IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0064418.html
   My bibliography  Save this article

Socioeconomic and Other Social Stressors and Biomarkers of Cardiometabolic Risk in Youth: A Systematic Review of Less Studied Risk Factors

Author

Listed:
  • Natalie Slopen
  • Elizabeth Goodman
  • Karestan C Koenen
  • Laura D Kubzansky

Abstract

Background: Socioeconomic disadvantage and other social stressors in childhood have been linked with cardiometabolic diseases in adulthood; however the mechanisms underlying these observed associations and the timing of their emergence are unclear. The aim of this review was to evaluate research that examined relationships between socioeconomic disadvantage and other social stressors in relation to less-studied cardiometabolic risk factors among youth, including carbohydrate metabolism-related factors, lipids, and central adiposity. Methods: We searched PubMed and ISI Web of Science to identify relevant publications between 2001 and 2013.Studies were selected based on 4 criteria: (1) the study examined an association between at least one social or economic stressor and one relevant outcome prior to age 21; (2) the sample originated from a high-income country; (3) the sample was not selected based on a health condition; and (4) a central aim was to evaluate the effect of the social or economic stressor on at least one relevant outcome. Abstracts were screened and relevant publications were obtained and evaluated for inclusion criteria. We abstracted data from selected articles, summarized them by exposures and outcomes, and assigned an evidence grade. Results: Our search identified 37 publications from 31 studies. Socioeconomic disadvantage was consistently associated with greater central adiposity. Research to date does not provide clear evidence of an association between childhood stressors and lipids or carbohydrate metabolism-related factors. Conclusions: This review demonstrates a paucity of research on the relationship of socioeconomic disadvantage and other social stressors to lipid and carbohydrate metabolism-related factors in youth. Accordingly, it is not possible to form strong conclusions, particularly with regard to stressors other than socioeconomic disadvantage. Findings are used to inform priorities for future research. An improved understanding of these pathways is critical for identifying novel prevention targets and intervention opportunities to protect the long-term health of children and adolescents.

Suggested Citation

  • Natalie Slopen & Elizabeth Goodman & Karestan C Koenen & Laura D Kubzansky, 2013. "Socioeconomic and Other Social Stressors and Biomarkers of Cardiometabolic Risk in Youth: A Systematic Review of Less Studied Risk Factors," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-12, May.
    • Handle: RePEc:plo:pone00:0064418
    DOI: 10.1371/journal.pone.0064418
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0064418
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0064418&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0064418?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. Murasko, Jason E., 2008. "Male-female differences in the association between socioeconomic status and atherosclerotic risk in adolescents," Social Science & Medicine, Elsevier, vol. 67(11), pages 1889-1897, December.
    2. Fernald, Lia C.H. & Gunnar, Megan R., 2009. "Poverty-alleviation program participation and salivary cortisol in very low-income children," Social Science & Medicine, Elsevier, vol. 68(12), pages 2180-2189, June.
    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. East, Patricia & Doom, Jenalee & Delker, Erin & Blanco, Estela & Burrows, Raquel & Correa-Burrows, Paulina & Lozoff, Betsy & Gahagan, Sheila, 2020. "Childhood socioeconomic hardship, family conflict, and young adult hypertension: The Santiago Longitudinal Study," Social Science & Medicine, Elsevier, vol. 253(C).

    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. Omar Galárraga & Sandra Sosa-Rubí & César Infante & Paul Gertler & Stefano Bertozzi, 2014. "Willingness-to-accept reductions in HIV risks: conditional economic incentives in Mexico," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(1), pages 41-55, January.
    2. Chen, Xi & Wang, Tianyu & Busch, Susan H., 2019. "Does money relieve depression? Evidence from social pension expansions in China," Social Science & Medicine, Elsevier, vol. 220(C), pages 411-420.
    3. Victoria Menil, 2015. "Missed Opportunities in Global Health: Identifying New Strategies to Improve Mental Health in LMICs," Working Papers id:7987, eSocialSciences.
    4. Clancy Blair & Douglas A. Granger & Michael Willoughby & Roger Mills-Koonce & Martha Cox & Mark T. Greenberg & Katie T. Kivlighan & Christine K. Fortunato & FLP Investigators, 2011. "Salivary Cortisol Mediates Effects of Poverty and Parenting on Executive Functions in Early Childhood," Working Papers 2011-019, Human Capital and Economic Opportunity Working Group.
    5. Cooper, Jan E. & Benmarhnia, Tarik & Koski, Alissa & King, Nicholas B., 2020. "Cash transfer programs have differential effects on health: A review of the literature from low and middle-income countries," Social Science & Medicine, Elsevier, vol. 247(C).
    6. Guido Neidhöfer & Miguel Niño‐Zarazúa, 2019. "The Long(er)‐Term Impacts of Chile Solidario on Human Capital and Labor Income," Population and Development Review, The Population Council, Inc., vol. 45(S1), pages 209-244, December.
    7. Clotilde Mahé & Philipp Hessel, 2022. "School-age exposure to conditional cash transfers and adult mental health: Evidence from Mexico’s Progresa," Documentos de trabajo 20155, Escuela de Gobierno - Universidad de los Andes.
    8. Guido Neidhöfer & Miguel Niño‐Zarazúa, 2019. "The Long(er)‐Term Impacts of Chile Solidario on Human Capital and Labor Income," Population and Development Review, The Population Council, Inc., vol. 45(S1), pages 209-244, December.
    9. Ana Maria Buller & Amber Peterman & Meghna Ranganathan & Alexandra Bleile & Melissa Hidrobo & Lori Heise, 2018. "A Mixed-Method Review of Cash Transfers and Intimate Partner Violence in Low- and Middle-Income Countries," The World Bank Research Observer, World Bank, vol. 33(2), pages 218-258.
    10. Martha J Bailey & Hilary Hoynes & Maya Rossin-Slater & Reed Walker, 2024. "Is the Social Safety Net a Long-Term Investment? Large-Scale Evidence From the Food Stamps Program," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(3), pages 1291-1330.
    11. Rick Mourits & Luuk Van Kempen, 2016. "How Do the Middle Class and the Poor Grow Apart? An Empirical Test of the Psychological Well-Being Pathway in Middle-Income Countries," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 28(5), pages 893-915, November.
    12. Benzeval, Michaela & Davillas, Apostolos & M. Jones, Andrew, 2017. "The income-health gradient: evidence from self-reported health and biomarkers using longitudinal data on income," ISER Working Paper Series 2017-03, Institute for Social and Economic Research.
    13. Stephanie T Broyles & Amanda E Staiano & Kathryn T Drazba & Alok K Gupta & Melinda Sothern & Peter T Katzmarzyk, 2012. "Elevated C-Reactive Protein in Children from Risky Neighborhoods: Evidence for a Stress Pathway Linking Neighborhoods and Inflammation in Children," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-8, September.
    14. Achyuta Adhvaryu & Teresa Molina & Anant Nyshadham & Jorge Tamayo, 2024. "Helping Children Catch Up: Early Life Shocks and the PROGRESA Experiment," The Economic Journal, Royal Economic Society, vol. 134(657), pages 1-22.
    15. Stephen Smith, 2018. "Development Economics Meets the Challenges of Lagging U.S. Areas: Applications to Education, Health and Nutrition, Behavior, and Infrastructure," Working Papers 2018-7, The George Washington University, Institute for International Economic Policy.
    16. Fernando Antonio Slaibe Postali & Maria Dolores M Diaz, Adriano Dutra Teixeira, Natalia Nunes Ferreira Batista, Rodrigo Moreno Serra, 2021. "Impact of primary care coverage on individual health: evidence from biomarkers in Brazil," Working Papers, Department of Economics 2021_01, University of São Paulo (FEA-USP).
    17. Eyal, Katherine & Burns, Justine, 2019. "The parent trap: Cash transfers and the intergenerational transmission of depressive symptoms in South Africa," World Development, Elsevier, vol. 117(C), pages 211-229.
    18. Hallegatte, Stephane & Bangalore, Mook & Bonzanigo, Laura & Fay, Marianne & Narloch, Ulf & Rozenberg, Julie & Vogt-Schilb, Adrien, 2014. "Climate change and poverty -- an analytical framework," Policy Research Working Paper Series 7126, The World Bank.
    19. Powell-Jackson, Timothy & Pereira, Shreya K. & Dutt, Varun & Tougher, Sarah & Haldar, Kaveri & Kumar, Paresh, 2016. "Cash transfers, maternal depression and emotional well-being: Quasi-experimental evidence from India’s Janani Suraksha Yojana programme," Social Science & Medicine, Elsevier, vol. 162(C), pages 210-218.
    20. Anna Krahel & Elzbieta Paszynska & Agnieszka Slopien & Maria Gawriolek & Justyna Otulakowska-Skrzynska & Szymon Rzatowski & Amadeusz Hernik & Tomasz Hanć & Ewa Bryl & Paula Szczesniewska & Karolina Bi, 2021. "Stress/Immune Biomarkers in Saliva among Children with ADHD Status," IJERPH, MDPI, vol. 18(2), pages 1-11, January.

    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:pone00:0064418. 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.