Lindner Simon David, Gisinger Teresa, Klimek Peter, Kautzky-Willer Alexandra
Institute of the Science of Complex Systems, CeMSIIS, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria.
Complexity Science Hub Vienna, Josefstädter Straße 39, 1080 Vienna, Austria.
J Pers Med. 2024 Aug 22;14(8):890. doi: 10.3390/jpm14080890.
Our aim is to investigate if sex and gender influence the association of hypertension and their comorbidities. We investigated how gender differences in five socioeconomic factors impact the relation between hypertension and ten comorbidities including diabetes mellitus, renal disease, and chronic pulmonary disease in European countries grouped by their gender inequality index using representative survey data from the European Health Interview Survey. Using logistic regressions, we compute the ratio of odds ratios in females versus males. Therefore, an ORR > 1 is associated with a higher odds ratio for females than for males while an ORR < 1 means the opposite. To account for multiple hypothesis testing, we applied the Bonferroni correction. Hypertension in both sexes was associated with lower educational level, being unemployed, and lower income. In males, being divorced/widowed (OR1.12, < 0.001) had an association to hypertension, whereas in females, being common-law/married (OR1.30, < 0.001) and being divorced/widowed (OR1.17, < 0.001) was associated with a higher risk for hypertension. Moreover, in hypertension, females who worked had an association with myocardial infarction (OR1.39, < 0.001) and having post-secondary education had an association with arthrosis (OR 1.35, < 0.001) compared to males. Our findings show that gender variables influence the association of hypertension and comorbidities, especially in females. These results can be used to inform targeted prevention measures taking gender-specific contextual factors into account.
我们的目的是研究性别是否会影响高血压及其合并症之间的关联。我们利用欧洲健康访谈调查的代表性调查数据,调查了五个社会经济因素中的性别差异如何影响欧洲国家按性别不平等指数分组的高血压与包括糖尿病、肾病和慢性肺病在内的十种合并症之间的关系。我们使用逻辑回归计算女性与男性的比值比。因此,ORR>1表明女性的比值比高于男性,而ORR<1则相反。为了考虑多重假设检验,我们应用了邦费罗尼校正。男女高血压均与较低的教育水平、失业和低收入有关。在男性中,离婚/丧偶(OR1.12,<0.001)与高血压有关,而在女性中,同居/已婚(OR1.30,<0.001)和离婚/丧偶(OR1.17,<0.001)与高血压风险较高有关。此外,在高血压患者中,与男性相比,有工作的女性与心肌梗死有关(OR1.39,<0.001),接受过中等后教育的女性与关节炎有关(OR 1.35,<0.001)。我们的研究结果表明,性别变量会影响高血压与合并症之间的关联,尤其是在女性中。这些结果可用于制定考虑到性别特定背景因素的针对性预防措施。