[Smoking, obesity and education of Icelandic women by rural-urban residence]

Laeknabladid. 2010 Apr;96(4):259-64. doi: 10.17992/lbl.2010.04.286.
[Article in Icelandic]

Abstract

Objective: To assess the prevalence of obesity and the association with smoking and education among young Icelandic women residing within and outside the capital area.

Materials and methods: A self-administered questionnaire was sent to 28.000 Icelandic women, 18-45 years-old, in the period November 2004 to June 2005. The sample was randomly selected from The National Registry, response rate being 54.6%. The study was part of a large Nordic population-based cross-sectional study. Logistic regression was used for assessing the odds ratio of obesity (BMI > or = 30) in a multivariate analysis according to smoking and education, taking also into account age and alcohol consumption. The chi-square test was used for comparing percentages.

Results: Thirteen percent of women residing in the capital area were obese compared with 21% outside the capital. In the multivariate analysis obesity was increased among women living outside the capital (OR = 1.66; 95% CI 1,50-1,83), among smokers (OR=1,13; 95% CI 1.01-1.28), and among women who did not have university education (OR=1.53; 95%CI 1.36-1.71). Daily smokers within the capital area were more likely to be obese (OR=1.27; 95%CI 1.07-1.49) but not smokers outside the capital (OR=1.0). .

Conclusions: Residence outside the capital area, daily smoking and non-university education are associated with an increased risk of obesity among young Icelandic women. The relationship between these factors is complex and differs between women residing within and outside the capital area.

Publication types

  • English Abstract

MeSH terms

  • Adolescent
  • Adult
  • Chi-Square Distribution
  • Cross-Sectional Studies
  • Educational Status*
  • Female
  • Health Surveys
  • Humans
  • Iceland / epidemiology
  • Logistic Models
  • Middle Aged
  • Obesity / epidemiology*
  • Obesity / etiology
  • Odds Ratio
  • Prevalence
  • Residence Characteristics*
  • Risk Assessment
  • Risk Factors
  • Rural Population*
  • Smoking / adverse effects
  • Smoking / epidemiology*
  • Surveys and Questionnaires
  • Urban Population*
  • Women's Health*
  • Young Adult