2020 年第 4 期 第 15 卷

呼和浩特地区40～65岁中老年女性骨质疏松症的流行现状及相关因素分析

Prevalence and influence factors of osteoporosis in women aged 40-65 years in Hohhot

作者：王剑鲁敏孙官文张宇岑利民李想

英文作者：Wang Jian Lu Min Sun Guanwen Zhang Yu Cen Limin Li Xiang

单位：内蒙古自治区人民医院骨创伤科，呼和浩特010017

英文单位：Department of Bone Trauma Inner Mongolia People′s Hospital Hohhot 010017 China

关键词：骨质疏松症；中老年女性；流行现状；相关因素

英文关键词：Osteoporosis;Middleagedandelderlywomen;Epidemiologicalstatus;Relatedfactors

• 摘要：

• 【摘要】目的    调查呼和浩特地区40～65岁中老年女性骨质疏松症的流行现状并分析其相关因素。方法    选取2016年1月至2018年12月呼和浩特地区来内蒙古自治区人民医院体检的40～65岁中老年女性1 026名。进行研究对象一般情况的问卷调查并测定骨密度水平，比较不同组间骨质疏松的发生率。结果    1 026名研究对象平均骨密度为（1.02±0.21）g/cm2，骨质疏松发生率为 26.6%（273/1 026）。不同年龄、体重指数、绝经情况、生育次数、职业分组女性的骨质疏松发生率比较，差异均有统计学意义（均P<0.05）。年龄偏大、肥胖、绝经、生育次数多、脑力劳动的中老年女性，骨质疏松发生率较高，其中61～65岁者为39.6%（63/159），肥胖者50.0%（21/42）。不同月经初潮年龄、母乳喂养及运动习惯分组的中老年女性骨质疏松发生率比较，差异均无统计学意义（均P>0.05）。结论    年龄、体重指数、绝经年龄、生育次数、职业性质等与骨质疏松患病率密切相关，应加强重点人群健康教育，做到骨质疏松早期筛查、早期诊断、早期治疗。    

• 【Abstract】Objective    To investigate the prevalence of osteoporosis in 40-65 years old women in Hohhot and to analyze the influence factors. Methods    A total of 1 026 women aged 40-65 years who had physical examination from January 2016 to December 2018 in Inner Mongolia People′s Hospital were enrolled. General clinical data was collected through questionnaire survey. Bone density was measured and the incidence of osteoporosis was analyzed. Results    The mean bone mineral density of 1 026 women was (1.02±0.21)g/cm2 and the incidence of osteoporosis was 26.6%(273/1 026). There were significant differences in the incidence of osteoporosis among groups with different age, body mass index, menstruation, childbearing history and occupation(all P<0.05). Women with advanced age, obesity, menstruation and fertilize had higher prevalence of osteoporosis. The incidence of osteoporosis was 39.6%（63/159） in women aged 61-65 years and 50.0%（21/42） in obese women. There was no significant relation of osteoporosis with menarche age, breast feeding and physical exercise(all P>0.05). Conclusion    Age, body mass index, menopausal age, childbearing history and occupation are closely associated with osteoporosis.