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性别差异与骨质疏松症的社会经济因素相关:全国代表性数据的横断面分析。

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

机构信息

1 Department of Healthcare Management, Eulji University , Seongnam, Korea.

2 University Medical Centre Groningen, University of Groningen , Groningen, The Netherlands .

出版信息

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

DOI:10.1089/jwh.2016.6244
PMID:28832241
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.

摘要

背景

骨质疏松症以前被认为主要影响女性,但最近男性骨质疏松症也引起了关注。本研究旨在比较分析与男性和女性骨质疏松症患病率相关的社会经济和其他因素。

材料和方法

本研究使用了 2013 年进行的韩国社区健康调查的数据。为了确定与骨质疏松症患病率相关的因素,研究人员首先对所有研究参与者,然后分别对男性和女性参与者应用了二元逻辑回归模型。

结果

女性患骨质疏松症的可能性高于男性(优势比 12.33,95%置信区间 11.55-13.17)。与骨质疏松症患病率相关的因素包括年龄、教育水平、地区、经济活动、饮酒、盐摄入量、抑郁和性别。低教育和收入水平与女性骨质疏松症患病率的相关性高于男性。

结论

大多数因素没有性别特异性,但一些社会经济决定因素因性别而异。需要进一步研究社会经济因素对骨质疏松症的影响,以及预防和控制骨质疏松症方面的性别差异。

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