使用网络分析和关联规则的爱尔兰成年人老龄化和没有智力障碍的多病症模式:使用来自爱尔兰老龄化纵向研究 (IDS-TILDA) 的智力障碍补充的数据进行比较分析
Caitríona Ryan1,2,3, Belinda Hernández4, Eilish Burke3,5
1Trinity College Dublin Biostatistics Unit, Discipline of Public Health and Primary Care, School of Medicine, Trinity College Dublin, Dublin, Ireland.
Journal of intellectual disabilities : JOID
|November 3, 2025
概括
这项研究可视化了爱尔兰智力障碍的老年人多病症模式. 它揭示了常见疾病如何聚集在一起,为性别特定的健康状况提供了洞察力.
科学领域:
- 老年学是一门学科.
- 公共卫生 公共卫生
- 流行病学 流行病学
背景情况:
- 人口老龄化带来了复杂的健康挑战.
- 智力障碍可以影响健康轨迹.
- 了解多病症对于有效的医疗保健至关重要.
研究的目的:
- 量化和可视化爱尔兰智力障碍的老年人多病症.
- 为了确定共同发生的疾病的性别特异性模式.
- 为了将这些模式与一般老龄化人口进行比较.
主要方法:
- 利用了爱尔兰老龄化纵向研究 (IDS-TILDA) 的智力障碍补充中的数据.
- 采用网络建模和关联规则来分析疾病的同时发生.
- 结果与爱尔兰长度老龄化研究 (TILDA) 的现有数据进行了比较.
主要成果:
- 智力障碍男性和女性多病发病率的详细可视化.
- 确定了常见的疾病对和三元组.
- 与一般人群相比,疾病聚类的突出差异和相似之处.
结论:
- 在智力障碍的老年人中,多种疾病模式是不同的.
- 性别分析对于了解疾病关联至关重要.
- 调查结果为此群体提供了针对性的健康干预措施.
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