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张曾航, 郭晓雷, 殷召雪, 王增武, 张丙银, 苏玉娟, 鹿子龙, 张吉玉, 庞名芮, 任甜梦, 马吉祥. 血压在体质指数与心血管疾病发生风险间的中介效应[J]. 中国公共卫生, 2023, 39(3): 330-334. DOI: 10.11847/zgggws1140656
引用本文: 张曾航, 郭晓雷, 殷召雪, 王增武, 张丙银, 苏玉娟, 鹿子龙, 张吉玉, 庞名芮, 任甜梦, 马吉祥. 血压在体质指数与心血管疾病发生风险间的中介效应[J]. 中国公共卫生, 2023, 39(3): 330-334. DOI: 10.11847/zgggws1140656
ZHANG Zeng-hang, GUO Xiao-lei, YIN Zhao-xue, . Mediating role of blood pressure on the association of body mass index with cardiovascular disease risk[J]. Chinese Journal of Public Health, 2023, 39(3): 330-334. DOI: 10.11847/zgggws1140656
Citation: ZHANG Zeng-hang, GUO Xiao-lei, YIN Zhao-xue, . Mediating role of blood pressure on the association of body mass index with cardiovascular disease risk[J]. Chinese Journal of Public Health, 2023, 39(3): 330-334. DOI: 10.11847/zgggws1140656

血压在体质指数与心血管疾病发生风险间的中介效应

Mediating role of blood pressure on the association of body mass index with cardiovascular disease risk

  • 摘要:
      目的  探讨血压在体质指数(BMI)与心血管疾病(CVD)发生风险间的中介效应,为CVD的预防控制提供参考依据。
      方法  于2011年6 — 9月采用多阶段分层随机抽样方法在山东省抽取15600名常住居民进行问卷调查、体格检查和实验室检测,通过山东省心脑血管疾病和死因监测系统随访到13688名常住居民截至2021年10月11日的CVD结局信息;采用单因素和多因素Cox比例风险回归模型分析BMI与CVD发生风险的关系,拟合基于Cox比例风险回归模型的限制性立方样条(RCS)分析BMI与CVD发生风险之间的剂量 – 反应关系,并采用依次检验法分析血压在BMI与CVD发生风险间的中介效应。
      结果  山东省有效调查的15350名常住居民中,利用居民身份证号码共匹配到13688名居民截至2021年10月11日的CVD结局信息,随访率为89.17 %,共随访133733.79人年,中位随访时间为10.25年;剔除51名主要研究数据缺失者以及基线自报有冠心病病史254例和有脑卒中病史115例后,对最终纳入13268名研究对象进行分析。截至随访观察终点时发生CVD结局事件者492例,发病密度为367.90/10万人年;低体重组、正常体重组、超重组和肥胖组居民发生CVD结局事件者分别为22、173、183和114例,发病密度分别为380.08/10万人年、285.84/10万人年、410.42/10万人年和499.25/10万人年。在调整了性别、年龄、文化程度、婚姻状况、家庭年均收入、居住地、地区、是否吸烟、是否饮酒、是否身体活动不足、是否高血压、是否糖尿病、是否血脂异常、每日盐摄入量和每日油摄入量等混杂因素后,多因素Cox比例风险回归模型分析结果显示,超重组居民发生CVD结局事件的风险为正常体重组居民的1.253倍(HR = 1.253,95 % CI = 1.014~1.548);剂量 – 反应关系分析显示BMI与CVD发生风险呈“J”形关系(χ2总趋势 = 29.87,P总趋势 = 0.004;χ2非线性 = 7.08,P非线性 = 0.069);中介效应分析显示,BMI与CVD发生风险的直接效应为0.038(Z = 11.644,P < 0.001),收缩压(SBP)、舒张压(DBP)和是否高血压的中介效应分别为0.022(Z = 12.354,P < 0.001)、0.041(Z = 10.859,P < 0.001)和0.133(Z = 11.506,P < 0.001),其中介作用百分比分别为36.67 %、51.90 %和77.78 %。
      结论  血压在BMI与CVD发生风险间的关联中具有较强的中介效应,应重点关注超重或肥胖个体的血压变化情况并及时进行干预和指导。

     

    Abstract:
      Objective  To investigate mediating role of blood pressure on the association of body mass index (BMI) with cardiovascular disease (CVD) risk and to provide evidence for control of CVD risk.
      Methods  Using stratified multistage random sampling and a self-designed questionnaire, a baseline survey including face-to-face interview, physical examination and laboratory tests were conducted among 15 600 permanent urban/rural residents aged 18 – 69 years during June – September, 2021 in Shandong province; then the residents were followed up to October 11, 2021 through the Cardiovascular Diseases and Mortality Surveillance System to collect the information on the prevalence of CVD. Univariate and multivariate Cox proportional risk regression model was used to analyze the association of body mass index (BMI) with the risk of CVD. The dose-response relationship between BMI and CVD risk was described with restricted cubic splines (RCS). The mediating role of blood pressure on the association of BMI with CVD risk was assessed with sequential test.
      Results  Of all the residents at the baseline survey, 89.17% (13 688) were followed up; after excluding those with previous history of coronary heart disease (n = 254) and stroke (n = 115) and those without valid outcome information, 13 268 participants were finally included in the analysis, with a total follow-up of 133 733.79 person-years and a median follow-up period of 10.25 years. By the end of the follow-up among the participants, totally 492 CVD incidences were identified and the CVD incidence density was 367.90/100 000 person-years. The number of CVD incidence was 22, 173, 183, and 114 among the participants with low-weight, normal-weight, overweight, and obesity, with the corresponding CVD incidence densities (1/100 000 person-years) of 380.08, 285.84, 410.42, and 499.25, respectively. After adjusting for age, gender, education, marital status, annual household income, living area (urban/rural), geographical region of residence (central/southeast/northwest), smoking, alcohol drinking, physical activity, daily salt intake, daily oil intake, and disease history of hypertension, diabetes or dyslipidemia, multivariate Cox proportional risk regression model analysis showed that the participants with overweight were at an increased risk of CVD incidence (hazard risk HR = 1.253, 95% confidence interval 95% CI: 1.014 – 1.548) compared to those with normal weight. Dose-response analysis revealed a J-shaped relationship between BMI and the risk of CVD (χ2overall = 29.87, P overall = 0.004; χ2nonlinear = 7.08, Pnonlinear = 0.069). Mediating effect analysis demonstrated that the direct effect of BMI on CVD incidence risk was 0.038 (Z = 11.644, P < 0.001) and the mediating effect of systolic blood pressure (SBP), diastolic blood pressure (DBP) and hypertension was 0.022 (Z = 12.354, P < 0.001), 0.041 (Z = 10.589, P < 0.001) and 0.133 (Z = 11.506, P < 0.001). The mediating effect percentages of SBP, DBP pressure and hypertension were 36.67%, 51.90% and 77.78%, respectively.
      Conclusion  Blood pressure has a strong mediating effect on the association of BMI with CVD risk. The results suggested that more attention and intervention on the changes of blood pressure need to be promoted among overweight and obesity populations.

     

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