在老年人中识别功能性牙的亚型:基于人口的回归和潜在类分析
Linxin Jiang1,2, Simin Li1, Daniel R Reissmann2
1Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, Guangdong, China.
Clinical oral investigations
|November 3, 2025
概括
这项研究根据他们维持功能牙 (FD) 的可能性确定了两个不同的老年人群. 这些发现支持针对那些牙损失风险较高的人的有针对性的预防策略.
科学领域:
- 老年学是一门学科.
- 牙科公共卫生 牙科公共卫生
- 生物统计学 生物统计学
背景情况:
- 保持功能性牙 (FD) 对老年人的整体健康和生活质量至关重要.
- 识别特定的风险因素和人口子组对于有效的口腔健康干预措施至关重要.
研究的目的:
- 探索与老年人功能性牙 (FD) 相关的潜在因素.
- 量化这些因素在FD的不同概率水平上的聚类.
- 为了获得精确的预防策略来维持FD.
主要方法:
- 一项涉及423名65-74岁的中国成年人的横截面研究.
- 隐性类分析 (LCA) 用于根据相关因素识别不同的子组.
- 模型匹配是使用Akaike信息标准 (AIC),贝叶斯信息标准 (BIC) 和来确定的.
主要成果:
- 确定了两个类别:一个低概率组 (32.2%) 和一个高概率组 (67.8%) 功能牙.
- 低概率组的口腔卫生状况较差,知识水平较低,根和牙损失率较高.
- 路径评估模型表现出良好的稳定性和强大的预测性能.
结论:
- 隐性类分析成功地确定了具有不同功用牙概率的不同子组.
- 量化了相关因素,使得能够准确识别高风险人群.
- 这些发现支持制定针对性和精确的预防策略,以维护口腔健康.
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