IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2020i1p180-d469853.html
   My bibliography  Save this article

Staying Home, Distancing, and Face Masks: COVID-19 Prevention among U.S. Women in The COPE Study

Author

Listed:
  • Katherine M. Anderson

    (Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California San Diego, La Jolla, CA 92093, USA
    Department of Behavioral, Social, and Health Education Sciences, Emory University Rollins School of Public Health, Atlanta, GA 30322, USA)

  • Jamila K. Stockman

    (Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California San Diego, La Jolla, CA 92093, USA)

Abstract

The novel coronavirus (COVID-19) pandemic has significantly impacted United States residents. Prevention behaviors are critical to minimizing transmission of SARS-CoV-2 in the U.S., to ultimately reduce the health, social, and economic burdens of COVID-19. Yet, health behavior decision-making is complex, and uptake of preventative behaviors has been variable. Women may provide pro-prevention behavior modeling to their networks, facilitating uptake diffusion. The COPE Study enrolled 491 women residing in the United States from May to June of 2020; women completed an online survey of COVID-19 experiences and prevention behaviors. We employed binary logistic modeling to identify factors predicting women’s practice of (1) staying home except for essential activities, (2) physical distancing in public, and (3) wearing a face mask in public. Findings demonstrate that women’s prevention behaviors are influenced by multilevel factors. Women living in urban environments, having minimal formal education, or having a household annual income of USD 30,000–50,000 are less likely to practice prevention behaviors. Cultural context may be an important factor in the decision-making process. Results aid in the identification what interventional “levers” may warrant consideration to promote uptake of such behaviors, and whom to engage. Because women are modelers of behavior, it is critical to engage them in prevention behavior interventions.

Suggested Citation

  • Katherine M. Anderson & Jamila K. Stockman, 2020. "Staying Home, Distancing, and Face Masks: COVID-19 Prevention among U.S. Women in The COPE Study," IJERPH, MDPI, vol. 18(1), pages 1-14, December.
    • Handle: RePEc:gam:jijerp:v:18:y:2020:i:1:p:180-:d:469853
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/1/180/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/1/180/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Allcott, Hunt & Boxell, Levi & Conway, Jacob & Gentzkow, Matthew & Thaler, Michael & Yang, David, 2020. "Polarization and public health: Partisan differences in social distancing during the coronavirus pandemic," Journal of Public Economics, Elsevier, vol. 191(C).
    2. Robert West & Susan Michie & G. James Rubin & Richard Amlôt, 2020. "Applying principles of behaviour change to reduce SARS-CoV-2 transmission," Nature Human Behaviour, Nature, vol. 4(5), pages 451-459, May.
    3. Umberson, Debra, 1992. "Gender, marital status and the social control of health behavior," Social Science & Medicine, Elsevier, vol. 34(8), pages 907-917, April.
    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. Nejc Plohl & Bojan Musil, 2022. "Understanding, Trusting, and Applying Scientific Insights to Improve Your Health: A Latent Profile Analysis Approach," IJERPH, MDPI, vol. 19(16), pages 1-16, August.

    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. Borau, Sylvie & Couprie, Hélène & Hopfensitz, Astrid, 2022. "The prosociality of married people: Evidence from a large multinational sample," Journal of Economic Psychology, Elsevier, vol. 92(C).
    2. Michael Becher & Daniel Stegmueller & Sylvain Brouard & Eric Kerrouche, 2021. "Ideology and compliance with health guidelines during the COVID‐19 pandemic: A comparative perspective," Social Science Quarterly, Southwestern Social Science Association, vol. 102(5), pages 2106-2123, September.
    3. Avinash Collis & Kiran Garimella & Alex Moehring & M. Amin Rahimian & Stella Babalola & Nina H. Gobat & Dominick Shattuck & Jeni Stolow & Sinan Aral & Dean Eckles, 2022. "Global survey on COVID-19 beliefs, behaviours and norms," Nature Human Behaviour, Nature, vol. 6(9), pages 1310-1317, September.
    4. Jacek Rothert, 2020. "Optimal federal redistribution during the uncoordinated response to a pandemic," Departmental Working Papers 64, United States Naval Academy Department of Economics.
    5. G. Miller & Yuriy Pylypchuk, 2014. "Marital Status, Spousal Characteristics, and the Use of Preventive Care," Journal of Family and Economic Issues, Springer, vol. 35(3), pages 323-338, September.
    6. Subramanian, S.V. & Elwert, Felix & Christakis, Nicholas, 2008. "Widowhood and mortality among the elderly: The modifying role of neighborhood concentration of widowed individuals," Social Science & Medicine, Elsevier, vol. 66(4), pages 873-884, February.
    7. Bidisha Mandal & Nilton Porto & D. Elizabeth Kiss & Soo Hyun Cho & Lorna Saboe‐Wounded Head, 2023. "Health insurance coverage during the COVID‐19 pandemic: The role of Medicaid expansion," Journal of Consumer Affairs, Wiley Blackwell, vol. 57(1), pages 296-319, January.
    8. Lou, Jiehong & Shen, Xingchi & Niemeier, Deb, 2020. "Are stay-at-home orders more difficult to follow for low-income groups?," Journal of Transport Geography, Elsevier, vol. 89(C).
    9. Louis-Philippe Beland & Abel Brodeur & Taylor Wright, 2020. "COVID-19, Stay-at-Home Orders and Employment: Evidence from CPS Data," Carleton Economic Papers 20-04, Carleton University, Department of Economics, revised 19 May 2020.
    10. Aldo Carranza & Marcel Goic & Eduardo Lara & Marcelo Olivares & Gabriel Y. Weintraub & Julio Covarrubia & Cristian Escobedo & Natalia Jara & Leonardo J. Basso, 2022. "The Social Divide of Social Distancing: Shelter-in-Place Behavior in Santiago During the Covid-19 Pandemic," Management Science, INFORMS, vol. 68(3), pages 2016-2027, March.
    11. Nicola Fuchs-Schündeln & Dirk Krueger & André Kurmann & Etienne Lalé & Alexander Ludwig & Irina Popova, 2023. "The Fiscal and Welfare Effects of Policy Responses to the Covid-19 School Closures," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(1), pages 35-98, March.
    12. Nicholas W. Papageorge & Matthew V. Zahn & Michèle Belot & Eline Broek-Altenburg & Syngjoo Choi & Julian C. Jamison & Egon Tripodi, 2021. "Socio-demographic factors associated with self-protecting behavior during the Covid-19 pandemic," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(2), pages 691-738, April.
    13. Pollitt, Amanda M. & Donnelly, Rachel & Mernitz, Sara E. & Umberson, Debra, 2020. "Differences in how spouses influence each other's alcohol use in same- and different-sex marriages: A daily diary study," Social Science & Medicine, Elsevier, vol. 264(C).
    14. Alexander Dietrich & Edward S. Knotek & Keith Kuester & Gernot J. Müller & Kristian Ove R. Myrseth & Raphael Schoenle & Michael Weber, 2020. "Consumers and COVID-19: A Real-Time Survey," Economic Commentary, Federal Reserve Bank of Cleveland, vol. 2020(08), pages 1-6, April.
    15. Shanike J. Smart & Solomon W. Polachek, 2024. "COVID-19 vaccine and risk-taking," Journal of Risk and Uncertainty, Springer, vol. 68(1), pages 25-49, February.
    16. Anindya Ghose & Beibei Li & Meghanath Macha & Chenshuo Sun & Natasha Ying Zhang Foutz, 2020. "Trading Privacy for the Greater Social Good: How Did America React During COVID-19?," Papers 2006.05859, arXiv.org.
    17. Missinne, Sarah & Colman, Elien & Bracke, Piet, 2013. "Spousal influence on mammography screening: A life course perspective," Social Science & Medicine, Elsevier, vol. 98(C), pages 63-70.
    18. Ester Faia & Andreas Fuster & Vincenzo Pezone & Basit Zafar, 2024. "Biases in Information Selection and Processing: Survey Evidence from the Pandemic," The Review of Economics and Statistics, MIT Press, vol. 106(3), pages 829-847, May.
    19. Mehmet Ronael & Tüzin Baycan, 2022. "Place-based factors affecting COVID-19 incidences in Turkey," Asia-Pacific Journal of Regional Science, Springer, vol. 6(3), pages 1053-1086, October.
    20. Lucia Freira & Marco Sartorio & Cynthia Boruchowicz & Florencia Lopez Boo & Joaquin Navajas, 2021. "The interplay between partisanship, forecasted COVID-19 deaths, and support for preventive policies," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-10, December.

    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:gam:jijerp:v:18:y:2020:i:1:p:180-:d:469853. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.