ArticleFrontiers in psychology2020
Identifying Predictors of Psychological Distress During COVID-19: A Machine Learning Approach.
Article in Frontiers in psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.
What it found
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Who cites it
67 citing papers in PubMed.
- Clinical applications of the Defense Mechanisms Rating Scale-Self-Report-30: a systematic review of the first five years.Research in psychotherapy (Milano) · 2025Article
- Long-term changes in health-related quality of life among Australian adults with psychological distress: a 16-year perspective.Archives of public health = Archives belges de sante publique · 2025Article
- How personality functioning relates to psychological distress and behavioral attitudes during the Covid-19 pandemic.European archives of psychiatry and clinical neuroscience · 2025Article
- The association between perceive social support and post-traumatic stress disorder symptoms among medical staff in Hubei, China: a chain mediating effect of resilience and positive coping.BMC public health · 2024Article
- Identification of angiogenesis-related genes and molecular subtypes for psoriasis based on random forest algorithm.Clinical and experimental immunology · 2024Article
- Machine learning applications in studying mental health among immigrants and racial and ethnic minorities: an exploratory scoping review.BMC medical informatics and decision making · 2024Article
- Associations of mood symptoms and body mass among individuals with COVID-19.Proceedings (Baylor University. Medical Center) · 2024Article
- Defense mechanisms are associated with mental health symptoms across six countries.Research in psychotherapy (Milano) · 2023Article
- The Evolution of Psychological Distress Levels in University Students in Spain during Different Stages of the COVID-19 Pandemic: Risk and Protective Factors.European journal of investigation in health, psychology and education · 2023Article
- Pre-COVID brain functional connectome features prospectively predict emergence of distress symptoms after onset of the COVID-19 pandemic.Psychological medicine · 2023Article
- A machine learning approach to predict self-protecting behaviors during the early wave of the COVID-19 pandemic.Scientific reports · 2023Article
- Experiences of adolescent and young adult cancer survivors during the COVID-19 pandemic.Journal of cancer survivorship : research and practice · 2023Article
- A Review of Machine Learning and Deep Learning Approaches on Mental Health Diagnosis.Healthcare (Basel, Switzerland) · 2023Review
- COVID-19 related psychosocial problems among university students in Mexico - a longitudinal qualitative examination.Frontiers in public health · 2023Article
- Patient experiences with SARS-CoV-2: Associations between patient experience of disease and coping profiles.PloS one · 2023Article
- Effects of COVID-19 stress, proximity, and adverse childhood experiences on healthcare workers' mental health.Frontiers in psychology · 2023Article
- Identifying the predictors of severe psychological distress by auto-machine learning methods.Informatics in medicine unlocked · 2023Article
- Validation of depression determinants in caregivers of dementia patients with machine learning algorithms and statistical model.Frontiers in medicine · 2023Article
- Experiencing a slow passage of time was an indicator of social and temporal disorientation during the Covid-19 pandemic.Scientific reports · 2022Article
- Synthesis of Affective Expressions and Artificial Intelligence to Discover Mental Distress in Online Community.International journal of mental health and addiction · 2022Article
7 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Scientific understanding about the psychological impact of the COVID-19 global pandemic is in its nascent stage. Prior research suggests that demographic factors, such as gender and age, are associated with greater distress during a global health crisis. Less is known about how emotion regulation impacts levels of distress during a pandemic. The present study aimed to identify predictors of psychological distress during the COVID-19 pandemic. Participants (
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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.