| 我国成年人群年龄对体质指数与高血压发病风险的修饰效应 |
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| 引用本文： | 张冬冬,刘雪娇,王炳源,任永成,赵阳,刘飞燕,刘徳臣,程诚,陈序,刘磊磊,周琼桂,徐琦焕,熊一涵,刘佳立,游子扬,张明,胡东生.我国成年人群年龄对体质指数与高血压发病风险的修饰效应[J].中华流行病学杂志,2018,39(6):765-769. |
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| 作者姓名： | 张冬冬 刘雪娇 王炳源 任永成 赵阳 刘飞燕 刘徳臣 程诚 陈序 刘磊磊 周琼桂 徐琦焕 熊一涵 刘佳立 游子扬 张明 胡东生 |
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| 作者单位： | 450001 郑州大学公共卫生学院流行病与卫生统计学系,450001 郑州大学公共卫生学院流行病与卫生统计学系,450001 郑州大学公共卫生学院流行病与卫生统计学系,450001 郑州大学公共卫生学院流行病与卫生统计学系,450001 郑州大学公共卫生学院流行病与卫生统计学系,518060 深圳大学医学部预防医学系,450001 郑州大学公共卫生学院流行病与卫生统计学系,450001 郑州大学公共卫生学院流行病与卫生统计学系,450001 郑州大学公共卫生学院流行病与卫生统计学系,450001 郑州大学公共卫生学院流行病与卫生统计学系,518060 深圳大学医学部预防医学系,518060 深圳大学医学部临床医学系,518060 深圳大学医学部临床医学系,518060 深圳大学医学部临床医学系,518060 深圳大学医学部临床医学系,518060 深圳大学医学部预防医学系,450001 郑州大学公共卫生学院流行病与卫生统计学系 |
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| 基金项目： | 国家自然科学基金（81373074，81402752，81673260） |
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| 摘 要： | 目的 探讨中国成年人群年龄对BMI与高血压发病风险的影响。方法 采用整群随机抽样方法，选择河南省新安县≥ 18岁20 194名农村常住居民为研究对象，于2007-2008年开展基线调查，2013-2014年随访。采用logistic回归模型分析基线BMI、年龄别BMI与高血压发病风险的关系。结果 共纳入9 768名研究对象，在6年随访期内，发生高血压1 950例，其中男性784例，女性1 166例，相应的累积发病率分别为19.96%、20.51%和19.61%。以BMI<22 kg/m2组为参照，基线BMI为22~、24~、26~、≥ 28 kg/m2的研究对象发生高血压的RR值（95%CI）分别为1.09（0.93~1.27）、1.17（1.01~1.37）、1.34（1.14~1.58）和1.31（1.09~1.56）。青中年人群随着BMI的升高，高血压发病风险呈逐渐上升趋势（P<0.05）；老年人群随着BMI的增加，高血压发病风险则无显著变化趋势（P>0.05）。结论 BMI与高血压发病风险的关联受到年龄因素修饰的影响，在青中年人群中干预BMI可更有效降低高血压发病风险。
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| 关 键 词： | 体质指数 高血压 年龄 修饰效应 队列研究 |
| 收稿时间： | 2017/10/12 0:00:00 |
Age-related modification effect on the association between body mass index and the risk of hypertension: A Cohort Study on Chinese people living in the rural areas |
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| Zhang Dongdong,Liu Xuejiao,Wang Bingyuan,Ren Yongcheng,Zhao Yang,Liu Feiyan,Liu Dechen,Cheng Cheng,Chen Xu,Liu Leilei,Zhou Qionggui,Xu Qihuan,Xiong Yihan,Liu Jiali,You Ziyang,Zhang Ming and Hu Dongsheng.Age-related modification effect on the association between body mass index and the risk of hypertension: A Cohort Study on Chinese people living in the rural areas[J].Chinese Journal of Epidemiology,2018,39(6):765-769. |
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| Authors: | Zhang Dongdong Liu Xuejiao Wang Bingyuan Ren Yongcheng Zhao Yang Liu Feiyan Liu Dechen Cheng Cheng Chen Xu Liu Leilei Zhou Qionggui Xu Qihuan Xiong Yihan Liu Jiali You Ziyang Zhang Ming and Hu Dongsheng |
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| Institution: | Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China,Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China,Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China,Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China,Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China,Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen 518060, China,Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China,Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China,Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China,Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China,Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen 518060, China,Department of Clinical Medicine, Shenzhen University Health Sciences Center, Shenzhen 518060, China,Department of Clinical Medicine, Shenzhen University Health Sciences Center, Shenzhen 518060, China,Department of Clinical Medicine, Shenzhen University Health Sciences Center, Shenzhen 518060, China,Department of Clinical Medicine, Shenzhen University Health Sciences Center, Shenzhen 518060, China,Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen 518060, China and Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China |
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| Abstract: | |
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| Keywords: | Body mass index Hypertension Age Modification Cohort |
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