| 高血压人群中体质指数与全死因死亡风险的队列研究 |
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| 引用本文： | 刘雪娇,王炳源,任永成,赵阳,刘德臣,张冬冬,陈序,刘磊磊,程诚,刘飞燕,周琼桂,陈国桢,洪士皓,刘丹,胡思琦,张明,胡东生.高血压人群中体质指数与全死因死亡风险的队列研究[J].中华流行病学杂志,2018,39(7):914-919. |
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| 作者姓名： | 刘雪娇 王炳源 任永成 赵阳 刘德臣 张冬冬 陈序 刘磊磊 程诚 刘飞燕 周琼桂 陈国桢 洪士皓 刘丹 胡思琦 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,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 深圳大学医学部预防医学系,518060 深圳大学医学部预防医学系,518060 深圳大学医学部预防医学系,518060 深圳大学医学部预防医学系,518060 深圳大学医学部预防医学系,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 探讨高血压队列人群中BMI和全死因死亡风险的关系。方法 研究对象为河南省某农村地区高血压队列人群，应用Cox风险比例回归模型计算基线时不同BMI水平人群随访期间的全死因死亡比例HR值及其95% CI，并采用限制性立方样条模型拟合BMI与全死因死亡风险的剂量-反应关系。结果 5 461名高血压队列人群累积随访31 048.38人年，平均随访6年，随访期间死亡589人。控制潜在的混杂因素后，以基线正常体重组（18.5 kg/m2 < BMI < 24.0 kg/m2）为参照，低体重组（BMI<18.5 kg/m2）、超重组（24.0 kg/m2 < BMI < 28.0 kg/m2）和肥胖组（BMI≥28 kg/m2）人群发生死亡的HR值（95% CI）分别为0.83（0.37～1.87）、0.81（0.67～0.97）和0.72（0.56～0.91）。限制性立方样条模型分析结果显示，在高血压队列人群中，基线BMI和全死因死亡风险关联强度呈现倒“S”形非线性剂量反应关系（非线性检验P<0.001）。结论 超重和肥胖可能是高血压人群死亡风险的保护因素，与“肥胖悖论”一致。
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| 关 键 词： | 体质指数 死亡 高血压 肥胖悖论 |
| 收稿时间： | 2018/1/14 0:00:00 |
A cohort study on body mass index and risk of all-cause mortality among hypertensive population |
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| Liu Xuejiao,Wang Bingyuan,Ren Yongcheng,Zhao Yang,Liu Dechen,Zhang Dongdong,Chen Xu,Liu Leilei,Cheng Cheng,Liu Feiyan,Zhou Qionggui,Chen Guozhen,Hong Shihao,Liu Dan,Hu Siqi,Zhang Ming and Hu Dongsheng.A cohort study on body mass index and risk of all-cause mortality among hypertensive population[J].Chinese Journal of Epidemiology,2018,39(7):914-919. |
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| Authors: | Liu Xuejiao Wang Bingyuan Ren Yongcheng Zhao Yang Liu Dechen Zhang Dongdong Chen Xu Liu Leilei Cheng Cheng Liu Feiyan Zhou Qionggui Chen Guozhen Hong Shihao Liu Dan Hu Siqi 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 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 Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen 518060, China,Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen 518060, China,Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen 518060, China,Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen 518060, China,Department of Preventive 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 Mortality Hypertension Obesity paradox |
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