Teng Bernadine, Gomersall Sjaan R, Hatton Anna L, Khan Asaduzzaman, Brauer Sandra G
School of Health and Rehabilitation Sciences The University of Queensland Brisbane Queensland Australia.
Health and Social Sciences cluster Singapore Institute of Technology Singapore Singapore.
Aging Med (Milton). 2023 Sep 27;6(4):361-369. doi: 10.1002/agm2.12270. eCollection 2023 Dec.
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.
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.
The mean adherence rate was 65% (SD 34.3%). In the regression model, the number of medications [ = 0.360, 95% CI (0.098-0.630)], social support for exercising [ = 0.080, 95% CI (0.015-0.145)], and self-efficacy for exercising [ = -0.034, 95% CI (-0.068-0.000)] significantly explained 31% ( = 0.312) of the variance in exercise adherence. Older adults with better adherence took more steps/day at 6 weeks [ = 0.001, 95% CI (0.000-0.001)].
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.
本研究以多民族亚洲人群为对象,评估对规定的家庭锻炼计划的依从性,探索预测依从性的因素,并评估家庭锻炼依从性是否与身体活动相关。
在新加坡两家老年门诊诊所对68名65岁及以上的老年人进行了一项前瞻性队列研究,这些老年人在接受为期6周的门诊物理治疗以预防跌倒的同时,还接受了量身定制的家庭锻炼。依从性以完成规定疗程的百分比来衡量。预测变量包括社会人口学因素、临床特征、干预特定因素以及身体和心理社会指标。进行多变量线性回归以建立最能预测对规定锻炼依从性的模型。在6周时通过横断面单变量分析对通过加速度计测量的身体活动水平进行分析。
平均依从率为65%(标准差34.3%)。在回归模型中,药物数量[β = 0.360,95%置信区间(0.098 - 0.630)]、锻炼的社会支持[β = 0.080,95%置信区间(0.015 - 0.145)]和锻炼的自我效能感[β = -0.034,95%置信区间(-0.068 - 0.000)]显著解释了锻炼依从性差异的31%(R² = 0.312)。依从性较好的老年人在6周时每天走的步数更多[β = 0.001,95%置信区间(0.000 - 0.001)]。
新加坡老年人对家庭锻炼计划的依从性较低,这凸显了改进的必要性。与直觉相反的是,服用更多药物、锻炼自我效能感较低但社会支持较高的老年人表现出更高的依从性。满足未得到满足的社会支持需求对于提高依从率和降低跌倒风险至关重要。