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Understanding unequal ageing: towards a synthesis of intersectionality and life course analyses

Author

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  • Daniel Holman

    (The University of Sheffield)

  • Alan Walker

    (The University of Sheffield)

Abstract

Intersectionality has received an increasing amount of attention in health inequalities research in recent years. It suggests that treating social characteristics separately—mainly age, gender, ethnicity, and socio-economic position—does not match the reality that people simultaneously embody multiple characteristics and are therefore potentially subject to multiple forms of discrimination. Yet the intersectionality literature has paid very little attention to the nature of ageing or the life course, and gerontology has rarely incorporated insights from intersectionality. In this paper, we aim to illustrate how intersectionality might be synthesised with a life course perspective to deliver novel insights into unequal ageing, especially with respect to health. First we provide an overview of how intersectionality can be used in research on inequality, focusing on intersectional subgroups, discrimination, categorisation, and individual heterogeneity. We cover two key approaches—the use of interaction terms in conventional models and multilevel models which are particularly focussed on granular subgroup differences. In advancing a conceptual dialogue with the life course perspective, we discuss the concepts of roles, life stages, transitions, age/cohort, cumulative disadvantage/advantage, and trajectories. We conclude that the synergies between intersectionality and the life course hold exciting opportunities to bring new insights to unequal ageing and its attendant health inequalities.

Suggested Citation

  • Daniel Holman & Alan Walker, 2021. "Understanding unequal ageing: towards a synthesis of intersectionality and life course analyses," European Journal of Ageing, Springer, vol. 18(2), pages 239-255, June.
    • Handle: RePEc:spr:eujoag:v:18:y:2021:i:2:d:10.1007_s10433-020-00582-7
    DOI: 10.1007/s10433-020-00582-7
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    References listed on IDEAS

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    1. Evans, Clare R. & Erickson, Natasha, 2019. "Intersectionality and depression in adolescence and early adulthood: A MAIHDA analysis of the national longitudinal study of adolescent to adult health, 1995–2008," Social Science & Medicine, Elsevier, vol. 220(C), pages 1-11.
    2. Bauer, Greta R. & Scheim, Ayden I., 2019. "Methods for analytic intercategorical intersectionality in quantitative research: Discrimination as a mediator of health inequalities," Social Science & Medicine, Elsevier, vol. 226(C), pages 236-245.
    3. Bauer, Greta R., 2014. "Incorporating intersectionality theory into population health research methodology: Challenges and the potential to advance health equity," Social Science & Medicine, Elsevier, vol. 110(C), pages 10-17.
    4. Dale Dannefer, 2003. "Cumulative Advantage/Disadvantage and the Life Course: Cross-Fertilizing Age and Social Science Theory," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 58(6), pages 327-337.
    5. Aisenbrey, Silke & Fasang, Anette Eva, 2018. "Social location matters: Inequality in work and family life courses at the intersection of gender and race," Discussion Papers, Research Group Demography and Inequality SP I 2018-601, WZB Berlin Social Science Center.
    6. Gkiouleka, Anna & Huijts, Tim & Beckfield, Jason & Bambra, Clare, 2018. "Understanding the micro and macro politics of health: Inequalities, intersectionality & institutions - A research agenda," Social Science & Medicine, Elsevier, vol. 200(C), pages 92-98.
    7. Giorgio Brunello & Guglielmo Weber & Christoph T. Weiss, 2017. "Books are Forever: Early Life Conditions, Education and Lifetime Earnings in Europe," Economic Journal, Royal Economic Society, vol. 127(600), pages 271-296, March.
    8. Nazroo, J.Y., 2003. "The structuring of ethnic inequalities in health: Economic position, racial discrimination, and racism," American Journal of Public Health, American Public Health Association, vol. 93(2), pages 277-284.
    9. Aránzazu Hernández-Yumar & Maria Wemrell & Ignacio Abásolo Alessón & Beatriz González López-Valcárcel & George Leckie & Juan Merlo, 2018. "Socioeconomic differences in body mass index in Spain: An intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-23, December.
    10. Bowleg, L., 2012. "The problem with the phrase women and minorities: Intersectionality-an important theoretical framework for public health," American Journal of Public Health, American Public Health Association, vol. 102(7), pages 1267-1273.
    11. Erdman Palmore, 2015. "Ageism Comes of Age," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 70(6), pages 873-875.
    12. Giorgio Brunello & Guglielmo Weber & Christoph T. Weiss, 2017. "Books are Forever: Early Life Conditions, Education and Lifetime Earnings in Europe," Economic Journal, Royal Economic Society, vol. 127(600), pages 271-296, March.
    13. Evans, Clare R. & Williams, David R. & Onnela, Jukka-Pekka & Subramanian, S.V., 2018. "A multilevel approach to modeling health inequalities at the intersection of multiple social identities," Social Science & Medicine, Elsevier, vol. 203(C), pages 64-73.
    14. Abrams, Jasmine A. & Tabaac, Ariella & Jung, Sarah & Else-Quest, Nicole M., 2020. "Considerations for employing intersectionality in qualitative health research," Social Science & Medicine, Elsevier, vol. 258(C).
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    Cited by:

    1. Laura Tinner & Daniel Holman & Stephanie Ejegi-Memeh & Anthony A. Laverty, 2023. "Use of Intersectionality Theory in Interventional Health Research in High-Income Countries: A Scoping Review," IJERPH, MDPI, vol. 20(14), pages 1-20, July.
    2. Bell, Andrew & Evans, Clare & Holman, Daniel & Leckie, George, 2023. "Extending intersectional Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) for longitudinal data, with application to mental health trajectories in the UK," SocArXiv jq57s, Center for Open Science.
    3. Bell, Andrew & Evans, Clare & Holman, Dan & Leckie, George, 2024. "Extending intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) to study individual longitudinal trajectories, with application to mental health in the UK," Social Science & Medicine, Elsevier, vol. 351(C).
    4. María Sánchez-Román & Gadea Autric-Tamayo & Gloria Fernandez-Mayoralas & Fermina Rojo-Perez & María Silveria Agulló-Tomás & Diego Sánchez-González & Vicente Rodriguez-Rodriguez, 2022. "Social Image of Old Age, Gendered Ageism and Inclusive Places: Older People in the Media," IJERPH, MDPI, vol. 19(24), pages 1-26, December.
    5. Alan Stone & Nicholas Harkiolakis, 2022. "Technology Boom(ers): How US Multinational Technology Companies Are Preparing for an Ageing Workforce," Administrative Sciences, MDPI, vol. 12(3), pages 1-14, July.

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