The positive association between number of children and obesity in Iranian women and men: results from the National Health Survey

BMC Public Health. 2008 Jun 15:8:213. doi: 10.1186/1471-2458-8-213.

Abstract

Background: To date, few studies have assessed the association between the number of children and obesity in couples. We aimed to investigate this association in men and women aged 20-75 years.

Methods: Data from the National Health Survey were considered in this investigation. It included 2728 women and men (1364 couples) aged 20-75 years. Height and weight were actually measured rather than self-reported. A generalized estimating equation model was used to estimate the odds of obesity (body mass index (BMI > or = 30)) as a function of the number of children adjusted for age, sex, education, economic index, workforce, smoking and place of residence.

Results: We infer that each additional child has at least 5% and at most 34% increase in the odds of obesity in men and at least 4% and at most 29% increase in the odds of obesity in women. Our test of interaction by sex showed that the association between the number of children and obesity was not different among men and women. Among women, factors that increased obesity included age, low education, having more children, being inactive workforce and being nonsmoker. Among men, these factors included high economic index, low education, having more children, and being nonsmoker.

Conclusion: Our results show an association between the number of children and obesity among men. We would recommend interventions to reduce the number of children to prevent obesity in men.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Age Factors
  • Aged
  • Body Mass Index
  • Cluster Analysis
  • Cross-Sectional Studies
  • Family Characteristics*
  • Female
  • Health Surveys
  • Humans
  • Iran / epidemiology
  • Life Style
  • Male
  • Middle Aged
  • Obesity / classification
  • Obesity / epidemiology*
  • Residence Characteristics / statistics & numerical data
  • Sex Factors
  • Smoking / epidemiology
  • Socioeconomic Factors