Lee Harold H, Kim Eric S, Kim Younseo, Conroy David E, VanderWeele Tyler J
Department of Biobehavioral Health, The Pennsylvania State University, University Park, PA 16802, United States.
Department of Psychology, University of British Columbia, BC V6T 1Z4, United States.
Ann Behav Med. 2025 Jan 4;59(1). doi: 10.1093/abm/kaae082.
Many middle-aged to older adults do not engage in regular exercise at all, despite its importance for healthy aging. Extensive research grounded in behavioral and social science theories has identified numerous determinants of exercise. However, few studies used an exposure-wide approach, a data-driven exploratory method particularly useful for identifying novel determinants.
We used data from 13 771 participants in the Health and Retirement Study, a diverse, national panel study of adults aged >50 years in the United States, to evaluate 62 candidate determinants of exercise participation. Candidate predictors were drawn from the following domains: health behaviors, physical health, psychological well-being, psychological distress, social factors, and work. We used Poisson regression with robust error variance to individually regress exercise in the outcome wave (t2: 2014/2016) on baseline candidate predictors (at t1: 2010/2012) controlling for all covariates in the previous wave (t0: 2006/2008).
Some physical health conditions (eg, physical functioning limitations and lung disease), psychological factors (eg, health mastery, purpose in life, and positive affect), and social factors (eg, helping others, religious service attendance, and volunteering) were robustly associated with increased subsequent exercise. Among factors related to psychological distress, perceived constraints stood out as a factor in reducing exercise.
We identified potentially novel exercise determinants, such as helping friends/neighbors/relatives, religious attendance, and volunteering, that have not been captured using a theory-driven approach. Future studies validating these findings experimentally in midlife and older adults are needed.
许多中年及老年成年人根本不进行定期锻炼,尽管锻炼对健康老龄化很重要。基于行为和社会科学理论的广泛研究已经确定了众多锻炼的决定因素。然而,很少有研究采用全暴露方法,这是一种数据驱动的探索性方法,对识别新的决定因素特别有用。
我们使用了来自健康与退休研究中13771名参与者的数据,这是一项针对美国50岁以上成年人的多样化全国性面板研究,以评估62个锻炼参与的候选决定因素。候选预测因素来自以下领域:健康行为、身体健康、心理健康、心理困扰、社会因素和工作。我们使用具有稳健误差方差的泊松回归,将结果波(t2:2014/2016)中的锻炼单独回归到基线候选预测因素(t1:2010/2012),同时控制前一波(t0:2006/2008)中的所有协变量。
一些身体健康状况(如身体功能受限和肺部疾病)、心理因素(如健康掌控、生活目的和积极情绪)以及社会因素(如帮助他人、参加宗教仪式和志愿服务)与随后锻炼的增加密切相关。在与心理困扰相关的因素中,感知到的限制是减少锻炼的一个因素。
我们确定了潜在的新的锻炼决定因素,如帮助朋友/邻居/亲戚、参加宗教活动和志愿服务,这些因素尚未通过理论驱动的方法被发现。未来需要在中年和老年人中通过实验验证这些发现的研究。