ArticleBMC public health2024
Differences in the depression and burnout networks between doctors and nurses: evidence from a network analysis.
Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- Network analysis of the relationships between psychological capital and emotional exhaustion in clinical nurses during the post-epidemic period.Social psychiatry and psychiatric epidemiology · 2026Article
- Occupational stress, burnout, and depression: an exploration from a network analysis perspective.Psychological medicine · 2026Article
- Relationship between depression, anxiety and emotional exhaustion among infectious disease nurses: a network analysis.BMC psychiatry · 2026Article
- Demographic Variances of Burnout Prevalence Among Healthcare Workers of a Tertiary Hospital in Ghana.Health services insights · 2026Article
- Depression and Artificial Intelligence Anxiety Among Chinese University Students: A Bayesian Network Analysis.Depression and anxiety · 2026Article
- Article
- Impact of a Medical-Government Conflict on Healthcare Workers' Mental Health in a Single Tertiary Hospital.Journal of clinical medicine · 2025Article
- Workplace violence predicts depression and anxiety in nurses: a multi-center longitudinal study in China.BMC psychiatry · 2025Article
- Childhood experience profiles and their impact on depression-burnout networks among nurses: a latent class and network analysis.BMC nursing · 2025Article
- Insomnia and depressive symptoms mediate childhood abuse and psychotic experience of male juvenile offenders: a chain mediation model.BMC psychology · 2025Article
- Gender differences in the network of suicidal ideation, interpersonal needs and depressive symptoms among Chinese college students.Scientific reports · 2025Article
- Elucidating the relationship between burnout and sleep disturbances among firefighters: a network analysis.BMC public health · 2025Article
- Mapping Connection and Direction Among Symptoms of Sleep Disturbance and Perceived Stress in Firefighters: Embracing the Network Analysis Perspective.Nature and science of sleep · 2025Article
- Interrelationships of Anxiety, Burnout, Depression, and Insomnia Among Chinese Healthcare Workers Exposed to Workplace Violence: A Network Analysis.Depression and anxiety · 2025Article
- Are Healthcare Organizations Healthy Work Ecosystems? Health and Well-Being of Health Professionals.Healthcare (Basel, Switzerland) · 2024Article
- Prevalence, Patterns, and Predictors of Burnout Among Healthcare Workers in a Tertiary Hospital in North-Eastern Nigeria.Nigerian medical journal : journal of the Nigeria Medical AssociationReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPrevious studies have demonstrated a strong association between depression and job burnout among healthcare professionals, but the results have been inconsistent, and there is a lack of in-depth exploration of such a relationship among different healthcare professions. The present study aims to investigate the interrelationships between depression and burnout among Chinese healthcare professionals and whether there are differences in the networks of these symptoms between doctors and nurses.
methodsThe Maslach Burnout Inventory-General Survey and the 2-item Patient Health Questionnaire were employed to assess job burnout and depression among 3,684 healthcare professionals. The translation has been refined to ensure accuracy and academic suitability. Subsequently, network analysis was conducted on 2,244 participants with a higher level of job burnout to identify core symptoms and explore the associations between job burnout and depression.
resultsThe present study showed a network association between lack of interest and pleasure in things and being exhausted from work, excessive tiredness facing work, tendency to collapse at work, and lack of passion for work than before among healthcare professionals, as well as a notable difference in the network association between lack of interest and pleasure in things and lack of passion for work than before between nurses and doctors.
conclusionsThe depression-burnout network structures differ between doctors and nurses, highlighting the need for targeted intervention measures for both groups.
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.