The symptom network structure of depressive symptoms in late-life: Results from a European population study.

Molecular Psychiatry
Martino Belvederi MurriGeorge S Alexopoulos

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 sa...Continue Reading

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Citations

Jun 9, 2020·Frontiers in Psychiatry·Luis Agüera-OrtizManuel Sánchez-Pérez
Dec 5, 2020·International Journal of Environmental Research and Public Health·Miguel Ángel CastellanosManuel Muñoz
Dec 3, 2020·Brain Sciences·Dora BrooksLinda Douw
Sep 8, 2021·Translational Psychiatry·Teris CheungUNKNOWN International Research Collaboration on COVID-19
Oct 14, 2021·Molecular Psychiatry·Martino Belvederi MurriGeorge S Alexopoulos

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Software Mentioned

eLASSO
EURO
SHARE

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