IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v151y2016icp130-138.html
   My bibliography  Save this article

Life course socioeconomic status and the decline in information processing speed in late life

Author

Listed:
  • Staff, R.T.
  • Chapko, D.
  • Hogan, M.J.
  • Whalley, L.J.

Abstract

Low socio-economic status is a recognised composite measure made up of income, education and occupational social class, which is a risk factor for poor physical and mental health and late life dementia. Here, we distinguish between components of childhood socioeconomic status to explore their separate influences of childhood and adult occupational social class (OSC), childhood mental ability and education on late life cognitive ability and change trajectories. Cognitive data were collected longitudinally from a sub-sample (N = 478) of the Aberdeen 1936 birth cohort tested on up to 5 occasions between ages 63 and 78 years. Age 11 mental ability scores were available for all participants. We used longitudinal multi-level linear modelling to explore models of cognitive change that distinguished between the possible influences of parental occupation, participants' own occupation as adults, duration of formal education, childhood mental ability and the participants' own occupation. We showed that parental occupation and the participants' own occupation are independently associated with cognition in late life, but do not influence the trajectory of cognitive change. However, when models include childhood mental ability and education the influence of parental and participant occupation is no longer significant. The association in these data between parental occupation and late life cognitive variation is accounted for by childhood mental ability and duration of formal education. However, we cannot exclude the possibility that parental occupation in early life influences early life mental ability and duration of education. The trajectory of change with age is similar across all models, with none of the life course factors (education, parental and participant occupational social class and childhood ability) significantly co-varying with the trajectory of cognitive variation.

Suggested Citation

  • Staff, R.T. & Chapko, D. & Hogan, M.J. & Whalley, L.J., 2016. "Life course socioeconomic status and the decline in information processing speed in late life," Social Science & Medicine, Elsevier, vol. 151(C), pages 130-138.
  • Handle: RePEc:eee:socmed:v:151:y:2016:i:c:p:130-138
    DOI: 10.1016/j.socscimed.2016.01.019
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953616300193
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socscimed.2016.01.019?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ye Luo & Linda J. Waite, 2005. "The Impact of Childhood and Adult SES on Physical, Mental, and Cognitive Well-Being in Later Life," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 60(2), pages 93-101.
    2. Zhang, Zhenmei & Gu, Danan & Hayward, Mark D., 2010. "Childhood nutritional deprivation and cognitive impairment among older Chinese people," Social Science & Medicine, Elsevier, vol. 71(5), pages 941-949, September.
    3. Mary N. Haan & Adina Zeki Al-Hazzouri & Allison E. Aiello, 2011. "Life-span Socioeconomic Trajectory, Nativity, and Cognitive Aging in Mexican Americans: The Sacramento Area Latino Study on Aging," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 66(suppl_1), pages 102-110.
    4. Gavin Turrell & John W. Lynch & George A. Kaplan & Susan A. Everson & Eeva-Liisa Helkala & Jussi Kauhanen & Jukka T. Salonen, 2002. "Socioeconomic Position Across the Lifecourse and Cognitive Function in Late Middle Age," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 57(1), pages 43-51.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lei Yang & Zhenbo Wang, 2020. "Early-Life Conditions and Cognitive Function in Middle-and Old-Aged Chinese Adults: A Longitudinal Study," IJERPH, MDPI, vol. 17(10), pages 1-13, May.
    2. Collin F. Payne & Iliana V. Kohler & Chiwoza Bandawe & Kathy Lawler & Hans-Peter Kohler, 2018. "Cognition, Health, and Well-Being in a Rural Sub-Saharan African Population," European Journal of Population, Springer;European Association for Population Studies, vol. 34(4), pages 637-662, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Zhenmei & Liu, Hui & Choi, Seung-won, 2020. "Early-life socioeconomic status, adolescent cognitive ability, and cognition in late midlife: Evidence from the Wisconsin Longitudinal Study," Social Science & Medicine, Elsevier, vol. 244(C).
    2. de Almeida, Filipa & Scott, Ian J. & Soro, Jerônimo C. & Fernandes, Daniel & Amaral, André R. & Catarino, Mafalda L. & Arêde, André & Ferreira, Mário B., 2024. "Financial scarcity and cognitive performance: A meta-analysis," Journal of Economic Psychology, Elsevier, vol. 101(C).
    3. Jo Mhairi Hale, 2017. "Cognitive Disparities: The Impact of the Great Depression and Cumulative Inequality on Later-Life Cognitive Function," Demography, Springer;Population Association of America (PAA), vol. 54(6), pages 2125-2158, December.
    4. Duan, Jinyun & Ren, Xiaoyun & Liu, Zhengguang & Riggio, Ronald E., 2022. "Connecting the dots: How parental and current socioeconomic status shape individuals’ transformational leadership," Journal of Business Research, Elsevier, vol. 150(C), pages 51-58.
    5. Eunsun Kwon & Sojung Park, 2017. "Heterogeneous Trajectories of Physical and Mental Health in Late Middle Age: Importance of Life-Course Socioeconomic Positions," IJERPH, MDPI, vol. 14(6), pages 1-20, May.
    6. Iveson, Matthew H. & Deary, Ian J., 2017. "Intergenerational social mobility and subjective wellbeing in later life," Social Science & Medicine, Elsevier, vol. 188(C), pages 11-20.
    7. Ko, Pei-Chun & Yeung, Wei-Jun Jean, 2019. "Childhood conditions and productive aging in China," Social Science & Medicine, Elsevier, vol. 229(C), pages 60-69.
    8. Juan Li & Hanzhang Xu & Wei Pan & Bei Wu, 2017. "Association between tooth loss and cognitive decline: A 13-year longitudinal study of Chinese older adults," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-12, February.
    9. Ming Wen & Danan Gu, 2011. "The Effects of Childhood, Adult, and Community Socioeconomic Conditions on Health and Mortality among Older Adults in China," Demography, Springer;Population Association of America (PAA), vol. 48(1), pages 153-181, February.
    10. Steiber, Nadia, 2019. "Intergenerational educational mobility and health satisfaction across the life course: Does the long arm of childhood conditions only become visible later in life?," Social Science & Medicine, Elsevier, vol. 242(C).
    11. Sojung Park & Eunsun Kwon & Hyunjoo Lee, 2017. "Life Course Trajectories of Later-Life Cognitive Functions: Does Social Engagement in Old Age Matter?," IJERPH, MDPI, vol. 14(4), pages 1-13, April.
    12. Yu, Xuexin & Zhang, Wei & Kobayashi, Lindsay C., 2021. "Duration of subjective poverty in relation to subsequent cognitive performance and decline among adults aged ≥64 in China, 2005–2018," Social Science & Medicine, Elsevier, vol. 283(C).
    13. Aely Park, 2020. "The Impact of Childhood and Adult Educational Attainment and Economic Status on Later Depressive Symptoms and Its Intergenerational Effect," IJERPH, MDPI, vol. 17(23), pages 1-14, December.
    14. Christelis, Dimitris & Dobrescu, Loretti I. & Motta, Alberto, 2020. "Early life conditions and financial risk-taking in older age," The Journal of the Economics of Ageing, Elsevier, vol. 17(C).
    15. Chen, Xi, 2022. "Early Life Circumstances and the Health of Older Adults: A Research Note," GLO Discussion Paper Series 1158, Global Labor Organization (GLO).
    16. Wanchuan Lin, 2009. "Why has the health inequality among infants in the US declined? Accounting for the shrinking gap," Health Economics, John Wiley & Sons, Ltd., vol. 18(7), pages 823-841, July.
    17. Janet Currie & Mark Stabile & Phongsack Manivong & Leslie L. Roos, 2010. "Child Health and Young Adult Outcomes," Journal of Human Resources, University of Wisconsin Press, vol. 45(3).
    18. Daniel Ramirez & Steven A. Haas, 2022. "Windows of Vulnerability: Consequences of Exposure Timing during the Dutch Hunger Winter," Population and Development Review, The Population Council, Inc., vol. 48(4), pages 959-989, December.
    19. Hui Zheng & Jonathan Dirlam & Paola Echave, 2021. "Divergent Trends in the Effects of Early Life Factors on Adult Health," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 40(5), pages 1119-1148, October.
    20. Szanton, Sarah L. & Thorpe, Roland J. & Whitfield, Keith, 2010. "Life-course financial strain and health in African-Americans," Social Science & Medicine, Elsevier, vol. 71(2), pages 259-265, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:socmed:v:151:y:2016:i:c:p:130-138. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.