Relationship between body mass index and depression in women: A 7-year prospective cohort study. The APNA study.

Eur Psychiatry

Department of Health Science, Public University of Navarra, Avenida Barañain s/n, 31008 Pamplona, Spain; Servicio Navarro de Salud, Spain; IdiSNA (Navarra Institute for Health Research), Spain.

Published: February 2016

Background: The association between body mass index (BMI) and depression is complex and controversial. The present study examined the relationship between BMI and new-onset depression during 7 years of follow-up in 20,212 adult women attending Primary Health Care Centres in Navarra, Spain.

Methods: The Atención Primaria de Navarra (APNA) study is a dynamic prospective cohort study. A total of 20,212 women aged 18-99 years (mean age: 50.7 ± 18.5 years) without depression at baseline were selected from 2004 to 2011. We estimated the incidence of depression. We used the Kaplan-Meier analysis to predict the survival curve. The risk of depression onset according to different measures of BMI at baseline was assessed using Cox regression analyses.

Results: During the 7 years of follow-up, depression appeared in 8.9% (95% CI 8.5-9.3). The highest rates of depression incidence at follow-up occurred in underweight and obese women (9.8% [95% CI 7.3-12.9] and 10.3% [95% CI 9.5-11.1] respectively). The distribution of depression incidence by weight category was U-shaped. The risk of depression increased over time with an observed Kaplan-Meier estimation of 6.67. After adjusting for age, underweight and obese women at baseline have increased risk of depression onset during the follow-up period compared with normal weight women (HR=1.48, 95% CI=1.09-2.00 and HR=1.14, 95% CI=1.01-1.29 respectively).

Conclusions: In this 7-year prospective study in the APNA women population, depression emerged in 8.9%. Being underweight or obese (not overweight) at baseline is significantly associated with future onset of depression.

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Source
http://dx.doi.org/10.1016/j.eurpsy.2015.11.003DOI Listing

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