{"title":"老年人主观幸福感中人格特质与社会网络特征的相互作用。","authors":"Howard Litwin, Michal Levinsky","doi":"10.1177/01640275221113048","DOIUrl":null,"url":null,"abstract":"<p><p>Using data from the Survey of Health, Ageing and Retirement in Europe, we regressed three well-being measures (CASP, life satisfaction and Euro-D depressive symptoms) on indicators of personality and social network. Personality was indicated by the Big-Five personality traits, while social network was measured in terms of size, contact frequency and emotional closeness. The analysis also considered personality-network interactions, controlling for confounders. The sample was comprised of 35,145 adults, aged 50 and older, from 24 European countries and Israel<b>.</b> The results revealed that the personality traits explained more variance in the well-being outcomes than the social network characteristics did. However, the interactions showed that the social network characteristics, particularly size and mean emotional closeness, offset the effects of dysfunctional personality attributes on subjective well-being in late life. Hence, social network characteristics were shown to modify the potentially ill effects of personality on key well-being indicators.</p>","PeriodicalId":47983,"journal":{"name":"Research on Aging","volume":"45 7-8","pages":"538-549"},"PeriodicalIF":1.8000,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/47/5c/10.1177_01640275221113048.PMC10285426.pdf","citationCount":"2","resultStr":"{\"title\":\"The Interplay of Personality Traits and Social Network Characteristics in the Subjective Well-Being of Older Adults.\",\"authors\":\"Howard Litwin, Michal Levinsky\",\"doi\":\"10.1177/01640275221113048\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Using data from the Survey of Health, Ageing and Retirement in Europe, we regressed three well-being measures (CASP, life satisfaction and Euro-D depressive symptoms) on indicators of personality and social network. Personality was indicated by the Big-Five personality traits, while social network was measured in terms of size, contact frequency and emotional closeness. The analysis also considered personality-network interactions, controlling for confounders. The sample was comprised of 35,145 adults, aged 50 and older, from 24 European countries and Israel<b>.</b> The results revealed that the personality traits explained more variance in the well-being outcomes than the social network characteristics did. However, the interactions showed that the social network characteristics, particularly size and mean emotional closeness, offset the effects of dysfunctional personality attributes on subjective well-being in late life. Hence, social network characteristics were shown to modify the potentially ill effects of personality on key well-being indicators.</p>\",\"PeriodicalId\":47983,\"journal\":{\"name\":\"Research on Aging\",\"volume\":\"45 7-8\",\"pages\":\"538-549\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2023-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/47/5c/10.1177_01640275221113048.PMC10285426.pdf\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Research on Aging\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1177/01640275221113048\",\"RegionNum\":3,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GERONTOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research on Aging","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1177/01640275221113048","RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GERONTOLOGY","Score":null,"Total":0}
The Interplay of Personality Traits and Social Network Characteristics in the Subjective Well-Being of Older Adults.
Using data from the Survey of Health, Ageing and Retirement in Europe, we regressed three well-being measures (CASP, life satisfaction and Euro-D depressive symptoms) on indicators of personality and social network. Personality was indicated by the Big-Five personality traits, while social network was measured in terms of size, contact frequency and emotional closeness. The analysis also considered personality-network interactions, controlling for confounders. The sample was comprised of 35,145 adults, aged 50 and older, from 24 European countries and Israel. The results revealed that the personality traits explained more variance in the well-being outcomes than the social network characteristics did. However, the interactions showed that the social network characteristics, particularly size and mean emotional closeness, offset the effects of dysfunctional personality attributes on subjective well-being in late life. Hence, social network characteristics were shown to modify the potentially ill effects of personality on key well-being indicators.
期刊介绍:
Research on Aging is an interdisciplinary journal designed to reflect the expanding role of research in the field of social gerontology. Research on Aging exists to provide for publication of research in the broad range of disciplines concerned with aging. Scholars from the disciplines of sociology, geriatrics, history, psychology, anthropology, public health, economics, political science, criminal justice, and social work are encouraged to contribute articles to the journal. Emphasis will be on materials of broad scope and cross-disciplinary interest. Assessment of the current state of knowledge is as important as provision of an outlet for new knowledge, so critical and review articles are welcomed. Systematic attention to particular topics will also be featured.