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Analysis Of Depression And Its Influencing Factors In Middle And Old People

Posted on:2020-10-16Degree:MasterType:Thesis
Country:ChinaCandidate:Y SuFull Text:PDF
GTID:2404330578951075Subject:Applied statistics
Abstract/Summary:PDF Full Text Request
According to the sixth national census,the number of people over the age of 45 reached 33.24 percent,while the number of people over the age of 60 reached 13.31 percent in 2010.According to the international practice for a country or region into the aging society to judge the standard,China has entered the aging society,and has the largest population of middle-aged and elderly people in the world.With the aging of the population and the prevalence of chronic diseases,the health problems of the middle-aged and the elderly have attracted widespread attention.The existing studies mainly focus on the self-assessment of health status and physical health of the middle-aged and the elderly.However,as one of the most common mental health problems among middle-aged and elderly people,depression has an important impact on their quality of life,life ability and life experience.The occurrence of depression will not only seriously reduce the happiness and satisfaction of middle-aged and elderly people,but also bring heavy burden to families and even the society.Therefore,depression of middle-aged and elderly people has become an important public health problem in China.This article through studies the influence of different factors on the elderly depression status,under the condition of urban and rural and the influence factors of the elderly depression in comparative analysis,puts forward targeted improvement suggestions,put forward about the elderly health management policies and measures to reduce the depression status of the elderly and improve the quality of the elderly in later life,promote healthy Chinese goal eventually has a certain realistic meanings and reference value.Meanwhile,it also has certain reference value and practical significance to promote the ultimate realization of the health goal of China.In this study,the national survey data were used to break the limitations of existing studies in terms of research objects,and enrich the research results in the field of depression of middle-aged and elderly people in China,so it has certain theoretical significance.This paper selected middle-aged and elderly people over the age of 45 in China as research objects,and used Stata14.0 software and SPSS22.0 software for data processing and statistical analysis.Firstly,the general depression status of middle-aged and elderlypeople and the depression status under different classifications were analyzed.Secondly,the binary Logistic regression analysis method was used to make an empirical analysis on the influential factors of the depression of middle-aged and elderly people,and to study the degree of the influence of various influencing factors on the depression of middle-aged and elderly people.Finally,the factors affecting depression in middle-aged and elderly people in urban and rural conditions were compared and analyzed.The following conclusions are drawn:First,the current situation of depression in China's elderly is not optimistic,and more than 30% of them show different degrees of depression.The depression of the middle-aged and the elderly is mainly manifested in low expectation for the future,unpleasantness and sleep deprivation.Second,the influence of social and demographic factors on the depression of middle-aged and elderly people is mainly reflected in urban and rural conditions and gender.From the perspective of urban-rural differences,the incidence of depression among urban middle-aged and elderly people is lower than that in rural areas.From the perspective of gender difference,the incidence of depression in middle-aged and elderly women is higher than that in men.Third,the subjective factors on the elderly depression mainly reflected in the self-assessment of health status and overall life satisfaction.The better the self-rated health status was,the lower the incidence of depression was.In addition,middle-aged and elderly people with higher subjective life satisfaction were less likely to suffer from depression.Fourth,individual factors play an important role in the depression of middle-aged and elderly people.The results of this study indicate that physical dysfunction,incomplete self-care ability and chronic disease are all risk factors for depression state of middle-aged and elderly people.In addition,sleep duration is one of the physical conditions,lack of sleep or sleep disorders can also increase the probability of depression.Fifth,the influence of family factors on depression is mainly reflected in living conditions and financial assets.The results of this study indicate that the probability of depression of middle-aged and elderly people living alone is higher than that ofmiddle-aged and elderly people not living alone.In addition,the financial assets owned by middle-aged and elderly people are negatively correlated with the probability of depression.Sixth,the influence of social factors on depression is mainly reflected in whether they have access to community medical services and whether they have pension insurance.The results of this study indicate that access to community medical services is a risk factor for depression in middle-aged and elderly people,while having endowment insurance is a protective factor for depression in middle-aged and elderly people.Seventh,by comparing the regression results of the rural model and the urban model,it is found that there are some differences in the influencing factors of depression in the middle-aged and elderly under the rural and urban conditions.Compared with urban areas,the depression status of middle-aged and elderly people in rural areas is affected by a wider range of factors.In addition to several significant variables shown in the overall model,education level,job status and social activities in the rural model are also correlated with depression status to some extent.
Keywords/Search Tags:Middle-aged and elderly, Depression status, Logistic regression, Differences between urban and rural areas
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