IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0139217.html
   My bibliography  Save this article

Relationship of Serum Vitamin D Concentrations and Allostatic Load as a Measure of Cumulative Biological Risk among the US Population: A Cross-Sectional Study

Author

Listed:
  • Regina Frei
  • Sarah R Haile
  • Margot Mutsch
  • Sabine Rohrmann

Abstract

Introduction: The allostatic load (AL) index is a multi-systemic measure of physiologic dysregulation known to be associated with chronic exposure to stress and adverse health outcomes. We examined the relationship between AL and serum 25-hydroxyvitamin D (25(OH)D) concentration in non-institutionalized US adults. Methods: Data from the Third National Health and Nutrition Examination Survey (NHANES III, 1988–94) were used to calculate two versions of AL including 9 biomarkers and another two with 14 biomarkers (systolic and diastolic blood pressure, pulse rate, serum cholesterol, serum HDL-cholesterol, glycated hemoglobin, sex-specific waist-to-hip ratio, serum albumin, and serum C-reactive protein for AL1, and, additionally body mass index, serum triglyceride, serum creatinine, and serum herpes I & II antibodies for AL2), each set defined by predefined cut-offs or by quartiles. Serum vitamin D concentration was ranked into quartiles. Logistic regression, Poisson regression and linear regression were used to examine the association of serum 25(OH)D concentrations on AL, after adjusting for biological, physiological, socioeconomic, lifestyle, and health variables. Results: Odds Ratios (OR) for high AL of the lowest 25(OH)D serum quartile were between 1.45 (95% CI: 1.28, 1.67) and 1.79 (95% CI: 1.39, 2.32) for the fully adjusted model, depending on AL version. Inverse relationships between vitamin D serum concentrations were observed for all AL versions and every adjustment. This relationship was consistent after stratification by sex, age or ethnic background. Sensitivity to low 25(OH)D concentrations was highest among the youngest group (20–39 years) with an OR of 2.11 (95% CI: 1.63, 2.73) for the lowest vitamin D quartile Q1. Conclusions: Vitamin D had a consistent and statistically significant inverse association with all tested models of high AL, which remained consistent after adjusting for biological, socioeconomic, lifestyle and health variables. Our study adds evidence linking low 25(OH)D concentrations with poorer health, further-reaching than bone health.

Suggested Citation

  • Regina Frei & Sarah R Haile & Margot Mutsch & Sabine Rohrmann, 2015. "Relationship of Serum Vitamin D Concentrations and Allostatic Load as a Measure of Cumulative Biological Risk among the US Population: A Cross-Sectional Study," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-17, October.
    • Handle: RePEc:plo:pone00:0139217
    DOI: 10.1371/journal.pone.0139217
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0139217
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0139217&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0139217?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. Au, Nicole & Johnston, David W., 2014. "Self-assessed health: What does it mean and what does it hide?," Social Science & Medicine, Elsevier, vol. 121(C), pages 21-28.
    2. Ford, E.S. & Zhao, G. & Tsai, J. & Li, C., 2011. "Low-Risk lifestyle behaviors and all-cause mortality: Findings from the national health and nutrition examination survey III mortality study," American Journal of Public Health, American Public Health Association, vol. 101(10), pages 1922-1929.
    3. Geronimus, A.T. & Hicken, M. & Keene, D. & Bound, J., 2006. ""Weathering" and age patterns of allostatic load scores among blacks and whites in the United States," American Journal of Public Health, American Public Health Association, vol. 96(5), pages 826-833.
    4. Vie, Tina Løkke & Hufthammer, Karl Ove & Holmen, Turid Lingaas & Meland, Eivind & Breidablik, Hans Johan, 2014. "Is self-rated health a stable and predictive factor for allostatic load in early adulthood? Findings from the Nord Trøndelag Health Study (HUNT)," Social Science & Medicine, Elsevier, vol. 117(C), pages 1-9.
    5. Seeman, Teresa & Glei, Dana & Goldman, Noreen & Weinstein, Maxine & Singer, Burt & Lin, Yu-Hsuan, 2004. "Social relationships and allostatic load in Taiwanese elderly and near elderly," Social Science & Medicine, Elsevier, vol. 59(11), pages 2245-2257, December.
    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. Mary Rodríguez-Rabassa & Pablo López & Raphael Sánchez & Cyanela Hernández & Cesarly Rodríguez & Ronald E. Rodríguez-Santiago & Juan C. Orengo & Vivian Green & Yasuhiro Yamamura & Vanessa Rivera-Amill, 2020. "Inflammatory Biomarkers, Microbiome, Depression, and Executive Dysfunction in Alcohol Users," IJERPH, MDPI, vol. 17(3), pages 1-24, January.
    2. Justin Xavier Moore & Sydney Elizabeth Andrzejak & Tracy Casanova & Marvin E. Langston & Søren Estvold & Prajakta Adsul, 2023. "Investigating the Joint Effect of Allostatic Load among Lesbian, Gay, and Bisexual Adults with Risk of Cancer Mortality," IJERPH, MDPI, vol. 20(12), pages 1-15, June.
    3. 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.

    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. Bierman, Alex & Upenieks, Laura & Glavin, Paul & Schieman, Scott, 2021. "Accumulation of economic hardship and health during the COVID-19 pandemic: Social causation or selection?," Social Science & Medicine, Elsevier, vol. 275(C).
    2. Davillas, Apostolos & Pudney, Stephen, 2020. "Biomarkers, disability and health care demand," Economics & Human Biology, Elsevier, vol. 39(C).
    3. 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.
    4. Davillas, Apostolos & Pudney, Stephen, 2020. "Using biomarkers to predict healthcare costs: Evidence from a UK household panel," Journal of Health Economics, Elsevier, vol. 73(C).
    5. Tierney, Katherine, 2020. "Is there evidence of weathering among women seeking fertility treatments?: Evidence and insights," Social Science & Medicine, Elsevier, vol. 247(C).
    6. Barry, L.E. & O'Neill, S. & Heaney, L.G. & O'Neill, C., 2021. "Stress-related health depreciation: Using allostatic load to predict self-rated health," Social Science & Medicine, Elsevier, vol. 283(C).
    7. Needham, Belinda L. & Adler, Nancy & Gregorich, Steven & Rehkopf, David & Lin, Jue & Blackburn, Elizabeth H. & Epel, Elissa S., 2013. "Socioeconomic status, health behavior, and leukocyte telomere length in the National Health and Nutrition Examination Survey, 1999–2002," Social Science & Medicine, Elsevier, vol. 85(C), pages 1-8.
    8. Davillas, Apostolos & Pudney, Stephen, 2019. "Baseline health and public healthcare costs five years on: a predictive analysis using biomarker data in a prospective household panel," ISER Working Paper Series 2019-01, Institute for Social and Economic Research.
    9. David H Chae & Sean Clouston & Mark L Hatzenbuehler & Michael R Kramer & Hannah L F Cooper & Sacoby M Wilson & Seth I Stephens-Davidowitz & Robert S Gold & Bruce G Link, 2015. "Association between an Internet-Based Measure of Area Racism and Black Mortality," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-12, April.
    10. Mozhaeva, Irina, 2022. "Inequalities in utilization of institutional care among older people in Estonia," Health Policy, Elsevier, vol. 126(7), pages 704-714.
    11. Sirois, Catherine, 2020. "The strain of sons' incarceration on mothers’ health," Social Science & Medicine, Elsevier, vol. 264(C).
    12. Hill, Terrence D. & Ellison, Christopher G. & Burdette, Amy M. & Taylor, John & Friedman, Katherine L., 2016. "Dimensions of religious involvement and leukocyte telomere length," Social Science & Medicine, Elsevier, vol. 163(C), pages 168-175.
    13. Cassandra Robertson & Rourke O’Brien, 2018. "Health Endowment at Birth and Variation in Intergenerational Economic Mobility: Evidence From U.S. County Birth Cohorts," Demography, Springer;Population Association of America (PAA), vol. 55(1), pages 249-269, February.
    14. Mullahy, John, 2024. "Analyzing health outcomes measured as bounded counts," Journal of Health Economics, Elsevier, vol. 95(C).
    15. Brown, Laura J & Sear, Rebecca, 2020. "Do parenting, reproductive and health traits cluster together in distinct trajectories? Evidence from two UK cohort studies," OSF Preprints r8jvw, Center for Open Science.
    16. Matthews, Karen A. & Schwartz, Joseph E. & Cohen, Sheldon, 2011. "Indices of socioeconomic position across the life course as predictors of coronary calcification in black and white men and women: Coronary artery risk development in young adults study," Social Science & Medicine, Elsevier, vol. 73(5), pages 768-774, September.
    17. Touma, Fatima & Hummer, Robert A., 2022. "Race/ethnicity, immigrant generation, and physiological dysregulation among U.S. adults entering midlife," Social Science & Medicine, Elsevier, vol. 314(C).
    18. Lee, Shih-Yu & Hsu, Hui-Chin, 2012. "Stress and health-related well-being among mothers with a low birth weight infant: The role of sleep," Social Science & Medicine, Elsevier, vol. 74(7), pages 958-965.
    19. Thompson, Owen, 2011. "Racial disparities in the cognition-health relationship," Journal of Health Economics, Elsevier, vol. 30(2), pages 328-339, March.
    20. Liliya Leopold, 2019. "Health Measurement and Health Inequality Over the Life Course: A Comparison of Self-rated Health, SF-12, and Grip Strength," Demography, Springer;Population Association of America (PAA), vol. 56(2), pages 763-784, April.

    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:pone00:0139217. 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.