【摘要】 目的 探讨老年人抑郁症状的影响因素，构建风险预测模型。方法 本研究采用便利抽样法，于2023年12月至2024年2月，选取安徽省1 283名老年人，采用面对面收集资料的方法，通过单因素分析和多因素Logistic回归分析老年人抑郁症状的危险因素，构建风险预测模型，并对模型进行内部验证。结果 口腔衰弱(OR=2.762)、营养不良(OR=3.894)、社会隔离(OR=2.242)、慢性病(OR=1.451)、近两年手术次数1次(OR=1.422)、近两年手术次数2次以上(OR=2.836),无伴侣(OR=2.836)是老年人抑郁症状的危险因素。构建的模型具有较好的准确度(χ~2=4.947,P=0.763)和良好的区分度，决策曲线在有效范围内，模型具有实用性。结论 老年人抑郁症状风险预测模型具有科学性和实用性，为医护人员早期识别老年人抑郁症状发生及尽早制定干预措施提供科学依据。更多还原

【Abstract】 Objective To explore the inf luencing factors of depression in the elderly and to build a risk prediction model.Methods From January 2023 to January 2024,1,283 elderly people in Anhui Province were selected, face-to-face data collection method was used to analyze the influencing factors of depression in elderly people by univariate analysis and multivariate Logistic regression.The risk prediction model was constructed and internally verified.Results Oral weakness(OR=2.762),malnutrition(OR=3.894),social isolation(OR=2.242),chronic disease(OR=1.451),number of operations in the past two years(OR=2.836),and no partner(OR=2.836). Is a risk factor for depression in older adults.The constructed model has good accuracy(χ~2 = 4.947, P=0.763) and good differentiation, the decision curve is in the effective range, and the model is practical.Conclusion The prediction model of depression risk in the elderly is scientific and practical, which can provide a scientific basis for health care workers to identify the occurrence of depression in the elderly and formulate intervention measures as soon as possible.更多还原