People's Reasons for Divorcing: Gender, Social Class, the Life Course, and Adjustment

2003 ◽  
Vol 24 (5) ◽  
pp. 602-626 ◽  
Author(s):  
PAUL R. AMATO ◽  
DENISE PREVITI
2005 ◽  
Vol 50 (S13) ◽  
pp. 247-274 ◽  
Author(s):  
Hilde Bras ◽  
Jan Kok

This article investigates developments in and antecedents of socially mixed marriage in the rural Dutch province of Zeeland during the long nineteenth century, taking individual and family histories, community contexts, and temporal influences into account. A government report of the 1850s said of Zeeland that farmers and workers lived “in indifference together”. However, our analysis of about 163,000 marriage certificates reveals that 30 to 40 per cent of these rural inhabitants continued to marry outside their original social class. Multivariate logistic regressions show that heterogamous marriages can be explained first and foremost by the life-course experiences of grooms and brides prior to marriage. Previous transitions in their occupational careers (especially to non-rural occupations for grooms, and to service for brides), in their migration trajectories (particularly moves to urban areas), and changes in the sphere of personal relationships (entering widowhood, ageing) are crucial in understanding marriage mobility.


Author(s):  
Chris Gilleard ◽  
Paul Higgs

This chapter begins with a consideration of models and theories concerning social class. It focuses upon the distinctions between relational and gradational models of class. It then explores how these different models seem to be articulated in later life and the model of cumulative advantage and disadvantage employed in much social gerontology. Following from such considerations, it explores both the connections and the disjunctions that exists between working and post working life. The chapter concludes with a consideration of how consumption and consumerism have grown in significance as markers of distinction and determinants of difference, not just in later life but throughout the life course.


2018 ◽  
Vol 4 ◽  
pp. 169-177 ◽  
Author(s):  
Carin Lennartsson ◽  
Harpa Sif Eyjólfsdóttir ◽  
Roger Keller Celeste ◽  
Johan Fritzell

2018 ◽  
Vol 62 (9) ◽  
pp. 1159-1166 ◽  
Author(s):  
Laura Robinson ◽  
Wenhong Chen ◽  
Jeremy Schulz ◽  
Aneka Khilnani

This issue of the American Behavioral Scientist probes digital inequality as both an endogenous and exogenous factor shaping key life realms and social processes. These include aging and the life course, family and parenting, students and education, prisoner rehabilitation, and social class. The relationships between digital inequality and these life realms are explored in different institutional and national contexts. By drawing connections between digital inequality and these distinct—yet interconnected—life realms, this issue marks a new frontier in the study of digital inequality.


2014 ◽  
Vol 24 (9) ◽  
pp. 641-647.e1 ◽  
Author(s):  
Carl-Etienne Juneau ◽  
Alice Sullivan ◽  
Brian Dodgeon ◽  
Sylvana Côté ◽  
George B. Ploubidis ◽  
...  

2021 ◽  
pp. jech-2020-215608
Author(s):  
Anitha George ◽  
Rebecca Hardy ◽  
Juan Castillo Fernandez ◽  
Yvonne Kelly ◽  
Jane Maddock

BackgroundAgeing biomarkers can help us better understand how well-established socioeconomic position (SEP) disparities in ageing occur. A promising new set of DNAm methylation (DNAm)-based ageing biomarkers indicate through their age acceleration (AA) measures if biological ageing is slower or faster than chronological ageing. Few studies have investigated the association between SEP and DNAm AA.MethodsWe used linear regression to examine the sex-adjusted relationships between childhood social class, adult social class, intergenerational social class change, education and adult household earnings with first (Horvath AA and Hannum AA) and second generation (PhenoAge AA and GrimAge AA) DNAm AA markers using data from the MRC National Survey of Health and Development.ResultsIn the first-generation biomarkers, there was little evidence of any associations with Horvath AA but associations of childhood social class and income with Hannum AA were observed. Strong associations were seen between greater disadvantage in childhood and adult SEP and greater AA in the second generation biomarkers. For example, those with fathers in an unskilled occupational social class in childhood had 3.6 years greater PhenoAge AA (95% CI 1.8 to 5.4) than those with fathers from a professional social class. Individuals without qualifications had higher AA compared with those with higher education (4.1 years greater GrimAge AA (95% CI 3.1 to 5.0)).ConclusionOur findings highlight the importance of exposure to social disadvantage in childhood to the biological ageing process. The second generation clocks appear to be more sensitive to the accumulation of social disadvantage across the life course.


Author(s):  
Tania Zittoun ◽  
Jaan Valsiner ◽  
Dankert Vedeler ◽  
Joao Salgado ◽  
Miguel M. Goncalves ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document