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目的:了解养老机构老年人衰弱现状并分析其影响因素。方法:本研究为横断面研究。采取便利抽样方法，选取2019年4—10月长沙市6所养老机构的266名老年人，采用一般资料问卷、中文版Tilburg衰弱量表、简易智能状态量表、匹兹堡睡眠质量指数量表、UCLA孤独量表、老年抑郁评定量表、社会支持评定量表对其进行调查。采用多重线性回归对老年人衰弱的影响因素进行分析。结果:共发放问卷266份，回收有效问卷265份。养老机构老年人的衰弱得分为（6.97±3.64）分，衰弱检出率为59.2%（157/265）。单因素分析结果显示，不同文化程度、养老机构性质、退休收入、跌倒次数、体重分级、体育活动、智能训练、社会活动、自评健康状况的老年人衰弱总分差异有统计学意义（n F/t值分别为24.541、2.265、17.404、15.311、4.193、35.574、21.376、6.957、53.135；n P<0.05）。相关性分析结果显示，睡眠质量、孤独感、抑郁与衰弱及其各维度呈正相关（n P<0.01），认知功能、社会支持与衰弱及其各维度呈负相关（n P<0.01）。多重线性回归分析结果显示，跌倒次数、自评健康状况、抑郁得分、孤独感得分能正向预测整体衰弱得分（标准化回归系数分别为0.112、0.171、0.280、0.241；n P<0.01），体育活动、认知功能得分能负向预测整体衰弱得分（标准化回归系数分别为-0.165、-0.174；n P<0.01）。n 结论:养老机构老年人衰弱现状不容乐观，养老机构需完善老年人衰弱的评估，对高危老年人进行早期干预，以延缓衰弱进程。“,”Objective:To understand the frailty status of the elderly in nursing homes and analyze its influencing factors.Methods:This study is a cross-sectional study. Using the convenient sampling method, a total of 266 elderly people in 6 nursing homes in Changsha city were selected from April to October 2019. General information questionnaire, Chinese version of Tilburg Frailty Scale, Mini-Mental State Examination (MMSE) , Pittsburgh Quality Index (PSQI) , UCLA Loneliness Scale, Geriatric Depression Scale (GDS-5) and Social Support Rating Scale (SSRS) were used to investigate. Multiple linear regression was used to analyze the influential factors of frailty in the elderly.Results:Totally 266 questionnaires were distrionted, and 265 questionnaires were valid. The frailty score of the elderly in nursing homes was (6.97±3.64) and the detection rate of frailty was 59.2% (157/265) . The results of single factor analysis showed that there were statistically significant differences in the total frailty scores of elderly people with different education levels, nature of nursing homes, retirement income, number of falls, weight category, physical activities, intelligent training, social activities and self-rated health status (n F/t=24.541, 2.265, 17.404, 15.311, 4.193, 35.574, 21.376, 6.957, 53.135; n P<0.05) . The results of correlation analysis showed that sleep quality, loneliness and depression were positively correlated with frailty and its dimensions (n P<0.01) , while cognitive function and social support were negatively correlated with frailty and its dimensions (n P<0.01) . The results of multiple linear regression analysis showed that the number of falls, self-rated health status, depression score and loneliness score could positively predict the overall frailty score (standardized regression coefficients were 0.112, 0.171, 0.280, 0.241;n P<0.01) , while physical activity, cognitive function score could negatively predict overall frailty scores (standardized regression coefficients were -0.165, -0.174;n P<0.01) .n Conclusions:The current status of frailty of the elderly in nursing homes is not optimistic. The elderly need to improve the evaluation of elderly frailty and carry out early intervention for high-risk elderly people to delay the process of frailty.