@article{bba57974f2034bb0809ec0cd11837329,
title = "From attitudes to social networks: National gender-role attitudes and gender differences in late-life social relationships",
abstract = "Studies often find gender differences in social networks in later life, but are these findings universal, or do they differ in various cultural contexts? To address this research gap, the current study examines the association between gender differences in social relationships and country-level gender-role attitudes. We combined data from the Survey of Health, Ageing and Retirement in Europe (SHARE) of individuals aged 50 years and older with country-level data on gender-role attitudes from the European Values Survey (EVS) for 15 European countries. We estimated a series of multivariate hierarchical regression models that predicted the size of the personal social network, its emotional closeness, and the proportion of the spouse, children, and friends in the network. The results indicated gender differences in social network characteristics. Women reported larger social networks and were more likely to have larger proportions of children and friends but smaller proportions of the spouse in their social networks. The magnitude of gender differences was associated with country-level gender-role attitudes. In countries with more egalitarian gender-role attitudes, women had larger networks with a larger proportion of friends compared to men. In countries with more traditional gender-role attitudes, women had larger proportions of their children and spouse in their social networks and had emotionally closer networks. Our findings suggest that the societal context and opportunity structures for social interactions play an important role in shaping the structure of women's and men's social relationships in later life.",
keywords = "Country-comparative study, Cross-national, Family, Gender inequality, Later life, Social ties",
author = "Ella Cohn-Schwartz and Alina Schmitz",
note = "Funding Information: This paper uses data from SHARE Wave 6 (DOI: 10.6103/SHARE.w6.800), see B{\"o}rsch-Supan et al. (2013) for methodological details. The SHARE data collection has been funded by the European Commission, DG RTD through FP5 (QLK6-CT-2001–00360), FP6 (SHARE-I3: RII-CT-2006–062193, COMPARE: CIT5-CT-2005–028857, SHARELIFE: CIT4-CT-2006–028812), FP7 (SHARE-PREP: GA N°211909, SHARE-LEAP: GA N°227822, SHARE M4: GA N°261982, DASISH: GA N°283646) and Horizon 2020 (SHARE-DEV3: GA N°676536, SHARE-COHESION: GA N°870628, SERISS: GA N°654221, SSHOC: GA N°823782, SHARE-COVID19: GA N°101015924) and by DG Employment, Social Affairs & Inclusion through VS 2015/0195, VS 2016/0135, VS 2018/0285, VS 2019/0332, and VS 2020/0313. Additional funding from the German Ministry of Education and Research, the Max Planck Society for the Advancement of Science, the U.S. National Institute on Aging (U01_AG09740–13S2, P01_AG005842, P01_AG08291, P30_AG12815, R21_AG025169, Y1-AG-4553–01, IAG_BSR06–11, OGHA_04–064, HHSN271201300071C, RAG052527A) and from various national funding sources is gratefully acknowledged (see www.share-project.org). Additionally, this paper uses data from the EVS/WVS (2022). Joint EVS/WVS 2017–2022 Dataset (Joint EVS/WVS). GESIS, Cologne. https://doi.org/10.4232/1.14023. This collaboration was supported by the Minerva Stiftung. Funding Information: This paper uses data from SHARE Wave 6 (DOI: 10.6103/SHARE.w6.800), see B{\"o}rsch-Supan et al. (2013) for methodological details. The SHARE data collection has been funded by the European Commission , DG RTD through FP5 ( QLK6-CT-2001–00360 ), FP6 ( SHARE-I3: RII-CT-2006–062193 , COMPARE: CIT5-CT-2005–028857 , SHARELIFE: CIT4-CT-2006–028812 ), FP7 (SHARE-PREP : GA N°211909 , SHARE-LEAP : GA N°227822 , SHARE M4: GA N°261982 , DASISH: GA N°283646 ) and Horizon 2020 ( SHARE-DEV3 : GA N°676536 , SHARE-COHESION : GA N°870628 , SERISS: GA N°654221 , SSHOC : GA N°823782 , SHARE-COVID19: GA N°101015924 ) and by DG Employment, Social Affairs & Inclusion through VS 2015/0195 , VS 2016/0135 , VS 2018/0285 , VS 2019/0332 , and VS 2020/0313 . Additional funding from the German Ministry of Education and Research , the Max Planck Society for the Advancement of Science , the U.S. National Institute on Aging ( U01_AG09740–13S2 , P01_AG005842 , P01_AG08291 , P30_AG12815 , R21_AG025169 , Y1-AG-4553–01 , IAG_BSR06–11, OGHA_04–064 , HHSN271201300071C , RAG052527A ) and from various national funding sources is gratefully acknowledged (see www.share-project.org ). Additionally, this paper uses data from the EVS/WVS (2022) . Joint EVS/WVS 2017–2022 Dataset (Joint EVS/WVS). GESIS, Cologne. https://doi.org/10.4232/1.14023 . This collaboration was supported by the Minerva Stiftung. Publisher Copyright: {\textcopyright} 2023 Elsevier B.V.",
year = "2024",
month = jan,
day = "1",
doi = "10.1016/j.socnet.2023.08.001",
language = "English",
volume = "76",
pages = "79--87",
journal = "Social Networks",
issn = "0378-8733",
publisher = "Elsevier BV",
}