IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0202395.html
   My bibliography  Save this article

Early life predictors of midlife allostatic load: A prospective cohort study

Author

Listed:
  • Dinne Skjærlund Christensen
  • Trine Flensborg-Madsen
  • Ellen Garde
  • Åse Marie Hansen
  • Jolene Masters Pedersen
  • Erik Lykke Mortensen

Abstract

Background: Allostatic load has been suggested as a pathway through which experiences become biologically embedded to influence health. Research on childhood predictors of allostatic load has focused on socioeconomic and psychosocial exposures, while few studies include prospective measures of biomedical exposures. Further, findings on sex differences in the association of childhood predictors with various health outcomes related to allostatic load are ambiguous. Aims: To examine the influence of early life biomedical and social factors in the first year of life on midlife allostatic load, assessing potential sex differences. Methods: This prospective cohort study includes early life information collected at birth and a one year examination for 1,648 members of the Copenhagen Perinatal Cohort who also participated in the Copenhagen Aging and Midlife Biobank study (aged 49–52 years, 56% women). Allostatic load based on 14 biomarkers was selected as a measure of midlife health status. Early life factors were categorized as predominantly biomedical or social, and their associations with midlife allostatic load were examined in domain-specific and combined sex-stratified multiple regression models. Results: The biomedical factors model explained 6.6% of the variance in midlife allostatic load in men and 6.7% in women, while the social model explained 4.1% of the variance in men and 7.3% in women. For both sexes, parental socioeconomic position at one year and maternal BMI significantly predicted midlife allostatic load in a model containing all early life factors. For women, additional significant predictors were complications at birth, birth weight and not living with parents at one year. Conclusion: The results confirm an association of lower childhood socioeconomic position with higher adult allostatic load while demonstrating the importance of other prenatal and early life exposures and highlighting potential sex differences.

Suggested Citation

  • Dinne Skjærlund Christensen & Trine Flensborg-Madsen & Ellen Garde & Åse Marie Hansen & Jolene Masters Pedersen & Erik Lykke Mortensen, 2018. "Early life predictors of midlife allostatic load: A prospective cohort study," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-15, August.
  • Handle: RePEc:plo:pone00:0202395
    DOI: 10.1371/journal.pone.0202395
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0202395
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0202395&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0202395?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
    ---><---

    References listed on IDEAS

    as
    1. Langenberg, C. & Kuh, D. & Wadsworth, M.E.J. & Brunner, E. & Hardy, R., 2006. "Social circumstances and education: Life course origins of social inequalities in metabolic risk in a prospective national birth cohort," American Journal of Public Health, American Public Health Association, vol. 96(12), pages 2216-2221.
    2. Gruenewald, Tara L. & Karlamangla, Arun S. & Hu, Perry & Stein-Merkin, Sharon & Crandall, Carolyn & Koretz, Brandon & Seeman, Teresa E., 2012. "History of socioeconomic disadvantage and allostatic load in later life," Social Science & Medicine, Elsevier, vol. 74(1), pages 75-83.
    3. Khlat, Myriam & Jusot, Florence & Ville, Isabelle, 2009. "Social origins, early hardship and obesity: A strong association in women, but not in men?," Social Science & Medicine, Elsevier, vol. 68(9), pages 1692-1699, May.
    4. Jenifer Hamil-Luker & Angela O’rand, 2007. "Gender differences in the link between childhood socioeconomic conditions and heart attack risk in adulthood," Demography, Springer;Population Association of America (PAA), vol. 44(1), pages 137-158, February.
    5. Hugo Westerlund & Per E Gustafsson & Töres Theorell & Urban Janlert & Anne Hammarström, 2012. "Social Adversity in Adolescence Increases the Physiological Vulnerability to Job Strain in Adulthood: A Prospective Population-Based Study," PLOS ONE, Public Library of Science, vol. 7(4), pages 1-8, April.
    6. Turner, R. Jay & Thomas, Courtney S. & Brown, Tyson H., 2016. "Childhood adversity and adult health: Evaluating intervening mechanisms," Social Science & Medicine, Elsevier, vol. 156(C), pages 114-124.
    7. repec:dau:papers:123456789/265 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    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. Gustafsson, Per E. & Hammarström, Anne, 2012. "Socioeconomic disadvantage in adolescent women and metabolic syndrome in mid-adulthood: An examination of pathways of embodiment in the Northern Swedish Cohort," Social Science & Medicine, Elsevier, vol. 74(10), pages 1630-1638.
    2. Shawna Beese & Julie Postma & Janessa M. Graves, 2022. "Allostatic Load Measurement: A Systematic Review of Reviews, Database Inventory, and Considerations for Neighborhood Research," IJERPH, MDPI, vol. 19(24), pages 1-23, December.
    3. Kieron Barclay & Martin Kolk, 2015. "Birth Order and Mortality: A Population-Based Cohort Study," Demography, Springer;Population Association of America (PAA), vol. 52(2), pages 613-639, April.
    4. Walsemann, Katrina M. & Goosby, Bridget J. & Farr, Deeonna, 2016. "Life course SES and cardiovascular risk: Heterogeneity across race/ethnicity and gender," Social Science & Medicine, Elsevier, vol. 152(C), pages 147-155.
    5. Khlat, Myriam & Jusot, Florence & Ville, Isabelle, 2009. "Social origins, early hardship and obesity: A strong association in women, but not in men?," Social Science & Medicine, Elsevier, vol. 68(9), pages 1692-1699, May.
    6. Berg, Mark T. & Simons, Ronald L. & Barr, Ashley & Beach, Steven R.H. & Philibert, Robert A., 2017. "Childhood/Adolescent stressors and allostatic load in adulthood: Support for a calibration model," Social Science & Medicine, Elsevier, vol. 193(C), pages 130-139.
    7. Elgar, Frank J. & Gariépy, Geneviève & Torsheim, Torbjørn & Currie, Candace, 2017. "Early-life income inequality and adolescent health and well-being," Social Science & Medicine, Elsevier, vol. 174(C), pages 197-208.
    8. Jennifer Montez & Mark Hayward, 2014. "Cumulative Childhood Adversity, Educational Attainment, and Active Life Expectancy Among U.S. Adults," Demography, Springer;Population Association of America (PAA), vol. 51(2), pages 413-435, April.
    9. Frida Jonsson & Miguel San Sebastian & Lotta M J Strömsten & Anne Hammarström & Per E Gustafsson, 2016. "Life Course Pathways of Adversities Linking Adolescent Socioeconomic Circumstances and Functional Somatic Symptoms in Mid-Adulthood: A Path Analysis Study," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-16, May.
    10. Shen, Ke & Zeng, Yi, 2014. "Direct and indirect effects of childhood conditions on survival and health among male and female elderly in China," Social Science & Medicine, Elsevier, vol. 119(C), pages 207-214.
    11. Lee, Chioun & Ryff, Carol D., 2016. "Early parenthood as a link between childhood disadvantage and adult heart problems: A gender-based approach," Social Science & Medicine, Elsevier, vol. 171(C), pages 58-66.
    12. Fatiha Bennia & Nicolas Gravel & Brice Magdalou & Patrick Moyes, 2022. "Is body weight better distributed among men than among women? A robust normative analysis for France, the UK, and the US," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(1), pages 69-103, January.
    13. Seeman, Melvin & Stein Merkin, Sharon & Karlamangla, Arun & Koretz, Brandon & Seeman, Teresa, 2014. "Social status and biological dysregulation: The “status syndrome” and allostatic load," Social Science & Medicine, Elsevier, vol. 118(C), pages 143-151.
    14. Elizabeth M. Lawrence & Elisabeth Root & Stefanie Mollborn, 2015. "Residential mobility in early childhood," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 33(32), pages 939-950.
    15. Nicola Barban & Francesco C. Billari, 2012. "Classifying life course trajectories: a comparison of latent class and sequence analysis," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 61(5), pages 765-784, November.
    16. Tetyana Pudrovska & Benedicta Anikputa, 2014. "Editor's choice Early-Life Socioeconomic Status and Mortality in Later Life: An Integration of Four Life-Course Mechanisms," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 69(3), pages 451-460.
    17. Remco Benthem de Grave & Fred Hasselman & Erik Bijleveld, 2022. "From work stress to disease: A computational model," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-27, February.
    18. Barboza Solís, Cristina & Fantin, Romain & Castagné, Raphaële & Lang, Thierry & Delpierre, Cyrille & Kelly-Irving, Michelle, 2016. "Mediating pathways between parental socio-economic position and allostatic load in mid-life: Findings from the 1958 British birth cohort," Social Science & Medicine, Elsevier, vol. 165(C), pages 19-27.
    19. C Mary Schooling & Tai Hing Lam & G Neil Thomas & Benjamin J Cowling & Michelle Heys & Edward D Janus & Gabriel M Leung & for the Hong Kong Cardiovascular Risk Factor Prevalence Study Steering Committ, 2007. "Growth Environment and Sex Differences in Lipids, Body Shape and Diabetes Risk," PLOS ONE, Public Library of Science, vol. 2(10), pages 1-9, October.
    20. Thomas Leoni & Rainer Eppel, 2013. "Women's Work and Family Profiles over the Lifecourse and their Subsequent Health Outcomes – Evidence for Europe. WWWforEurope Working Paper No. 28," WIFO Studies, WIFO, number 46889, February.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0202395. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.