[基于中国Kadoorie生物银行的多来源数据对2型糖尿病发病率的比较分析]
W Q Wang1, Y Q Zhang1, C Q Yu2
1Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi
|January 21, 2026
概括
整合多个数据源显著改善了中国成年人2型糖尿病病例的识别. 将现场调查与医疗保健数据库相结合,可以比单个来源更准确地估计糖尿病发病率.
科学领域:
- 流行病学 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型糖尿病是中国日益严重的公共卫生问题.
- 准确的发病率估计对于有效的预防和管理策略至关重要.
- 之前的研究依赖于单个数据源,可能导致低估.
研究的目的:
- 为了估计中国成年人2型糖尿病的发病率.
- 评估不同数据源对发病率估计的影响.
- 分析这些差异在不同人口子组之间的一致性.
主要方法:
- 利用了中国Kadoorie生物库第二次和第三次复苏调查的数据 (每次n > 23,000).
- 通过实地调查 (问卷 + 血糖检测),自我报告和医疗保健数据库链接,确定了新的2型糖尿病病例.
- 计算了年龄标准化的发病率,并使用了通用线性混合效应模型来比较数据源.
主要成果:
- 根据数据来源,原始发病率差异很大,现场调查给出了更高的估计值 (例如,第二次重复调查的8.4/1000人年).
- 根据年龄标准化的发病率在使用现场调查数据的再调查 (7.6和7.4/1000人年) 之间是一致的.
- 实地调查与医疗保健数据库链接 (IRR) 的比率从3.27下降到1.46,这表明随着时间的推移病例识别得到了改善,但仍显示某些子组的数据库低估.
结论:
- 整合多个来源的医疗保健数据大大改善了大队伍中新型2型糖尿病病例的识别.
- 依赖单一的数据源,特别是仅仅是医疗保健数据库,可能会导致严重低估2型糖尿病发病率.
- 这些发现强调了多模式数据收集对于中国2型糖尿病的精确流行病学监测的重要性.
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