Liu Aihong, Peng Yingjie, Zhu Wenli, Zhang Yanling, Ge Shihui, Zhou Yun, Zhang Kemeng, Wang Zhaohui, He Ping
Department of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Front Aging Neurosci. 2021 Nov 12;13:743193. doi: 10.3389/fnagi.2021.743193. eCollection 2021.
This study aimed to identify the independent factors associated with depression in community-dwelling older adults in Wuhan, China. Four hundred and seventy older adults (aged ≥65 years) from four communities dwelling on Junshan Street in Wuhan, China were included in this study. Participants completed a questionnaire that asked questions pertaining to age, gender, educational level, income, living situation, care situation, social support, and social engagement. The 30-item Geriatric Depression Scale (GDS-30), the Fried frailty phenotype scale, the activities of daily living (ADL) scale, the mini nutritional assessment scale-short form (MNA-SF), and the Mini-cog scale were used to assess depression, frailty, self-care ability, malnutritional risk, and cognitive dysfunction, respectively. Differences in age, gender, educational level, income, living situation, care situation, social support, social engagement, ADL score, risk of malnutrition, frailty, and cognitive dysfunction between the non-depression (GDS-30 score <10 points) and depression groups (GDS-30 score ≥10 points) were compared using a chi-square test. Moreover, correlations between factors and depression were analyzed using Pearson's correlation. Then, significant variables ( < 0.05) from the chi-square test were included in a multivariable logistic regression model to identify the independent factors associated with depression. The incidence of depression among the participants was 14.04%. Age ( < 0.001), educational level ( < 0.001), living situation ( < 0.001), social support ( = 0.001), ADL score ( = 0.023), frailty ( < 0.001), and cognitive dysfunction ( < 0.001) were all significantly associated with depression, in which age, poor social support, frailty, and cognitive dysfunction were identified as independent factors. Improving social support and effective interventions for frailty and cognitive dysfunction may help relieve depression in community-dwelling older adults.
本研究旨在确定中国武汉社区居住老年人中与抑郁症相关的独立因素。本研究纳入了来自中国武汉军山街四个社区的470名老年人（年龄≥65岁）。参与者完成了一份问卷，该问卷询问了有关年龄、性别、教育程度、收入、生活状况、护理状况、社会支持和社会参与的问题。分别使用30项老年抑郁量表（GDS-30）、弗里德衰弱表型量表、日常生活活动（ADL）量表、微型营养评定量表简表（MNA-SF）和简易认知量表来评估抑郁、衰弱、自我护理能力、营养不良风险和认知功能障碍。使用卡方检验比较非抑郁组（GDS-30评分<10分）和抑郁组（GDS-30评分≥10分）在年龄、性别、教育程度、收入、生活状况、护理状况、社会支持、社会参与、ADL评分、营养不良风险、衰弱和认知功能障碍方面的差异。此外，使用Pearson相关性分析各因素与抑郁之间的相关性。然后，将卡方检验中具有统计学意义的变量（<0.05）纳入多变量逻辑回归模型，以确定与抑郁症相关的独立因素。参与者中抑郁症的发病率为14.04%。年龄（<0.001）、教育程度（<0.001）、生活状况（<0.001）、社会支持（=0.001）、ADL评分（=0.023）、衰弱（<0.001）和认知功能障碍（<0.001）均与抑郁症显著相关，其中年龄、社会支持不足、衰弱和认知功能障碍被确定为独立因素。改善社会支持以及对衰弱和认知功能障碍进行有效干预可能有助于缓解社区居住老年人的抑郁症状。
