Depression in diabetes and obesity: racial/ethnic/gender issues in older adults

J Psychosom Res. 2002 Oct;53(4):913-6. doi: 10.1016/s0022-3999(02)00314-8.

Abstract

Objectives: This study focuses on the comorbidity between depression and diabetes, as well as depression and obesity, in a biracial community sample of older adults.

Methods: The data are drawn from a cross-sectional survey of five counties in North Carolina, USA, part of a longitudinal study of morbidity and mortality among elders in the urban and rural south. During the first wave of the survey, 4162 persons 65+ years of age participated in an interview at their homes. During this interview, data were collected to assess demographics, functional status, cognitive status, depression and self-report of diabetes. In addition, subjects were asked to estimate their height and weight for the interviewers, from which data body mass index (BMI) was estimated.

Results: In both uncontrolled and controlled analyses, female gender, lower education, functional impairment and cognitive impairment were associated with comorbid depression/diabetes and depression/high BMI. Age was not associated with comorbid depression/diabetes but younger age was associated with depression/cognitive impairment. African American race was strongly associated with depression/diabetes but not with depression/high BMI.

Conclusions: More studies of comorbidity in the general population should be implemented to determine the relationship between these comorbid conditions and risk factors. Longitudinal studies are especially needed.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Age Factors
  • Aged
  • Aging
  • Body Mass Index
  • Comorbidity
  • Continental Population Groups*
  • Cross-Sectional Studies
  • Depressive Disorder / epidemiology*
  • Depressive Disorder / ethnology
  • Diabetes Mellitus / epidemiology*
  • Diabetes Mellitus / ethnology
  • Female
  • Humans
  • Male
  • North Carolina / epidemiology
  • Obesity / epidemiology*
  • Obesity / ethnology
  • Risk Factors
  • Sex Factors
  • United States