ArticleSocial psychiatry and psychiatric epidemiology2020
Network structure of depression symptomology in participants with and without depressive disorder: the population-based Health 2000-2011 study.
Article in Social psychiatry and psychiatric epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Network dynamics of depressive symptoms in antidepressant medication treatment: secondary analysis of eight clinical trials.Molecular psychiatry · 2021Trial
- Relations among daily symptoms of depression.British journal of psychology (London, England : 1953) · 2026Article
- Correcting for selection bias after conditioning on a sum score in the Ising model.Behavior research methods · 2025Article
- The psychometric network of individual flourishing across nationally representative samples from 22 countries.Scientific reports · 2025Article
- Clustering and drivers of symptoms observed at week six after antidepressant treatment in depressed outpatients.European psychiatry : the journal of the Association of European Psychiatrists · 2025Article
- Relations among symptoms of depression over time in at-risk youth.Journal of psychopathology and clinical science · 2023Article
- [Effect of electroconvulsive therapy on brain functional network in major depressive disorder].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023Article
- Network and Exploratory Factorial Analysis of the Depression Clinical Evaluation Test.International journal of environmental research and public health · 2022Article
- Using language in social media posts to study the network dynamics of depression longitudinally.Nature communications · 2022Article
- Comparison of depression and anxiety symptom networks in reporters and non-reporters of lifetime trauma in two samples of differing severity.Journal of affective disorders reports · 2021Article
- The network of stress-related states and depression and anxiety symptoms during the COVID-19 lockdown.Journal of affective disorders · 2021Article
- A Narrative Review of Network Studies in Depression: What Different Methodological Approaches Tell Us About Depression.Frontiers in psychiatry · 2021Review
- The Association of Posttraumatic Stress Disorder, Complex Posttraumatic Stress Disorder and Depression: A Network Approach.Clinical psychology & psychotherapyArticle
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Authors and funding
6 authors.
Funding
Abstract
purposePutative causal relations among depressive symptoms in forms of network structures have been of recent interest, with prior studies suggesting that high connectivity of the symptom network may drive the disease process. We examined in detail the network structure of depressive symptoms among participants with and without depressive disorders (DD; consisting of major depressive disorder (MDD) and dysthymia) at two time points.
methodsParticipants were from the nationally representative Health 2000 and Health 2011 surveys. In 2000 and 2011, there were 5998 healthy participants (DD-) and 595 participants with DD diagnosis (DD+). Depressive symptoms were measured using the 13-item version of the Beck Depression Inventory (BDI). Fused Graphical Lasso was used to estimate network structures, and mixed graphical models were used to assess network connectivity and symptom centrality. Network community structure was examined using the walktrap-algorithm and minimum spanning trees (MST). Symptom centrality was evaluated with expected influence and participation coefficients.
resultsOverall connectivity did not differ between networks from participants with and without DD, but more simple community structure was observed among those with DD compared to those without DD. Exploratory analyses revealed small differences between the samples in the order of one centrality estimate participation coefficient.
conclusionsCommunity structure, but not overall connectivity of the symptom network, may be different for people with DD compared to people without DD. This difference may be of importance when estimating the overall connectivity differences between groups with and without mental disorders.
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