{"title":"孤独的社会不平等:区分教育、收入和职业的贡献","authors":"Johannes Beller","doi":"10.1177/21582440241281408","DOIUrl":null,"url":null,"abstract":"Loneliness represents a serious health risk. However, studies investigating social inequalities in loneliness are rare. Thus, the current study investigates which socioeconomic groups are the most affected by loneliness. Data from the population-based German Aging Survey were used ( N = 3,784), with participants being 40+ years old. Education, income, and occupational prestige were used as socioeconomic indicators. It was found that loneliness scores were descriptively higher in groups with lower educational attainment, lower income and lower occupational prestige. In a linear regression analysis, significant socioeconomic differences in loneliness emerged only for income and occupational prestige. Thus, individuals with a low occupational position and those with low income are systematically more affected by loneliness than higher status groups. Material and occupational resources are likely to constitute major socio-structural explanatory variables for loneliness and should be further investigated as such by future studies.","PeriodicalId":48167,"journal":{"name":"Sage Open","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Social Inequalities in Loneliness: Disentangling the Contributions of Education, Income, and Occupation\",\"authors\":\"Johannes Beller\",\"doi\":\"10.1177/21582440241281408\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Loneliness represents a serious health risk. However, studies investigating social inequalities in loneliness are rare. Thus, the current study investigates which socioeconomic groups are the most affected by loneliness. Data from the population-based German Aging Survey were used ( N = 3,784), with participants being 40+ years old. Education, income, and occupational prestige were used as socioeconomic indicators. It was found that loneliness scores were descriptively higher in groups with lower educational attainment, lower income and lower occupational prestige. In a linear regression analysis, significant socioeconomic differences in loneliness emerged only for income and occupational prestige. Thus, individuals with a low occupational position and those with low income are systematically more affected by loneliness than higher status groups. Material and occupational resources are likely to constitute major socio-structural explanatory variables for loneliness and should be further investigated as such by future studies.\",\"PeriodicalId\":48167,\"journal\":{\"name\":\"Sage Open\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2024-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sage Open\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1177/21582440241281408\",\"RegionNum\":4,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"SOCIAL SCIENCES, INTERDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sage Open","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1177/21582440241281408","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL SCIENCES, INTERDISCIPLINARY","Score":null,"Total":0}
Social Inequalities in Loneliness: Disentangling the Contributions of Education, Income, and Occupation
Loneliness represents a serious health risk. However, studies investigating social inequalities in loneliness are rare. Thus, the current study investigates which socioeconomic groups are the most affected by loneliness. Data from the population-based German Aging Survey were used ( N = 3,784), with participants being 40+ years old. Education, income, and occupational prestige were used as socioeconomic indicators. It was found that loneliness scores were descriptively higher in groups with lower educational attainment, lower income and lower occupational prestige. In a linear regression analysis, significant socioeconomic differences in loneliness emerged only for income and occupational prestige. Thus, individuals with a low occupational position and those with low income are systematically more affected by loneliness than higher status groups. Material and occupational resources are likely to constitute major socio-structural explanatory variables for loneliness and should be further investigated as such by future studies.