IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0223311.html
   My bibliography  Save this article

Testing gene by community disadvantage moderation of sexual health outcomes among urban women

Author

Listed:
  • Terrinieka W Powell
  • Jill A Rabinowitz
  • Michelle R Kaufman
  • Adam J Milam
  • Kelly Benke
  • Danielle Y Sisto
  • George Uhl
  • Brion S Maher
  • Nicholas S Ialongo

Abstract

We examined whether the interplay between community disadvantage and a conduct disorder polygenic risk score (CD PRS) was associated with sexual health outcomes among urban women. Participants (N = 511; 75.5% African American) were originally recruited to participate in a school-based intervention and were followed into adulthood. Community disadvantage was calculated using census data when participants were in first grade. At age 20, blood or saliva samples were collected and participants reported on their condom use, sexual partners, and sexually transmitted infections. A CD PRS was created based on a genome-wide association study conducted by Dick et al. [2010]. Higher levels of community disadvantage was associated with greater sexually transmitted infections among women with a higher CD PRS. Implications of the study findings are discussed.

Suggested Citation

  • Terrinieka W Powell & Jill A Rabinowitz & Michelle R Kaufman & Adam J Milam & Kelly Benke & Danielle Y Sisto & George Uhl & Brion S Maher & Nicholas S Ialongo, 2019. "Testing gene by community disadvantage moderation of sexual health outcomes among urban women," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-12, October.
  • Handle: RePEc:plo:pone00:0223311
    DOI: 10.1371/journal.pone.0223311
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0223311
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0223311&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0223311?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. Hilbe,Joseph M., 2014. "Modeling Count Data," Cambridge Books, Cambridge University Press, number 9781107028333, October.
    2. Huang, Jin & Barnidge, Ellen, 2016. "Low-income Children's participation in the National School Lunch Program and household food insufficiency," Social Science & Medicine, Elsevier, vol. 150(C), pages 8-14.
    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. Luiz Paulo Fávero & Joseph F. Hair & Rafael de Freitas Souza & Matheus Albergaria & Talles V. Brugni, 2021. "Zero-Inflated Generalized Linear Mixed Models: A Better Way to Understand Data Relationships," Mathematics, MDPI, vol. 9(10), pages 1-28, May.
    2. Wu, Jiang & Ou, Guiyan & Liu, Xiaohui & Dong, Ke, 2022. "How does academic education background affect top researchers’ performance? Evidence from the field of artificial intelligence," Journal of Informetrics, Elsevier, vol. 16(2).
    3. Tiziana Pagnani & Elisabetta Gotor & Enoch Kikulwe & Francesco Caracciolo, 2021. "Livelihood assets’ influence on Ugandan farmers’ control practices for Banana Xanthomonas Wilt (BXW)," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 9(1), pages 1-19, December.
    4. Mutz, Rüdiger & Daniel, Hans-Dieter, 2018. "The bibliometric quotient (BQ), or how to measure a researcher’s performance capacity: A Bayesian Poisson Rasch model," Journal of Informetrics, Elsevier, vol. 12(4), pages 1282-1295.
    5. Kimberly S. Weems & Paul J. Smith, 2018. "Assessing the robustness of estimators when fitting Poisson inverse Gaussian models," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 81(8), pages 985-1004, November.
    6. Chiara Bocci & Laura Grassini & Emilia Rocco, 2021. "A multiple inflated negative binomial hurdle regression model: analysis of the Italians’ tourism behaviour during the Great Recession," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(4), pages 1109-1133, October.
    7. Ralston, Katherine & Treen, Katie & Coleman-Jensen, Alisha & Guthrie, Joanne, 2017. "Children’s Food Security and USDA Child Nutrition Programs," Economic Information Bulletin 259730, United States Department of Agriculture, Economic Research Service.
    8. Chih-Hsing Sam Liu & Jun-You Lin & Sheng-Fang Chou, 2022. "Wielding a double-edged sword? JV investment geographic diversity and parent's innovation," Review of Managerial Science, Springer, vol. 16(6), pages 1783-1816, August.
    9. Lutz Bornmann & Robin Haunschild & Rüdiger Mutz, 2021. "Growth rates of modern science: a latent piecewise growth curve approach to model publication numbers from established and new literature databases," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-15, December.
    10. Amar Anwar & Ichiro Iwasaki, 2022. "Institutions and FDI from BRICS countries: a meta-analytic review," Empirical Economics, Springer, vol. 63(1), pages 417-468, July.
    11. Maniezzo, Vittorio & Boschetti, Marco A. & Gutjahr, Walter J., 2021. "Stochastic premarshalling of block stacking warehouses," Omega, Elsevier, vol. 102(C).
    12. Enrico Di Bella & Lucia Fontana & Lucia Leporatti & Marcello Montefiori & Paolo Petralia, 2016. "Analisi socio-economica degli accessi ripetuti al pronto soccorso pediatrico: il caso dell?Istituto G. Gaslini di Genova," STUDI ECONOMICI, FrancoAngeli Editore, vol. 2016(118-119-1), pages 312-327.
    13. Davis, Will & Kreisman, Daniel & Musaddiq, Tareena, 2023. "The Effect of Universal Free School Meals on Child BMI," IZA Discussion Papers 16387, Institute of Labor Economics (IZA).
    14. Solymosi, Reka & Petcu, Oana & Wilkinson, Jack, 2020. "Exploring public engagement with missing person appeals on Twitter," SocArXiv wugxs, Center for Open Science.
    15. Aloys Prinz, 2016. "Do capitalistic institutions breed billionaires?," Empirical Economics, Springer, vol. 51(4), pages 1319-1332, December.
    16. Christophe Biernacki & Alexandre Lourme, 2019. "Unifying data units and models in (co-)clustering," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 13(1), pages 7-31, March.
    17. Geng, Xi & Xia, Aihua, 2022. "When is the Conway–Maxwell–Poisson distribution infinitely divisible?," Statistics & Probability Letters, Elsevier, vol. 181(C).
    18. Smith, David M. & Faddy, Malcolm J., 2016. "Mean and Variance Modeling of Under- and Overdispersed Count Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 69(i06).
    19. Moritz Berger & Gerhard Tutz, 2021. "Transition models for count data: a flexible alternative to fixed distribution models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(4), pages 1259-1283, October.
    20. Carrie B. Myers & Scott M. Myers & Martha Peters, 2019. "The Longitudinal Connections Between Undergraduate High Impact Curriculum Practices and Civic Engagement in Adulthood," Research in Higher Education, Springer;Association for Institutional Research, vol. 60(1), pages 83-110, 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:pone00:0223311. 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.