Skip to main navigation Skip to search Skip to main content

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

  • Eulji University
  • University of Groningen

Research output: Contribution to journal › Article › peer-review

26 Scopus citations

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.

Original languageEnglish
Pages (from-to)196-202
Number of pages7
JournalJournal of Women's Health
Volume27
Issue number2
DOIs
StatePublished - Feb 2018

Bibliographical note

Publisher Copyright:
© 2018, Mary Ann Liebert, Inc.

Keywords

  • Osteoporosis
  • gender difference and similarity
  • socioeconomic status

Fingerprint

Dive into the research topics of 'Gender Differences and Socioeconomic Factors Related to Osteoporosis: A Cross-Sectional Analysis of Nationally Representative Data'. Together they form a unique fingerprint.

Cite this