Two waves of data from a community-based study (Alameda County Study, 1994-
1995) were used to investigate the association between obesity and depressi
on. Depression was measured with 12 items covering Diagnostic and Statistic
al Manual of Mental Disorders: DSM-IV diagnostic criteria for major depress
ive episode. Following US Public Health Service criteria, obese subjects we
re defined as those with body mass index scores at the 85th percentile or h
igher. Covariates were age, sex, education, marital status, social isolatio
n and social support, chronic medical conditions, functional impairment, li
fe events, and financial strain. Results were mixed. In cross-sectional ana
lyses, greater odds for depression in 1994 were observed for the obese, wit
h and without adjustment for covariates. When obesity and depression were e
xamined prospectively, controlling for other variables, obesity in 1994 pre
dicted depression in 1995 (odds ratio (OR) = 1.73, 95% confidence interval
(CI): 1.04, 2.87). When the data were analyzed with obesity defined as a bo
dy mass index of greater than or equal to 30, cross-sectional results were
the same. However, the prospective multivariate analyses were not significa
nt (OR = 1.43, 95% CI: 0.85, 2.43). Although these data do not resolve the
role of obesity as a risk factor for depression, overall the results sugges
t an association between obesity and depression. The authors found no suppo
rt for the "jolly fat" hypothesis (obesity reduces risk of depression). How
ever, there has been sufficient disparity of results thus far to justify co
ntinued research.