IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v181y2017icp17-23.html
   My bibliography  Save this article

The role of city income inequality, sex ratio and youth mortality rates in the effect of violent victimization on health-risk behaviors in Brazilian adolescents

Author

Listed:
  • Ramos, Dandara de Oliveira
  • Daly, Martin
  • Seidl-de-Moura, Maria Lucia
  • Nadanovsky, Paulo

Abstract

This study integrates insights from evolutionary psychology and social epidemiology to present a novel approach to contextual effects on health-risk behaviors (unprotected sex, drunkenness episodes, drugs and tobacco experimentation) among adolescents. Using data from the 2012 Brazilian National Survey of Adolescent Health (PeNSE), we first analyzed the effects of self-reported violent victimization on health-risk behaviors of 47,371 adolescents aged 10–19 nested in the 26 Brazilian state capitals and the Federal District. We then explored whether the magnitude of these associations was correlated with cues of environmental harshness and unpredictability (youth external mortality and income inequality) and mating competition (sex ratio) from the city level. Results indicated that self-reported violent victimization is associated with an increased chance of engagement in health-risk behaviors in all Brazilian state capitals, for both males and females, but the magnitude of these associations varies in relation to broader environmental factors, such as the cities' age-specific mortality rates, and specifically for females, income inequality and sex ratio. In addition to introducing a novel theoretical and empirical approach to contextual effects on adolescent health-risk behaviors, our findings reinforce the need to consider synergies between people's life experiences and the conditions where they live, when studying health-risk behaviors in adolescence.

Suggested Citation

  • Ramos, Dandara de Oliveira & Daly, Martin & Seidl-de-Moura, Maria Lucia & Nadanovsky, Paulo, 2017. "The role of city income inequality, sex ratio and youth mortality rates in the effect of violent victimization on health-risk behaviors in Brazilian adolescents," Social Science & Medicine, Elsevier, vol. 181(C), pages 17-23.
    • Handle: RePEc:eee:socmed:v:181:y:2017:i:c:p:17-23
    DOI: 10.1016/j.socscimed.2017.03.057
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953617302113
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.socscimed.2017.03.057?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. Hale, D.R. & Fitzgerald-Yau, N. & Viner, R.M., 2014. "A systematic review of effective interventions for reducing multiple health risk behaviors in adolescence," American Journal of Public Health, American Public Health Association, vol. 104(5), pages 19-41.
    2. Erzo F. P. Luttmer, 2005. "Neighbors as Negatives: Relative Earnings and Well-Being," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(3), pages 963-1002.
    3. Rogers, Alan R, 1994. "Evolution of Time Preference by Natural Selection," American Economic Review, American Economic Association, vol. 84(3), pages 460-481, June.
    4. Boynton-Jarrett, Renée & Hair, Elizabeth & Zuckerman, Barry, 2013. "Turbulent times: Effects of turbulence and violence exposure in adolescence on high school completion, health risk behavior, and mental health in young adulthood," Social Science & Medicine, Elsevier, vol. 95(C), pages 77-86.
    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. Senik, Claudia, 2009. "Direct evidence on income comparisons and their welfare effects," Journal of Economic Behavior & Organization, Elsevier, vol. 72(1), pages 408-424, October.
    2. De Neve, Jan-Emmanuel & Oswald, Andrew J., 2012. "Estimating the influence of life satisfaction and positive affect on later income using sibling fixed-effects," LSE Research Online Documents on Economics 51523, London School of Economics and Political Science, LSE Library.
    3. Andrew E. Clark, 2018. "Four Decades of the Economics of Happiness: Where Next?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(2), pages 245-269, June.
    4. Kanazawa, Satoshi, 2005. "Is "discrimination" necessary to explain the sex gap in earnings?," Journal of Economic Psychology, Elsevier, vol. 26(2), pages 269-287, April.
    5. García-Poole, Chloe & Byrne, Sonia & Rodrigo, María José, 2019. "How do communities intervene with adolescents at psychosocial risk? A systematic review of positive development programs," Children and Youth Services Review, Elsevier, vol. 99(C), pages 194-209.
    6. Francesco Andreoli & Eugenio Peluso, 2016. "So close yet so unequal: Reconsidering spatial inequality in U.S. cities," Working Papers 21/2016, University of Verona, Department of Economics.
    7. repec:hal:pseose:halshs-00566139 is not listed on IDEAS
    8. Maida, Agata & Pezone, Vincenzo, 2024. "CEO Pay Disclosure and Within-Firm Wage Inequality," IZA Discussion Papers 17243, Institute of Labor Economics (IZA).
    9. Rainer Winkelmann, 2009. "Unemployment, Social Capital, and Subjective Well-Being," Journal of Happiness Studies, Springer, vol. 10(4), pages 421-430, August.
    10. Ravallion, Martin, 2019. "Global inequality when unequal countries create unequal people," European Economic Review, Elsevier, vol. 111(C), pages 85-97.
    11. AndrewE. Clark & Claudia Senik, 2010. "Who Compares to Whom? The Anatomy of Income Comparisons in Europe," Economic Journal, Royal Economic Society, vol. 120(544), pages 573-594, May.
    12. Xiaogeng Xu & Satu Metsälampi & Michael Kirchler & Kaisa Kotakorpi & Peter Hans Matthews & Topi Miettinen, 2023. "Which income comparisons matter to people, and how? Evidence from a large field experiment," Working Papers 10, Finnish Centre of Excellence in Tax Systems Research.
    13. Hong, Yan-Zhen & Su, Yi-Ju & Chang, Hung-Hao, 2023. "Analyzing the relationship between income and life satisfaction of Forest farm households - a behavioral economics approach," Forest Policy and Economics, Elsevier, vol. 148(C).
    14. Magnus A. H. Gulbrandsen, 2021. "Peer effects and debt accumulation: Evidence from lottery winnings," Working Paper 2021/10, Norges Bank.
    15. Thomas Aronsson & Olof Johansson-Stenman, 2014. "When Samuelson Met Veblen Abroad: National and Global Public Good Provision when Social Comparisons Matter," Economica, London School of Economics and Political Science, vol. 81(322), pages 224-243, April.
    16. Duclos, Jean-Yves, 2006. "Liberté ou égalité?," L'Actualité Economique, Société Canadienne de Science Economique, vol. 82(4), pages 441-476, décembre.
    17. Oege Dijk, 2017. "For whom does social comparison induce risk-taking?," Theory and Decision, Springer, vol. 82(4), pages 519-541, April.
    18. Guinnane, Timothy W., 2023. "We Do Not Know the Population of Every Country in the World for the Past Two Thousand Years," The Journal of Economic History, Cambridge University Press, vol. 83(3), pages 912-938, September.
    19. Cheshire, Paul, 2009. "Policies for mixed communities: faith-based displacement activity?," LSE Research Online Documents on Economics 30783, London School of Economics and Political Science, LSE Library.
    20. Van Landeghem, Bert & Vandeplas, Anneleen, 2018. "The relationship between status and happiness: Evidence from the caste system in rural India," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 77(C), pages 62-71.
    21. Akay, Alpaslan & Martinsson, Peter, 2011. "Does relative income matter for the very poor? Evidence from rural Ethiopia," Economics Letters, Elsevier, vol. 110(3), pages 213-215, March.

    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:181:y:2017:i:c:p:17-23. 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.