Within-Person Temporal Associations Among Self-Reported Physical Activity, Sleep, and Well-Being in College Students

被引:5
|
作者
McGowan, Amanda L. [1 ,15 ,16 ]
Boyd, Zachary M. [2 ]
Kang, Yoona [1 ]
Bennett, Logan [1 ]
Mucha, Peter J. [3 ]
Ochsner, Kevin N. [4 ]
Bassett, Dani S. [8 ,9 ,10 ,11 ,12 ,13 ]
Falk, Emily B. [1 ,5 ,6 ,7 ]
Lydon-Staley, David M. [1 ,14 ]
机构
[1] Univ Penn, Annenberg Sch Commun, Philadelphia, PA USA
[2] Brigham Young Univ, Dept Math, Provo, UT USA
[3] Dartmouth Coll, Dept Math, Hanover, NH USA
[4] Columbia Univ, Dept Psychol, New York, NY USA
[5] Univ Penn Wharton Sch, Dept Psychol, Philadelphia, PA USA
[6] Univ Penn Wharton Sch, Mkt Dept, Philadelphia, PA USA
[7] Univ Penn Wharton Sch, Informat & Decis Dept, Philadelphia, PA USA
[8] Univ Penn, Sch Engn & Appl Sci, Perelman Sch Med, Dept Bioengn, Philadelphia, PA USA
[9] Univ Penn, Coll Arts & Sci, Perelman Sch Med, Dept Phys & Astron, Philadelphia, PA USA
[10] Univ Penn, Sch Engn & Appl Sci, Perelman Sch Med, Dept Elect & Syst Engn, Philadelphia, PA USA
[11] Univ Penn, Perelman Sch Med, Dept Neurol, Philadelphia, PA USA
[12] Univ Penn, Perelman Sch Med, Dept Psychiat, Philadelphia, PA USA
[13] Santa Fe Inst, Santa Fe, NM USA
[14] Univ Penn, Leonard Davis Inst Hlth Econ, Philadelphia, PA USA
[15] Concordia Univ, Dept Psychol, Montreal, PQ, Canada
[16] Concordia Univ, Dept Psychol, 7141 Sherbrooke West, Montreal, PQ H4B1R6, Canada
来源
PSYCHOSOMATIC MEDICINE | 2023年 / 85卷 / 02期
关键词
network analyses; health behavior; ecological momentary assessment; emotions; physical activity; EMA = Ecological Momentary Assessment; EMI = Ecological Momentary Intervention; LTEQ = Leisure Time Exercise Questionnaire; MET = metabolic equivalents; mlVAR = multilevel vector autoregressive model; ECOLOGICAL MOMENTARY ASSESSMENT; GENDERED CITATION PATTERNS; TO-DAY ASSOCIATIONS; DAILY-LIFE; CONSENSUS STATEMENT; SEDENTARY BEHAVIOR; FEELING GOOD; ALCOHOL-USE; EXERCISE; HEALTH;
D O I
10.1097/PSY.0000000000001159
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
ObjectiveA 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.MethodsUsing 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.ResultsNetwork 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.ConclusionsAlthough 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.
引用
收藏
页码:141 / 153
页数:13
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