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The Roles of Genetic and Early-Life Environmental Factors in the Association Between Overweight or Obesity and Hypertension: A Population-Based Twin Study.
Xi, Yu'e; Gao, Wenjing; Zheng, Ke; Lv, Jun; Yu, Canqing; Wang, Shengfeng; Huang, Tao; Sun, Dianjianyi; Liao, Chunxiao; Pang, Yuanjie; Pang, Zengchang; Yu, Min; Wang, Hua; Wu, Xianping; Dong, Zhong; Wu, Fan; Jiang, Guohong; Wang, Xiaojie; Liu, Yu; Deng, Jian; Lu, Lin; Cao, Weihua; Li, Liming.
Afiliación
  • Xi Y; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
  • Gao W; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
  • Zheng K; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
  • Lv J; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
  • Yu C; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
  • Wang S; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
  • Huang T; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
  • Sun D; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
  • Liao C; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
  • Pang Y; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
  • Pang Z; Qingdao Municipal Center for Disease Control and Prevention , Qingdao, China.
  • Yu M; Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
  • Wang H; Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
  • Wu X; Sichuan Center for Disease Control and Prevention, Chengdu, China.
  • Dong Z; Beijing Center for Disease Prevention and Control, Beijing, China.
  • Wu F; Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
  • Jiang G; Tianjin Centers for Disease Control and Prevention, Tianjin, China.
  • Wang X; Qinghai Center for Diseases Prevention and Control, Xining, China.
  • Liu Y; Heilongjiang Provincial Center for Disease Control and Prevention, Harbin, China.
  • Deng J; Handan Center for Disease Control and Prevention, Handan, China.
  • Lu L; Yunnan Center for Disease Control and Prevention, Kunming, China.
  • Cao W; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
  • Li L; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Front Endocrinol (Lausanne) ; 12: 743962, 2021.
Article en En | MEDLINE | ID: mdl-34675880
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. Methods: 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 via 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. Results: 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): 1.64~2.30). In the conditional logistic regression, the multi-adjusted OR was 1.80 (95% CI: 1.18~2.74). The difference in OR between unmatched and matched analyses was significant (P=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: 0.46~1.72). After controlling for age and sex, we found the positive BMI-hypertension association was mainly explained by a genetic correlation between them (rA= 0.59, 95% CI: 0.44~1.00). 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.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Ambiente / Sobrepeso / Hipertensión / Obesidad Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies País/Región como asunto: Asia Idioma: En Revista: Front Endocrinol (Lausanne) Año: 2021 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Ambiente / Sobrepeso / Hipertensión / Obesidad Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies País/Región como asunto: Asia Idioma: En Revista: Front Endocrinol (Lausanne) Año: 2021 Tipo del documento: Article