Cong X F, Liu S B, Xu T L, Wang W J, Ma J X, Li J H
National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Office of Non-Communicable Diseases and Ageing Health Management, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Zhonghua Liu Xing Bing Xue Za Zhi. 2021 Nov 10;42(11):2010-2017. doi: 10.3760/cma.j.cn112338-20200812-01064.
To analyze the association between waist-to-height ratio and the overall and type specific incidence of stroke in adults in China. A total of 36 632 people were selected from 60 surveillance sites (25 in urban area and 35 in rural area) in China Chronic Disease Surveillance Project in 2010. The China Chronic Disease Surveillance Project data in 2010 were used as baseline data. A total of 27 762 people were followed up from 2016 to 2017. Cox proportional risk regression model was used to analyze the risk ratio of waist-to-height ratio for the overall and type specific incidence of stroke. Subgroup analyses were performed based on baseline characteristics such as age and sex, and sensitivity analysis was performed by excluding those who died and those with diabetes at baseline survey. A total of 27 112 subjects were included in the stroke analysis, and 1 333 stroke events were observed. A total of 26 907 subjects were included in the ischemic stroke analysis, and 1 128 ischemic stroke events were observed. A total of 25 984 subjects were included in the hemorrhagic stroke analysis, and 205 cases of hemorrhagic stroke were observed. After adjusting for relevant confounders and taking group with waist-to-height ratio of 0-0.45 as a reference, the stroke analysis indicated that in groups with waist-to-height ratio of 0.46-0.49, 0.50-0.54 and ≥0.55 the risk for stroke increased by 21% (=1.21, 95%:1.00-1.46), 26% (=1.26, 95%:1.04-1.53) and 60% (=1.60, 95%:1.29-1.99) respectively. Subgroup analysis revealed that age specific waist-to-height ratio had modification effect on the risk for stroke (interaction =0.001). Ischemic stroke analysis indicated that in groups with waist-to-height ratio of 0.46-0.49, 0.50-0.54 and ≥0.55 the risk for ischemic stroke increased by 30% (=1.30, 95%: 1.05-1.60), 33% (=1.33, 95%: 1.07-1.64) and 61% (=1.61, 95%: 1.26-2.05) respectively. Subgroup analysis revealed that age specific waist-to-height ratio had modification effect on the risk for ischemic stroke (interaction =0.024). Hemorrhagic stroke analysis indicated that in group with waist-to-height ratio of ≥0.55 the risk for hemorrhagic stroke increased by 73% (=1.73, 95%: 1.02-2.94), but the differences in the risk increase in groups with waist-to-height ratio of 0.46-0.49 and 0.50-0.54 were not significant. The sensitivity analysis showed no changes. In the prevention and control of stroke by body weight control, it is necessary to take waist to height ratio as one of the indicators of body weight control. Particular attention needed to be paid to the people aged <50 years with waist-to-height ratio of ≥0.55 as well as those with waist-to-height ratio of <0.5 (i.e., 0.46-0.49).
分析中国成年人腰高比与总体及特定类型中风发病率之间的关联。2010年从中国慢性病监测项目的60个监测点(25个城区和35个农村地区)选取了36632人。将2010年中国慢性病监测项目数据用作基线数据。2016年至2017年对27762人进行了随访。采用Cox比例风险回归模型分析腰高比对总体及特定类型中风发病率的风险比。根据年龄和性别等基线特征进行亚组分析,并通过排除基线调查时死亡者和糖尿病患者进行敏感性分析。中风分析共纳入27112名受试者,观察到1333例中风事件。缺血性中风分析共纳入26907名受试者,观察到1128例缺血性中风事件。出血性中风分析共纳入25984名受试者,观察到205例出血性中风。在调整相关混杂因素后,以腰高比为0 - 0.45的组为参照,中风分析表明,腰高比为0.46 - 0.49、0.50 - 0.54和≥0.55的组中风风险分别增加21%(=1.21,95%:1.00 - 1.46)、26%(=1.26,95%:1.04 - 1.53)和60%(=1.60,95%:1.29 - 1.99)。亚组分析显示,特定年龄的腰高比对中风风险有修正作用(交互作用=0.001)。缺血性中风分析表明,腰高比为0.46 - 0.49、0.50 - 0.54和≥0.55的组缺血性中风风险分别增加30%(=1.30,95%:1.05 - 1.60)、33%(=1.33,95%:1.07 - 1.64)和61%(=1.61,95%:1.26 - 2.05)。亚组分析显示,特定年龄的腰高比对缺血性中风风险有修正作用(交互作用=0.024)。出血性中风分析表明,腰高比≥0.55的组出血性中风风险增加73%(=1.73,95%:1.02 - 2.94),但腰高比为0.46 - 0.49和0.50 - 0.54的组风险增加差异不显著。敏感性分析结果未变。在通过控制体重预防和控制中风方面,有必要将腰高比作为体重控制指标之一。尤其需要关注腰高比≥0.55的<50岁人群以及腰高比<0.5(即0.46 - 0.49)的人群。