ArticleInternational journal of exercise science2022
Participation in Higher Intensity Physical Activity Predicts Lower Depressive Symptom Incidence in College Students.
Article in International journal of exercise science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
3 citing papers in PubMed, 4 citations in OpenAlex.
- The effect of physical activities on internet addiction in college students: the mediating effect of self-control.Frontiers in psychology · 2025Article
- Influence of physical activity on perceived stress and mental health in university students: a systematic review.Frontiers in sports and active living · 2025Review
- Physical Activity is Related to Mental Health and Sexual Orientation Among Women in College.International journal of exercise science · 2022Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The prevalence of depression and insufficient physical activity (PA) continue to rise in the United States, particularly among college students. PA is typically associated with decreased levels of depressive symptoms; however, the association between different intensities of PA and depressive symptoms is unclear among college students. The aim of this study was to examine how well weekly moderate PA (MPA), vigorous PA (VPA) and strength training (ST) volumes predicted depressive symptoms in college students. Students self-reported weekly MPA, VPA, ST, depressive symptoms (CESD-7), restful nights of sleep, grade point average (GPA) and socio-demographic characteristics. Four individual linear regression models were performed to examine how MPA, VPA, and ST predicted depressive symptoms. Covariates controlled for socio-demographic characteristics (gender, race/ethnicity, and sexual orientation) and other variables (GPA and sleep) that could influence depressive symptoms. Data suggested that higher volumes of VPA (
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Registered trials
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