Gender Differences and Socioeconomic Factors Related to Osteoporosis: A Cross-Sectional Analysis of Nationally Representative Data

J Womens Health (Larchmt). 2018 Feb;27(2):196-202. doi: 10.1089/jwh.2016.6244. Epub 2017 Aug 23.

Abstract

Background: Osteoporosis has been considered a disease that primarily affects women, but recently male osteoporosis is also attracting attention. This study aims to comparatively analyze socioeconomic and other factors that are related to the prevalence of osteoporosis in both men and women.

Materials and methods: This study used data from the Korean Community Health Survey conducted in 2013. To determine factors related to osteoporosis prevalence, researchers applied a binary logistic regression model, first for all research participants, then separately for male and female participants.

Results: Women were more likely than men to have osteoporosis (odds ratio 12.33, 95% confidence interval 11.55-13.17). Factors related to osteoporosis prevalence included age, education level, region, economic activity, alcohol consumption, salt intake, depression, and body mass index in both genders. Low education and income levels were more highly associated with osteoporosis prevalence in women than in men.

Conclusions: Most of the factors were not gender specific, but some socioeconomic determinants varied by gender. Future studies that will focus on the effects of socioeconomic factors on osteoporosis, as well as gender-related differences in prevention and control of osteoporosis, are needed.

Keywords: gender difference and similarity; osteoporosis; socioeconomic status.

Publication types

  • Comparative Study

MeSH terms

  • Aged
  • Aged, 80 and over
  • Asian People
  • Body Mass Index
  • Bone Density
  • Cross-Sectional Studies
  • Female
  • Health Surveys
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Nutrition Surveys
  • Osteoporosis / epidemiology*
  • Prevalence
  • Republic of Korea / epidemiology
  • Risk Factors
  • Sex Factors*
  • Social Class*
  • Socioeconomic Factors*