Costs and a lack of knowledge are the two greatest barriers for elderly to use technology. While the cost aspect declines with age, it increases for the lack of technological knowledge aspect. Over 60 percent of people between 55 and 64 years state that costs is a barrier, whereas nearly half of those over 80 years state that a lack of knowledge is a barrier.

Among those aged 50 years and older who own wearable technology, 66 percent indicated that they would share health data collected by their device with health care providers such as doctors, whereas 30 percent of users reported that they would not share any health data at all. This graph shows the willingness of olders adult to share health-related data collected by their wearable device in the U.S. in 2019, by entity.

This statistic depicts the percentage of U.S. seniors that would be interested in using health technologies in the future as of 2018, by current technology usage. According to the survey, 54 percent of seniors that use technology for other reasons would be interested in using technologies to measure fitness and health improvement goals in the future. Comparatively, just 13 percent of seniors that do not use technology for other reasons would be interested in measuring the same fitness and health goals.

As of 2023, 54 percent of over 70 year olds surveyed in the United States said they agreed technology enables people to live healthy lives, an increase of almost ten percent from the survey in 2022. This age group was the most accepting of technology's role in health, with just under half of all over 50 year olds surveyed saying they believed this to be the case.

This statistic shows the results of a survey on the contribution of new technologies for the situation of senior citizens in France in 2016. It can be seen that about 85 percent of respondents felt that these new technologies could improve the situation of the elderly by improving the security of their home.

Senior Service Network Service Locations. The dataset contains locations and attributes of select Office of Aging listed services, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. The DC Department of Aging and Community Living (DACL) website and Senior Service Directory identified aging service locations and DC GIS staff geo-processed the data. Services include adult day care, adult education, advocacy, case management, group housing, job training, group meals, health care support, legal assistance, recreation, transportation, and wellness.

The global smart elderly care solutions market is experiencing robust growth, driven by an aging global population and increasing demand for independent living solutions. Technological advancements in areas such as remote patient monitoring, AI-powered assistive devices, and telehealth platforms are further fueling market expansion. The market is segmented by solution type (personalized and regular) and application (residential and commercial), with personalized solutions witnessing faster adoption due to their ability to cater to individual needs. The residential segment currently dominates, but the commercial sector, including assisted living facilities and nursing homes, is expected to experience significant growth in the coming years. Key players like Emoha Elder Care, MariCare, and Tuya Inc. are strategically investing in research and development, partnerships, and mergers and acquisitions to strengthen their market positions and expand their product portfolios. While the high initial investment cost and data security concerns pose some restraints, the overall market outlook remains positive, with a projected Compound Annual Growth Rate (CAGR) significantly above the average for technology sectors. Geographic distribution reveals strong growth across North America and Europe, driven by higher disposable incomes and advanced healthcare infrastructure. However, Asia-Pacific, particularly China and India, is emerging as a high-growth region due to rapid urbanization and a rapidly expanding elderly population. Competition is intensifying with both established players and emerging startups vying for market share. Successful companies will leverage AI, IoT, and data analytics to provide personalized, proactive, and cost-effective elderly care solutions, anticipating and addressing the evolving needs of an aging demographic. Future market success hinges on the ability to integrate seamlessly with existing healthcare systems, ensuring data interoperability and seamless patient care transitions. Furthermore, addressing consumer concerns around data privacy and security will be crucial for building trust and driving wider adoption. We project a market size of $15 billion by 2025, growing to over $30 billion by 2033.

These files contain the raw data of a study on the attitudes of older adults towards head-mounted immersive virtual reality. Sixty participants completed a scale measuring attitudes (Att) towards head-mounted virtual reality, computer proficiency (CP) and computer self-efficacy (CSE) in a first test session. In addition, the Montreal Cognitive Assessment (MoCA) and the praxis subscale of the Birmingham Cognitive Screen (BCoSPraxis) were administered to participants to measure cognitive status and praxis. Using these data we tested whether initial attitudes depend on age, years of formal education and computer proficiency. In addition, 37 participants were exposed to a first HMD-VR user experience and 22 control participants were exposed to content-matched time-lapse videos. We evaluated whether attitudes towards HMD-VR changed more strongly in the HMD-VR versus the control group. In addition, we also measured the experience of the HMD-VR exposure or time-lapse videos, symptoms of cybersickness (SSQ) after each experience and the tendency to answer in a socially desirable fashion (SDS). Moreover, we also measured the openness personality trait using a short form of the Neuroticism Extraversion Openness Inventory (NEO). The data were collected in 3 test phases: phase 3, 4, 5 represent the participants of the HMD-VR group, while test phase 7 represents the control group. The demographic data (Dem) in the shared dataset were adjusted by removing variables that are unnecessary to replicate our results and that may identify individuals.

Introduction: Future digital health research hinges on methodologies to conduct remote clinical assessments and in-home monitoring. The Collaborative Aging Research Using Technology (CART) initiative was introduced to establish a digital technology research platform that could widely assess activity in the homes of diverse cohorts of older adults and detect meaningful change longitudinally. This paper reports on the built end-to-end design of the CART platform, its functionality, and the resulting research capabilities. Methods: CART platform development followed a principled design process aiming for scalability, use case flexibility, longevity, and data privacy protection while allowing sharability. The platform, comprising ambient technology, wearables, and other sensors, was deployed in participants’ homes to provide continuous, long-term (months to years), and ecologically valid data. Data gathered from CART homes were sent securely to a research server for analysis and future data sharing. Results: The CART system was created, iteratively tested, and deployed to 232 homes representing four diverse cohorts (African American, Latinx, low-income, and predominantly rural-residing veterans) of older adults (n = 301) across the USA. Multiple measurements of wellness such as cognition (e.g., mean daily computer use time = 160–169 min), physical mobility (e.g., mean daily transitions between rooms = 96–155), sleep (e.g., mean nightly sleep duration = 6.3–7.4 h), and level of social engagement (e.g., reports of overnight visitors = 15–45%) were collected across cohorts. Conclusion: The CART initiative resulted in a minimally obtrusive digital health-enabled system that met the design principles while allowing for data capture over extended periods and can be widely used by the research community. The ability to monitor and manage health digitally within the homes of older adults is an important alternative to in-person assessments in many research contexts. Further advances will come with wider, shared use of the CART system in additional settings, within different disease contexts, and by diverse research teams.

This graph depicts the rate of daily use for wearable technology among adults aged 50 years and older in the U.S. as of 2019, by age group. Among adults aged 50 to 59 years, 87 percent reported using their wearable technology daily, compared to 79 percent of adults over the age of 70 years.

The refurbished smartphone market is projected to be valued at $45 billion in 2024, driven by factors such as increasing consumer awareness and the rising prevalence of industry-specific trends. The market is expected to grow at a CAGR of 10%, reaching approximately $118 billion by 2034.

Office of Aging Lead Agency Service Boundary. The dataset contains service boundaries and attributes of lead agencies funded by the DC Office of Aging, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. A database provided by the Office of Aging identified Lead Agency service boundaries. Lead Agencies are comprehensive service-delivery organizations that plan and deliver direct services to the District''s elderly residents and their caregivers.

Older adults can take advantage of social networking sites (SNS). However, SNS are not without the access gap among elders. Assuming that the data are homogenous within the same population may not be precise in social science research. What is known about the heterogeneous nature of older people? Considering this issue and the lack of research to help reflect the heterogeneity of elderly users of technologies, this study aims to identify segments in the use of SNS by the elderly. Data were collected from older Chilean adults. Cluster analysis suggested different profiles of adult users regarding the Technology Readiness Index. We used a hybrid multigroup partial least squares-structural equation model, including the Pathmox algorithm, to identify segments in the structural model. Based on the technology readiness profiles and the generation, we identified three segments with different determinant effects to explain the intention to use SNS: independent elder, technological-apathetic elder, and technological-eager elder. The contributions from this study are triple. First, this study helps to better understand how the elderly adopt information technology. Second, this study complements the existing corpus of research on using the technology readiness index in the elderly population. Third, we used an innovative method to segment users in the acceptance technology model.

The global elderly and disabled assistive devices market size reached USD 32.9 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 53.5 Billion by 2033, exhibiting a growth rate (CAGR) of 5.57% during 2025-2033. The rapidly shifting demographics, increasing prevalence of disabilities, rising geriatric population, improving awareness about assistive devices, significant technological advancements, and the implementation of favorable government policies are some of the major factors propelling the market.

IMARC Group provides an analysis of the key trends in each segment of the global elderly and disabled assistive devices market report, along with forecasts at the global, regional and country levels from 2025-2033. Our report has categorized the market based on service type and end user.

The national study SNAC - The Swedish National Study on Aging and Care, includes four participating areas: SNAC-Blekinge, SNAC Kungsholmen, SNAC Nordanstig and SNAC Skåne (GÅS). In all four areas, a research centre conducts a population study and a health care system study. (Metadata related to the main study SNAC and the other participating areas can be found under the Related studies tab).

SNAC- Blekinge is headed by a steering group of researchers with Professor Johan Sanmartin Berglund as principal investigator. The project is supported by the Ministry of Health and Social Affairs, Blekinge Institute of Technology, Kristianstad University and Linnaeus University in Växjö. Blekinge County Council is cooperating with the municipality of Karlskrona. ´ In addition to the national design and objectives a number of separate research questions have been of special interest to the research team in Blekinge. These are as follows: - Dental health and care - a general assessment of elderly between 60 and 96 years of age with a particular focus on identifying osteoporosis using dental X-ray examination. - Multi-morbidity - developing an instrument for estimating incidence and prevalence of diseases in the general population. - Occupation and retirement - the purpose being to study the differences between those working and those being retired or pre-retired at the ages between 60 and 66. - Cardiovascular and cognitive diseases - does patients being treated in primary care know about incipient heart? Also is studied the relation between heart and cardiovascular diseases and diabetes mellitus and cognitive function. - Quality in the care of the elderly - a study about how social contextual and structural factors relate to the need of care and services. - OTC´s and non prescription drugs - the significance of lifestyle and psychological factors for the use of OTC and prescription medication. - Functional performance and stress-reactivity - examining how variability in functional performance in a homogenous age group relate to experimental induces stress testing the stress hypothesis on ageing.

Population study: The aim of the population study is to find out how among other things social environment, lifestyle and earlier diseases effect health and wellbeing in old age. The design is longitudinal and interdisciplinary and the study examines elderly between 60 and 96 years of age. Medical examinations, interviews, psychological tests and distributed of questionnaires are repeated every third or sixth year. The baseline examination was conducted during the period 2001 to 2003. When closed in spring 2003 examination had been made on 1402 subjects out of 2312 (aged 60-96 years old) that was invited to take part in the study. The participation rate was fully (slightly above) 60% for the whole age range from 60 to 96 years of age. Several follow-ups have been conducted.

Health care system study: Karlskrona municipality Mature Management has a need to raise awareness of aging and the care of the elderly in the future to improve care for older people. During the autumn of 2009 begins, therefore, SNAC, in cooperation with BTH, on behalf of the Mature Management, a research in Karlskrona on the municipality's elderly care is tailored to the needs of the elderly. The same type of study is done simultaneously in a number of other municipalities in the country. The survey covers all persons aged 65 years and benefiting the elderly of Mature Management in Karlskrona and / or have a lasting home care / rehabilitation. Data collection have been conducted at several occasions.

Purpose: The aim is to provide information about how social environment, lifestyle and earlier diseases effect health and wellbeing in old age. One of the special interests to the research team in Blekinge is dental health and the impact to general health.

The Anti-Aging Market estimated size and share is projected to exceed USD 126.39 billion by 2034, with a forecasted CAGR of 5.8% during the period.

These data sets present behavioural and eye-tracking data from five experiments looking at the effects of adult aging on gaze cueing. Experiment 1 looked at age differences in gaze cueing when varying face type (schematic, young, old) and stimulus onset asynchrony (SOA: 100ms, 300ms, 600ms, 1000ms). Experiment 2 investigated age differences in gaze cueing when varying familiarity of the face. In experiment 3 we looked at the effects of a dual task load on age differences in gaze cueing. These three experiments used a traditional gaze cueing paradigm. The final two studies looked at gaze cueing in realistic scenes. Experiment 4 evaluated age differences in using gaze cues in a real scene during a search task, while Experiment 5 looked at naturalistic gaze behaviour while free-viewing complex social scenes.

Context: Social isolation is one of the most prevalent problems for older adults, but we know relatively little about age differences in social communication skills likely to be important in initiating and maintaining relationships. The current project will focus on one particular aspect of social communication: why do older people engage less in mutual gaze than younger people? Older adults are less likely than young to attend to, and follow the eye gaze direction of, other people. This is likely to be important, because attending to another's gaze is an informative social cue which facilitates joint understanding and communication. There are two opposing theoretical explanations for age differences in gaze following. First, older adults may follow gaze less than young because of declining perceptual and cognitive processes. Second, older adults may show less gaze following because the typical paradigms used in experimental studies to date are not socially motivating for them. We will use novel experimental manipulations to test the role of the perceptual, cognitive and motivational mechanisms underlying age difference in attention to others' eye gaze.

To date, all of the studies of adult age differences in gaze following have used decontextualized pictures of unfamiliar faces. Here we will use innovative eye-tracking technology to test the extent of age differences in attention to gaze in complex social scenes and real interpersonal interactions. Also we will explore the relationship between gaze following in a range of different tasks and measures of broader social functioning in older adults.

Aims: The research has three main aims: 1) To test the role of cognitive and motivational mechanisms in age differences in following eye gaze, using novel manipulations of experimental paradigms. 2) To explore how older adults' differential use of gaze cues extend to the processing of more complex social scenes and influence real social interactions with both familiar others and strangers. 3) To establish whether gaze following is related to everyday social functioning and communication skills in older adults. These aims will be achieved by harnessing the applicants' complementary expertise in aging, visual attention, and social cognition to develop novel paradigms using eye-tracking technology to understand social attention in interpersonal interactions.

Applications/benefits: We will develop a new model of how aging influences the way in which we attend to other people, and how this relates to social functioning more broadly. The project will also increase understanding of the pattern of younger adults' social attention to older adults, and thus improve models of intergeneration communication. Understanding more about how younger and older people interact is important in developing interventions to improve intergenerational relationships, helping isolated older people improve social interaction skills, and in the longer term to address issues surrounding social isolation. This project will also increase theoretical understanding of the nature of gaze following, and how it is influenced by perceptual, cognitive and motivational factors. A key benefit will be a more integrated and multi-dimensional theory of social attention in old age.

The Digital Senior Citizen Health Platforms market has emerged as a vital sector in the healthcare industry, emphasizing the importance of technology in enhancing the well-being of older adults. With an increasing global population of seniors, the need for effective health management solutions tailored to this demog

The Smart Elderly Care Comprehensive Service market represents a pivotal intersection of technology and healthcare, designed to improve the quality of life for aging populations around the globe. As the demographic landscape shifts, with an increasing number of elderly individuals requiring assistance, the demand fo

Descriptive statistics of demographic characteristics of participants.