采用X学习者算法评估体育活动对老年人心理健康决定因素的干预效果。
Employing the X-Learner Algorithm to Evaluate the Intervention Effects of Physical Activity on Determinants of Elderly Mental Health.
作者信息
Kim Seungmo, Oh Taeyeon
机构信息
Department of Sports and Health Sciences, Faculty of Arts and Social Sciences, Hong Kong Baptist University, Hong Kong, China.
Seoul AI School, aSSIST University, Seoul 03767, Republic of Korea.
出版信息
Healthcare (Basel). 2025 Jun 2;13(11):1319. doi: 10.3390/healthcare13111319.
(1) Objectives: This study aimed to investigate the intervention effects of physical activity and sedentary behavior on the relationship between various influencing factors and mental health outcomes in the elderly. (2) Methods: Complied data collected from a nationwide survey conducted between 2013 and 2022 were analyzed using the X-Learner algorithm to explore these relationships. (3) Results: The findings indicate that engagement in both high- and moderate-intensity physical activities leads to statistically significant improvements in depression, suicidal ideation, and stress levels compared to non-participation. (4) Conclusions: The study emphasizes the essential role of physical activity in enhancing the mental health of the elderly in South Korea, demonstrating that high- and moderate-intensity exercise can effectively reduce depression, suicidal thoughts, and perceived stress. It also highlights the detrimental effects of prolonged sedentary behavior on the mental health of older adults.
(1) 目的：本研究旨在探讨身体活动和久坐行为对老年人各种影响因素与心理健康结果之间关系的干预效果。(2) 方法：对2013年至2022年期间全国范围内调查收集的合规数据使用X-Learner算法进行分析，以探究这些关系。(3) 结果：研究结果表明，与不参与相比，进行高强度和中等强度的身体活动在统计学上能显著改善抑郁、自杀意念和压力水平。(4) 结论：该研究强调了身体活动在增进韩国老年人心理健康方面的重要作用，表明高强度和中等强度运动可有效减轻抑郁、自杀念头和感知到的压力。它还突出了长时间久坐行为对老年人心理健康的有害影响。
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