IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v75y2012i7p1263-1270.html

African-American/white differences in the age of menarche: Accounting for the difference

Author

Listed:
  • Reagan, Patricia B.
  • Salsberry, Pamela J.
  • Fang, Muriel Z.
  • Gardner, William P.
  • Pajer, Kathleen

Abstract

Lifetime health disparity between African-American and white females begins with lower birthweight and higher rates of childhood overweight. In adolescence, African-American girls experience earlier menarche. Understanding the origins of these health disparities is a national priority. There is growing literature suggesting that the life course health development model is a useful framework for studying disparities. The purpose of this study was to quantify the influence of explanatory factors from key developmental stages on the age of menarche and to determine how much of the overall race difference in age of menarche they could explain. The factors were maternal age of menarche, birthweight, poverty during early childhood (age 0 through 5 years), and child BMI z-scores at 6 years. The sample, drawn from the US National Longitudinal Surveys of Youth Child–Mother file, consisted of 2337 girls born between 1978 and 1998. Mean age of menarche in months was 144 for African-American girls and 150 for whites.

Suggested Citation

  • Reagan, Patricia B. & Salsberry, Pamela J. & Fang, Muriel Z. & Gardner, William P. & Pajer, Kathleen, 2012. "African-American/white differences in the age of menarche: Accounting for the difference," Social Science & Medicine, Elsevier, vol. 75(7), pages 1263-1270.
    • Handle: RePEc:eee:socmed:v:75:y:2012:i:7:p:1263-1270
    DOI: 10.1016/j.socscimed.2012.05.018
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953612004327
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.socscimed.2012.05.018?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Andrews,Donald W. K. & Stock,James H. (ed.), 2005. "Identification and Inference for Econometric Models," Cambridge Books, Cambridge University Press, number 9780521844413, January.
    2. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    3. Thomas N. Daymonti & Paul J. Andrisani, 1984. "Job Preferences, College Major, and the Gender Gap in Earnings," Journal of Human Resources, University of Wisconsin Press, vol. 19(3), pages 408-428.
    4. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    5. David Neumark, 1988. "Employers' Discriminatory Behavior and the Estimation of Wage Discrimination," Journal of Human Resources, University of Wisconsin Press, vol. 23(3), pages 279-295.
    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. Viola Angelini & Jochen Mierau, 2018. "Late-life health effects of teenage motherhood," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 39(41), pages 1081-1104.

    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. Jakub Picka, 2014. "Problém "public-private pay gap" v České republice [The Public-Private Pay Gap in the Czech Republic]," Politická ekonomie, Prague University of Economics and Business, vol. 2014(5), pages 662-682.
    2. Oscar Molina Tejerina & Luis Castro Peñarrieta, 2020. "Unexplained Wage Gaps in the Tradable and Nontradable Sectors: Cross-Sectional Evidence by Gender in Bolivia," Investigación & Desarrollo, Universidad Privada Boliviana, vol. 20(2), pages 5-23.
    3. Valientes, Rodger M., 2015. "Male-Female Wage-Gap Decomposition in Agriculture-Based Employment in the Philippines," Journal of Economics, Management & Agricultural Development, Journal of Economics, Management & Agricultural Development (JEMAD), vol. 1(01), June.
    4. C Dougherty, 2003. "Why is the Rate of Return to Schooling Higher For Women Than For Men?," CEP Discussion Papers dp0581, Centre for Economic Performance, LSE.
    5. Noe', Chiara, 2009. "Subject of degree and the gender wage gap: Evidence from Italy," MPRA Paper 47289, University Library of Munich, Germany.
    6. Vassilis Monastiriotis & Angelo Martelli, 2021. "Crisis, Adjustment and Resilience in the Greek Labor Market: An Unemployment Decomposition Approach," International Regional Science Review, , vol. 44(1), pages 85-112, January.
    7. Laetitia Hauret & Ludivine Martin & Nessrine Omrani & Donald R Williams, 2022. "How do HRM practices improve employee satisfaction?," Economic and Industrial Democracy, Department of Economic History, Uppsala University, Sweden, vol. 43(2), pages 972-996, May.
    8. Rebekka Christopoulou & Vassilis Monastiriotis, 2014. "The Greek Public Sector Wage Premium before the Crisis: Size, Selection and Relative Valuation of Characteristics," British Journal of Industrial Relations, London School of Economics, vol. 52(3), pages 579-602, September.
    9. Wayne A. Grove & Andrew Hussey & Michael Jetter, 2011. "The Gender Pay Gap Beyond Human Capital: Heterogeneity in Noncognitive Skills and in Labor Market Tastes," Journal of Human Resources, University of Wisconsin Press, vol. 46(4), pages 827-874.
    10. Huong Thu Le & Ha Trong Nguyen, 2018. "The evolution of the gender test score gap through seventh grade: new insights from Australia using unconditional quantile regression and decomposition," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-42, December.
    11. Diaz-Serrano, Luis & Raya, Josep M., 2014. "Mortgages, immigrants and discrimination: An analysis of the interest rates in Spain," Regional Science and Urban Economics, Elsevier, vol. 45(C), pages 22-32.
    12. Ben Jann, 2008. "A Stata implementation of the Blinder-Oaxaca decomposition," ETH Zurich Sociology Working Papers 5, ETH Zurich, Chair of Sociology, revised 14 May 2008.
    13. Laure Pasquier-Doumer, 2011. "Intergenerational Transmission of Self-Employed Status in the Informal Sector," World Bank Publications - Reports 27309, The World Bank Group.
    14. Chen, Yiu Por (Vincent) & Zhang, Yuan, 2018. "A decomposition method on employment and wage discrimination and its application in urban China (2002–2013)," World Development, Elsevier, vol. 110(C), pages 1-12.
    15. Powers, Daniel A. & Yun, Myeong-Su, 2009. "Multivariate Decomposition for Hazard Rate Models," IZA Discussion Papers 3971, Institute of Labor Economics (IZA).
    16. Leslie I. Boden & Monica Galizzi, 2003. "Income Losses of Women and Men Injured at Work," Journal of Human Resources, University of Wisconsin Press, vol. 38(3).
    17. Thomas Bauer & Mathias Sinning, 2010. "Blinder-Oaxaca decomposition for Tobit models," Applied Economics, Taylor & Francis Journals, vol. 42(12), pages 1569-1575.
    18. Daniela Piazzalunga & Maria Laura Di Tommaso, 2019. "The increase of the gender wage gap in Italy during the 2008-2012 economic crisis," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(2), pages 171-193, June.
    19. Liu, Hong & Fang, Hai & Zhao, Zhong, 2013. "Urban–rural disparities of child health and nutritional status in China from 1989 to 2006," Economics & Human Biology, Elsevier, vol. 11(3), pages 294-309.
    20. Yun Liang & John Gibson, 2017. "Location or Hukou: What Most Limits Fertility of Urban Women in China?," Asia and the Pacific Policy Studies, Wiley Blackwell, vol. 4(3), pages 527-540, September.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    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:eee:socmed:v:75:y:2012:i:7:p:1263-1270. 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.