IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v73y2011i1p22-32.html
   My bibliography  Save this article

Determinants and beliefs of health information mavens among a lower-socioeconomic position and minority population

Author

Listed:
  • Kontos, Emily Z.
  • Emmons, Karen M.
  • Puleo, Elaine
  • Viswanath, K.

Abstract

People of lower-socioeconomic position (SEP) and most racial/ethnic minorities face significant communication challenges which may negatively impact their health. Previous research has shown that these groups rely heavily on interpersonal sources to share and receive health information; however, little is known about these lay sources. The purpose of this paper is to apply the concept of a market maven to the public health sector with the aims of identifying determinants of high health information mavenism among low-SEP and racial/ethnic minority groups and to assess the information they may be sharing based on their own health beliefs. Data for this study were drawn from the baseline survey (n = 325) of a US randomized control intervention study aimed at eliciting an understanding of Internet-related challenges among lower-SEP and minority individuals. Regression models were estimated to distinguish significant determinants of health information mavenism among the sample. Similarly, bivariate and logistic multivariable models were estimated to determine the association between health information mavenism and accurate health beliefs relating to diet, physical activity and smoking. The data illustrate that having a larger social network, being female and being older were important factors associated with higher mavenism scores. Additionally being a moderate consumer of general media as well as fewer years in the US and lower language acculturation were significant predictors of higher mavenism scores. Mavens were more likely than non-mavens to maintain accurate beliefs regarding diet; however, there was no distinction between physical activity and smoking beliefs between mavens and non-mavens. These results offer a unique understanding of health information mavenism which could better leverage word-of-mouth health communication efforts among lower-SEP and minority groups in order to reduce communication inequalities. Moreover, the data indicate that health information mavens may serve as an ideal point of intervention in attempts to modify health beliefs with the goal of reducing health disparities among these populations.

Suggested Citation

  • Kontos, Emily Z. & Emmons, Karen M. & Puleo, Elaine & Viswanath, K., 2011. "Determinants and beliefs of health information mavens among a lower-socioeconomic position and minority population," Social Science & Medicine, Elsevier, vol. 73(1), pages 22-32, July.
  • Handle: RePEc:eee:socmed:v:73:y:2011:i:1:p:22-32
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953611002668
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Smith, Sian K. & Dixon, Ann & Trevena, Lyndal & Nutbeam, Don & McCaffery, Kirsten J., 2009. "Exploring patient involvement in healthcare decision making across different education and functional health literacy groups," Social Science & Medicine, Elsevier, vol. 69(12), pages 1805-1812, December.
    2. Osypuk, Theresa L. & Bates, Lisa M. & Acevedo-Garcia, Dolores, 2010. "Another Mexican birthweight paradox? The role of residential enclaves and neighborhood poverty in the birthweight of Mexican-origin infants," Social Science & Medicine, Elsevier, vol. 70(4), pages 550-560, February.
    3. Jane Griffin, 1995. "Health Information and the Consumer," Monograph 000412, Office of Health Economics.
    4. Cotten, Shelia R & Gupta, Sipi S, 2004. "Characteristics of online and offline health information seekers and factors that discriminate between them," Social Science & Medicine, Elsevier, vol. 59(9), pages 1795-1806, November.
    5. Osypuk, Theresa L. & Diez Roux, Ana V. & Hadley, Craig & Kandula, Namratha R., 2009. "Are immigrant enclaves healthy places to live? The Multi-ethnic Study of Atherosclerosis," Social Science & Medicine, Elsevier, vol. 69(1), pages 110-120, July.
    6. Sorensen, G. & Barbeau, E. & Stoddard, A.M. & Hunt, M.K. & Kaphingst, K. & Wallace, L., 2005. "Promoting behavior change among working-class, multiethnic workers: Results of the healthy directions - Small business study," American Journal of Public Health, American Public Health Association, vol. 95(8), pages 1389-1395.
    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. Sato, Koryu & Viswanath, Kasisomayajula & Hayashi, Hana & Ishikawa, Yoshiki & Kondo, Katsunori & Shirai, Kokoro & Kondo, Naoki & Nakagawa, Keisuke & Kawachi, Ichiro, 2019. "Association between exposure to health information and mortality: Reduced mortality among women exposed to information via TV programs," Social Science & Medicine, Elsevier, vol. 221(C), pages 124-131.
    2. Forthofer, Melinda & Burroughs-Girardi, Ericka & Stoisor-Olsson, Liliana & Wilcox, Sara & Sharpe, Patricia A. & Pekuri, Linda M., 2016. "Use of formative research and social network theory to develop a group walking intervention: Sumter County on the Move!," Evaluation and Program Planning, Elsevier, vol. 58(C), pages 28-34.

    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. Li, Kelin & Wen, Ming & Henry, Kevin A., 2017. "Ethnic density, immigrant enclaves, and Latino health risks: A propensity score matching approach," Social Science & Medicine, Elsevier, vol. 189(C), pages 44-52.
    2. Janevic, T. & Borrell, L.N. & Savitz, D.A. & Echeverria, S.E. & Rundle, A., 2014. "Ethnic enclaves and gestational diabetes among immigrant women in New York City," Social Science & Medicine, Elsevier, vol. 120(C), pages 180-189.
    3. Akresh, Ilana Redstone & Do, D. Phuong & Frank, Reanne, 2016. "Segmented assimilation, neighborhood disadvantage, and Hispanic immigrant health," Social Science & Medicine, Elsevier, vol. 149(C), pages 114-121.
    4. Vang, Zoua M. & Elo, Irma T., 2013. "Exploring the health consequences of majority–minority neighborhoods: Minority diversity and birthweight among native-born and foreign-born blacks," Social Science & Medicine, Elsevier, vol. 97(C), pages 56-65.
    5. Viruell-Fuentes, Edna A. & Miranda, Patricia Y. & Abdulrahim, Sawsan, 2012. "More than culture: Structural racism, intersectionality theory, and immigrant health," Social Science & Medicine, Elsevier, vol. 75(12), pages 2099-2106.
    6. Diane Coffey & Ashwini Deshpande & Jeffrey Hammer & Dean Spears, 2019. "Local Social Inequality, Economic Inequality, and Disparities in Child Height in India," Demography, Springer;Population Association of America (PAA), vol. 56(4), pages 1427-1452, August.
    7. Rodríguez, Elsa Mirta M. & Lacaze, María Victoria & Lupín, Beatriz, 2007. "Willingness to pay for organic food in Argentina: evidence from a consumer survey," Nülan. Deposited Documents 1300, Universidad Nacional de Mar del Plata, Facultad de Ciencias Económicas y Sociales, Centro de Documentación.
    8. Yanrong Qiu & Kaihuai Liao & Yanting Zou & Gengzhi Huang, 2022. "A Bibliometric Analysis on Research Regarding Residential Segregation and Health Based on CiteSpace," IJERPH, MDPI, vol. 19(16), pages 1-21, August.
    9. Tse-Chuan Yang & Stephen A Matthews, 2015. "Death by Segregation: Does the Dimension of Racial Segregation Matter?," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-26, September.
    10. Schmidt, Henrike & Wild, Eva-Maria & Schreyögg, Jonas, 2021. "Explaining variation in health information seeking behaviour – Insights from a multilingual survey," Health Policy, Elsevier, vol. 125(5), pages 618-626.
    11. Ruth Koops van ‘t Jagt & Shu Ling Tan & John Hoeks & Sophie Spoorenberg & Sijmen A. Reijneveld & Andrea F. de Winter & Sonia Lippke & Carel Jansen, 2019. "Using Photo Stories to Support Doctor-Patient Communication: Evaluating a Communicative Health Literacy Intervention for Older Adults," IJERPH, MDPI, vol. 16(19), pages 1-18, October.
    12. Paudel, Laxmi & Adhikari, Murali & Houston, Jack E., 2005. "Assessing the Impacts of Low Carbohydrate Related Health Information on the Market Demand for US Vegetables," 2005 Annual meeting, July 24-27, Providence, RI 19541, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    13. Simona Buscemi & Antonella Plaia, 2020. "Model selection in linear mixed-effect models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 104(4), pages 529-575, December.
    14. Yadavalli, Anita & Jones, Keithly, 2014. "Does media influence consumer demand? The case of lean finely textured beef in the United States," Food Policy, Elsevier, vol. 49(P1), pages 219-227.
    15. K. P. M. Winssen & R. C. Kleef & W. P. M. M. Ven, 2017. "A voluntary deductible in health insurance: the more years you opt for it, the lower your premium?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(2), pages 209-226, March.
    16. K. P. M. Winssen & R. C. Kleef & W. P. M. M. Ven, 2018. "Can premium differentiation counteract adverse selection in the Dutch supplementary health insurance? A simulation study," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(5), pages 757-768, June.
    17. Fiva, Jon H. & Hægeland, Torbjørn & Rønning, Marte & Syse, Astri, 2014. "Access to treatment and educational inequalities in cancer survival," Journal of Health Economics, Elsevier, vol. 36(C), pages 98-111.
    18. Letizia Lo Presti & Mario Testa & Vittoria Marino & Pierpaolo Singer, 2019. "Engagement in Healthcare Systems: Adopting Digital Tools for a Sustainable Approach," Sustainability, MDPI, vol. 11(1), pages 1-15, January.
    19. Brewer, Mackenzie & Kimbro, Rachel Tolbert, 2014. "Neighborhood context and immigrant children's physical activity," Social Science & Medicine, Elsevier, vol. 116(C), pages 1-9.
    20. Yi, Stella S. & Ruff, Ryan R. & Jung, Molly & Waddell, Elizabeth Needham, 2014. "Racial/ethnic residential segregation, neighborhood poverty and urinary biomarkers of diet in New York City adults," Social Science & Medicine, Elsevier, vol. 122(C), pages 122-129.

    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:73:y:2011:i:1:p:22-32. 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.