Network analysis of depressive and anxiety symptoms with well-being in students during the COVID-19 pandemic: a repeated cross-sectional study
Jazyk angličtina Země Velká Británie, Anglie Médium electronic
Typ dokumentu časopisecké články
PubMed
39567599
PubMed Central
PMC11579462
DOI
10.1038/s41598-024-80095-w
PII: 10.1038/s41598-024-80095-w
Knihovny.cz E-zdroje
- MeSH
- COVID-19 * psychologie epidemiologie MeSH
- cvičení psychologie MeSH
- deprese * epidemiologie psychologie MeSH
- dospělí MeSH
- duševní zdraví MeSH
- lidé MeSH
- mladiství MeSH
- mladý dospělý MeSH
- osobní uspokojení MeSH
- pandemie MeSH
- průřezové studie MeSH
- průzkumy a dotazníky MeSH
- psychický stres epidemiologie psychologie MeSH
- SARS-CoV-2 izolace a purifikace MeSH
- sebevražedné myšlenky MeSH
- studenti * psychologie MeSH
- univerzity MeSH
- úzkost * epidemiologie psychologie MeSH
- Check Tag
- dospělí MeSH
- lidé MeSH
- mladiství MeSH
- mladý dospělý MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Česká republika epidemiologie MeSH
The university student population is particularly vulnerable to depression, which was identified during the COVID-19 pandemic. Understanding how depressive symptoms are interrelated with mental and physical health in students is essential. The aim of this study was to reveal the network of depressive and anxiety symptoms with respect to well-being (life satisfaction, physical health, physical activity, and perceived stress) during a difficult situation-the COVID-19 pandemic-at two measurement points of different pandemic severities. A repeated cross-sectional study was conducted in June 2020 (T1) (lower pandemic severity) and March 2021 (T2) (higher pandemic severity) among 592 and 1230 Czech university students, respectively. The measurements used were the PHQ-9, GAD-7, PSS-10, SWLS, self-rated physical health (SRH), and sociodemographic survey. The network analysis approach was utilized. For the significance of differences, the χ2 test, Student's t test, and ANOVA were performed. The results revealed that scale-level depression, stress, and worse SRH increased over time, whereas life satisfaction decreased. Scale-level anxiety and physical activity were stable over time. PHQ2 Sad mood was the most central and influential node at T1 and T2. PHQ9 Suicidal Ideation was closely related to other variables at T1, whereas PHQ1 Anhedonia was closely related to other variables at T2. The most influential risk factors were the PHQ-2 score and the GAD-2 score, which are associated with uncontrollable worrying, whereas life satisfaction, physical health, and physical activity were the most protective factors. It is crucial to recognize and decrease the PHQ2 score and increase life satisfaction to improve the mental health of university students.
Academy of Silesia 40 555 Katowice Poland
Department of Social Sciences Faculty of Medicine Academy of Silesia 40 555 Katowice Poland
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Baloch, S., Baloch, M. A., Zheng, T. & Pei, X. The coronavirus disease 2019 (COVID-19) pandemic. PubMed DOI
Kellam, P. & Barclay, W. The dynamics of humoral immune responses following SARS-CoV-2 infection and the potential for reinfection. PubMed DOI PMC
WorldOMeter. COVID-19 CORONAVIRUS PANDEMIC Raport. Accessed Dec 17, 2022.
Brooks, S. K. et al. The psychological impact of quarantine and how to reduce it: rapid review of the evidence. PubMed DOI PMC
Nelson, B. W., Pettitt, A., Flannery, J. E. & Allen, N. B. Rapid assessment of psychological and epidemiological correlates of COVID-19 concern, financial strain, and health-related behavior change in a large online sample. PubMed DOI PMC
Toprak, M. E. & Tunc, S. K. COVID-19 pandemic and emergency remote education practices: Effects on dentistry students. PubMed DOI
Chaturvedi, K., Vishwakarma, D. K. & Singh, N. COVID-19 and its impact on education, social life and mental health of students: A survey. PubMed DOI PMC
Garcia-Gonzalez, M.A., Torrano, F. & Garcia-Gonzalez, G. Analysis of stress factors for female professors at online universities. PubMed PMC
Herberger, J. The stress level associated with studying and its selected determinants.
O’Reilly, E., McNeill, K. G., Mavor, K. I. & Anderson, K. Looking beyond personal stressors: an examination of how academic stressors contribute to depression in Australian graduate medical students. PubMed DOI
Zivin, K., Eisenberg, D., Gollust, S. E. & Golberstein, E. Persistence of mental health problems and needs in a college student population. PubMed DOI
Benatov, J., Ochnik, D., Rogowska, A.M., Arzensek, A. & Mars Bitenc, U. Prevalence and sociodemographic predictors of mental health in a representative sample of young adults from Germany, Israel, Poland, and Slovenia: A longitudinal study during the COVID-19 pandemic. PubMed PMC
Mirza, A. A., Baig, M., Beyari, G. M., Halawani, M. A. & Mirza, A. A. Depression and anxiety among medical students: a brief overview. PubMed DOI PMC
McCloud, T., Kamenov, S., Callender, C., Lewis, G. & Lewis, G. The association between higher education attendance and common mental health problems among young people in England: evidence from two population-based cohorts. PubMed DOI PMC
Sanders, M. Student wellbeing over time: analysing Student Academic Experience Survey data for undergraduates and taught postgraduates. What Works for Wellbeing (2023).
Ochnik, D. et al. Mental health prevalence and predictors among university students in nine countries during the COVID-19 pandemic: a cross-national study. PubMed DOI PMC
Ochnik, D. et al. A comparison of depression and anxiety among university students in nine countries during the COVID-19 pandemic. PubMed PMC
Rogowska, A. M. et al. Satisfaction with life among university students from nine countries: Cross-national study during the first wave of COVID-19 pandemic. PubMed DOI PMC
Aslan, I., Ochnik, D. & Cinar, O. Exploring perceived stress among students in Turkey during the COVID-19 pandemic. PubMed PMC
Eek, F., Larsson, C., Wisen, A. & Ekvall Hansson, E. Self-perceived changes in physical activity and the relation to life satisfaction and rated physical capacity in Swedish adults during the COVID-19 pandemic—a cross sectional study. PubMed PMC
Rogowska, A. M. et al. Does physical activity matter for the mental health of university students during the COVID-19 pandemic? PubMed PMC
Şimşek, E., Koç, K., Özsoy, D. & Karakuş, M. Investigation the efect of performing physical activity at home on sleep quality and life satisfaction during coronavirus (Covid-19) outbreak.
Zhang, Y., Zhang, H., Ma, X. & Di, Q. Mental health problems during the COVID-19 pandemics and the mitigation effects of exercise: a longitudinal study of college students in China. PubMed PMC
Lesser, I. A. & Nienhuis, C. P. The impact of COVID-19 on physical activity behavior and well-being of Canadians. PubMed PMC
Qi, M., Li, P., Moyle, W., Weeks, B. & Jones, C. Physical activity, health-related quality of life, and stress among the chinese adult population during the COVID-19 pandemic. PubMed PMC
Wang, X. et al. Bidirectional influence of the COVID-19 pandemic lockdowns on health behaviors and quality of life among Chinese adults. PubMed PMC
Fernandes, M. et al. Relationship between depression and quality of life among students: a systematic review and meta-analysis. PubMed DOI PMC
Cummins, R. A. Subjective well-being, homeostatically protected mood and depression: A synthesis. In
Joshanloo, M. Longitudinal relations between depressive symptoms and life satisfaction over 15 years. DOI
Borsboom, D. A network theory of mental disorders. PubMed DOI PMC
Boschloo, L. et al. The network structure of symptoms of the diagnostic and statistical manual of mental disorders. PubMed DOI PMC
Jones, P. J., Mair, P. & McNally, R. J. Visualizing psychological networks: a tutorial in R. PubMed DOI PMC
Fried, E. I. & Nesse, R. M. Depression is not a consistent syndrome: An investigation of unique symptom patterns in the STAR*D study. PubMed DOI PMC
Beard, C. et al. Network analysis of depression and anxiety symptom relationships in a psychiatric sample. PubMed DOI PMC
Fried, E. I., Epskamp, S., Nesse, R. M., Tuerlinckx, F. & Borsboom, D. What are “good” depression symptoms? Comparing the centrality of DSM and non-DSM symptoms of depression in a network analysis. PubMed DOI
Liu, R. et al. Network analysis of depressive and anxiety symptoms in adolescents during and after the COVID-19 outbreak peak. PubMed DOI PMC
Cai, H. et al. Network analysis of depressive and anxiety symptoms in adolescents during the later stage of the COVID-19 pandemic. PubMed DOI PMC
Wang, Y., Li, Z. & Cao, X. Investigating the network structure and causal relationships among bridge symptoms of comorbid depression and anxiety: A Bayesian network analysis. PubMed DOI
Bai, W. et al. Network analysis of anxiety and depressive symptoms among nursing students during the COVID-19 pandemic. PubMed DOI PMC
McElroy, E., Napoleone, E., Wolpert, M. & Patalay, P. Structure and connectivity of depressive symptom networks corresponding to early treatment response. PubMed DOI PMC
Li, J. et al. The relationship between dimensions of empathy and symptoms of depression among university students during the COVID-19 pandemic: A network analysis. PubMed DOI PMC
Suh, W. Y., Lee, J., Yun, J. Y., Sim, J. A. & Yun, Y. H. A network analysis of suicidal ideation, depressive symptoms, and subjective well-being in a community population. PubMed DOI
Tang, Q. et al. Effects of neuroticism on differences in symptom structure of life satisfaction and depression-anxiety among college students: a network analysis. PubMed PMC
Hale, T. et al. A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). PubMed DOI
Borgatti, S. P. Centrality and network flow.
Robinaugh, D. J., Millner, A. J. & McNally, R. J. Identifying highly influential nodes in the complicated grief network. PubMed DOI PMC
Kok, A. A. L. et al. Mental health and perceived impact during the first Covid-19 pandemic year: A longitudinal study in Dutch case-control cohorts of persons with and without depressive, anxiety, and obsessive-compulsive disorders. PubMed DOI PMC
Ochnik, D., Rogowska, A. M., Arzensek, A. & Benatov, J. Can fear of COVID-19 be predicted by religiosity and trust in institutions among young adults? A prospective cross-national study. PubMed PMC
Kavvadas, D. et al. Stress, anxiety and depression prevalence among Greek university students during COVID-19 pandemic: a two-year survey. PubMed PMC
Epskamp, S. & Fried, E. I. A tutorial on regularized partial correlation networks. PubMed DOI
Fabiano, N. et al. The effect of exercise on suicidal ideation and behaviors: A systematic review and meta-analysis of randomized controlled trials. PubMed DOI
Murphy, S. T., Cheavens, J. S. & Strunk, D. R. Framing an intervention as focused on one’s strength: Does framing enhance therapeutic benefit?. PubMed DOI
Ochnik, D. et al. Mental health of undergraduates during the COVID-19 pandemic. 10.17605/OSF.IO/WFSQB (2023).
Kroenke, K., Spitzer, R. L. & Williams, J. B. The PHQ-9: validity of a brief depression severity measure. PubMed DOI PMC
Spitzer, R. L., Kroenke, K., Williams, J. B. & Lowe, B. A brief measure for assessing generalized anxiety disorder: the GAD-7. PubMed DOI
Cohen, S., Kamarck, T. & Mermelstein, R. A global measure of perceived stress. PubMed DOI
Friedman, J., Hastie, T. & Tibshirani, R. Sparse inverse covariance estimation with the graphical lasso. PubMed DOI PMC
Hevey, D. Network analysis: a brief overview and tutorial. PubMed DOI PMC
Diener, E., Emmons, R. A., Larsen, R. J. & Griffin, S. The Satisfaction With Life Scale. PubMed DOI
DeSalvo, K. B. et al. Assessing measurement properties of two single-item general health measures. PubMed DOI
World, Health & Organization. WHO guidelines on physical activity and sedentary behaviour: at a glance. Preprint at http://iris.who.int/handle/10665/337001 (2020). PubMed