Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Qingdao Municipal Center for Disease Control and Prevention , Qingdao, China.
Front Endocrinol (Lausanne). 2021 Oct 5;12:743962. doi: 10.3389/fendo.2021.743962. eCollection 2021.
AIMS/HYPOTHESIS: We aimed to explore whether and to what extent overweight or obesity could increase the risk of hypertension, and further to estimate the roles of genetic and early-life familial environmental factors in their association.
This prospective twin study was based on the Chinese National Twin Registry (CNTR), which collected information from self-report questionnaires. We conducted unmatched case-control analysis to examine the association between overweight or obesity and hypertension. And further to explore whether genetics and familiar environments shared within a twin pair, accounted for their association co-twin matched case-control design. Generalized estimating equation (GEE) models and conditional logistic regressions were used in the unmatched and matched analyses, respectively. Then, we used logistic regressions to test the difference in odds ratios (ORs) between the unmatched and matched analyses. Finally, through bivariate twin model, the roles of genetic and environmental factors in the body mass index (BMI)- hypertension association were estimated.
Overall, we included a total of 30,617 twin individuals, of which 7533 (24.6%) twin participants were overweight or obesity and 757 (2.5%) developed hypertension during a median follow-up time of 4.4 years. In the GEE model, overweight or obesity was associated with a 94% increased risk of hypertension (OR=1.94, 95% confidence interval (CI): 1.642.30). In the conditional logistic regression, the multi-adjusted OR was 1.80 (95% CI: 1.182.74). The difference in OR between unmatched and matched analyses was significant (=0.016). Specifically, overweight or obesity was not associated with hypertension risk in the co-twin design when we full controlled genetic and familiar environmental factors (OR=0.89, 95 CI: 0.461.72). After controlling for age and sex, we found the positive BMI-hypertension association was mainly explained by a genetic correlation between them (= 0.59, 95% CI: 0.441.00).
CONCLUSIONS/INTERPRETATION: Genetics and early-life environments shared by participants within a twin pair appear to account for the association between overweight or obesity and hypertension risk.
目的/假设:我们旨在探讨超重或肥胖是否以及在何种程度上会增加患高血压的风险,并进一步估计遗传和早期家庭环境因素在其相关性中的作用。
本前瞻性双胞胎研究基于中国国家双胞胎登记处(CNTR),该登记处从自我报告问卷中收集信息。我们进行了不匹配的病例对照分析,以检查超重或肥胖与高血压之间的关联。进一步探讨双胞胎个体间共享的遗传和环境因素是否解释了它们之间的关联。采用同卵双生子匹配病例对照设计。广义估计方程(GEE)模型和条件逻辑回归分别用于不匹配和匹配分析。然后,我们使用逻辑回归检验不匹配和匹配分析中比值比(OR)的差异。最后,通过双变量双胞胎模型,估计遗传和环境因素在体重指数(BMI)-高血压关联中的作用。
总体而言,我们共纳入了 30617 名双胞胎个体,其中 7533 名(24.6%)双胞胎参与者超重或肥胖,757 名(2.5%)在中位随访时间为 4.4 年期间发生了高血压。在 GEE 模型中,超重或肥胖与高血压风险增加 94%相关(OR=1.94,95%置信区间(CI):1.642.30)。在条件逻辑回归中,多因素调整后的 OR 为 1.80(95%CI:1.182.74)。不匹配和匹配分析中 OR 的差异具有统计学意义(=0.016)。具体而言,当我们充分控制遗传和家庭环境因素时,超重或肥胖与双胞胎设计中的高血压风险无关(OR=0.89,95%CI:0.461.72)。在控制年龄和性别后,我们发现 BMI-高血压的正相关主要是由它们之间的遗传相关性解释的(=0.59,95%CI:0.441.00)。
结论/解释:双胞胎个体间共享的遗传和早期环境因素似乎可以解释超重或肥胖与高血压风险之间的关联。