Miller Kyle J, Mesagno Christopher, McLaren Suzanne, Grace Fergal, Yates Mark, Gomez Rapson
School of Health and Life Sciences, Federation University, Ballarat, VIC, Australia.
Faculty of Health, School of Medicine, Ballarat Health Services, Deakin University, Ballarat, VIC, Australia.
Front Psychol. 2019 Sep 19;10:2145. doi: 10.3389/fpsyg.2019.02145. eCollection 2019.
Depression is a chronic condition that affects up to 15% of older adults. The healthogenic effects of regular exercise are well established, but it is still unclear which exercise-related variables characterise the antidepressant effects of exercise. Thus, the purpose of this study was to examine the extent to which exercise-related variables (exercise behaviour, exercise-induced mood, exercise self-efficacy, and social support) can predict depressive symptoms in a cohort of community-dwelling older adults.
This study employed a cross-sectional analysis of questionnaire data from a sample of 586 community-dwelling older Australians aged 65 to 96 years old. Participants completed the Center for Epidemiologic Studies Depression Scale, modified CHAMPS Physical Activity Questionnaire for Older Adults, Four-Dimension Mood Scale, Self-Efficacy for Exercise Scale, and Social Provisions Scale - Short Form. Bivariate correlations were performed, and hierarchical multiple regression was subsequently used to test the regression model.
Exercise behaviour, exercise-induced mood, exercise self-efficacy, and social support were all negatively associated with depressive symptoms ( = -0.20 to -0.56). When the variables were entered as predictors into the hierarchical multiple regression model, social support was the strongest predictor of depressive symptoms (β = -0.42), followed by exercise-induced mood (β = -0.23), and exercise self-efficacy (β = -0.07). Exercise behaviour did not explain any additional variance in depressive symptoms. A modest interaction effect was also observed between exercise-induced mood and social support.
These findings indicate that social support is the strongest predictor of depressive symptomology in community-dwelling older adults, particularly when combined with positive exercise-induced mood states. When addressing the needs of older adults at risk of depression, healthcare professionals should consider the implementation of exercise programmes that are likely to benefit older adults by improving mood, enhancing self-efficacy, and building social support.
抑郁症是一种慢性病,影响着高达15%的老年人。定期锻炼对健康的益处已得到充分证实,但仍不清楚哪些与锻炼相关的变量能够表征锻炼的抗抑郁效果。因此,本研究的目的是考察与锻炼相关的变量(锻炼行为、锻炼诱发的情绪、锻炼自我效能感和社会支持)在多大程度上能够预测社区居住的老年人群体中的抑郁症状。
本研究对586名年龄在65至96岁的澳大利亚社区居住老年人样本的问卷数据进行了横断面分析。参与者完成了流行病学研究中心抑郁量表、针对老年人的改良CHAMPS身体活动问卷、四维情绪量表、锻炼自我效能量表和社会支持量表简表。进行了双变量相关性分析,随后使用层次多元回归来检验回归模型。
锻炼行为、锻炼诱发的情绪、锻炼自我效能感和社会支持均与抑郁症状呈负相关(r = -0.20至-0.56)。当将这些变量作为预测因子纳入层次多元回归模型时,社会支持是抑郁症状的最强预测因子(β = -0.42),其次是锻炼诱发的情绪(β = -0.23)和锻炼自我效能感(β = -0.07)。锻炼行为并未解释抑郁症状中的任何额外方差。在锻炼诱发的情绪和社会支持之间还观察到了适度的交互作用。
这些发现表明,社会支持是社区居住老年人抑郁症状的最强预测因子,特别是当与积极的锻炼诱发情绪状态相结合时。在满足有抑郁风险的老年人的需求时,医疗保健专业人员应考虑实施可能通过改善情绪、增强自我效能感和建立社会支持而使老年人受益的锻炼计划。