ArticlePsychology of sport and exercise2023
Sleep disturbances and depression are bidirectionally associated among college student athletes across COVID-19 pandemic exposure classes.
Article in Psychology of sport and exercise, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- "Burying the proud part of my body": a Chinese student-athlete's autoethnography from concussion recovery to role exit.Frontiers in sports and active living · 2026Article
- Psychological impact of an epidemic on the mental health of medical staff: a case study of mobile cabin hospitals in Beijing during the COVID-19 pandemic.Frontiers in public health · 2026Article
- Echoes of Strain: A Two-Year Longitudinal Study on the Impact of China's Zero-COVID Policy on College Students' Insomnia and Depressive Symptoms.Nature and science of sleep · 2025Article
- Mental health symptoms and associated factors among primary healthcare workers in China during the post-pandemic era.Frontiers in public health · 2024Article
- Prevalence and associated factors of depression, anxiety and stress among clinical therapists in China in the context of early COVID-19 pandemic.Frontiers in psychiatry · 2024Article
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Authors and funding
5 authors at 3 institutions in 1 country.
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Abstract
College athletes may be vulnerable to sleep disturbances and depression during the COVID-19 pandemic as a result of large shifts in social and athletic obligations. In a national sample of college athletes, we examined the associations between sleep disturbances and depression across two timepoints, using COVID-19 exposure as a moderator. Data were collected from 2098 NCAA Division I, II, and III college athletes during two timepoints, from April 10 to May 23, and from August 4 to September 15, 2020. First, a latent class analysis was conducted with five indicators of levels of COVID-19 exposure to determine different exposure profiles. Second, to examine the directionality of associations between sleep disturbance and depression, a cross-lagged panel model was added to the latent class membership structural equation model; this allowed for testing of moderation by COVID exposure class membership. Four highly homogeneous, well-separated classes of COVID-19 exposure were enumerated: Low Exposure (57%); Quarantine Only (21%); High Other, Low Self Exposure (14%); and High Exposure (8%). COVID-19 exposure class membership did not significantly moderate associations between sleep disturbances and depression. However, student athletes significantly differed in T2 depression by their COVID-19 exposure class membership. Depression and sleep disturbances were positively correlated at both timepoints (
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