{"title":"老年人被社会排斥的风险因素:来自横断面调查的证据","authors":"T. Maheshkumar, S. Irudaya Rajan","doi":"10.1007/s12126-024-09573-w","DOIUrl":null,"url":null,"abstract":"<div><p>The study examines the exclusion of older people using a multidimensional approach to understand the different domains of exclusion. Particularly, it evaluates the risk factors of old-age social exclusion, focusing on the level of exclusion across three domains such as social relations, economic and material resources, and social activities, as well as the total exclusion score. Using secondary data from the Building Knowledge Base on Population Ageing in India (BKPAI) survey, the study employed bivariate descriptive and multinomial logistic regression models to assess the factors that affect social exclusion for all three domains, as well as the total exclusion score. Results for the total social exclusion score reveal that older people in their later ages, women, from rural areas, without schooling, living alone, without work, and having poor physical health, experienced a severe risk of exclusion. Notably, older people at later ages (70+) from rural areas without schooling experienced both moderate and severe exclusion in all the domains, as well as in the total exclusion score. While analysing exclusion across all three domains, the study found that older people were most at risk of exclusion in the domains of economic and material resources, followed by the domain of social relations. Thus, ageing policies should consider these micro-level risk factors associated with these two domains to combat the exclusion and improve their quality of life.</p></div>","PeriodicalId":51665,"journal":{"name":"Ageing International","volume":"49 4","pages":"914 - 939"},"PeriodicalIF":1.0000,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Risk Factors of Social Exclusion Among Older Persons: Evidence from a Cross-Sectional Survey\",\"authors\":\"T. Maheshkumar, S. Irudaya Rajan\",\"doi\":\"10.1007/s12126-024-09573-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The study examines the exclusion of older people using a multidimensional approach to understand the different domains of exclusion. Particularly, it evaluates the risk factors of old-age social exclusion, focusing on the level of exclusion across three domains such as social relations, economic and material resources, and social activities, as well as the total exclusion score. Using secondary data from the Building Knowledge Base on Population Ageing in India (BKPAI) survey, the study employed bivariate descriptive and multinomial logistic regression models to assess the factors that affect social exclusion for all three domains, as well as the total exclusion score. Results for the total social exclusion score reveal that older people in their later ages, women, from rural areas, without schooling, living alone, without work, and having poor physical health, experienced a severe risk of exclusion. Notably, older people at later ages (70+) from rural areas without schooling experienced both moderate and severe exclusion in all the domains, as well as in the total exclusion score. While analysing exclusion across all three domains, the study found that older people were most at risk of exclusion in the domains of economic and material resources, followed by the domain of social relations. Thus, ageing policies should consider these micro-level risk factors associated with these two domains to combat the exclusion and improve their quality of life.</p></div>\",\"PeriodicalId\":51665,\"journal\":{\"name\":\"Ageing International\",\"volume\":\"49 4\",\"pages\":\"914 - 939\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2024-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ageing International\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s12126-024-09573-w\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"GERONTOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ageing International","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1007/s12126-024-09573-w","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GERONTOLOGY","Score":null,"Total":0}
Risk Factors of Social Exclusion Among Older Persons: Evidence from a Cross-Sectional Survey
The study examines the exclusion of older people using a multidimensional approach to understand the different domains of exclusion. Particularly, it evaluates the risk factors of old-age social exclusion, focusing on the level of exclusion across three domains such as social relations, economic and material resources, and social activities, as well as the total exclusion score. Using secondary data from the Building Knowledge Base on Population Ageing in India (BKPAI) survey, the study employed bivariate descriptive and multinomial logistic regression models to assess the factors that affect social exclusion for all three domains, as well as the total exclusion score. Results for the total social exclusion score reveal that older people in their later ages, women, from rural areas, without schooling, living alone, without work, and having poor physical health, experienced a severe risk of exclusion. Notably, older people at later ages (70+) from rural areas without schooling experienced both moderate and severe exclusion in all the domains, as well as in the total exclusion score. While analysing exclusion across all three domains, the study found that older people were most at risk of exclusion in the domains of economic and material resources, followed by the domain of social relations. Thus, ageing policies should consider these micro-level risk factors associated with these two domains to combat the exclusion and improve their quality of life.
期刊介绍:
As a quarterly peer-reviewed journal that has existed for over three decades, Ageing International serves all professionals who deal with complex ageing issues. The journal is dedicated to improving the life of ageing populations worldwide through providing an intellectual forum for communicating common concerns, exchanging analyses and discoveries in scientific research, crystallizing significant issues, and offering recommendations in ageing-related service delivery and policy making. Besides encouraging the submission of high-quality research and review papers, Ageing International seeks to bring together researchers, policy analysts, and service program administrators who are committed to reducing the ''implementation gap'' between good science and effective service, between evidence-based protocol and culturally suitable programs, and between unique innovative solutions and generalizable policies. For significant issues that are common across countries, Ageing International will organize special forums for scholars and investigators from different disciplines to present their regional perspectives as well as to provide more comprehensive analysis. The editors strongly believe that such discourse has the potential to foster a wide range of coordinated efforts that will lead to improvements in the quality of life of older persons worldwide. Abstracted and Indexed in:
ABI/INFORM, Academic OneFile, Academic Search, CSA/Proquest, Current Abstracts, EBSCO, Ergonomics Abstracts, Expanded Academic, Gale, Google Scholar, Health Reference Center Academic, OCLC, PsychINFO, PsyARTICLES, SCOPUS, Social Science Abstracts, and Summon by Serial Solutions.