Abstract:Objective To discuss the mental health status of the elderly in Wanshoulu Street, Beijing, and to analyze the factors that affect their mental health. Methods A cluster sampling method was used to select 435 elderly people (≥80 years old) in Wanshoulu Community, Beijing from February 2019 to February 2020 as the survey subjects, and the symptom check list 90 (SCL-90) was used to assess the psychological status of the elderly, while the influencing factors of the mental health of the elderly were analyzed. Results Among the 435 cases of elderly people, 85 cases (with mental health problems) were detected by SCL-90, accounting for 19.54%. Among the 10 factors, the highest positive detection rate was somatization (40.92%), and the positive detection rates of others (reflecting sleep and diet), obsessive-compulsive symptoms and depression were 25.52%, 23.91% and 23.45%, respectively. Single factor analysis showed that the differences in gender, body mass index (BMI), education level, family per capita annual income, self-evaluation of family economic status, living situation, family relations, and combined with chronic underlying disease between different mental health status of the elderly with chronic underlying diseases were statistically significant (P < 0.05). The multivariate binary logistic stepwise regression model showed that BMI>24.0 kg/m2 (OR = 0.619), low education level (OR = 10.262), average family economy (OR = 0.401), average family relationship (OR = 0.418) and combined the types of chronic underlying diseases>2 (OR = 0.899) were risk factors affecting the mental health of the elderly (P < 0.05). Conclusion The mental health of the elderly is mainly affected by BMI, education level, family economic status, family relationship and combined chronic underlying diseases.
宋文娟 张小冯 张艳君. 北京市高龄老年人的心理健康状况及其影响因素分析[J]. 中国医药导报, 2021, 18(2): 44-47.
SONG Wenjuan ZHAGN Xiaofeng ZHANG Yanjun. Analysis of the mental health status and its influencing factors of the elderly in Beijing. 中国医药导报, 2021, 18(2): 44-47.
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