当前位置: X-MOL 学术J. Diabetes its Complicat. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Sex- specific clustering of metabolic syndrome components and incidence of cardiovascular disease: A latent class analysis in a population-based cohort study
Journal of Diabetes and its Complications ( IF 3 ) Pub Date : 2021-04-26 , DOI: 10.1016/j.jdiacomp.2021.107942
Noushin Sadat Ahanchi 1 , Farzad Hadaegh 1 , Fereidoun Azizi 2 , Davood Khalili 3
Affiliation  

Background

The prevalence of metabolic syndrome (MetS) is rapidly increasing in the world; also, the importance of management of MetS to decrease the risk of cardiovascular disease (CVD) has been recognized worldwide. This study aimed to explore the clusters of participants based on MetS components and its association with CVD outcomes.

Methods

We included 2598 middle-aged participants (1545 women and 1053 men), 45–65 years old, at baseline and without prior CVD history. Participants were followed up for 10 years. We conducted a latent class analysis based on MetS components. Subsequently, the relationship between latent classes and the incidence of CVD was investigated using Cox regression models adjusted for the main confounders.

Results

During the study period, 393 (186 women and 207 men) new cases of CVD were identified among participants. In both genders, four distinct latent classes were identified: (1) Mets class (its prevalence rate in men: 19.6%, women: 27.7%), (2) Hypertension class (men: 12.1%, women: 13.7%), (3) Dyslipidemia class (men: 31.7%, women: 30.7%), (4) Low risk class (men: 39.3%, women: 30.5%). Compared with low-risk class, in both genders, Mets and hypertension classes were significant predictors of incident CVD. However, dyslipidemia class was a significant predictor just in women.

Conclusion

We found four subclasses in both genders indicating the same patterns of MetS latent classes in men and women. However, the relationship between subclasses of MetS and incident CVD varied by gender. These results suggest that the etiology of MetS involve more than one pathway and giving equal weight to each component or using the same cut-off values in both genders need to be reconsidered.



中文翻译:

代谢综合征成分和心血管疾病发病率的性别特异性聚类:基于人群的队列研究中的潜在类别分析

背景

代谢综合征(MetS)的患病率在世界范围内迅速增加;此外,管理 MetS 以降低心血管疾病 (CVD) 风险的重要性已在世界范围内得到认可。本研究旨在探索基于 MetS 成分的参与者集群及其与 CVD 结果的关联。

方法

我们纳入了 2598 名中年参与者(1545 名女性和 1053 名男性),年龄在 45-65 岁,基线时没有心血管病史。参与者被跟踪了10 年。我们基于 MetS 组件进行了潜在类别分析。随后,使用针对主要混杂因素调整的 Cox 回归模型研究了潜在类别与 CVD 发病率之间的关系。

结果

在研究期间,参与者中发现了 393 例(186 名女性和 207 名男性)新的 CVD 病例。在两种性别中,确定了四个不同的潜在类别:(1)Mets类别(其在男性中的患病率:19.6%,女性:27.7%),(2)高血压类别(男性:12.1%,女性:13.7%),( 3)血脂异常类(男性:31.7%,女性:30.7%),(4)低风险类(男性:39.3%,女性:30.5%)。与低风险等级相比,在两性中,大都会和高血压等级是心血管疾病事件的重要预测因子。然而,血脂异常等级仅在女性中是一个重要的预测指标。

结论

我们发现两种性别的四个子类表明男性和女性的 MetS 潜类模式相同。然而,MetS 亚类与 CVD 事件之间的关系因性别而异。这些结果表明,MetS 的病因涉及不止一种途径,需要重新考虑对每种成分给予相同的权重或在两种性别中使用相同的截止值。

更新日期:2021-05-27
down
wechat
bug