Abstract
Background: There is strong evidence for a bidirectional association between depression and obesity. Several biological, psychological, and behavior-related factors may influence this complex association. Clinical impression and preliminary evidence suggest that patients with a diagnosis of major depressive disorder may endorse very different depressive symptom patterns depending on their body weight status. Until now, little is known about potential differences in depressive symptoms in relation to body weight status. Objective: The aim of this analysis is the investigation of potential differences in depressive symptom clusters (mood symptoms, somatic/vegetative symptoms, and cognitive symptoms) in relation to body weight status. Methods: Cross-sectional baseline data were derived from two large European multicenter studies: the MooDFOOD Trial and the NESDA cohort study, including persons with overweight and obesity and normal weight reporting subthreshold depressive symptoms (assessment via Inventory of Depressive Symptomatology Self-Report, IDS-SR30). Different measures for body weight status [waist-to-hip ratio (WHR) and body mass index (BMI)] were examined. Propensity score matching was performed and multiple linear regression analyses were conducted. Results: A total of n = 504 individuals (73.0% women) were analyzed. Results show that more somatic/vegetative depressive symptoms, such as pain, change in appetite and weight, gastrointestinal symptoms, and arousal-related symptoms, were significantly associated with both a higher BMI and higher WHR, respectively. In addition, being male and older age were significantly associated with higher WHR. Mood and cognitive depressive symptoms did not yield significant associations for both body weight status measures. Conclusions: Somatic/vegetative symptoms and not mood and cognitive symptoms of depression are associated with body weight status. Thus, the results support previous findings of heterogeneous depressive symptoms in relation to body weight status. In addition to BMI, other body weight status measures for obesity should be taken into account in future studies. Clinical Trial Registration: www.ClinicalTrials.gov, identifier NCT02529423.
| Original language | English |
|---|---|
| Article number | 858 |
| Pages (from-to) | 858 |
| Journal | Frontiers in Psychiatry |
| Volume | 10 |
| DOIs | |
| Publication status | Published - 2019 |
Bibliographical note
Copyright © 2019 Baldofski, Mauche, Dogan-Sander, Bot, Brouwer, Paans, Cabout, Gili, van Grootheest, Hegerl, Owens, Roca, Visser, Watkins, Penninx and Kohls.Funding
We would like to thank the NESDA Study team for their support and the possibility to use the NESDA sample for this analysis based on prior analysis plan approval (reference number: DAP17-54). The infrastructure for the NESDA Study (www.nesda.nl) is funded through the Geestkracht program of the Netherlands Organisation for Health Research and Development (ZonMw, grant number 10-000-1002) and financial contributions by participating universities and mental health care organizations (VU University Medical Center, GGZ inGeest, Leiden University Medical Center, Leiden University, GGZ Rivierduinen, University Medical Center Groningen, University of Groningen, Lentis, GGZ Friesland, GGZ Drenthe, Rob Giel Onderzoekscentrum). We would also like to thank Dr. Philippe Jawinski for his support with the propensity score matching and Dr. Roland Mergl for his support with preparation of the analysis. The authors acknowledge support from the German Research Foundation (DFG) and Universität Leipzig within the program of Open Access Publishing. We would like to thank the NESDA Study team for their support and the possibility to use the NESDA sample for this analysis based on prior analysis plan approval (reference number: DAP17-54). The infrastructure for the NESDA Study (www.nesda.nl) is funded through the Geestkracht program of the Netherlands Organisation for Health Research and Development (ZonMw, grant number 10-000-1002) and financial contributions by participating universities and mental health care organizations (VU University Medical Center, GGZ inGeest, Leiden University Medical Center, Leiden University, GGZ Rivierduinen, University Medical Center Groningen, University of Groningen, Lentis, GGZ Friesland, GGZ Drenthe, Rob Giel Onderzoekscentrum). We would also like to thank Dr. Philippe Jawinski for his support with the propensity score matching and Dr. Roland Mergl for his support with preparation of the analysis. The authors acknowledge support from the German Research Foundation (DFG) and Universit?t Leipzig within the program of Open Access Publishing. Conflict of Interest: MR reported receiving grants from the European Union and research funding from Janssen and Lundbeck outside the submitted work. BP reported receiving grants from Janssen Research and Boehringer Ingelheim outside the submitted work. UH reported receiving personal fees from Lundbeck, Janssen Pharmaceutica, Servier, Bayer Pharma, and Medice outside the submitted work. Funding for this article is provided by the European Union FP7 MooDFOOD Project “Multi-country cOllaborative project on the rOle of Diet, FOodrelated behaviour, and Obesity in the prevention of Depression” (grant agreement no. 613598). This work is supported in the UK by the National Institute for Health Research (NIHR), through the Primary Care Research Network and the NIHR Exeter Clinical Research Facility.
| Funders | Funder number |
|---|---|
| NIHR Exeter Clinical Research Facility | |
| Universit?t Leipzig | |
| Seventh Framework Programme | 613598 |
| National Institute for Health Research | |
| European Commission | |
| Deutsche Forschungsgemeinschaft | |
| Universiteit Leiden | |
| Rijksuniversiteit Groningen | |
| ZonMw | 10-000-1002 |
| Seventh Framework Programme | |
| Leids Universitair Medisch Centrum | |
| Universität Leipzig |
