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在中国人口中,两种新型人体测量方法与2型糖尿病之间的关联
Di Wang1, Ziting Chen1, Yinru Wu1
1Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China.
较高的圆度指数 (C指数) 和相对脂肪量 (RFM) 与患2型糖尿病 (T2DM) 的风险增加有关. 这些措施可以帮助在大型研究中确定患糖尿病风险的个体.
科学领域:
- 代谢健康和慢性疾病流行病学.
- 公共卫生和预防医学.
背景情况:
- 肥胖和中心脂肪是已知的2型糖尿病 (T2DM) 的风险因素.
- 像度指数 (C指数) 和相对脂肪量 (RFM) 这样的新型人体指数可能比传统措施提供更好的风险分层.
- 了解这些关联对于开发针对不同人群的有针对性的干预措施至关重要.
研究的目的:
- 检查度指数 (C指数) 和相对脂肪量 (RFM) 与2型糖尿病发病率 (T2DM) 之间的关系.
- 评估C指数和RFM作为中国成年人群中新发T2DM的预测指标的有用性.
主要方法:
- 一项前性后续研究,涉及中国深18岁以上的10,813名成年人 (2018-2022年).
- 参与者根据C指数和RFM被分为四分之一.
- 考克斯的比例危险模型被用来分析C指数,RFM和T2DM风险之间的关联,以多个混因素进行调整.
主要成果:
- 经过对混因素进行调整后,C指数和RFM都显示出与事件T2DM有显著的积极和独立关联.
- 在C指数较高的四分位数中的参与者显示T2DM风险增加 (Q3和Q4的HR:1.50-1.73).
- 较高的RFM四分位数与T2DM风险增加密切相关 (Q2-Q4的HR:1.94-4.91),表明了剂量-反应关系.
结论:
- 圆度指数 (C指数) 和相对脂肪量 (RFM) 是新发型2型糖尿病 (T2DM) 的强有力的预测指标.
- 在大规模的流行病学研究和临床环境中,这些人体指数可以作为有价值的工具来识别患糖尿病高风险的个体.
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