ArticlePsychiatry research2022
The relations between emotion regulation, depression and anxiety among medical staff during the late stage of COVID-19 pandemic: a network analysis.
Article in Psychiatry research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
51 citing papers in PubMed, 98 citations in OpenAlex.
- Mapping the Symptom Networks of Depression, Anxiety, and Their Comorbidity Among Chinese Individuals Under Community Correction.Psychiatry investigation · 2026Article
- Moral injury severity profiles and their pathways to negative emotions in medical staff: the differential mediating role of emotion regulation.BMC psychology · 2026Article
- Symptom-specific intervention targets for depression and anxiety among older adults by physical multimorbidity patterns: a simulation-based network analysis.Social psychiatry and psychiatric epidemiology · 2026Article
- Personality Perspective on Moral Injury Among Chinese Healthcare Workers: A Network Analysis.Journal of religion and health · 2026Article
- Network analysis of emotion regulation and moral injury symptoms among medical staff.Scientific reports · 2026Article
- Cross sectional analysis of emotion regulation, psychological distress and well being of emerging adult students in Urban India post COVID 19.Scientific reports · 2026Article
- Network analysis of loneliness and mental health among Chinese first-year medical college students: the role of regulatory emotional self-efficacy.BMC psychiatry · 2025Article
- Network analysis of burnout, depression, and anxiety with occupational and personal outcomes among clinical nurses in China.Scientific reports · 2025Article
- The Relationship between Loneliness and Depression Symptoms in Adolescents: Network Analysis and Cross-lag Panel Model.The Psychiatric quarterly · 2025Article
- Gender differences in parent-child alienation and its relationship to depressive symptoms in left-behind children: a comparative analysis of undirected and directed networks.BMC public health · 2025Article
- Network analysis of social support and anxiety symptoms among college students during the COVID-19 pandemic.BMC psychiatry · 2025Article
- Relationships between depression and difficulties in emotion regulation among first-year college students: a network analysis approach.BMC psychology · 2025Article
- The component-to-trait relationship between intolerance of uncertainty and obsessive-compulsive personality traits: a network analysis.BMC psychiatry · 2025Article
- Unraveling the impact of cyberporn motivations on mental health: insights from Chinese college students.BMC psychology · 2025Article
- The Impact of Cognitive Reappraisal Intervention on Depressive Tendencies in Chinese College Students: The Mediating Role of Regulatory Emotional Self-Efficacy.Behavioral sciences (Basel, Switzerland) · 2025Article
- Gender differences in the network of suicidal ideation, interpersonal needs and depressive symptoms among Chinese college students.Scientific reports · 2025Article
- Personality perspective on depression and anxiety symptoms among Chinese adolescents and young adults: a two-sample network analysis.BMC psychiatry · 2025Article
- Article
- The power of emotion regulation: how managing sadness influences depression and anxiety?BMC psychology · 2025Article
- Network of anxiety and depression symptoms in older Chinese adults living alone: a cross-sectional study.Frontiers in psychiatry · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Existing research proposed that moving from a disorder-level analysis to a symptom-level analysis may provide a more fine-grained understanding of psychopathology. This study aimed to explore the relations between two dimensions (i.e., cognitive reappraisal, CR; expressive suppression, ES) of emotion regulation and individual symptoms of depression and anxiety among medical staff during the late stage of COVID-19 pandemic. We examined depression symptoms, anxiety symptoms and emotion regulation among 420 medical staff during the late stage of COVID-19 pandemic via network analysis. Two networks (i.e. emotion regulation-depression network and emotion regulation-anxiety network) were constructed in the present study. Bridge centrality index was calculated for each variable within the two networks. Among the present sample, the prevalences of depression and anxiety are 39.5% and 26.0%. CR and ES showed distinct connections to symptoms of depression and anxiety. Results of bridge centrality showed that in both networks, CR had a negative bridge expected influence value while ES had a positive bridge expected influence value. The results revealed the specific role of CR and ES in relation to depression and anxiety at a symptom level. Implications for clinical preventions and interventions are discussed.
Indexed as
Identifiers
What OpenQuestion holds
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.