ArticleMolecular psychiatry2020
The symptom network structure of depressive symptoms in late-life: Results from a European population study.
Article in Molecular psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
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Who cites it
48 citing papers in PubMed.
- From dysphoria to anhedonia: age-related shift in the link between cognitive and affective symptoms.The journals of gerontology. Series B, Psychological sciences and social sciences · 2026Article
- Decolonizing mental health: how native languages reshape depression network architecture in 31,276 Peruvians.Scientific reports · 2025Article
- Symptom Network Analysis Tools for Applied Researchers With Cross-Sectional and Panel Data - A Brief Overview and Multiverse Analysis.Psychological reports · 2025Review
- The prevalence of internet addiction and its association with quality of life among inflight security officers based on a national survey: a network analysis perspective.European archives of psychiatry and clinical neuroscience · 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
- The symptom network of oral health conditions in older populations with oral frailty: a cross-sectional study.BMC oral health · 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
- Examining the effects of school-vacation transitions on depression and anxiety in adolescents: network analysis.BJPsych open · 2025Article
- The association of quality of life and fear of progression in patients with pulmonary hypertension: a cross-sectional network analysis.BMC psychology · 2024Article
- Impact of depressive symptoms on medication adherence in older adults with chronic neurological diseases.BMC psychiatry · 2024Article
- Manic Residual Symptoms Also Deserve Attention: A Symptom Network Analysis of Residual Symptoms in Bipolar Disorder.Neuropsychiatric disease and treatment · 2024Article
- Social activities and depressive symptoms among migrant middle-aged and older adults in China: a network analysis.Frontiers in psychology · 2024Article
- Association of four metalloids in the serum and urine of individuals with major depressive disorders: a case-control study.Frontiers in psychiatry · 2024Article
- The development of depressive symptoms in older adults from a network perspective in the English Longitudinal Study of Ageing.Translational psychiatry · 2023Article
- Maintenance in relationships, satisfaction, jealousy, and violence in young couples: a network analysis.BMC psychology · 2023Article
- Psychopathological network for early-onset post-stroke depression symptoms.BMC psychiatry · 2023Article
- Late-life depression and multimorbidity trajectories: the role of symptom complexity and severity.Age and ageing · 2023Article
- Prevalence, correlates, and network analysis of depression and its associated quality of life among ophthalmology nurses during the COVID-19 pandemic.Frontiers in psychology · 2023Article
- Network analysis of somatic symptoms in Chinese patients with depressive disorder.Frontiers in public health · 2023Article
- Late-life depression: Epidemiology, phenotype, pathogenesis and treatment before and during the COVID-19 pandemic.Frontiers in psychiatry · 2023Review
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The network theory conceptualizes mental disorders as complex networks of symptoms influencing each other by creating feedback loops, leading to a self-sustained syndromic constellation. Symptoms central to the network have the greatest impact in sustaining the rest of symptoms. This analysis focused on the network structure of depressive symptoms in late-life because of their distinct etiologic factors, clinical presentation, and outcomes. We analyzed cross-sectional data from wave 2 of the 19 country Survey of Health, Ageing, and Retirement in Europe (SHARE) and included non-institutionalized adults aged 65 years or older (mean age 74 years, 59% females) endorsing at least one depressive symptom on the EURO-D scale for depression (N =8,557). We characterized the network structure of depressive symptoms in late-life and used indices of "strength", "betweenness", and "closeness" to identify symptoms central to the network. We used a case-dropping bootstrap procedure to assess network stability. Death wishes, depressed mood, loss of interest, and pessimism had the highest values of centrality. Insomnia, fatigue and appetite changes had lower centrality values. The identified network remained stable after dropping 74.5% of the sample. Sex or age did not significantly influence the network structure. In conclusion, death wishes, depressed mood, loss of interest, and pessimism constitute the "backbone" that sustains depressive symptoms in late-life. Symptoms central to the network of depressive symptoms may be used as targets for novel, focused interventions and in studies investigating neurobiological processes central to late-life depression.
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