Department of Psychological & Brain Sciences, Washington University in St. Louis, One Brookings Drive, St. Louis, MO, Box 1125, USA.
Department of Psychology, Faculty of Humanities, University of Johannesburg, Johannesburg, South Africa.
J Behav Med. 2023 Oct;46(5):757-769. doi: 10.1007/s10865-023-00404-y. Epub 2023 Mar 15.
In order to increase engagement in physical activity, it is important to determine which factors contribute to physical activity engagement in older adults. The current study examined the relative predictive ability of several potential determinants, in terms of both the concurrent level as well as longitudinal trajectories. Clinically normal adults aged 61-92 completed the Physical Activity Scale for the Elderly (n = 189 for cross-sectional models; n = 214 for longitudinal models). Potential determinants included age, gender, education, physical health, sensory health, mood, cardiovascular health, cognitive status, and biomarkers of Alzheimer disease (AD). We observed a novel finding that both concurrent physical health (p < 0.001) and change in physical health (p < 0.001) were significant predictors above and beyond other determinants. Concurrent mood predicted levels of physical activity (p = 0.035), particularly in females. These findings suggest that poor physical health and low mood might be important to consider as potential barriers to physical activity engagement in older adults.
为了提高老年人参与身体活动的积极性,确定哪些因素有助于他们参与身体活动是很重要的。本研究从当前水平和纵向轨迹两个方面,考察了几个潜在决定因素的相对预测能力。年龄在 61-92 岁之间的临床正常成年人完成了《老年人身体活动量表》(横断面模型为 189 人,纵向模型为 214 人)。潜在的决定因素包括年龄、性别、教育、身体健康、感官健康、情绪、心血管健康、认知状态和阿尔茨海默病(AD)的生物标志物。我们观察到一个新的发现,即当前的身体健康状况(p<0.001)和身体健康状况的变化(p<0.001)是超越其他决定因素的重要预测因素。当前的情绪状况预测了身体活动的水平(p=0.035),尤其是对女性而言。这些发现表明,身体不好和情绪低落可能是老年人参与身体活动的重要障碍。