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

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

Abstract

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.

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
20452322 and 44293704
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Scientific Reports
Publication Type :
Academic Journal
Accession number :
edsdoj.961a442937041229ac6dd220b06e361
Document Type :
article
Full Text :
https://doi.org/10.1038/s41598-021-81927-9