自我报告的睡眠时间和失眠症状在2型糖尿病预测中的临床有用性
Alison K Wright1,2, Tianyi Huang3,4, Matthew J Carr5
1Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, University of Manchester, Manchester, UK. alison.wright@manchester.ac.uk.
Diabetologia
|August 2, 2025
概括
自我报告的睡眠特征,如持续时间和失眠,与2型糖尿病风险有关. 然而,这些睡眠因素并不能改善2型糖尿病 (T2D) 的预测模型.
科学领域:
- 内分泌学 在内分泌学.
- 睡眠医学 睡眠医学
- 流行病学 流行病学
背景情况:
- 低于最佳的睡眠健康是患2型糖尿病 (T2D) 的已知危险因素.
- 现有的T2D风险预测模型可能无法完全捕捉与睡眠障碍相关的风险.
研究的目的:
- 评估将自我报告的睡眠特征纳入已建立的T2D风险预测模型的临床实用性.
- 为了确定睡眠时间和失眠症状是否会提高T2D风险预测的准确性.
主要方法:
- 利用Cox比例危险模型与英国生物库数据分析睡眠特征和T2D事件之间的关联.
- 使用哈雷尔的C统计和净重新分类改进 (NRI) 评估预测效用.
- 在独立队列中验证的结果:护士健康研究,NHS II和卫生专业人员后续研究.
主要成果:
- 极端睡眠持续时间和失眠症状都与增加T2D风险相关.
- 将睡眠特征添加到QDiabetes风险得分并没有显著改善T2D预测 (C-统计数据保持稳定).
- 包括T2D多基因风险评分 (PGS) 在预测中提供了边际改善,独立于睡眠特征.
结论:
- 自我报告的睡眠持续时间和失眠症状虽然与T2D风险相关,但并没有超越现有模型的临床预测.
- 多基因风险评分在T2D风险预测方面提供了适度的改善,但需要进一步验证以获得明确的临床效用.
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