汉中社区老年人口腔衰弱风险关联性分析与列线图模型构建  

Association analysis of oral frailty risk in elderly people in Hanzhong community and construction of a nomogram model

作　　者：潘霞[1] 李琳 朱磊 代超 庞乐[5] Pan Xia;Li Lin;Zhu Lei;Dai Chao;Pang Le(Department of Oral Medicine Teaching and Research,Hanzhong Vocational and Technical College,Hanzhong 723002,China;Department of Stomatology,3201 Hospital,Hanzhong 723000,China;Department of Ophthalmology,3201 Hospital,Hanzhong 723000,China;Department of Stomatology,Affiliated Hospital of Hanzhong Vocational and Technical College,Hanzhong 723000,China;Department of Rehabilitation Medicine Teaching and Research,Hanzhong Vocational and Technical College,Hanzhong 723002,China)

机构地区：[1]汉中职业技术学院口腔教研室,汉中723002 [2]三二〇一医院口腔科,汉中723000 [3]三二〇一医院眼科,汉中723000 [4]汉中职业技术学院附属医院口腔科,汉中723000 [5]汉中职业技术学院康复教研室,汉中723002

出　　处：《中华口腔医学研究杂志(电子版)》2025年第1期25-32,共8页Chinese Journal of Stomatological Research(Electronic Edition)

基　　金：汉中职业技术学院提质培优行动计划项目(HZZYJY2021094)。

摘　　要：目的基于老年衰弱筛查量表(KCL)评分分析汉中社区老年人口腔衰弱风险的关联因素,并构建列线图模型,研究对汉中社区老年人口腔衰弱风险评估的准确性。方法对2024年5—7月汉中市3个社区的385名老年人进行了横断面调查,最终纳入179名符合条件的老年人。研究采用了便利抽样方法,以问卷调查的形式收集了参与者的一般情况、KCL评分,以及相关的生活习惯和健康状况信息。利用多因素Logistic回归分析确定口腔衰弱的影响因素,并基于这些因素构建列线图模型。采用R软件中的“rms”包进行模型的构建和可视化,通过受试者工作特征(ROC)曲线评估模型的效能,并使用校准曲线验证模型的准确性。结果研究发现年龄、独居、营养状况和糖尿病是口腔衰弱的独立影响因素(P<0.05)。构建的列线图模型在ROC曲线分析中显示出良好的效能,曲线下面积(AUC)为0.757,表明模型有助于评估汉中社区老年人口腔衰弱的风险。校准曲线显示模型评估风险与实际观察结果具有较好的一致性。结论本研究构建的基于KCL评分的列线图模型为评估汉中社区老年人口腔衰弱风险提供了一种有效工具。该模型直观地展示了不同因素组合对汉中社区老年人口腔衰弱风险的影响,有助于医疗保健提供者更有效地分配资源,针对这些风险因素进行干预。Objective The purpose of this study was to analyze the association between the Kihon checklist(KCL)score and the risk factors of oral frailty among elderly individuals in Hanzhong community,and to construct a nomogram model to study the accuracy of oral frailty risk assessment for elderly individuals in Hanzhong community.Methods A cross-sectional survey was conducted among 385 elderly individuals in three communities of Hanzhong City from May to July 2024,with 179 eligible elderly individuals finally included.The study used convenience sampling and collected data through questionnaires,including general information,KCL scores,and related lifestyle and health status information.Multivariate logistic regression analysis was used to determine the influencing factors of oral frailty,and a nomogram model was constructed based on these factors.The&quot;rms&quot;package in R software was used for model construction and visualization.The performance of the model was evaluated using the receiver operating characteristic(ROC)curve,and the accuracy of the model was verified using a calibration curve.Results The study found that age,living alone,nutritional status,and diabetes were independent influencing factors of oral frailty(P<0.05).The constructed nomogram model showed good performance in the ROC curve analysis,with an AUC of 0.757,indicating that the model was useful to assess the risk of oral frailty of the elderly in Hanzhong community.The calibration curve showed that the model&apos;s assessment of risk was in good agreement with the actual observed results.Conclusions The nomogram model constructed in this study,based on the KCL score,provided an effective tool for assessing the risk of oral frailty among the elderly individuals in Hanzhong community.The model intuitively demonstrated the impact of different factor combinations on the risk of oral frailty among the elderly individuals in Hanzhong community,helping healthcare providers to allocate resources more effectively and intervene on these risk factors.

关 键 词：口腔衰弱 列线图模型 老年人 老年衰弱筛查量表 汉中社区 

分 类 号：R181.3[医药卫生—流行病学] R78[医药卫生—公共卫生与预防医学]