowledge structure and potential information (Chen et al. 2024 ; López-Robles et al. 2018 ; Wang et al. 2024c ). This method provides new insights into the current status and trends of specific research areas, along with quantitative evidence, thereby enhancing the objectivity and scientific validity of the research conclusions (Chen et al. 2023 ; Geng et al. 2024 ). VOSviewer and CiteSpace are two widely used bibliometric software tools in academia (Pan et al. 2018 ), recognized for their robust functionalities based on the JAVA platform. Although each has its unique features, combining these two software tools effectively constructs mapping relationships between literature knowledge units and clearly displays the macrostructure of the knowledge domains. Particularly, VOSviewer, with its excellent graphical representation capabilities, serves as an ideal tool for handling large datasets and precisely identifying the focal points and hotspots of research topics. Therefore, this study utilizes VOSviewer (version 1.6.19) and CiteSpace (version 6.1.R6), combined with in-depth literature analysis, to comprehensively examine and interpret the research theme of older adults’ technology acceptance through an integrated application of quantitative and qualitative methods.

Data source

Web of Science is a comprehensively recognized database in academia, featuring literature that has undergone rigorous peer review and editorial scrutiny (Lin and Yu 2024b ; Mongeon and Paul-Hus 2016 ; Pranckutė 2021 ). This study utilizes the Web of Science Core Collection as its data source, specifically including three major citation indices: Science Citation Index Expanded (SCIE), Social Sciences Citation Index (SSCI), and Arts & Humanities Citation Index (A&HCI). These indices encompass high-quality research literature in the fields of science, social sciences, and arts and humanities, ensuring the comprehensiveness and reliability of the data. We combined “older adults” with “technology acceptance” through thematic search, with the specific search strategy being: TS = (elder OR elderly OR aging OR ageing OR senile OR senior OR old people OR “older adult*”) AND TS = (“technology acceptance” OR “user acceptance” OR “consumer acceptance”). The time span of literature search is from 2013 to 2023, with the types limited to “Article” and “Review” and the language to “English”. Additionally, the search was completed by October 27, 2023, to avoid data discrepancies caused by database updates. The initial search yielded 764 journal articles. Given that searches often retrieve articles that are superficially relevant but actually non-compliant, manual screening post-search was essential to ensure the relevance of the literature (Chen et al. 2024 ). Through manual screening, articles significantly deviating from the research theme were eliminated and rigorously reviewed. Ultimately, this study obtained 500 valid sample articles from the Web of Science Core Collection. The complete PRISMA screening process is illustrated in Fig. 1 .

Presentation of the data culling process in detail.

Data standardization

Raw data exported from databases often contain multiple expressions of the same terminology (Nguyen and Hallinger 2020 ). To ensure the accuracy and consistency of data, it is necessary to standardize the raw data (Strotmann and Zhao 2012 ). This study follows the data standardization process proposed by Taskin and Al ( 2019 ), mainly executing the following operations:

(1) Standardization of author and institution names is conducted to address different name expressions for the same author. For instance, “Chan, Alan Hoi Shou” and “Chan, Alan H. S.” are considered the same author, and distinct authors with the same name are differentiated by adding identifiers. Diverse forms of institutional names are unified to address variations caused by name changes or abbreviations, such as standardizing “FRANKFURT UNIV APPL SCI” and “Frankfurt University of Applied Sciences,” as well as “Chinese University of Hong Kong” and “University of Hong Kong” to consistent names.

(2) Different expressions of journal names are unified. For example, “International Journal of Human-Computer Interaction” and “Int J Hum Comput Interact” are standardized to a single name. This ensures consistency in journal names and prevents misclassification of literature due to differing journal names. Additionally, it involves checking if the journals have undergone name changes in the past decade to prevent any impact on the analysis due to such changes.

(3) Keywords data are cleansed by removing words that do not directly pertain to specific research content (e.g., people, review), merging synonyms (e.g., “UX” and “User Experience,” “aging-in-place” and “aging in place”), and standardizing plural forms of keywords (e.g., “assistive technologies” and “assistive technology,” “social robots” and “social robot”). This reduces redundant information in knowledge mapping.

Bibliometric results and analysis

Distribution power (rq1), literature descriptive statistical analysis.

Table 1 presents a detailed descriptive statistical overview of the literature in the field of older adults’ technology acceptance. After deduplication using the CiteSpace software, this study confirmed a valid sample size of 500 articles. Authored by 1839 researchers, the documents encompass 792 research institutions across 54 countries and are published in 217 different academic journals. As of the search cutoff date, these articles have accumulated 13,829 citations, with an annual average of 1156 citations, and an average of 27.66 citations per article. The h-index, a composite metric of quantity and quality of scientific output (Kamrani et al. 2021 ), reached 60 in this study.

Trends in publications and disciplinary distribution

The number of publications and citations are significant indicators of the research field’s development, reflecting its continuity, attention, and impact (Ale Ebrahim et al. 2014 ). The ranking of annual publications and citations in the field of older adults’ technology acceptance studies is presented chronologically in Fig. 2A . The figure shows a clear upward trend in the amount of literature in this field. Between 2013 and 2017, the number of publications increased slowly and decreased in 2018. However, in 2019, the number of publications increased rapidly to 52 and reached a peak of 108 in 2022, which is 6.75 times higher than in 2013. In 2022, the frequency of document citations reached its highest point with 3466 citations, reflecting the widespread recognition and citation of research in this field. Moreover, the curve of the annual number of publications fits a quadratic function, with a goodness-of-fit R 2 of 0.9661, indicating that the number of future publications is expected to increase even more rapidly.

A Trends in trends in annual publications and citations (2013–2023). B Overlay analysis of the distribution of discipline fields.

Figure 2B shows that research on older adults’ technology acceptance involves the integration of multidisciplinary knowledge. According to Web of Science Categories, these 500 articles are distributed across 85 different disciplines. We have tabulated the top ten disciplines by publication volume (Table 2 ), which include Medical Informatics (75 articles, 15.00%), Health Care Sciences & Services (71 articles, 14.20%), Gerontology (61 articles, 12.20%), Public Environmental & Occupational Health (57 articles, 11.40%), and Geriatrics & Gerontology (52 articles, 10.40%), among others. The high output in these disciplines reflects the concentrated global academic interest in this comprehensive research topic. Additionally, interdisciplinary research approaches provide diverse perspectives and a solid theoretical foundation for studies on older adults’ technology acceptance, also paving the way for new research directions.

Knowledge flow analysis

A dual-map overlay is a CiteSpace map superimposed on top of a base map, which shows the interrelationships between journals in different domains, representing the publication and citation activities in each domain (Chen and Leydesdorff 2014 ). The overlay map reveals the link between the citing domain (on the left side) and the cited domain (on the right side), reflecting the knowledge flow of the discipline at the journal level (Leydesdorff and Rafols 2012 ). We utilize the in-built Z-score algorithm of the software to cluster the graph, as shown in Fig. 3 .

The left side shows the citing journal, and the right side shows the cited journal.

Figure 3 shows the distribution of citing journals clusters for older adults’ technology acceptance on the left side, while the right side refers to the main cited journals clusters. Two knowledge flow citation trajectories were obtained; they are presented by the color of the cited regions, and the thickness of these trajectories is proportional to the Z-score scaled frequency of citations (Chen et al. 2014 ). Within the cited regions, the most popular fields with the most records covered are “HEALTH, NURSING, MEDICINE” and “PSYCHOLOGY, EDUCATION, SOCIAL”, and the elliptical aspect ratio of these two fields stands out. Fields have prominent elliptical aspect ratios, highlighting their significant influence on older adults’ technology acceptance research. Additionally, the major citation trajectories originate in these two areas and progress to the frontier research area of “PSYCHOLOGY, EDUCATION, HEALTH”. It is worth noting that the citation trajectory from “PSYCHOLOGY, EDUCATION, SOCIAL” has a significant Z-value (z = 6.81), emphasizing the significance and impact of this development path. In the future, “MATHEMATICS, SYSTEMS, MATHEMATICAL”, “MOLECULAR, BIOLOGY, IMMUNOLOGY”, and “NEUROLOGY, SPORTS, OPHTHALMOLOGY” may become emerging fields. The fields of “MEDICINE, MEDICAL, CLINICAL” may be emerging areas of cutting-edge research.

Main research journals analysis

Table 3 provides statistics for the top ten journals by publication volume in the field of older adults’ technology acceptance. Together, these journals have published 137 articles, accounting for 27.40% of the total publications, indicating that there is no highly concentrated core group of journals in this field, with publications being relatively dispersed. Notably, Computers in Human Behavior , Journal of Medical Internet Research , and International Journal of Human-Computer Interaction each lead with 15 publications. In terms of citation metrics, International Journal of Medical Informatics and Computers in Human Behavior stand out significantly, with the former accumulating a total of 1,904 citations, averaging 211.56 citations per article, and the latter totaling 1,449 citations, with an average of 96.60 citations per article. These figures emphasize the academic authority and widespread impact of these journals within the research field.

Research power (RQ2)

Countries and collaborations analysis.

The analysis revealed the global research pattern for country distribution and collaboration (Chen et al. 2019 ). Figure 4A shows the network of national collaborations on older adults’ technology acceptance research. The size of the bubbles represents the amount of publications in each country, while the thickness of the connecting lines expresses the closeness of the collaboration among countries. Generally, this research subject has received extensive international attention, with China and the USA publishing far more than any other countries. China has established notable research collaborations with the USA, UK and Malaysia in this field, while other countries have collaborations, but the closeness is relatively low and scattered. Figure 4B shows the annual publication volume dynamics of the top ten countries in terms of total publications. Since 2017, China has consistently increased its annual publications, while the USA has remained relatively stable. In 2019, the volume of publications in each country increased significantly, this was largely due to the global outbreak of the COVID-19 pandemic, which has led to increased reliance on information technology among the elderly for medical consultations, online socialization, and health management (Sinha et al. 2021 ). This phenomenon has led to research advances in technology acceptance among older adults in various countries. Table 4 shows that the top ten countries account for 93.20% of the total cumulative number of publications, with each country having published more than 20 papers. Among these ten countries, all of them except China are developed countries, indicating that the research field of older adults’ technology acceptance has received general attention from developed countries. Currently, China and the USA were the leading countries in terms of publications with 111 and 104 respectively, accounting for 22.20% and 20.80%. The UK, Germany, Italy, and the Netherlands also made significant contributions. The USA and China ranked first and second in terms of the number of citations, while the Netherlands had the highest average citations, indicating the high impact and quality of its research. The UK has shown outstanding performance in international cooperation, while the USA highlights its significant academic influence in this field with the highest h-index value.

A National collaboration network. B Annual volume of publications in the top 10 countries.

Institutions and authors analysis

Analyzing the number of publications and citations can reveal an institution’s or author’s research strength and influence in a particular research area (Kwiek 2021 ). Tables 5 and 6 show the statistics of the institutions and authors whose publication counts are in the top ten, respectively. As shown in Table 5 , higher education institutions hold the main position in this research field. Among the top ten institutions, City University of Hong Kong and The University of Hong Kong from China lead with 14 and 9 publications, respectively. City University of Hong Kong has the highest h-index, highlighting its significant influence in the field. It is worth noting that Tilburg University in the Netherlands is not among the top five in terms of publications, but the high average citation count (130.14) of its literature demonstrates the high quality of its research.

After analyzing the authors’ output using Price’s Law (Redner 1998 ), the highest number of publications among the authors counted ( n  = 10) defines a publication threshold of 3 for core authors in this research area. As a result of quantitative screening, a total of 63 core authors were identified. Table 6 shows that Chen from Zhejiang University, China, Ziefle from RWTH Aachen University, Germany, and Rogers from Macquarie University, Australia, were the top three authors in terms of the number of publications, with 10, 9, and 8 articles, respectively. In terms of average citation rate, Peek and Wouters, both scholars from the Netherlands, have significantly higher rates than other scholars, with 183.2 and 152.67 respectively. This suggests that their research is of high quality and widely recognized. Additionally, Chen and Rogers have high h-indices in this field.

Knowledge base and theme progress (RQ3)

Research knowledge base.

Co-citation relationships occur when two documents are cited together (Zhang and Zhu 2022 ). Co-citation mapping uses references as nodes to represent the knowledge base of a subject area (Min et al. 2021). Figure 5A illustrates co-occurrence mapping in older adults’ technology acceptance research, where larger nodes signify higher co-citation frequencies. Co-citation cluster analysis can be used to explore knowledge structure and research boundaries (Hota et al. 2020 ; Shiau et al. 2023 ). The co-citation clustering mapping of older adults’ technology acceptance research literature (Fig. 5B ) shows that the Q value of the clustering result is 0.8129 (>0.3), and the average value of the weight S is 0.9391 (>0.7), indicating that the clusters are uniformly distributed with a significant and credible structure. This further proves that the boundaries of the research field are clear and there is significant differentiation in the field. The figure features 18 cluster labels, each associated with thematic color blocks corresponding to different time slices. Highlighted emerging research themes include #2 Smart Home Technology, #7 Social Live, and #10 Customer Service. Furthermore, the clustering labels extracted are primarily classified into three categories: theoretical model deepening, emerging technology applications, research methods and evaluation, as detailed in Table 7 .

A Co-citation analysis of references. B Clustering network analysis of references.

Seminal literature analysis

The top ten nodes in terms of co-citation frequency were selected for further analysis. Table 8 displays the corresponding node information. Studies were categorized into four main groups based on content analysis. (1) Research focusing on specific technology usage by older adults includes studies by Peek et al. ( 2014 ), Ma et al. ( 2016 ), Hoque and Sorwar ( 2017 ), and Li et al. ( 2019 ), who investigated the factors influencing the use of e-technology, smartphones, mHealth, and smart wearables, respectively. (2) Concerning the development of theoretical models of technology acceptance, Chen and Chan ( 2014 ) introduced the Senior Technology Acceptance Model (STAM), and Macedo ( 2017 ) analyzed the predictive power of UTAUT2 in explaining older adults’ intentional behaviors and information technology usage. (3) In exploring older adults’ information technology adoption and behavior, Lee and Coughlin ( 2015 ) emphasized that the adoption of technology by older adults is a multifactorial process that includes performance, price, value, usability, affordability, accessibility, technical support, social support, emotion, independence, experience, and confidence. Yusif et al. ( 2016 ) conducted a literature review examining the key barriers affecting older adults’ adoption of assistive technology, including factors such as privacy, trust, functionality/added value, cost, and stigma. (4) From the perspective of research into older adults’ technology acceptance, Mitzner et al. ( 2019 ) assessed the long-term usage of computer systems designed for the elderly, whereas Guner and Acarturk ( 2020 ) compared information technology usage and acceptance between older and younger adults. The breadth and prevalence of this literature make it a vital reference for researchers in the field, also providing new perspectives and inspiration for future research directions.

Research thematic progress

Burst citation is a node of literature that guides the sudden change in dosage, which usually represents a prominent development or major change in a particular field, with innovative and forward-looking qualities. By analyzing the emergent literature, it is often easy to understand the dynamics of the subject area, mapping the emerging thematic change (Chen et al. 2022 ). Figure 6 shows the burst citation mapping in the field of older adults’ technology acceptance research, with burst citations represented by red nodes (Fig. 6A ). For the ten papers with the highest burst intensity (Fig. 6B ), this study will conduct further analysis in conjunction with literature review.

A Burst detection of co-citation. B The top 10 references with the strongest citation bursts.

As shown in Fig. 6 , Mitzner et al. ( 2010 ) broke the stereotype that older adults are fearful of technology, found that they actually have positive attitudes toward technology, and emphasized the centrality of ease of use and usefulness in the process of technology acceptance. This finding provides an important foundation for subsequent research. During the same period, Wagner et al. ( 2010 ) conducted theory-deepening and applied research on technology acceptance among older adults. The research focused on older adults’ interactions with computers from the perspective of Social Cognitive Theory (SCT). This expanded the understanding of technology acceptance, particularly regarding the relationship between behavior, environment, and other SCT elements. In addition, Pan and Jordan-Marsh ( 2010 ) extended the TAM to examine the interactions among predictors of perceived usefulness, perceived ease of use, subjective norm, and convenience conditions when older adults use the Internet, taking into account the moderating roles of gender and age. Heerink et al. ( 2010 ) adapted and extended the UTAUT, constructed a technology acceptance model specifically designed for older users’ acceptance of assistive social agents, and validated it using controlled experiments and longitudinal data, explaining intention to use by combining functional assessment and social interaction variables.

Then the research theme shifted to an in-depth analysis of the factors influencing technology acceptance among older adults. Two papers with high burst strengths emerged during this period: Peek et al. ( 2014 ) (Strength = 12.04), Chen and Chan ( 2014 ) (Strength = 9.81). Through a systematic literature review and empirical study, Peek STM and Chen K, among others, identified multidimensional factors that influence older adults’ technology acceptance. Peek et al. ( 2014 ) analyzed literature on the acceptance of in-home care technology among older adults and identified six factors that influence their acceptance: concerns about technology, expected benefits, technology needs, technology alternatives, social influences, and older adult characteristics, with a focus on differences between pre- and post-implementation factors. Chen and Chan ( 2014 ) constructed the STAM by administering a questionnaire to 1012 older adults and adding eight important factors, including technology anxiety, self-efficacy, cognitive ability, and physical function, based on the TAM. This enriches the theoretical foundation of the field. In addition, Braun ( 2013 ) highlighted the role of perceived usefulness, trust in social networks, and frequency of Internet use in older adults’ use of social networks, while ease of use and social pressure were not significant influences. These findings contribute to the study of older adults’ technology acceptance within specific technology application domains.

Recent research has focused on empirical studies of personal factors and emerging technologies. Ma et al. ( 2016 ) identified key personal factors affecting smartphone acceptance among older adults through structured questionnaires and face-to-face interviews with 120 participants. The study found that cost, self-satisfaction, and convenience were important factors influencing perceived usefulness and ease of use. This study offers empirical evidence to comprehend the main factors that drive smartphone acceptance among Chinese older adults. Additionally, Yusif et al. ( 2016 ) presented an overview of the obstacles that hinder older adults’ acceptance of assistive technologies, focusing on privacy, trust, and functionality.

In summary, research on older adults’ technology acceptance has shifted from early theoretical deepening and analysis of influencing factors to empirical studies in the areas of personal factors and emerging technologies, which have greatly enriched the theoretical basis of older adults’ technology acceptance and provided practical guidance for the design of emerging technology products.

Research hotspots, evolutionary trends, and quality distribution (RQ4)

Core keywords analysis.

Keywords concise the main idea and core of the literature, and are a refined summary of the research content (Huang et al. 2021 ). In CiteSpace, nodes with a centrality value greater than 0.1 are considered to be critical nodes. Analyzing keywords with high frequency and centrality helps to visualize the hot topics in the research field (Park et al. 2018 ). The merged keywords were imported into CiteSpace, and the top 10 keywords were counted and sorted by frequency and centrality respectively, as shown in Table 9 . The results show that the keyword “TAM” has the highest frequency (92), followed by “UTAUT” (24), which reflects that the in-depth study of the existing technology acceptance model and its theoretical expansion occupy a central position in research related to older adults’ technology acceptance. Furthermore, the terms ‘assistive technology’ and ‘virtual reality’ are both high-frequency and high-centrality terms (frequency = 17, centrality = 0.10), indicating that the research on assistive technology and virtual reality for older adults is the focus of current academic attention.

Research hotspots analysis

Using VOSviewer for keyword co-occurrence analysis organizes keywords into groups or clusters based on their intrinsic connections and frequencies, clearly highlighting the research field’s hot topics. The connectivity among keywords reveals correlations between different topics. To ensure accuracy, the analysis only considered the authors’ keywords. Subsequently, the keywords were filtered by setting the keyword frequency to 5 to obtain the keyword clustering map of the research on older adults’ technology acceptance research keyword clustering mapping (Fig. 7 ), combined with the keyword co-occurrence clustering network (Fig. 7A ) and the corresponding density situation (Fig. 7B ) to make a detailed analysis of the following four groups of clustered themes.

A Co-occurrence clustering network. B Keyword density.

Cluster #1—Research on the factors influencing technology adoption among older adults is a prominent topic, covering age, gender, self-efficacy, attitude, and and intention to use (Berkowsky et al. 2017 ; Wang et al. 2017 ). It also examined older adults’ attitudes towards and acceptance of digital health technologies (Ahmad and Mozelius, 2022 ). Moreover, the COVID-19 pandemic, significantly impacting older adults’ technology attitudes and usage, has underscored the study’s importance and urgency. Therefore, it is crucial to conduct in-depth studies on how older adults accept, adopt, and effectively use new technologies, to address their needs and help them overcome the digital divide within digital inclusion. This will improve their quality of life and healthcare experiences.

Cluster #2—Research focuses on how older adults interact with assistive technologies, especially assistive robots and health monitoring devices, emphasizing trust, usability, and user experience as crucial factors (Halim et al. 2022 ). Moreover, health monitoring technologies effectively track and manage health issues common in older adults, like dementia and mild cognitive impairment (Lussier et al. 2018 ; Piau et al. 2019 ). Interactive exercise games and virtual reality have been deployed to encourage more physical and cognitive engagement among older adults (Campo-Prieto et al. 2021 ). Personalized and innovative technology significantly enhances older adults’ participation, improving their health and well-being.

Cluster #3—Optimizing health management for older adults using mobile technology. With the development of mobile health (mHealth) and health information technology, mobile applications, smartphones, and smart wearable devices have become effective tools to help older users better manage chronic conditions, conduct real-time health monitoring, and even receive telehealth services (Dupuis and Tsotsos 2018 ; Olmedo-Aguirre et al. 2022 ; Kim et al. 2014 ). Additionally, these technologies can mitigate the problem of healthcare resource inequality, especially in developing countries. Older adults’ acceptance and use of these technologies are significantly influenced by their behavioral intentions, motivational factors, and self-management skills. These internal motivational factors, along with external factors, jointly affect older adults’ performance in health management and quality of life.

Cluster #4—Research on technology-assisted home care for older adults is gaining popularity. Environmentally assisted living enhances older adults’ independence and comfort at home, offering essential support and security. This has a crucial impact on promoting healthy aging (Friesen et al. 2016 ; Wahlroos et al. 2023 ). The smart home is a core application in this field, providing a range of solutions that facilitate independent living for the elderly in a highly integrated and user-friendly manner. This fulfills different dimensions of living and health needs (Majumder et al. 2017 ). Moreover, eHealth offers accurate and personalized health management and healthcare services for older adults (Delmastro et al. 2018 ), ensuring their needs are met at home. Research in this field often employs qualitative methods and structural equation modeling to fully understand older adults’ needs and experiences at home and analyze factors influencing technology adoption.

Evolutionary trends analysis

To gain a deeper understanding of the evolutionary trends in research hotspots within the field of older adults’ technology acceptance, we conducted a statistical analysis of the average appearance times of keywords, using CiteSpace to generate the time-zone evolution mapping (Fig. 8 ) and burst keywords. The time-zone mapping visually displays the evolution of keywords over time, intuitively reflecting the frequency and initial appearance of keywords in research, commonly used to identify trends in research topics (Jing et al. 2024a ; Kumar et al. 2021 ). Table 10 lists the top 15 keywords by burst strength, with the red sections indicating high-frequency citations and their burst strength in specific years. These burst keywords reveal the focus and trends of research themes over different periods (Kleinberg 2002 ). Combining insights from the time-zone mapping and burst keywords provides more objective and accurate research insights (Wang et al. 2023b ).

Reflecting the frequency and time of first appearance of keywords in the study.

An integrated analysis of Fig. 8 and Table 10 shows that early research on older adults’ technology acceptance primarily focused on factors such as perceived usefulness, ease of use, and attitudes towards information technology, including their use of computers and the internet (Pan and Jordan-Marsh 2010 ), as well as differences in technology use between older adults and other age groups (Guner and Acarturk 2020 ). Subsequently, the research focus expanded to improving the quality of life for older adults, exploring how technology can optimize health management and enhance the possibility of independent living, emphasizing the significant role of technology in improving the quality of life for the elderly. With ongoing technological advancements, recent research has shifted towards areas such as “virtual reality,” “telehealth,” and “human-robot interaction,” with a focus on the user experience of older adults (Halim et al. 2022 ). The appearance of keywords such as “physical activity” and “exercise” highlights the value of technology in promoting physical activity and health among older adults. This phase of research tends to make cutting-edge technology genuinely serve the practical needs of older adults, achieving its widespread application in daily life. Additionally, research has focused on expanding and quantifying theoretical models of older adults’ technology acceptance, involving keywords such as “perceived risk”, “validation” and “UTAUT”.

In summary, from 2013 to 2023, the field of older adults’ technology acceptance has evolved from initial explorations of influencing factors, to comprehensive enhancements in quality of life and health management, and further to the application and deepening of theoretical models and cutting-edge technologies. This research not only reflects the diversity and complexity of the field but also demonstrates a comprehensive and in-depth understanding of older adults’ interactions with technology across various life scenarios and needs.

Research quality distribution

To reveal the distribution of research quality in the field of older adults’ technology acceptance, a strategic diagram analysis is employed to calculate and illustrate the internal development and interrelationships among various research themes (Xie et al. 2020 ). The strategic diagram uses Centrality as the X-axis and Density as the Y-axis to divide into four quadrants, where the X-axis represents the strength of the connection between thematic clusters and other themes, with higher values indicating a central position in the research field; the Y-axis indicates the level of development within the thematic clusters, with higher values denoting a more mature and widely recognized field (Li and Zhou 2020 ).

Through cluster analysis and manual verification, this study categorized 61 core keywords (Frequency ≥5) into 11 thematic clusters. Subsequently, based on the keywords covered by each thematic cluster, the research themes and their directions for each cluster were summarized (Table 11 ), and the centrality and density coordinates for each cluster were precisely calculated (Table 12 ). Finally, a strategic diagram of the older adults’ technology acceptance research field was constructed (Fig. 9 ). Based on the distribution of thematic clusters across the quadrants in the strategic diagram, the structure and developmental trends of the field were interpreted.

Classification and visualization of theme clusters based on density and centrality.

As illustrated in Fig. 9 , (1) the theme clusters of #3 Usage Experience and #4 Assisted Living Technology are in the first quadrant, characterized by high centrality and density. Their internal cohesion and close links with other themes indicate their mature development, systematic research content or directions have been formed, and they have a significant influence on other themes. These themes play a central role in the field of older adults’ technology acceptance and have promising prospects. (2) The theme clusters of #6 Smart Devices, #9 Theoretical Models, and #10 Mobile Health Applications are in the second quadrant, with higher density but lower centrality. These themes have strong internal connections but weaker external links, indicating that these three themes have received widespread attention from researchers and have been the subject of related research, but more as self-contained systems and exhibit independence. Therefore, future research should further explore in-depth cooperation and cross-application with other themes. (3) The theme clusters of #7 Human-Robot Interaction, #8 Characteristics of the Elderly, and #11 Research Methods are in the third quadrant, with lower centrality and density. These themes are loosely connected internally and have weak links with others, indicating their developmental immaturity. Compared to other topics, they belong to the lower attention edge and niche themes, and there is a need for further investigation. (4) The theme clusters of #1 Digital Healthcare Technology, #2 Psychological Factors, and #5 Socio-Cultural Factors are located in the fourth quadrant, with high centrality but low density. Although closely associated with other research themes, the internal cohesion within these clusters is relatively weak. This suggests that while these themes are closely linked to other research areas, their own development remains underdeveloped, indicating a core immaturity. Nevertheless, these themes are crucial within the research domain of elderly technology acceptance and possess significant potential for future exploration.

Discussion on distribution power (RQ1)

Over the past decade, academic interest and influence in the area of older adults’ technology acceptance have significantly increased. This trend is evidenced by a quantitative analysis of publication and citation volumes, particularly noticeable in 2019 and 2022, where there was a substantial rise in both metrics. The rise is closely linked to the widespread adoption of emerging technologies such as smart homes, wearable devices, and telemedicine among older adults. While these technologies have enhanced their quality of life, they also pose numerous challenges, sparking extensive research into their acceptance, usage behaviors, and influencing factors among the older adults (Pirzada et al. 2022 ; Garcia Reyes et al. 2023 ). Furthermore, the COVID-19 pandemic led to a surge in technology demand among older adults, especially in areas like medical consultation, online socialization, and health management, further highlighting the importance and challenges of technology. Health risks and social isolation have compelled older adults to rely on technology for daily activities, accelerating its adoption and application within this demographic. This phenomenon has made technology acceptance a critical issue, driving societal and academic focus on the study of technology acceptance among older adults.

The flow of knowledge at the level of high-output disciplines and journals, along with the primary publishing outlets, indicates the highly interdisciplinary nature of research into older adults’ technology acceptance. This reflects the complexity and breadth of issues related to older adults’ technology acceptance, necessitating the integration of multidisciplinary knowledge and approaches. Currently, research is primarily focused on medical health and human-computer interaction, demonstrating academic interest in improving health and quality of life for older adults and addressing the urgent needs related to their interactions with technology. In the field of medical health, research aims to provide advanced and innovative healthcare technologies and services to meet the challenges of an aging population while improving the quality of life for older adults (Abdi et al. 2020 ; Wilson et al. 2021 ). In the field of human-computer interaction, research is focused on developing smarter and more user-friendly interaction models to meet the needs of older adults in the digital age, enabling them to actively participate in social activities and enjoy a higher quality of life (Sayago, 2019 ). These studies are crucial for addressing the challenges faced by aging societies, providing increased support and opportunities for the health, welfare, and social participation of older adults.

Discussion on research power (RQ2)

This study analyzes leading countries and collaboration networks, core institutions and authors, revealing the global research landscape and distribution of research strength in the field of older adults’ technology acceptance, and presents quantitative data on global research trends. From the analysis of country distribution and collaborations, China and the USA hold dominant positions in this field, with developed countries like the UK, Germany, Italy, and the Netherlands also excelling in international cooperation and research influence. The significant investment in technological research and the focus on the technological needs of older adults by many developed countries reflect their rapidly aging societies, policy support, and resource allocation.

China is the only developing country that has become a major contributor in this field, indicating its growing research capabilities and high priority given to aging societies and technological innovation. Additionally, China has close collaborations with countries such as USA, the UK, and Malaysia, driven not only by technological research needs but also by shared challenges and complementarities in aging issues among these nations. For instance, the UK has extensive experience in social welfare and aging research, providing valuable theoretical guidance and practical experience. International collaborations, aimed at addressing the challenges of aging, integrate the strengths of various countries, advancing in-depth and widespread development in the research of technology acceptance among older adults.

At the institutional and author level, City University of Hong Kong leads in publication volume, with research teams led by Chan and Chen demonstrating significant academic activity and contributions. Their research primarily focuses on older adults’ acceptance and usage behaviors of various technologies, including smartphones, smart wearables, and social robots (Chen et al. 2015 ; Li et al. 2019 ; Ma et al. 2016 ). These studies, targeting specific needs and product characteristics of older adults, have developed new models of technology acceptance based on existing frameworks, enhancing the integration of these technologies into their daily lives and laying a foundation for further advancements in the field. Although Tilburg University has a smaller publication output, it holds significant influence in the field of older adults’ technology acceptance. Particularly, the high citation rate of Peek’s studies highlights their excellence in research. Peek extensively explored older adults’ acceptance and usage of home care technologies, revealing the complexity and dynamics of their technology use behaviors. His research spans from identifying systemic influencing factors (Peek et al. 2014 ; Peek et al. 2016 ), emphasizing familial impacts (Luijkx et al. 2015 ), to constructing comprehensive models (Peek et al. 2017 ), and examining the dynamics of long-term usage (Peek et al. 2019 ), fully reflecting the evolving technology landscape and the changing needs of older adults. Additionally, the ongoing contributions of researchers like Ziefle, Rogers, and Wouters in the field of older adults’ technology acceptance demonstrate their research influence and leadership. These researchers have significantly enriched the knowledge base in this area with their diverse perspectives. For instance, Ziefle has uncovered the complex attitudes of older adults towards technology usage, especially the trade-offs between privacy and security, and how different types of activities affect their privacy needs (Maidhof et al. 2023 ; Mujirishvili et al. 2023 ; Schomakers and Ziefle 2023 ; Wilkowska et al. 2022 ), reflecting a deep exploration and ongoing innovation in the field of older adults’ technology acceptance.

Discussion on knowledge base and thematic progress (RQ3)

Through co-citation analysis and systematic review of seminal literature, this study reveals the knowledge foundation and thematic progress in the field of older adults’ technology acceptance. Co-citation networks and cluster analyses illustrate the structural themes of the research, delineating the differentiation and boundaries within this field. Additionally, burst detection analysis offers a valuable perspective for understanding the thematic evolution in the field of technology acceptance among older adults. The development and innovation of theoretical models are foundational to this research. Researchers enhance the explanatory power of constructed models by deepening and expanding existing technology acceptance theories to address theoretical limitations. For instance, Heerink et al. ( 2010 ) modified and expanded the UTAUT model by integrating functional assessment and social interaction variables to create the almere model. This model significantly enhances the ability to explain the intentions of older users in utilizing assistive social agents and improves the explanation of actual usage behaviors. Additionally, Chen and Chan ( 2014 ) extended the TAM to include age-related health and capability features of older adults, creating the STAM, which substantially improves predictions of older adults’ technology usage behaviors. Personal attributes, health and capability features, and facilitating conditions have a direct impact on technology acceptance. These factors more effectively predict older adults’ technology usage behaviors than traditional attitudinal factors.

With the advancement of technology and the application of emerging technologies, new research topics have emerged, increasingly focusing on older adults’ acceptance and use of these technologies. Prior to this, the study by Mitzner et al. ( 2010 ) challenged the stereotype of older adults’ conservative attitudes towards technology, highlighting the central roles of usability and usefulness in the technology acceptance process. This discovery laid an important foundation for subsequent research. Research fields such as “smart home technology,” “social life,” and “customer service” are emerging, indicating a shift in focus towards the practical and social applications of technology in older adults’ lives. Research not only focuses on the technology itself but also on how these technologies integrate into older adults’ daily lives and how they can improve the quality of life through technology. For instance, studies such as those by Ma et al. ( 2016 ), Hoque and Sorwar ( 2017 ), and Li et al. ( 2019 ) have explored factors influencing older adults’ use of smartphones, mHealth, and smart wearable devices.

Furthermore, the diversification of research methodologies and innovation in evaluation techniques, such as the use of mixed methods, structural equation modeling (SEM), and neural network (NN) approaches, have enhanced the rigor and reliability of the findings, enabling more precise identification of the factors and mechanisms influencing technology acceptance. Talukder et al. ( 2020 ) employed an effective multimethodological strategy by integrating SEM and NN to leverage the complementary strengths of both approaches, thus overcoming their individual limitations and more accurately analyzing and predicting older adults’ acceptance of wearable health technologies (WHT). SEM is utilized to assess the determinants’ impact on the adoption of WHT, while neural network models validate SEM outcomes and predict the significance of key determinants. This combined approach not only boosts the models’ reliability and explanatory power but also provides a nuanced understanding of the motivations and barriers behind older adults’ acceptance of WHT, offering deep research insights.

Overall, co-citation analysis of the literature in the field of older adults’ technology acceptance has uncovered deeper theoretical modeling and empirical studies on emerging technologies, while emphasizing the importance of research methodological and evaluation innovations in understanding complex social science issues. These findings are crucial for guiding the design and marketing strategies of future technology products, especially in the rapidly growing market of older adults.

Discussion on research hotspots and evolutionary trends (RQ4)

By analyzing core keywords, we can gain deep insights into the hot topics, evolutionary trends, and quality distribution of research in the field of older adults’ technology acceptance. The frequent occurrence of the keywords “TAM” and “UTAUT” indicates that the applicability and theoretical extension of existing technology acceptance models among older adults remain a focal point in academia. This phenomenon underscores the enduring influence of the studies by Davis ( 1989 ) and Venkatesh et al. ( 2003 ), whose models provide a robust theoretical framework for explaining and predicting older adults’ acceptance and usage of emerging technologies. With the widespread application of artificial intelligence (AI) and big data technologies, these theoretical models have incorporated new variables such as perceived risk, trust, and privacy issues (Amin et al. 2024 ; Chen et al. 2024 ; Jing et al. 2024b ; Seibert et al. 2021 ; Wang et al. 2024b ), advancing the theoretical depth and empirical research in this field.

Keyword co-occurrence cluster analysis has revealed multiple research hotspots in the field, including factors influencing technology adoption, interactive experiences between older adults and assistive technologies, the application of mobile health technology in health management, and technology-assisted home care. These studies primarily focus on enhancing the quality of life and health management of older adults through emerging technologies, particularly in the areas of ambient assisted living, smart health monitoring, and intelligent medical care. In these domains, the role of AI technology is increasingly significant (Qian et al. 2021 ; Ho 2020 ). With the evolution of next-generation information technologies, AI is increasingly integrated into elder care systems, offering intelligent, efficient, and personalized service solutions by analyzing the lifestyles and health conditions of older adults. This integration aims to enhance older adults’ quality of life in aspects such as health monitoring and alerts, rehabilitation assistance, daily health management, and emotional support (Lee et al. 2023 ). A survey indicates that 83% of older adults prefer AI-driven solutions when selecting smart products, demonstrating the increasing acceptance of AI in elder care (Zhao and Li 2024 ). Integrating AI into elder care presents both opportunities and challenges, particularly in terms of user acceptance, trust, and long-term usage effects, which warrant further exploration (Mhlanga 2023 ). These studies will help better understand the profound impact of AI technology on the lifestyles of older adults and provide critical references for optimizing AI-driven elder care services.

The Time-zone evolution mapping and burst keyword analysis further reveal the evolutionary trends of research hotspots. Early studies focused on basic technology acceptance models and user perceptions, later expanding to include quality of life and health management. In recent years, research has increasingly focused on cutting-edge technologies such as virtual reality, telehealth, and human-robot interaction, with a concurrent emphasis on the user experience of older adults. This evolutionary process demonstrates a deepening shift from theoretical models to practical applications, underscoring the significant role of technology in enhancing the quality of life for older adults. Furthermore, the strategic coordinate mapping analysis clearly demonstrates the development and mutual influence of different research themes. High centrality and density in the themes of Usage Experience and Assisted Living Technology indicate their mature research status and significant impact on other themes. The themes of Smart Devices, Theoretical Models, and Mobile Health Applications demonstrate self-contained research trends. The themes of Human-Robot Interaction, Characteristics of the Elderly, and Research Methods are not yet mature, but they hold potential for development. Themes of Digital Healthcare Technology, Psychological Factors, and Socio-Cultural Factors are closely related to other themes, displaying core immaturity but significant potential.

In summary, the research hotspots in the field of older adults’ technology acceptance are diverse and dynamic, demonstrating the academic community’s profound understanding of how older adults interact with technology across various life contexts and needs. Under the influence of AI and big data, research should continue to focus on the application of emerging technologies among older adults, exploring in depth how they adapt to and effectively use these technologies. This not only enhances the quality of life and healthcare experiences for older adults but also drives ongoing innovation and development in this field.

Research agenda

Based on the above research findings, to further understand and promote technology acceptance and usage among older adults, we recommend future studies focus on refining theoretical models, exploring long-term usage, and assessing user experience in the following detailed aspects:

Refinement and validation of specific technology acceptance models for older adults: Future research should focus on developing and validating technology acceptance models based on individual characteristics, particularly considering variations in technology acceptance among older adults across different educational levels and cultural backgrounds. This includes factors such as age, gender, educational background, and cultural differences. Additionally, research should examine how well specific technologies, such as wearable devices and mobile health applications, meet the needs of older adults. Building on existing theoretical models, this research should integrate insights from multiple disciplines such as psychology, sociology, design, and engineering through interdisciplinary collaboration to create more accurate and comprehensive models, which should then be validated in relevant contexts.

Deepening the exploration of the relationship between long-term technology use and quality of life among older adults: The acceptance and use of technology by users is a complex and dynamic process (Seuwou et al. 2016 ). Existing research predominantly focuses on older adults’ initial acceptance or short-term use of new technologies; however, the impact of long-term use on their quality of life and health is more significant. Future research should focus on the evolution of older adults’ experiences and needs during long-term technology usage, and the enduring effects of technology on their social interactions, mental health, and life satisfaction. Through longitudinal studies and qualitative analysis, this research reveals the specific needs and challenges of older adults in long-term technology use, providing a basis for developing technologies and strategies that better meet their requirements. This understanding aids in comprehensively assessing the impact of technology on older adults’ quality of life and guiding the optimization and improvement of technological products.

Evaluating the Importance of User Experience in Research on Older Adults’ Technology Acceptance: Understanding the mechanisms of information technology acceptance and use is central to human-computer interaction research. Although technology acceptance models and user experience models differ in objectives, they share many potential intersections. Technology acceptance research focuses on structured prediction and assessment, while user experience research concentrates on interpreting design impacts and new frameworks. Integrating user experience to assess older adults’ acceptance of technology products and systems is crucial (Codfrey et al. 2022 ; Wang et al. 2019 ), particularly for older users, where specific product designs should emphasize practicality and usability (Fisk et al. 2020 ). Researchers need to explore innovative age-appropriate design methods to enhance older adults’ usage experience. This includes studying older users’ actual usage preferences and behaviors, optimizing user interfaces, and interaction designs. Integrating feedback from older adults to tailor products to their needs can further promote their acceptance and continued use of technology products.

Conclusions

This study conducted a systematic review of the literature on older adults’ technology acceptance over the past decade through bibliometric analysis, focusing on the distribution power, research power, knowledge base and theme progress, research hotspots, evolutionary trends, and quality distribution. Using a combination of quantitative and qualitative methods, this study has reached the following conclusions:

Technology acceptance among older adults has become a hot topic in the international academic community, involving the integration of knowledge across multiple disciplines, including Medical Informatics, Health Care Sciences Services, and Ergonomics. In terms of journals, “PSYCHOLOGY, EDUCATION, HEALTH” represents a leading field, with key publications including Computers in Human Behavior , Journal of Medical Internet Research , and International Journal of Human-Computer Interaction . These journals possess significant academic authority and extensive influence in the field.

Research on technology acceptance among older adults is particularly active in developed countries, with China and USA publishing significantly more than other nations. The Netherlands leads in high average citation rates, indicating the depth and impact of its research. Meanwhile, the UK stands out in terms of international collaboration. At the institutional level, City University of Hong Kong and The University of Hong Kong in China are in leading positions. Tilburg University in the Netherlands demonstrates exceptional research quality through its high average citation count. At the author level, Chen from China has the highest number of publications, while Peek from the Netherlands has the highest average citation count.

Co-citation analysis of references indicates that the knowledge base in this field is divided into three main categories: theoretical model deepening, emerging technology applications, and research methods and evaluation. Seminal literature focuses on four areas: specific technology use by older adults, expansion of theoretical models of technology acceptance, information technology adoption behavior, and research perspectives. Research themes have evolved from initial theoretical deepening and analysis of influencing factors to empirical studies on individual factors and emerging technologies.

Keyword analysis indicates that TAM and UTAUT are the most frequently occurring terms, while “assistive technology” and “virtual reality” are focal points with high frequency and centrality. Keyword clustering analysis reveals that research hotspots are concentrated on the influencing factors of technology adoption, human-robot interaction experiences, mobile health management, and technology for aging in place. Time-zone evolution mapping and burst keyword analysis have revealed the research evolution from preliminary exploration of influencing factors, to enhancements in quality of life and health management, and onto advanced technology applications and deepening of theoretical models. Furthermore, analysis of research quality distribution indicates that Usage Experience and Assisted Living Technology have become core topics, while Smart Devices, Theoretical Models, and Mobile Health Applications point towards future research directions.

Through this study, we have systematically reviewed the dynamics, core issues, and evolutionary trends in the field of older adults’ technology acceptance, constructing a comprehensive Knowledge Mapping of the domain and presenting a clear framework of existing research. This not only lays the foundation for subsequent theoretical discussions and innovative applications in the field but also provides an important reference for relevant scholars.

Limitations

To our knowledge, this is the first bibliometric analysis concerning technology acceptance among older adults, and we adhered strictly to bibliometric standards throughout our research. However, this study relies on the Web of Science Core Collection, and while its authority and breadth are widely recognized, this choice may have missed relevant literature published in other significant databases such as PubMed, Scopus, and Google Scholar, potentially overlooking some critical academic contributions. Moreover, given that our analysis was confined to literature in English, it may not reflect studies published in other languages, somewhat limiting the global representativeness of our data sample.

It is noteworthy that with the rapid development of AI technology, its increasingly widespread application in elderly care services is significantly transforming traditional care models. AI is profoundly altering the lifestyles of the elderly, from health monitoring and smart diagnostics to intelligent home systems and personalized care, significantly enhancing their quality of life and health care standards. The potential for AI technology within the elderly population is immense, and research in this area is rapidly expanding. However, due to the restrictive nature of the search terms used in this study, it did not fully cover research in this critical area, particularly in addressing key issues such as trust, privacy, and ethics.

Consequently, future research should not only expand data sources, incorporating multilingual and multidatabase literature, but also particularly focus on exploring older adults’ acceptance of AI technology and its applications, in order to construct a more comprehensive academic landscape of older adults’ technology acceptance, thereby enriching and extending the knowledge system and academic trends in this field.

Data availability

The datasets analyzed during the current study are available in the Dataverse repository: https://doi.org/10.7910/DVN/6K0GJH .

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This research was supported by the Social Science Foundation of Shaanxi Province in China (Grant No. 2023J014).

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Xianru Shang, Zijian Liu, Chen Gong, Zhigang Hu & Yuexuan Wu

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Shang, X., Liu, Z., Gong, C. et al. Knowledge mapping and evolution of research on older adults’ technology acceptance: a bibliometric study from 2013 to 2023. Humanit Soc Sci Commun 11 , 1115 (2024). https://doi.org/10.1057/s41599-024-03658-2

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