孕期糖尿病患病率估计来自三个数据来源,2018年
Michele L F Bolduc1, Carla I Mercado2, Yan Zhang3
1Office of Health Equity, Centers for Disease Control and Prevention (CDC), 2877 Brandywine Road, Atlanta, GA, 30341, USA. qdt5@cdc.gov.
Maternal and child health journal
|May 29, 2024
概括
在2018年,孕期糖尿病 (GDM) 患病率估计在美国三个主要监测系统中有所不同. 了解这些差异对于识别具有更高GDM风险的人群和地点至关重要.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 卫生监测 卫生监测
背景情况:
- 研究了2018年妊娠糖尿病 (GDM) 患病率估计,使用三个不同的监测系统:国家生命统计系统,州住院患者数据库和怀孕风险评估监测调查.
- 在这些系统中检查了GDM流行报告的变化.
研究的目的:
- 为了比较来自不同数据源的GDM患病率估计.
- 识别GDM监控数据中的潜在偏差或差异.
- 为研究人员提供有关选择适合GDM风险评估的数据系统的信息.
主要方法:
- 计算了每个系统内的所有代表司法管辖区的GDM流行率.
- 分析了22个一致的司法管辖区的18-39岁个人数据子集.
- 使用标准化类别比较特定数据集的人口统计数据和GDM流行率.
主要成果:
- 在三个数据系统中观察到GDM患病率估计的显著差异.
- 即使在分析数据子集中的可比人口群体时,流行率的差异仍然存在.
- 数据集的特定特征影响了GDM流行报告.
结论:
- GDM监控数据系统之间的差异会影响流行率估计.
- 了解这些系统特定变异对于准确识别GDM风险至关重要.
- 通过了解数据系统细微差别,研究人员可以更好地针对高风险人群和地理区域.
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