ReviewGeriatrics (Basel, Switzerland)2022
The Technology Acceptance Model and Older Adults' Exercise Intentions-A Systematic Literature Review.
Review in Geriatrics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Perceptions of care home residents, families and staff about wearable devices: a scoping review.European geriatric medicine · 2026Article
- Predicting older adults smart healthcare adoption using an extended TAM.Scientific reports · 2025Article
- Perceived digital threats influencing smartphone use among the aging population.Scientific reports · 2025Article
- Adoption of Technology in Older Adults in Mexico City: An Approach from the Technology Acceptance Model.Brain sciences · 2025Article
- Article
- "Though helpful, still hesitant": a TAM-based qualitative study on older adults' ambivalent acceptance and model extensions in AI fitness coaches.Frontiers in psychology · 2025Article
- An Interdisciplinary Approach to Assistive Technology for Parkinson's Disease Dementia.Clinical interventions in aging · 2025Review
- The relationship between urban residents' physical exercise attitudes and sports consumption demands: the mediating role of physical activity level.Frontiers in psychology · 2024Article
- Technology adoption review for ageing well: analysis of technical solutions.Frontiers in public health · 2023Review
- Importance-performance analysis in fitness apps. A study from the viewpoint of gender and age.Frontiers in public health · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aging is a global phenomenon, and the use of exercise technology by older adults can help them to prevent disease, achieve good health, and ultimately achieve successful aging. In the past, there literature compilation studies have been conducted on sports technology and young people or on the use of technology by the older adults; however, no studies have determined the attitudes of older adults toward sports technology. This review applied a systematic literature analysis to determine the factors that correlate the technology acceptance model with the older population's exercise attitudes. A total of 10 studies were identified as contributing to the use of exercise technology by older adults. The main findings of this review are that, of the 28 factors identified in the 10 studies, only 18 were identified as factors influencing older adults' use of sports technology in the technology acceptance model (TAM). Among these, fifteen factors affected intention, four factors affected perceived ease of use, three factors affected perceived usefulness, and two factors affected attitudes. Finally, discussing the related factors affecting TAM allows us to provide suggestions for future research directions.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.