人类测量指数和糖尿病疾病:基于拉夫桑扬队列研究
Fatemeh Ayoobi1, Fatemeh Ranjbarhasanabadi2, Parvin Khalili3,4
1Occupational Safety and Health Research Center, NICICO, World Safety Organization and Rafsanjan University of Medical Sciences, Rafsanjan, Iran.
International journal of preventive medicine
|August 22, 2025
概括
腰与部的比率 (WHR) 和腰与身高的比率 (WHtR) 是2型糖尿病 (T2DM) 风险的强有力的预测指标. 腰围 (WC) 显示出最弱的关联,表明T2DM人体指标的预测能力不同.
科学领域:
- 内分泌学
- 公共卫生
- 流行病学
背景情况:
- 关于类型2糖尿病 (T2DM) 风险的人类指数预测能力存在不一致的发现.
- 本研究通过对Rafsanjan队列研究中的人类学指标和T2DM进行检查来解决这些不一致性.
研究的目的:
- 调查各种人类学指标与T2DM发展风险之间的关系.
- 确定在受研究人群中预测T2DM的最有效和最不有效的人类指数.
主要方法:
- 一项涉及伊朗Rafsanjan队列研究 (RCS) 的9895名年龄在35-70岁的成年人的横截面研究.
- 通过禁食血糖水平> 126 mg/ dL或使用降血糖药物来定义T2DM.
- 对T2DM/糖尿病前期状况进行了分析,包括腰与的比率 (WHR),腰与身高的比率 (WHtR) 和腰围 (WC).
主要成果:
- 大约23%的参与者患有T2DM,35%患有糖尿病前期.
- 经过对混因子进行调整后,WHR (OR=3.25) 和WHtR (OR=2. 90) 的最高四分位数与T2DM概率的增加显著相关.
- 超重,肥胖和异常的血清也与较高的T2DM概率有关.
结论:
- 在这一群体中,WHR是T2DM风险预测的最强的人类指标.
- 与其他指数相比,WC与T2DM风险的关联最弱.
- 这些发现突出了T2DM人体测量的差异性预测值.
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