Abstract
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].Chinese journal of Epidemiology,2018,39(7):914-919
高血压人群中体质指数与全死因死亡风险的队列研究
A cohort study on body mass index and risk of all-cause mortality among hypertensive population
Received:January 14, 2018  
DOI:10.3760/cma.j.issn.0254-6450.2018.07.010
KeyWord: 体质指数  死亡  高血压  肥胖悖论
English Key Word: Body mass index  Mortality  Hypertension  Obesity paradox
FundProject:国家自然科学基金(81373074,81402752,81673260)
Author NameAffiliationE-mail
Liu Xuejiao Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China  
Wang Bingyuan Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China  
Ren Yongcheng Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China  
Zhao Yang Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China  
Liu Dechen Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China  
Zhang Dongdong Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China  
Chen Xu Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China  
Liu Leilei Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China  
Cheng Cheng Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China  
Liu Feiyan Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen 518060, China  
Zhou Qionggui Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen 518060, China  
Chen Guozhen Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen 518060, China  
Hong Shihao Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen 518060, China  
Liu Dan Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen 518060, China  
Hu Siqi Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen 518060, China  
Zhang Ming Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen 518060, China  
Hu Dongsheng Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China hud@szu.edu.cn 
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Abstract:
      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。
English Abstract:
      Objective To investigate the relationship between body mass index (BMI) and all-cause mortality in hypertensive population. Methods All participants were selected from a prospective cohort study based on a rural population from Henan province, China. Cox proportional hazards regression models were used to estimate the associations of different levels of BMI stratification with all-cause mortality. Restricted cubic spline models were used to detect the dose-response relation. Results Among the 5 461 hypertensive patients, a total of 31 048.38 person-years follow-up was conducted. The median of follow-up time was 6 years, and 589 deaths occurred during the follow-up period. Compared to normal weight group (18.5 kg/m2 < BMI < 24.0 kg/m2) the multivariate-adjusted hazard ratios for all-cause mortality associated with BMI levels (<18.5 kg/m2, 24-28 kg/m2, and ≥ 28 kg/m2) were 0.83 (95%CI:0.37-1.87), 0.81 (95%CI:0.67-0.97), and 0.72 (95%CI:0.56-0.91), respectively. The dose-response analysis showed a nonlinear, reverse "S" shaped relationship (non-linearity P<0.001). Conclusion Overweight or obese might have a protective effect on all-cause mortality in hypertensive population, which supports the "obesity paradox" phenomenon.
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