在丹麦使用住宅位置数据建模痴呆症的空间风险模式:基于登记册的国家队列
Prince M Amegbor1, Clive E Sabel2, Laust H Mortensen3
1School of Global Public Health, New York University, NY 10003, USA; Big Data Centre for Environment and Health (BERTHA), Aarhus University, Frederiksborgvej 399, DK-4000 Roskilde, Denmark; Denmark Statistics, Copenhagen, Denmark.
Spatial and spatio-temporal epidemiology
|June 14, 2024
概括
这项研究揭示了丹麦痴呆风险的独特空间模式,确定了高风险地区. 了解地理因素对于解决老年人口痴呆症至关重要.
科学领域:
- 流行病学 流行病学
- 老年学是一门学科.
- 公共卫生 公共卫生
背景情况:
- 痴呆症对全球健康构成重大挑战,特别是对老年人来说,对其空间风险模式的理解有限.
- 现有的研究往往侧重于风险因素和护理,忽视了痴呆症发病率的地理分布.
研究的目的:
- 调查丹麦各地痴呆症的空间风险模式.
- 确定患有痴呆症患病率较高的地理区域.
- 探索居住历史和社会经济因素对痴呆风险的影响.
主要方法:
- 使用贝叶斯空间建模与随机局部微分方程 (SPDE) 方法.
- 分析了来自丹麦人口和健康登记册的完整居住历史数据.
- 包括从2005年到2018年年龄在65岁以上的160万个人的队列.
主要成果:
- 创建了一个空间风险地图,突出显示了哥本哈根,南尤特兰和芬兰的高风险地区.
- 发现个人社会经济因素和人口密度调节高风险模式.
- 在丹麦,痴呆风险存在显著的地理差异.
结论:
- 居住地是影响老年人口痴呆症易感性的关键因素.
- 该研究强调需要在痴呆症研究和公共卫生战略中考虑空间流行病学.
- 调查结果要求在确定的高风险地理区域进行有针对性的干预.
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