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作 者:蒲玉翠 梁聪 董乐 蒋丽芳 张佩 王蓉[1,2] PU Yucui;LIANG Cong;DONG Le;JIANG Lifang;ZHANG Pei;WANG Rong(School of Nursing,University of South China,Hunan 421001 China)
机构地区:[1]南华大学护理学院,湖南421001 [2]湖南省智慧优护工程研究中心 [3]南华大学-湖南省提灯医疗科技有限公司智慧护理研究生联合培养基地
出 处:《护理研究》2023年第10期1719-1723,共5页Chinese Nursing Research
基 金:2021年湖南省教育厅科学研究项目,编号:21C0297;2022年度湖南省社会科学成果评审委员会课题,编号:XSP22YBC034;2022年湖南省研究生科研创新项目,编号:CX20221032。
摘 要:目的:分析社区老年人抑郁症状影响因素及其拐点年龄。方法:采用随机抽样法选取衡阳市某社区1326名老年人作为研究对象,采用一般资料调查表、简版老年人抑郁量表对老年人进行调查,使用受试者工作特征(ROC)曲线预测老年人抑郁症状拐点年龄,构建Logistic回归模型验证拐点年龄对抑郁症状的预测能力。结果:社区老年人抑郁症状发生率为36.80%,ROC曲线分析结果显示,社区老年人抑郁症状的整体拐点年龄为74.5岁,女性(71.5岁)早于男性(75.5岁)。Logistic回归分析结果显示,独居老年人[OR=1.712,95%CI(1.151,2.547)]、专科及以上文化程度的老年人[OR=1.847,95%CI(1.177,2.900)]、务农老年人[OR=2.180,95%CI(1.326,3.583)]、无配偶的老年人[OR=1.379,95%CI(1.003,1.895)]、无医保老年人[OR=0.463,95%CI(0.270,0.797)]出现抑郁症状的风险较高。结论:年龄对社区老年人抑郁症状具有较高预测价值。无医保、独居、专科及以上文化程度、务农、无配偶的老年人是重点关注对象。Objective:To analyze the influencing factors and inflection point age of depression symptoms among elderly in community.Methods:1326 elderly from a community in Hengyang city were selected as research subjects by random sampling method.A general information questionnaire and Geriatric Depression Scale-15 were used to investigate the elderly.The receiver operator characteristic(ROC)curve was used to predict inflection point age of depression symptoms among elderly.Logistic regression model was constructed to verify the predictive ability of inflection point age of depression symptoms.Results:The incidence rate of depression symptoms among elderly in community was 36.80%.The ROC curve analysis showed that the overall inflection point age of depressive symptoms in the elderly in the community was 74.5 years,of which women(71.5 years)were earlier than men(75.5 years).The results of Logistic regression analysis showed that elderly living alone[OR=1.712,95%CI(1.151,2.547)],elderly with college degree or above[OR=1.847,95%CI(1.177,2.900)],farmers[OR=2.180,95%CI(1.326,3.583)],and elderly without spouse[OR=1.379,95%CI(1.003,1.895)],elderly without medical insurance[OR=0.463,95%CI(0.270,0.797)]had higher risk of developing depression symptoms.Conclusions:Age has higher predictive value for depression symptoms among elderly in the community.Elderly who have not medical insurance,live alone,with college degree or above,farmers,or have not spouse are the key targets of attention.
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