| Background: With the acceleration of the process of population aging in China.It is estimated that by 2020,the number of elderly people over the age of 60 will increase to around 255 million,and the proportion of the total population will increase to about17.8% [1].With the bringing of the various social problems of how the elderly are healthy and old age.To this end,how to build a healthy aging is a major strategic issue to deal with the challenges of an aging society.Effective healthy aging requires the coordination of government,community,family and individual,and needs to mobilize all positive factors through social promotion,community implementation,and participation by the whole people.A powerful mechanism to achieve multi-party cooperation.At present,most scholars conduct research on how to realize the external realization of healthy aging,mainly focusing on social welfare protection,medical care,old-age education,pension model,and policies and regulations.These studies are undoubtedly also promoting healthy aging.Society has important reference value.However,how to promote the aging society from the internal realization path is less studied,especially the empirical study on the current situation of healthy aging from the perspective of social network.Objective:Through the evaluation of the social network stocks of the elderly under different old-age models in Anhui Province,we can understand the current status of the social network,the health status of the elderly and the status of the old-age model in the individual-aged mode,and explore the elderly in different pension modes.The differences in individual social networks and the differences in health status,discuss the impact of social networks on health under different pension patterns.Further discuss and explore the development and promotion of the social network stock of the elderly under different old-age models.In order to further promote the healthy retirement of the elderly under different old-age models,it provides an internal theoretical basis and a new practical basis for responding to the aging of the population and building a healthy and aging society.Methods: Through literature review,experts discuss and analyze the status quo of social network research at home and abroad,and develop the social network measurement questionnaire for the elderly.According to the level of economic development and geographical distribution,Anhui Province is divided into the areas of Wanzhong,Wanbei and Wannan.According to the random sampling method of the whole group,3 cities and 6 counties(districts)are selected as the investigation site,and267 institutions are aged and named.Questionnaires were conducted by elderly people with family pensions.Use Epi Data3.1 software to build database and data entry,use SPSS23.0 software to descriptive analysis of data,analysis of variance and regression analysisResults:(1)In this study,a total of 1447 elderly people were investigated and 1,375 valid questionnaires were obtained,and the effective response rate was 95%.Among them,482 people(35.2%)in Fuyang City,426 people(30.9%)in Tongling City,and467 people(33.9%)in Hefei City,and then based on the sample size of 267institutions’ old-age care model,according to the matching with the area where the old-age care institution is located.According to the standard,267 family elderly people were randomly selected as the control group.Therefore,the sample size of this study is 534 elderly people,and 267 elderly people in institutional pension and family pension.Among them,273 are males,accounting for 51.1%,261 are females,accounting for48.9%,the age range is 60-97 years old,230 urban household registrations,accounting for 43%,rural household registrations are 304,accounting for 57%,and party members are 67.It accounted for 12.5%,467 non-party members,accounting for 87.5%,396 people with a primary education level and below,accounting for 74.2%,and 138 people with junior high school and above,accounting for 25.8%.(2)The results of this study showed that there was a statistically significant difference in physical and mental health between the elderly and the elderly in the physical and mental health(P<0.01).(3))The results of this study show that,in terms of social networks,there is significant statistical significance in terms of network size,network tightness,strong relationship ratio,heterogeneity,and convergence in institutional pensioners and family pensioners(P<0.01)(4)Social network for the physical and mental health and physical health of the elderly in the elderly: There was a significant positive correlation between network size and physical health(OR=1.102,P<0.001),and network tightness was significantly positively correlated with physical health(OR=1.534,P < 0.001),strong relationship ratio and physical health were significantly positively correlated(OR = 1.262,P <0.001),age convergence and physical health were significantly positively correlated(OR = 0.846,P < 0.001),cultural degree convergence There was a significant positive correlation with physiological health(OR=1.157,P<0.001),gender heterogeneity was significantly positively correlated with physical health(OR=1.484,P<0.001),and age heterogeneity was significantly negatively correlated with physical health(OR=0.4964,P<0.001),political appearance heterogeneity was significantly negatively correlated with physical health(OR=0.521,P<0.001),and cultural heterogeneity was significantly positively correlated with physical health(OR=8.065,P< 0.001),occupational heterogeneity was significantly positively correlated with physical health(OR=3.075,P<0.001);mental health: network size was significantly positively correlated with mental health(OR=1.042,P<0.001),network tightness Significantly positively correlated with mental health(OR=1.455,P<0.001),strong relationship ratio and mental health were significantly negatively correlated(OR=0.731,P<0.001),gender convergence was significantly positively correlated with mental health(OR=1.777,P<0.001),cultural degree convergence and Mental health was significantly positively correlated(OR=1.943,P<0.001),political appearance was similarly negatively correlated with mental health(OR=0.389,P<0.001),gender heterogeneity was significantly negatively correlated with mental health(OR)=0.596,P<0.001),age heterogeneity was significantly negatively correlated with mental health(OR=0.977,P<0.001),and political heterogeneity was significantly negatively correlated with mental health(OR=1.838,P<0.001).There was a significant positive correlation between educational heterogeneity and mental health(OR=4.519,P<0.001),and occupational heterogeneity was significantly negatively correlated with mental health(OR=0.76,P<0.001).(5)Social network for physical and mental health of the elderly in the institution,physical health: There was a significant positive correlation between network size and physical health(OR=1.343,P<0.001),and the relationship between strong relationship and physical health was significantly positive(OR= 1.297,P<0.001),network tightness was significantly negatively correlated with physical health(OR=0.557,P<0.001),cultural degree convergence was significantly negatively correlated with physical health(OR=0.264,P<0.001),political appearance Convergence was significantly negatively correlated with physical health(OR=0.014,P<0.001),occupational convergence was significantly positively correlated with physical health(OR=2.107,P<0.001),and gender heterogeneity was significantly negatively correlated with physical health.(OR=0.581,P<0.001),political appearance heterogeneity was significantly negatively correlated with physical health(OR=0.05,P<0.001),and cultural heterogeneity was significantly negatively correlated with physical health(OR=0.24,P <0.001),occupational heterogeneity was significantly negatively correlated with physical health(OR=0.435,P<0.001);mental health:network size was significantly positively correlated with mental health(OR=1.443,P<0.001),network was tight Degree is significantly negatively correlated with mental health(OR =0.427,P<0.001),the relationship between strong relationship and mental health was significantly positively correlated(OR=3.242,P<0.001),gender congruence was significantly positively correlated with mental health(OR=1.399,P<0.001),age convergence There was a significant negative correlation between sexual and mental health(OR=0.818,P<0.001),political appearance homogeneity and mental health were significantly negatively correlated(OR=0.184,P<0.001),gender heterogeneity was significantly negatively correlated with mental health.(OR=0.691,P<0.001),age heterogeneity was significantly negatively correlated with mental health(OR=0.895,P<0.001),political heterogeneity was significantly negatively correlated with mental health(OR=0.436,P< 0.001),cultural heterogeneity was significantly negatively correlated with mental health(OR=0.634,P<0.001),occupational heterogeneity was significantly negatively correlated with mental health(OR=0.216,P<0.001);Conclusion:(1)The physical health and mental health of the elderly in the family are higher than those of the elderly in the institution.(2)The network scale,network closeness,and strong relationship ratio of family pensioners are higher than the institutional pension elderly,and the convergence index shows the opposite result.(3)The larger the scale of social network,the greater the proportion of strong relationship,the more complete the relationship,the higher the convergence of the network,the better the physiological health of the elderly,and the larger the scale of the network,the greater the proportion of strong relationships,and the heterogeneity of the network.The bigger the older,the better the mental health of the elderly(4)In the family pension elderly,improving the social network scale,closeness,gender convergence and cultural level convergence of the elderly will help improve the physical and mental health of the elderly.Among the elderly in the institution,improving the scale of social networks and the proportion of strong relationships among the elderly is conducive to improving the physical and mental health of the elderly.The tightness and heterogeneity indicators showed a significant negative correlation between the physical and mental health of the elderly... |
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