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Inflammation predicts new onset of depression in men, but not in women within a prospective, representative community cohort

Authors :
Jörg Wiltink
Philipp S. Wild
Norbert Pfeiffer
Thomas Münzel
Karl J. Lackner
Ana N. Tibubos
Matthias Michal
Jochem König
Elmar Brähler
Felix Wicke
Mareike Ernst
Andreas Borta
Markus Nagler
Manfred E. Beutel
Iris Reiner
Antonia M. Werner
Daniëlle Otten
Source :
Scientific Reports, Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Publication Year :
2021
Publisher :
Nature Publishing Group UK, 2021.

Abstract

Depression has been associated with increased inflammation. However, only few large-scale, prospective studies have evaluated whether inflammation leads to new cases of depression and whether this association can be found in men and women. Longitudinal data of N = 10,357 adult participants with no evidence of depression at baseline (based on Patient Health Questionnaire (PHQ-9), lifetime diagnoses, and current antidepressant medication) were evaluated for depression 5 years later. Multivariate logistic regression models were used to predict the onset of depression based on C-reactive protein (CRP) and white blood cell count (WBC). We used interaction terms and separate analyses in men and women to investigate gender-dependent associations. Based on both markers, inflammation was predictive of new cases of depression 5 years later, even when adjusting for sociodemographic, physical health, health behavior variables, and baseline depression symptoms. As established by interaction terms and separate analyses, inflammatory markers were predictive of depression in men, but not in women. Additional predictors of new onset of depression were younger age, loneliness, smoking (only in men), cancer and less alcohol consumption (only in women). The study indicates gender differences in the etiology of depressive disorders within the community, with a greater role of physical factors in men.

Details

Language :
English
ISSN :
20452322
Volume :
11
Database :
OpenAIRE
Journal :
Scientific Reports
Accession number :
edsair.doi.dedup.....cefe9b0da8841852892bd96ed78a636c