ArticleTranslational psychiatry2021
Network analysis of depressive symptoms in Hong Kong residents during the COVID-19 pandemic.
Article in Translational psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 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
53 citing papers in PubMed, 90 citations in OpenAlex.
- Self-focused rumination links stressful events to depressive and anxiety symptoms in older adults with depressive symptoms: path and network analyses.Scientific reports · 2026Article
- Simulating symptom-specific interventions linking depression and anxiety among civil aviation college students: a network analysis differentiated by perceived parental relationships.BMC psychology · 2026Article
- Comparison of depressive symptoms between heterosexual and sexual minority university students: network analysis.Psicologia, reflexao e critica : revista semestral do Departamento de Psicologia da UFRGS · 2026Article
- The impact of parental divorce on the comorbidity of depression and social anxiety symptoms in adolescents and young adults: evidence from symptom and Bayesian network analysis.BMC public health · 2026Article
- Anxiety and Depressive Symptoms Before and During the COVID-19 Pandemic: A Longitudinal Network Analysis.Depression and anxiety · 2026Article
- Dissecting Depression in Cardiovascular Disease in Middle-Aged and Older Adults: Evidence That Comorbidity is Associated with Higher Depression Network Strength.Psychology research and behavior management · 2026Article
- Associations among mental health promotion, sleep concerns, fatigue, and stress in clinical nurses: network and latent profile analysis.Frontiers in public health · 2026Article
- Network analysis of mutuality and depression symptoms in stroke survivors in China.Scientific reports · 2025Article
- The impact of dichotomization on network recovery.Behavior research methods · 2025Article
- Cross-sectional and longitudinal network analyses depict variations of symptom networks in depression patients across the lifespan: insight from a large-scale sample.BMC psychiatry · 2025Article
- Childhood experience profiles and their impact on depression-burnout networks among nurses: a latent class and network analysis.BMC nursing · 2025Article
- Natural language processing reveals network structure of pain communication in social media using discrete mathematical analysis.Scientific reports · 2025Article
- Depressive symptoms and internet use among middle-aged and older adults pre- and post-COVID-19 outbreak: a network analysis.BMC psychology · 2025Article
- Prevalence of depression and its network structure and association with quality of life in older adults with hypertension: findings of a national survey.Psychogeriatrics : the official journal of the Japanese Psychogeriatric Society · 2025Article
- Changes in network centrality of anxiety and depression symptoms associated with childhood trauma among Chinese college students.BMC psychiatry · 2025Article
- Network analysis of central symptoms in Chinese young adults with subthreshold depression.Translational psychiatry · 2025Article
- Examining the influence of two emotion regulation strategies on anxiety in Chinese college students: insights from cross-lagged and moderated network models.BMC psychology · 2025Article
- Network analysis of depressive symptoms in Chinese outpatients with somatic symptom disorder.Frontiers in psychiatry · 2025Article
- Network analysis of depression symptoms and physical activity levels before and after menopause.PloS one · 2025Article
- The interrelation between major depressive symptoms and ambivalence over emotional expression among college students: a network perspective on gender differences.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
7 authors at 15 institutions in 10 countries.
Funding
Abstract
In network theory depression is conceptualized as a complex network of individual symptoms that influence each other, and central symptoms in the network have the greatest impact on other symptoms. Clinical features of depression are largely determined by sociocultural context. No previous study examined the network structure of depressive symptoms in Hong Kong residents. The aim of this study was to characterize the depressive symptom network structure in a community adult sample in Hong Kong during the COVID-19 pandemic. A total of 11,072 participants were recruited between 24 March and 20 April 2020. Depressive symptoms were measured using the Patient Health Questionnaire-9. The network structure of depressive symptoms was characterized, and indices of "strength", "betweenness", and "closeness" were used to identify symptoms central to the network. Network stability was examined using a case-dropping bootstrap procedure. Guilt, Sad Mood, and Energy symptoms had the highest centrality values. In contrast, Concentration, Suicide, and Sleep had lower centrality values. There were no significant differences in network global strength (p = 0.259), distribution of edge weights (p = 0.73) and individual edge weights (all p values > 0.05 after Holm-Bonferroni corrections) between males and females. Guilt, Sad Mood, and Energy symptoms were central in the depressive symptom network. These central symptoms may be targets for focused treatments and future psychological and neurobiological research to gain novel insight into depression.
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.