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早期预防肥胖 (OPEL) 研究:将纵向数据链接起来,以捕捉在前1000天的肥胖风险
Erika R Cheng1, Sami Gharbi1, Tammie L Nelson1
1Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana, USA.
BMJ nutrition, prevention & health
|July 5, 2024
概括
早期生命中预防肥胖 (OPEL) 数据库将临床数据与出生记录和社区因素联系起来. 本资源支持婴儿肥胖风险预测和儿童健康结果研究.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 生物统计学 生物统计学
背景情况:
- 开发准确的婴儿肥胖风险预测模型需要全面的数据.
- 现有的数据源往往缺乏综合的多层次信息.
- 纵向,基于人口的数据对于了解早期生活对健康结果的影响至关重要.
研究的目的:
- 描述早期生命中预防肥胖 (OPEL) 数据库的创建.
- 详细介绍各种行政和临床数据的联系方法.
- 突出OPEL数据库在儿童健康研究中的潜力.
主要方法:
- 链接的临床数据,出生证明和地理编码的区域级指标.
- 在印第安纳州马里昂县 (2004-2019) 出生的19437名儿童的基于人口的队列.
- 方法专注于行政数据链接和数据库建立.
主要成果:
- 建立了早期生命中预防肥胖 (OPEL) 数据库.
- 该数据库整合了儿童健康结果,母亲的病史,社会人口统计和社区因素.
- 为纵向研究提供了一个强大的数据集.
结论:
- 欧佩尔数据库为婴儿肥胖研究提供了坚实的基础.
- 支持发展跨代链接的临床公共卫生数据库.
- 能够进行先进的纵向儿童健康结果研究.
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