Do health‐related factors predict major depression? A longitudinal epidemiologic study. (8th January 2018)

• Record Type: Journal Article
• Authors: Zhang, Xiao Chi; Woud, Marcella L.; Becker, Eni S.; Margraf, Jürgen
• Is Part Of: Clinical psychology & psychotherapy. Volume 25:Number 3(2018)
• Page Start: 378
• Page End: 387
• Publication Date: 2018-01-08
• Subjects: major depressive disorder (MDD) -- overweight -- physical activity -- protective factors -- risk factors -- smoking; Clinical psychology -- Periodicals; Psychotherapy -- Periodicals; 616.89
• DOI: 10.1002/cpp.2171
• Languages: English
• ISSNs: 1063-3995

Abstract

Abstract : Major depressive disorder (MDD) is a leading cause of global disease burden. Hence, examining the role of risk and protective factors for MDD is an important target in psychological research. Various studies showed that obesity, smoking, and alcohol consumption are related to depressive symptoms. In contrast, physical activity has been found to be a protective factor. The present population‐based study tested whether these health‐related factors are prospectively associated with incidence of MDD. Data were taken from the Dresden Predictor Study, which was designed to investigate risk and protective factors of mental health in young women. It included two assessments approximately 17 months apart. Results of single logistic regression analyses showed that being overweight, being a smoker, and being in a high‐risk drinking group at baseline were predictive of developing MDD at follow‐up. Engaging in regular physical activity and having good physical health were found to be protective factors of MDD. However, being in a medium‐risk drinking group was not predictive of incidence of MDD, and irregular physical activity was not a protective factor. This is the first prospective, longitudinal study to show that obesity, smoking, and high‐risk drinking are predictive of new onsets of MDD and that physical health is a protective factor. These data provide promising avenues for future research.