在瑞士队列中使用隐性类分析探索2型糖尿病发病率的性别差异:一个交叉方法
Jeanne Marie Barbier1,2, Michael Amiguet1, Julien Vaucher2,3
1Department of Ambulatory Care, Unisanté, Lausanne, Vaud, Switzerland.
BMJ public health
|February 28, 2025
概括
交叉的社会地位显著影响2型糖尿病的风险,女性的个人资料显示的风险高于男性. 传统的性别分层分析不能完全捕捉这些累积效应.
科学领域:
- 社会流行病学 社会流行病学
- 公共卫生 公共卫生
- 内分泌学 在内分泌学.
背景情况:
- 2型糖尿病的发展受多因素决定因素的影响,包括与性别相关的变量和社会经济因素.
- 了解这些因素的交叉关系对于准确的风险预测至关重要.
- 仅仅行政性别可能并不完全代表个人的健康风险.
研究的目的:
- 检查交叉社会地位在预测2型糖尿病中的作用.
- 区分交叉社会地位的影响与行政性.
- 为了确定特定的社会群体与2型糖尿病的不同风险.
主要方法:
- 隐性类分析用于来自CoLaus下载PsyCoLaus前性队列研究 (N=3409) 的数据.
- 分析了与性别相关的变量和社会经济决定因素,以形成交叉的社会地位类.
- 在平均14.5年的随访期间,这些类别与发生型2糖尿病之间的关联得到了测试.
主要成果:
- 确定了七个不同的交叉社会地位阶级.
- 除了"年轻,健康,受过教育的男性"之外,所有确定的类别都显示出患2型糖尿病的风险更高 (ORs 4.22-13.47).
- 与男性类相比,占主导地位的女性类显示出更不利的社会地位和糖尿病风险增加.
结论:
- 行为和社会经济因素的累积交叉效应影响2型糖尿病风险.
- 女性的性别概况与2型糖尿病风险的有害影响有关.
- 传统的性别分层分析不足以捕捉导致2型糖尿病的因素的复杂相互作用.
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