ArticleJMIR research protocols2021
Technology-Based Fall Risk Assessments for Older Adults in Low-Income Settings: Protocol for a Cross-sectional Study.
Article in JMIR research protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 14 papers.
What it found
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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.
Optimizing a Technology-based Body and Mind Intervention to Prevent Falls and Reduce Health Disparities in Low-income Populations
Technology-based Fall Risk Assessments for Older Adults in Low-income Settings
Who cites it
14 citing papers in PubMed, 17 citations in OpenAlex.
- Effect of Elevated Temperature on Physical Activity and Falls in Low-Income Older Adults Using Zero-Inflated Poisson and Graphical Models.Information (Basel) · 2025Article
- The Balance Tracking System (BTrackS) for Postural Control Assessment/Training - a Decade of Research.Medical devices (Auckland, N.Z.) · 2025Review
- Article
- Recruitment Strategies for a Technology-Based Fall Risk Assessment Research Study Among Community-Dwelling Older Adults During a Global Pandemic.Journal of gerontological nursing · 2024Article
- Comparing Device-Generated and Calculated Bioimpedance Variables in Community-Dwelling Older Adults.Sensors (Basel, Switzerland) · 2024Article
- Unveiling Fall Triggers in Older Adults: A Machine Learning Graphical Model Analysis.Mathematics (Basel, Switzerland) · 2024Article
- Phase Angle and Impedance Ratio as Indicators of Physical Function and Fear of Falling in Older Adult Women: Cross-Sectional Analysis.JMIR aging · 2024Article
- Associations between monitor-independent movement summary (MIMS) and fall risk appraisal combining fear of falling and physiological fall risk in community-dwelling older adults.Frontiers in aging · 2024Article
- Comparing Sensitivity, Specificity, and Accuracy of Fall Risk Assessments in Community-Dwelling Older Adults.Clinical interventions in aging · 2024Article
- Levels of Accelerometer-Based Physical Activity in Older Adults With a Mismatch Between Physiological Fall Risk and Fear of Falling.Journal of gerontological nursing · 2023Article
- Associations of Mutually Exclusive Categories of Physical Activity and Sedentary Behavior with Body Composition and Fall Risk in Older Women: A Cross-Sectional Study.International journal of environmental research and public health · 2023Article
- Body composition, fear of falling and balance performance in community-dwelling older adults.Translational medicine of aging · 2023Article
- Objectively Measured Physical Activity Levels and Associated Factors in Older US Women During the COVID-19 Pandemic: Cross-sectional Study.JMIR aging · 2022Article
- Future Nursing Research of Older Adults: Preserving Independence and Reducing Health Disparities.Pacific Rim international journal of nursing researchArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
backgroundOne-third of older adults have maladaptive fall risk appraisal (FRA), a condition in which there is a discrepancy between the level of fear of falling (FOF) and physiological fall risk (balance performance). Older adults who overestimate their physiological fall risk and report a high FOF are less likely to participate in physical activity. Limited data suggest that the association among FOF, body composition, and physical activity intensity differs by fear severity.
objectiveThis study aims to examine the associations among FRA, body composition, and physical activity using assistive health technology, including the BTrackS balance system, bioelectrical impedance analysis, and activity monitoring devices. This study also aims to examine the feasibility of recruitment and acceptability of technologies and procedures for use among older adults in low-income settings.
methodsThis cross-sectional study will be conducted in older adults' homes or apartments in low-income settings in Central Florida, United States. Following consent, participants will be contacted, and our team will visit them twice. The first visit includes questionnaire completion (eg, sociodemographic or FOF) and balance performance test using the BTrackS balance system. The participants will be stratified by the FRA matrix. In addition, they will perform hand grip strength and dynamic balance performance tests. Participants will then be asked to wear the ActiGraph GT9X Link wireless activity monitor on the nondominant wrist for 7 consecutive days. The second visit includes body composition testing and a structured interview about the acceptability of the technologies and procedures.
resultsEthical approval was obtained from the institutional review board of the University of Central Florida (protocol number 2189; September 10, 2020). As of December 2020, participation enrollment is ongoing and the results are expected to be published in Summer 2022.
conclusionsAccurate FRA is essential for implementing physical activity programs, especially in older adults with low income. This study will provide data for developing technology-based fall risk assessments to improve participation in physical activity, thus enhancing healthy longevity among older adults in low-income settings. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/27381.
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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.