Evidence map›Paper›PMID 42223654›Full record

ArticleSocial psychiatry and psychiatric epidemiology2026

Social position and antidepressant dose trajectories: a latent class analysis of a french cohort linked to the reimbursement register.

Eugenia Alcalde, Emmanuel Wiernik, Laurent Rigal

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Article in Social psychiatry and psychiatric epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

3 authors.

Eugenia AlcaldeCentre de Recherche en Epidémiologie et Santé des Populations (CESP), Institut National de la Santé et de la Recherche Médicale (INSERM) U1018, Villejuif, France. eugenia.alcalde@inserm.fr.ORCID http://orcid.org/0009-0008-4295-7130
Emmanuel WiernikUniversité Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en- Yvelines, INSERM UMS 011 « Population-based Cohorts Unit », Paris, France.
Laurent RigalCentre de Recherche en Epidémiologie et Santé des Populations (CESP), Institut National de la Santé et de la Recherche Médicale (INSERM) U1018, Villejuif, France.

Funding

HORIZON EUROPE Framework Programme 856478
6 · The paper itself

Abstract

purposeAntidepressant (AD) doses may vary depending on symptom severity over time. Individuals in lower social positions experience more severe and recurrent depressive episodes, yet it remains unclear whether and how their AD dosage reflects this higher burden. This study aimed to identify AD dose trajectories in a population-based sample and examine their associations with social position indicators.

methodsWe used data from the French CONSTANCES cohort linked to the national drug reimbursement register. We included incident AD users who initiated a selective serotonin reuptake inhibitor or a selective norepinephrine reuptake inhibitor during their cohort inclusion year. We adopted a Latent Class Mixed Modeling framework to identify AD daily dose trajectories, adjusting for severity proxies. Multinomial regression models assessed the association between trajectory membership and baseline social position indicators.

resultsOverall, 4520 participants (63% women) were included. Four latent AD trajectories were identified: a "Constant" class including most participants (94%) characterized by stable dosing around 20 mg fluoxetine-equivalents; and three classes smaller classes showing varying patterns: a "High-decreasing" class (3.5%), a "High-sharp-decrease" class (1.32%), and "Low-slight-increase" (1.16%). In terms of social position, participants living in the most deprived areas were more likely to follow the 'High-decreasing' class than the 'Constant' one, while participants living alone were more likely to belong to the "High-sharp-decrease" class compared to the "Constant".

conclusionsAD dose trajectories showed little heterogeneity with most users following a stable dosing pattern and only small groups displaying fluctuating patterns. Social position influence may be more prominent in determining AD initiation than in shaping dose patterns over time.

Indexed as

Antidepressive AgentsSelective Serotonin Reuptake InhibitorsSocial ClassAdultAgedCohort StudiesDose-Response Relationship, DrugFemaleFranceHumansLatent Class AnalysisMaleMiddle AgedRegistriesAntidepressive AgentsSelective Serotonin Reuptake InhibitorsAntidepressantsLatent class trajectoriesLinkage studySocial position

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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.