Xiaoling Xiang1, Ruopeng An2. 1. School of Social Work, University of Illinois at Urbana-Champaign, 1010W. Nevada, Urbana, IL 61801, USA. Electronic address: xxiang3@illinois.edu. 2. Department of Kinesiology and Community Health, College of Applied Health Sciences, University of Illinois at Urbana-Champaign, 2013 Huff Hall, 1206S 4th St, Champaign, IL 61820, USA. Electronic address: ran5@illinois.edu.
Abstract
OBJECTIVES: This paper aims to examine the relationship between obesity and onset of depression among U.S. middle-aged and older adults. METHODS: Data came from 1994 to 2010 waves of the Health and Retirement Study. Study sample consisted of 6514 community-dwelling adults born between 1931 and 1941 who were free of clinically relevant depressive symptoms in 1994. Body mass index (BMI) was calculated from self-reported height/weight. Body weight status was classified into normal weight (18.5kg/m(2)≤BMI<25kg/m(2)), overweight (25kg/m(2)≤BMI<30kg/m(2)), and obesity (BMI≥30kg/m(2)). A score of ≥3 on the 8-item Center for Epidemiologic Studies Depression Scale was used to define clinically relevant depressive symptoms. Kaplan-Meier estimator and time-dependent Cox proportional hazards model were performed to examine the association between body weight status and onset of clinically relevant depressive symptoms. RESULTS: Unhealthy body weight was associated future onset of depression. Compared with their normal weight counterparts, overweight and obese participants were 13% (hazard ratio [HR]=1.13, 95% confidence interval [CI]=1.04-1.23) and 9% (HR=1.09, 95% CI=1.01-1.18) more likely to have onset of clinically relevant depressive symptoms during the 16years of follow-up, respectively. The relationship between obesity and depression onset appeared stronger among females and non-Hispanic whites than their male and racial/ethnic minority counterparts. CONCLUSIONS: Health care providers should be aware of the potential risk for depression among obese older adults.
OBJECTIVES: This paper aims to examine the relationship between obesity and onset of depression among U.S. middle-aged and older adults. METHODS: Data came from 1994 to 2010 waves of the Health and Retirement Study. Study sample consisted of 6514 community-dwelling adults born between 1931 and 1941 who were free of clinically relevant depressive symptoms in 1994. Body mass index (BMI) was calculated from self-reported height/weight. Body weight status was classified into normal weight (18.5kg/m(2)≤BMI<25kg/m(2)), overweight (25kg/m(2)≤BMI<30kg/m(2)), and obesity (BMI≥30kg/m(2)). A score of ≥3 on the 8-item Center for Epidemiologic Studies Depression Scale was used to define clinically relevant depressive symptoms. Kaplan-Meier estimator and time-dependent Cox proportional hazards model were performed to examine the association between body weight status and onset of clinically relevant depressive symptoms. RESULTS: Unhealthy body weight was associated future onset of depression. Compared with their normal weight counterparts, overweight and obeseparticipants were 13% (hazard ratio [HR]=1.13, 95% confidence interval [CI]=1.04-1.23) and 9% (HR=1.09, 95% CI=1.01-1.18) more likely to have onset of clinically relevant depressive symptoms during the 16years of follow-up, respectively. The relationship between obesity and depression onset appeared stronger among females and non-Hispanic whites than their male and racial/ethnic minority counterparts. CONCLUSIONS: Health care providers should be aware of the potential risk for depression among obese older adults.
Authors: John S Mulvahill; Ginger E Nicol; David Dixon; Eric J Lenze; Jordan F Karp; Charles F Reynolds; Daniel M Blumberger; Benoit H Mulsant Journal: J Am Geriatr Soc Date: 2017-12 Impact factor: 5.562
Authors: J Fernandes de Souza Barbosa; C Dos Santos Gomes; J Vilton Costa; T Ahmed; M V Zunzunegui; C-L Curcio; F Gomez; R Oliveira Guerra Journal: J Nutr Health Aging Date: 2018 Impact factor: 4.075
Authors: David T Liss; Emily A Finch; Dyanna L Gregory; Andrew Cooper; Ronald T Ackermann Journal: Contemp Clin Trials Date: 2015-12-02 Impact factor: 2.226