随着社会老龄化的加剧，多病共患问题在人群中日益凸显，其与口腔健康的关联也逐渐受到关注。口腔健康是多病共患的良好预测指标，本文就两者关联研究的进展及使用的统计方法进行综述，以期明确进一步研究方向。目前，国内对口腔健康与多病共患的关联性关注较少。在研究内容上，现有研究多关注口腔健康与全身单一疾病或多病共患计数的关联，尚未建立多病共患共识，未深入探讨口腔健康与多病共患的模式关联。统计方法上，研究大都基于回归分析或Logistic回归，科学和前沿的统计分析方法使用较少。进一步研究应建立多病共患的共识，尝试采用聚类分析等方法探讨多病共患模式与口腔健康的关联，进一步使用机器学习和深度学习等技术深入探讨口腔健康与多病共患的关联，分析其发病机制，并为制定围绕口腔健康的综合干预措施提供循证依据。

With the development of aging, multimorbidity has become increasingly prominent, and its association with oral health has gradually attracted attention. Oral health is a good predictor of multimorbidity. This paper aims to review the research progress based on the association and statistical methods, and clarify further research emphasis. Compared with studies abroad, Chinese researchers pay insufficient attention to the association between oral health and multimorbidity. Regarding research content, current research focuses on simple association between oral health and multimorbidity, and has not yet established a consensus on multimorbidity, nor explored an in-depth association between oral health and multimorbidity. As to statistical methods, the majority research is based on regression analysis or logistic regression, and less is used for cutting-edge statistical analysis methods. In the future, it is necessary to establish a consensus on multimorbidity, use clustering or other methods to explore the multimorbidity, further use cutting-edge machine learning and deep learning technologies to explore the association between oral health and multimorbidity, analyze its pathogenesis, and provide an evidence-based basis for the formulation of oral-centered interventions.