使用基于排名的方法和曼尼托巴省基于人口的BMD注册表来估计骨质疏松症的患病率
Sedigheh Omidvar1, Mohammad Jafari Jozani2, Nader Nematollahi3
1Department of Statistics, Allameh Tabataba'i University, Tehran, Iran.
Journal of applied statistics
|September 9, 2024
概括
基于等级的抽样方法提供了一种经济高效的方法,用于估计50岁以上女性的骨质疏松症患病率. 这些技术利用曼尼托巴骨矿物质密度 (BMD) 登记册有效监测骨脆弱性和骨折风险.
科学领域:
- 老年学是一门学科.
- 公共卫生 公共卫生
- 生物统计学 生物统计学
背景情况:
- 骨质疏松症是一种普遍的代谢性骨疾病,其特点是骨矿物质密度 (BMD) 低和微观结构恶化.
- 它显著增加了骨脆弱性和骨折风险,特别是在50岁以上的女性中.
- 早期诊断和治疗对于减少与可预防骨折相关的发病率,死亡率和经济负担至关重要.
研究的目的:
- 开发和评估新的排列式采样方法,以估计骨质疏松症的患病率.
- 将这些方法与传统的简单随机和分层抽样设计进行比较.
- 将抽样和排名成本纳入成本效益分析.
主要方法:
- 使用了全面的曼尼托巴BMD注册表,这是世界上最大的基于人口的注册表.
- 开发了使用有限混合模型的参数方法.
- 在完美和不完美的排名场景下应用排名集采样设计.
主要成果:
- 基于排名的方法证明了其作为骨质疏松症流行率估计的成本高效工具的潜力.
- 这项研究分析了超过16万次骨损伤评估的数据,包括骨折结果.
- 参数和传统的抽样方法在各种排名条件下进行了比较.
结论:
- 排列采样设计为监测大量人群中骨质疏松症患病率提供了具有成本效益的替代方案.
- 这些方法对于针对老年妇女骨健康的公共卫生倡议有价值.
- 曼尼托巴骨质疏松症注册表是骨质疏松症流行病学研究的关键资源.
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