Does the association between depression and smoking vary by body mass index (BMI) category?

Prev Med. 2009 Nov;49(5):380-3. doi: 10.1016/j.ypmed.2009.07.018. Epub 2009 Jul 30.

Abstract

Objective: The purpose of this study was to explore how weight might influence the relationship between depression and smoking.

Methods: Data were obtained from a cross-sectional survey representative of women age 40-65 enrolled in Group Health Cooperative, a health plan serving members in Washington and northern Idaho (n=4640). We examined the relationships between depression and smoking in normal weight, overweight, and obese women using weighted multiple logistic regression with both minimal and full adjustment.

Results: Current depression was significantly associated with current smoking in obese women (adjusted odds ratio=2.48, 95% confidence interval=1.26-4.88) but not in underweight/normal or overweight women. Among ever smokers, obese women, but not other groups, were significantly less likely to have quit smoking in the past.

Conclusions: In our preliminary study, the association between smoking and depression in middle-aged women appears to be limited to the obese subset and may stem from a lesser likelihood of obese ever smokers to have quit. This population represents an important target for preventive medicine efforts.

Publication types

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

MeSH terms

  • Adult
  • Age Distribution
  • Aged
  • Body Mass Index*
  • Comorbidity
  • Confidence Intervals
  • Cross-Sectional Studies
  • Depressive Disorder / diagnosis
  • Depressive Disorder / epidemiology*
  • Female
  • Follow-Up Studies
  • Humans
  • Logistic Models
  • Middle Aged
  • Multivariate Analysis
  • Obesity / diagnosis
  • Obesity / epidemiology*
  • Odds Ratio
  • Overweight / epidemiology
  • Prevalence
  • Probability
  • Risk Assessment
  • Severity of Illness Index
  • Smoking / epidemiology*