Kim Jungmee, Lee Joongyub, Shin Ju-Young, Park Byung-Joo
Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea.
Medical Research Collaborating Center, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea.
J Prev Med Public Health. 2015 Mar;48(2):84-93. doi: 10.3961/jpmph.14.047. Epub 2015 Mar 6.
The present study was conducted in order to examine the association between socioeconomic status (SES) and osteoporosis prevalence in Korea and to assess whether different associations are found in single-person households.
A cross-sectional population-based study was conducted using the Korea National Health and Nutrition Examination Survey, from 2008 to 2011. The study subjects were people aged ≥ 50 years with osteoporosis as defined by bone mineral density. Multivariate logistic models were used to estimate prevalence odds ratios (pORs) and 95% confidence intervals (CIs). Gender differences in the likelihood of osteoporosis were analyzed based on household income, education level, and residential area.
There were 8221 osteoporosis patients aged ≥ 50 years, of whom 927 lived in single-person households. There was a gender-specific association between osteoporosis prevalence and all three SES factors that we analyzed: income, education, and residential area. After adjusting for age, SES, and health behaviors, including body mass index (BMI), low household income was only significantly associated with osteoporosis in men, whereas education level had an inverse relationship with osteoporosis only in women (p = 0.01, p < 0.001, respectively). However, after controlling for age and BMI, rural residency was only associated with osteoporosis in women living in single-person households (pOR, 1.59; 95% CI, 1.05 to 2.43).
The Korean adult population showed a gender-specific relationship between SES and osteoporosis prevalence, with a different pattern found in single-person households.
开展本研究以检验韩国社会经济地位（SES）与骨质疏松症患病率之间的关联，并评估单人家庭中是否存在不同的关联。
利用2008年至2011年韩国国家健康与营养检查调查进行了一项基于人群的横断面研究。研究对象为年龄≥50岁且根据骨密度定义患有骨质疏松症的人群。使用多变量逻辑模型来估计患病率比值比（pORs）和95%置信区间（CIs）。基于家庭收入、教育水平和居住地区分析了骨质疏松症患病可能性的性别差异。
有8221名年龄≥50岁的骨质疏松症患者，其中927人居住在单人家庭。我们分析的所有三个SES因素（收入、教育和居住地区）与骨质疏松症患病率之间均存在性别特异性关联。在调整年龄、SES和健康行为（包括体重指数（BMI））后，低家庭收入仅与男性骨质疏松症显著相关，而教育水平仅与女性骨质疏松症呈负相关（分别为p = 0.01，p < 0.001）。然而，在控制年龄和BMI后，农村居住情况仅与居住在单人家庭的女性骨质疏松症相关（pOR，1.59；95% CI，1.05至2.43）。
韩国成年人群中SES与骨质疏松症患病率之间存在性别特异性关系，单人家庭中呈现出不同的模式。
