From the Annenberg School for Communication, University of Pennsylvania (McGowan, Kang, Bennett, Falk, Lydon-Staley), Philadelphia, Pennsylvania; Department of Mathematics (Boyd), Brigham Young University, Provo, Utah; Department of Mathematics (Mucha), Dartmouth College, Hanover, New Hampshire; Department of Psychology (Ochsner), Columbia University, New York City, New York; Department of Psychology (Falk); Marketing Department, and Operations, Information and Decision Department, Wharton School (Falk); Department of Bioengineering, School of Engineering and Applied Science (Bassett, Lydon-Staley; Department of Physics and Astronomy, College of Arts and Sciences (Bassett); Department of Electrical and Systems Engineering, School of Engineering and Applied Science (Bassett); Departments of Neurology (Bassett) and Department of Psychiatry (Bassett), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Santa Fe Institute (Bassett), Santa Fe, New Mexico; Leonard Davis Institute of Health Economics (Lydon-Staley), University of Pennsylvania, Philadelphia, Pennsylvania; and Department of Psychology (McGowan), Concordia University, Montréal, Québec, Canada.
Psychosom Med. 2023;85(2):141-153. doi: 10.1097/PSY.0000000000001159. Epub 2022 Dec 27.
A holistic understanding of the naturalistic dynamics among physical activity, sleep, emotions, and purpose in life as part of a system reflecting wellness is key to promoting well-being. The main aim of this study was to examine the day-to-day dynamics within this wellness system.
Using self-reported emotions (happiness, sadness, anger, anxiousness) and physical activity periods collected twice per day, and daily reports of sleep and purpose in life via smartphone experience sampling, more than 28 days as college students ( n = 226 young adults; mean [standard deviation] = 20.2 [1.7] years) went about their daily lives, we examined day-to-day temporal and contemporaneous dynamics using multilevel vector autoregressive models that consider the network of wellness together.
Network analyses revealed that higher physical activity on a given day predicted an increase of happiness the next day. Higher sleep quality on a given night predicted a decrease in negative emotions the next day, and higher purpose in life predicted decreased negative emotions up to 2 days later. Nodes with the highest centrality were sadness, anxiety, and happiness in the temporal network and purpose in life, anxiety, and anger in the contemporaneous network.
Although the effects of sleep and physical activity on emotions and purpose in life may be shorter term, a sense of purpose in life is a critical component of wellness that can have slightly longer effects, bleeding into the next few days. High-arousal emotions and purpose in life are central to motivating people into action, which can lead to behavior change.
全面理解体力活动、睡眠、情绪和生活目标作为反映健康的系统的一部分之间的自然动态,是促进健康的关键。本研究的主要目的是研究该健康系统内的日常动态。
使用自我报告的情绪(幸福、悲伤、愤怒、焦虑)和每天两次收集的体力活动期,以及通过智能手机体验采样报告的睡眠和生活目标,超过 28 天的大学生(n=226 名年轻成年人;平均[标准差]=20.2[1.7]岁)过着日常生活,我们使用多层次向量自回归模型,同时考虑健康网络,检查日常时间和同期动态。
网络分析显示,给定日期较高的体力活动预示着第二天幸福感的增加。给定晚上较高的睡眠质量预示着第二天负面情绪的减少,生活目标较高预示着两天后负面情绪的减少。时变网络中具有最高中心性的节点是悲伤、焦虑和幸福,同期网络中是焦虑和愤怒。
尽管睡眠和体力活动对情绪和生活目标的影响可能是短期的,但生活目标是健康的一个关键组成部分,它的影响可以稍微长一些,延续到接下来的几天。高唤醒情绪和生活目标是激励人们采取行动的核心,这可以导致行为改变。