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Perception of Falls and Confidence in Self-Management of Falls among Older Adults

Mobility safety, especially fall prevention, plays a significant role in successful aging for older adults. Fall preventive programs aim to reduce risks for mortality from fall-related injuries among older adults. However, the covariation between personal perceptions of falls and factors and confidence of self-management in falls (CSMoF) is still under-studied despite its importance to fall prevention. Using the International Classification of Functioning, Disability, and Health (ICF) model, this dissertation aimed to investigate the relative contribution of CSMoF in relation to fall risk self-perceptions while controlling for demographics and self-reported health and functioning. Participants were 691 older adults recruited from Area Agency on Aging at Arlington, Texas. They completed measures of physical functioning, CSMoF, fall risk perceptions and fear of falls. Regression analyses indicated that fear of falls was the most predictive factor of CSMoF among older persons. Physical function measures of age, chronic illnesses of metabolism, sensory impairment, and health status were also significant predictors of the CSMoF. The interaction of perception of falls and fall experience attenuated CSMoF, with physical functioning limitations. Fear of falls served as a mediator through which demographic predictors influence CSMoF. The joint effects of perception of falls and fear of falls likely explain CSMoF among older adults more than physical functional indicators. Fall prevention programs for older adults should prioritize to address modifiable subjective factors of fall perceptions, fear of falls, and CSMoF across health and functioning statuses. Fear of falls should be the center of CSMoF enhancement.

Identiferoai:union.ndltd.org:unt.edu/info:ark/67531/metadc1703385
Date05 1900
CreatorsLi, Qiwei
ContributorsMpofu, Elias, Knight, Rebekah, Ingman, Stan, Turner, Keith, Watts, Justin
PublisherUniversity of North Texas
Source SetsUniversity of North Texas
LanguageEnglish
Detected LanguageEnglish
TypeThesis or Dissertation
Formatix, 96 pages, Text
RightsPublic, Li, Qiwei, Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved.

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