伦敦街区的精神病流行;空间混的一个案例研究
1School of Geography, QMUL, London E1 4NS, UK.
Spatial and spatio-temporal epidemiology
|February 14, 2024
概括
由于空间混,标准疾病映射可能会误解邻里对心理健康的影响. 对此进行调整,发现区域风险因素对伦敦精神病患病率的不同影响.
科学领域:
- 流行病学 流行病学
- 空间分析是一种空间分析.
- 心理健康研究 心理健康研究
背景情况:
- 疾病映射通常使用随机效应来总结未被观察到的邻里影响.
- 这些随机效应可以与观察到的预测因素相混,特别是那些具有空间模式的预测因素.
- 这可能导致在生态健康研究中得出不准确的结论.
研究的目的:
- 为了比较标准的疾病映射与考虑空间混的方法.
- 为了分析伦敦街区的精神病患病率,考虑区域级的风险因素.
- 调查空间混对邻居对心理健康影响的解释的影响.
主要方法:
- 利用一种疾病映射方法.
- 将标准模型与旨在调整空间混的方法进行比较.
- 分析了伦敦街区的精神病患病率数据.
- 包括地区贫困,种族,绿地和社会分裂作为风险因素.
主要成果:
- 标准疾病映射模型显示了空间混的显著证据.
- 区域风险因素和精神病流行率之间的观察到的关系发生了变化.
- 与预期相比,关于邻近因素影响的推断被取消或方向逆转.
结论:
- 空间混可以大大扭曲使用疾病映射的社区健康研究的结果.
- 标准疾病映射可能会产生误导性的结果,关于区域级风险因素对心理健康的影响.
- 分析地理健康模式的生态研究应该经常考虑和调整空间混.
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