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巴西农村人口中婚姻状况与 2 型糖尿病发病率的关系:贝伦迪心脏研究。

Relationship between marital status and incidence of type 2 diabetes mellitus in a Brazilian rural population: The Baependi Heart Study.

机构信息

Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil.

Department of Integrative Medicine, Federal University of Parana, Curitiba, Brazil.

出版信息

PLoS One. 2020 Aug 3;15(8):e0236869. doi: 10.1371/journal.pone.0236869. eCollection 2020.

Abstract

Many factors influence the incidence of type 2 diabetes mellitus (T2DM). Here, we investigated the associations between socio-demographic characteristics and familial history with the 5-year incidence of T2DM in a family-based study conducted in Brazil. T2DM was defined as baseline fasting blood glucose ≥ 126 mg/dL or the use of any hypoglycaemic drug. We excluded individuals with T2DM at baseline or if they did not attend two examination cycles. After exclusions, we evaluated a sample of 1,125 participants, part of the Baependi Heart Study (BHS). Mixed-effects logistic regression models were used to assess T2DM incident given different characteristics. At the 5-year follow-up, the incidence of T2DM was 6.7% (7.2% men and 6.3% women). After adjusting for age, sex, and education status, the model that combined marital and occupation status, skin color, and familial history of T2DM provided the best prediction for T2DM incidence. Only marital status was independently associated with T2DM incidence. Individuals that remained married, despite having significantly increased their weight, were significantly less likely to develop diabetes than their divorced counterparts.

摘要

许多因素会影响 2 型糖尿病(T2DM)的发病率。在这里,我们在巴西进行的一项基于家庭的研究中,调查了社会人口特征和家族史与 T2DM 5 年发病率之间的关系。T2DM 的定义为基线空腹血糖≥126mg/dL 或使用任何降血糖药物。我们排除了基线时患有 T2DM 的个体或未参加两个检查周期的个体。排除后,我们评估了 1125 名参与者的样本,他们是贝伦迪心脏研究(BHS)的一部分。混合效应逻辑回归模型用于评估不同特征下 T2DM 的发病情况。在 5 年的随访中,T2DM 的发病率为 6.7%(男性为 7.2%,女性为 6.3%)。在调整年龄、性别和教育程度后,将婚姻和职业状况、肤色以及 T2DM 的家族史结合起来的模型对 T2DM 的发病率提供了最佳预测。只有婚姻状况与 T2DM 的发病率独立相关。尽管体重显著增加,但仍保持已婚状态的个体发生糖尿病的可能性明显低于离婚个体。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c557/7398527/350bdac751a1/pone.0236869.g001.jpg

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