Predictors of real‐world adherence to prescribed home exercise in older patients with a risk of falling: A prospective observational study.

Autor:	Teng, Bernadine, Gomersall, Sjaan R., Hatton, Anna L., Khan, Asaduzzaman, Brauer, Sandra G.
Předmět:	HOME environment STATISTICS SCIENTIFIC observation SOCIAL support PHYSICAL therapy MULTIPLE regression analysis FUNCTIONAL status ACTIGRAPHY RISK assessment PHYSICAL activity ACCELEROMETRY SELF-efficacy ACCIDENTAL falls EXERCISE DESCRIPTIVE statistics PUBLIC hospitals MENTAL health surveys QUESTIONNAIRES LONELINESS PHYSICAL mobility PATIENT compliance GERIATRIC rehabilitation SOCIODEMOGRAPHIC factors STATISTICAL sampling DATA analysis software LONGITUDINAL method OLD age
Zdroj:	Aging Medicine; Dec2023, Vol. 6 Issue 4, p361-369, 9p
Abstrakt:	Objectives: Using a multi‐ethnic Asian population, this study assessed adherence to prescribed home exercise programs, explored factors predicting adherence, and evaluated whether home exercise adherence was associated with physical activity. Methods: A prospective cohort study was conducted in 68 older adults (aged ≥65 years) from two geriatric outpatient clinics in Singapore, who were receiving tailored home exercises while undergoing 6 weeks of outpatient physical therapy for falls prevention. Adherence was measured as the percentage of prescribed sessions completed. Predictor variables included sociodemographic factors, clinical characteristics, intervention‐specific factors, and physical and psychosocial measures. Multivariable linear regressions were performed to develop a model that best predicted adherence to prescribed exercise. Physical activity levels, measured by accelerometry, were analyzed by cross‐sectional univariate analysis at 6 weeks. Results: The mean adherence rate was 65% (SD 34.3%). In the regression model, the number of medications [B = 0.360, 95% CI (0.098–0.630)], social support for exercising [B = 0.080, 95% CI (0.015–0.145)], and self‐efficacy for exercising [B = −0.034, 95% CI (−0.068–0.000)] significantly explained 31% (R2 = 0.312) of the variance in exercise adherence. Older adults with better adherence took more steps/day at 6 weeks [B = 0.001, 95% CI (0.000–0.001)]. Conclusions: Low adherence to home exercise programs among older adults in Singapore, emphasizing the need for improvement. Counterintuitively, older adults with more medications, lower exercise self‐efficacy, but with greater social support demonstrated higher adherence. Addressing unmet social support needs is crucial for enhancing adherence rates and reducing fall risks. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
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