The temporal dynamics of the association between daily physical activity and life satisfaction
Jazyk angličtina Země Anglie, Velká Británie Médium print
Typ dokumentu časopisecké články
Grantová podpora
CZ.02.01.01/00/22_008/0004583
Research of Excellence on Digital Technologies and Wellbeing
CZ.10.03.01/00/22_003/0000003
European Union
PubMed
41224246
PubMed Central
PMC12757008
DOI
10.1093/abm/kaaf079
PII: 8321947
Knihovny.cz E-zdroje
- Klíčová slova
- Bayesian vector autoregressive model, air pollution, dynamic modeling, exercise identity, life satisfaction, physical activity, within-person variability,
- MeSH
- Bayesova věta MeSH
- cvičení * psychologie MeSH
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladiství MeSH
- mladý dospělý MeSH
- osobní uspokojení * MeSH
- prospektivní studie MeSH
- senioři MeSH
- znečištění ovzduší MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladiství MeSH
- mladý dospělý MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
PURPOSE: Life satisfaction (LS) is increasingly recognized as a crucial indicator and predictor of health and well-being across the lifespan. The impact of LS may be enhanced through physical activity (PA), although studies exploring the dynamic and bidirectional nature of the relationship are scarce. One principal goal of this project is to examine the dynamic, personalized interactions between LS and PA and exercise identity (the degree to which exercise is a fundamental aspect of one's self-concept) in geographic areas with different air pollution loads. METHOD: We used data from a 12-month prospective cohort study (N = 1314, mean age = 38.09 [12.55]; range 18-65) with four 2-week intensive measurement bursts to evaluate the bidirectional relationship between LS (assessed at the end of the day) and PA (assessed by Fitbit Charge 3 or 4 throughout the day). The sample included both active (runners; n = 747, 57%) and inactive (n = 567, 43%) individuals living in Moravia-Silesia and South Bohemia, geographic areas with different levels of air pollution. A dynamic Bayesian model based on an extension of the vector autoregressive model was used to estimate both lagged and contemporaneous associations between LS and PA. RESULTS: There were meaningful autoregressive effects of first order for both LS (β = 0.394) and PA (β = 0.316), and a within-person contemporaneous association between LS and PA (β = 0.087) that was also associated with temporal factors and trends (weekly and monthly seasonal variation, day in study), gender, age, and exercise identity. CONCLUSION: This study highlights the importance of periodicity on 2 temporal scales for both PA and LS, with age and gender also playing crucial roles. The findings underscore the importance of tailored, context-aware interventions to sustain engagement and enhance well-being through PA.
Adults’ feelings about their lives can change from one day to the next. In this year-long study, over 1300 participants wore fitness trackers and answered daily questionnaires about life satisfaction. On days when people walked more, they also reported feeling happier with their lives, especially those who strongly identify as “someone who exercises.” However, this boost didn’t carry over to the following day. We also noticed clear patterns across the week and seasons, with activity and life satisfaction both peaking on weekends and in summer. These results highlight the importance of encouraging daily movement, not just for physical health, but for mental well-being too. Fitness apps and programs can use these insights to tailor support, motivate people to stay active every day, and help reinforce a positive mindset in real time.
Freie Universität Berlin Berlin 14195 Germany
Heidelberg University Heidelberg 69117 Germany
Institute of Computer Science The Czech Academy of Sciences Prague 18200 Czech Republic
Khoury College of Computer Science Northeastern University Boston MA 02115 United States
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