ArticleJournal of clinical psychology2022
Mental health and resilience during the coronavirus pandemic: A machine learning approach.
Article in Journal of clinical psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.
- Was the COVID-19 Pandemic a Triggering Factor for PTSD in Adults? Results From A Systematic Review.Actas espanolas de psiquiatria · 2025Pooled it
- The Association of Social Support and Loneliness with Symptoms of Depression, Anxiety, and Posttraumatic Stress during the COVID-19 Pandemic: A Meta-Analysis.International journal of environmental research and public health · 2023Pooled it
- Machine learning-based predictive modelling of mental health in Rwandan Youth.Scientific reports · 2025Article
- Chronic stress and lack of social support: Role in adolescent depression and suicide-related behaviors in the context of the COVID-19 pandemic.Journal of affective disorders · 2024Article
- The application of machine learning techniques in posttraumatic stress disorder: a systematic review and meta-analysis.NPJ digital medicine · 2024Review
- Effects of Family Environment on Depressive Symptoms in Postgraduate Students: Longitudinal Moderating Effect of Family Support and Mediating Effect of Psychological Resilience.Depression and anxiety · 2024Article
- Hope's relationship with resilience and mental health during the COVID-19 pandemic.Current opinion in psychology · 2023Review
- The Fully Mediating Role of Psychological Resilience between Self-Efficacy and Mental Health: Evidence from the Study of College Students during the COVID-19 Pandemic.Healthcare (Basel, Switzerland) · 2023Article
- Mental health and resilience during the coronavirus pandemic: A machine learning approach.Journal of clinical psychology · 2022Article
- Technology as a Double-Edged Sword: Understanding Life Experiences and Coping With COVID-19 in India.Frontiers in psychology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study explored risk and resilience factors of mental health functioning during the coronavirus disease (COVID-19) pandemic.
methodsA sample of 467 adults (M age = 33.14, 63.6% female) reported on mental health (depression, anxiety, posttraumatic stress disorder [PTSD], and somatic symptoms), demands and impacts of COVID-19, resources (e.g., social support, health care access), demographics, and psychosocial resilience factors.
resultsDepression, anxiety, and PTSD rates were 44%, 36%, and 23%, respectively. Supervised machine learning models identified psychosocial factors as the primary significant predictors across outcomes. Greater trauma coping self-efficacy and forward-focused coping, but not trauma-focused coping, were associated with better mental health. When accounting for psychosocial resilience factors, few external resources and demographic variables emerged as significant predictors.
conclusionWith ongoing stressors and traumas, employing coping strategies that emphasize distraction over trauma processing may be warranted. Clinical and community outreach efforts should target trauma coping self-efficacy to bolster resilience during a pandemic.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.