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上海市某社区老年人群骨质疏松现况及相关因素分析
引用本文:石益斌, 郑松柏, 沈利岩, 郑洁皎, 潘毓健, 管金发, 周嘉平, 梁贞文, 丁建伟, 夏春. 上海市某社区老年人群骨质疏松现况及相关因素分析[J]. 上海预防医学, 2016, 28(1): 24-29.
作者姓名:石益斌  郑松柏  沈利岩  郑洁皎  潘毓健  管金发  周嘉平  梁贞文  丁建伟  夏春
作者单位:1.1. 上海市嘉定区迎园医院, 上海 201822
摘    要:
目的 了解上海市某社区65岁以上老年人群骨质疏松症患病情况及相关因素。方法 调查594名体检老年人基本资料、日常行为习惯等,并进行超声跟骨骨密度测定、下肢肌力评定,进行描述性分析。随机抽取297名老年人利用logistic回归分析骨质疏松症的相关因素,并检验方程预测准确度。结果 该社区65岁及以上居民骨质疏松症患病率为60.6%。多因素分析显示,性别、年龄、体质指数、奶制品摄入、日常生活活动量、体育锻炼活动量、下肢肌力是骨质疏松的主要相关因素,其中性别对结果影响最大(标准化回归系数=0.300),ROC曲线下面积为0.896,95% CI为0.86~0.93,模型的灵敏度为88.3%,特异度为77.1%,Younden指数为0.654,模型预测准确率为82.8%。结论 性别、年龄、体质指数、奶制品摄入量、日常生活及体育锻炼活动量、下肢肌力可作为判断骨质疏松症的指标,由此建立的方程预测效果较好,对骨质疏松预防有一定的参考价值。

关 键 词:骨质疏松症  相关因素  老年人  相关性分析
收稿时间:2015-08-06

Current situation and correlative factors analysis on senile osteoporosis in a community of Shanghai
SHI Yi-bin, ZHENG Song-bai, SHEN Li-yan, ZHENG Jie-jiao, PAN Yu-jian, GUAN Jin-fa, ZHOU Jia-ping, LIANG Zhen-wen, DING Jian-wei, XIA Chun. Current situation and correlative factors analysis on senile osteoporosis in a community of Shanghai[J]. Shanghai Journal of Preventive Medicine, 2016, 28(1): 24-29.
Authors:SHI Yi-bin  ZHENG Song-bai  SHEN Li-yan  ZHENG Jie-jiao  PAN Yu-jian  GUAN Jin-fa  ZHOU Jia-ping  LIANG Zhen-wen  DING Jian-wei  XIA Chun
Affiliation:1.Yingyuan Hospital of Jiading District, Shanghai 201822, China
Abstract:
Objective To explore the prevalence of osteoporosis and its correlative factors in adults over 65 in a community in Shanghai.Methods A total of 594 elderly people were investigated by filling out questionnaires including their basic information, daily behavior habits, etc. Meanwhile, their lower limb myodynamia, and calcaneus ultrasonic bone mineral density were measured. Then, the questionnaires of 297 elderly people from the total were drawn randomly for analysis of correlative factors for osteoporosis by using multiple logistic regression analysis, which was also used to inspect the accuracy of equation prediction.Results The prevalence of osteoporosis was shown to be 60.6% in residents aged 65 or older.The multiple logistic regression analysis showed that gender, age, body mass index (BMI), intake of dairy products, activities of daily life, physical exercise and lower limb myodynamia were the main correlative factors of senile osteoporosis, and the standardized regression coefficient of the gender was found to be greater than others (B=0.300). Besides, the area under ROC curve was 0.896, 95% CI was 0.86~0.93. The model has sensitivity and specificity of 88.3% and 77.1% respectively, with Younden index being 0.654 and prediction accuracy 82.8%.Conclusion Gender, age, body mass index, dairy consumption, activities of daily life and physical exercise, and lower limb myodynamia can be used as judge indexes of osteoporosis, and the equation based on the indexes has a fine prediction effect, which possesses a certain reference value for osteoporosis prevention.
Keywords:osteoporosis  correlative factor  elderly people  correlation analysis
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