Depressive symptomatology from a network perspective: Differences in the experience of symptoms involved in the self-recognition of depression and the diagnosis process by social position.

BACKGROUND: While social disparities in depression are well-documented, the symptom experience across social positions remains less studied. AIMS: This study examines the connections between depressive symptoms and self-recognizing a depressive episode, on the one hand, and clinical diagnosis, on the other hand, by three social position indicators. METHODS: We analyzed baseline data from a population-based cohort of adults living in France, grouping participants by three indicators: education, financial difficulties, and occupation, and stratifying by sex. Utilizing a psychometric network approach, we estimated 24 networks. Nodes corresponded to the 20 CES-D items and 1 external variable, either 'Limitations due to depression' or 'Clinical depression'. Comparisons between socially disadvantaged and advantaged groups across the three social indicators were made in terms of network structures, global strength, and edge weights involving symptoms and both external nodes. RESULTS: The study included data from 201,952 participants. Individuals in lower social positions exhibited higher rates of depressive-related variables. Four depressive symptoms emerged as crucial, being linked both to 'Clinical depression' and 'Limitations' across all social positions. Socially disadvantaged groups had denser networks. Some of the tests comparing network structures according to social position were significant, suggesting differences in the symptom activation chains. Connections between each external node and 'Felt depressed' and 'Could not get going' were non-invariant in educational and financial-based networks. CONCLUSIONS: Findings highlight four depressive symptoms, likely to play a key role in the experience of depression across all social positions. Other insights from specific symptoms could be used for improving depression care among disadvantaged populations.

How do men and women differ in their depressive symptomatology? A gendered network analysis of depressive symptoms in a French population-based cohort.

BACKGROUND: The experience of depressive manifestations and the presentation of symptoms in clinical settings may differ in men and women. Despite the extensive literature, it remains unclear how depressive manifestations interact at symptom levels in men and women. First, we aimed to describe and compare depressive networks by sex. Second, we examined symptom connections to Clinical depression and Functional Limitations as a proxy of self-recognition of a depressive episode. METHODS: We estimated networks from the 20 CES-D items in men and women from a large population-based French cohort. We computed centrality measures and ran comparisons. Then, we re-estimated two networks in men and women separately, adding, on the one hand, Clinical Depression and, on the other hand, Limitations due to a depressive episode. RESULTS: Over 200,000 participants were included in this study. Women were twice as likely to have a previous diagnosis of depression. Sex-ratio was less pronounced (1,7:1) for Limitations due to depression. Centrality measures revealed similar symptom patterns. However, network structures differed between men and women. We found some symptom connections to Clinical depression and Limitations to be non-invariant according to sex. LIMITATIONS: Cross-sectional data does not capture the direction of the connections between symptoms and an eventual diagnosis. We lacked data about the diagnosis's context and could not account for other factors influencing depressive symptomatology. CONCLUSIONS: Network structures differed, suggesting gender-specific mechanisms in activating symptoms and depressive states. Addressing central symptoms evoking depressed moods with tailored interventions may serve to tackle depressive states in men and women.