Top

Gepubliceerd in:

20-04-2021

Beyond political affiliation: an examination of the relationships between social factors and perceptions of and responses to COVID-19

Auteurs: Berkeley Franz, Lindsay Y. Dhanani

Gepubliceerd in: Journal of Behavioral Medicine | Uitgave 5/2021

Abstract

A significant challenge in the United States’ response to COVID-19 continues to be wide variation in the extent to which individuals believe the virus is a credible health threat and are willing to undertake measures to protect personal and public health. In this study, data were collected from a national sample of 1141 participants from the United States to examine how beliefs and behavioral responses to COVID-19 have been shaped by sociopolitical characteristics. The relationships between social predictors; perceived severity, knowledge, and fear of the virus; and health behaviors were tested using path analysis. Social characteristics significantly predicted perceived severity, knowledge, and fear, as well as health behaviors, even after controlling for an objective indicator of the risk of contracting the virus. Our findings suggest that perceptions and knowledge of the virus, especially believing that the virus poses a serious threat to one’s individual health, are important determinants of behavior, but also that perceptions and knowledge are strongly driven by social and cultural factors above and beyond political affiliation.

vorige artikel Profiles of partner health linked to a partner-focused intervention following patient initial implantable cardioverter defibrillator (ICD)

volgende artikel Forgoing antiretroviral therapy to evade stigma among people living with HIV, Cape Town, South Africa

Aiello, A. E., Coulborn, R. M., Perez, V., & Larson, E. L. (2008). Effect of hand hygiene on infectious disease risk in the community setting: A meta-analysis. American Journal of Public Health, 98, 1372–1381PubMedPubMedCentralCrossRef

Alsan, M., Stantcheva, S., Yang, D., & Cutler, D. (2020). Disparities in coronavirus 2019 reported incidence, knowledge, and behavior among US adults. JAMA Network Open, 3, e2012403PubMedPubMedCentralCrossRef

Anderson, J. A., & Bartkus, D. E. (1973). Choice of medical care: A Behavioral Model of Health and Illness Behavior. Journal of Health and Social Behavior, 14, 348–362PubMedCrossRef

Barrios, J. M., & Hochberg, Y. (2020). Risk Perception Through the Lens of Politics in the Time of the COVID-19 Pandemic. National Bureau of Economic Research.CrossRef

Baumgaertner, B., Carlisle, J. E., & Justwan, F. (2018). The influence of political ideology and trust on willingness to vaccinate. PLoS ONE, 13, 1–13CrossRef

Benjamins, M. R. (2006). Religious influences on trust in physicians and the health care system. International Journal of Psychiatry in Medicine, 36, 69–83PubMedCrossRef

Benjamins, M. R., Trinitapoli, J., & Ellison, C. G. (2006). Religious attendance, health maintenance beliefs, and mammography utilization: Findings from a nationwide survey of Presbyterian women. Journal for the Scientific Study of Religion, 45, 597–607CrossRef

Bish, A., Yardley, L., Nicoll, A., & Michie, S. (2011). Factors associated with uptake of vaccination against pandemic influenza: A systematic review. Vaccine, 29, 6472–6484PubMedCrossRef

Calvillo, D. P., Ross, B. J., Garcia, R. J. B., Smelter, T. J., & Rutchick, A. M. (2020). Political ideology predicts perceptions of the threat of COVID-19 (and susceptibility to fake news about it). Social Psychological and Personality Science, 11, 1119–1128CrossRef

Carpenter, C. J. (2010). A meta-analysis of the effectiveness of health belief model variables in predicting behavior. Health Communication, 25, 661–669PubMedCrossRef

Castro-Sánchez, E., Chang, P. W. S., Vila-Candel, R., Escobedo, A. A., & Holmes, A. H. (2016). Health literacy and infectious diseases: Why does it matter? International Journal of Infectious Diseases, 43, 103–110PubMedCrossRef

CDC. (2020a). Coronavirus: How to protect yourself & others. Retrieved June 25, 2020, https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html

CDC. (2020b). COVID-19 hospitalization and death by race/ethnicity. Retrieved October 13, 2020, https://www.cdc.gov/coronavirus/2019-ncov/covid-data/investigations-discovery/hospitalization-death-by-race-ethnicity.html

Centers for Disease Control. (2020). Social distancing, quarantine, and isolation. Coronavirus Disease 2019 (COVID-19). Retrieved May 26, 2020, https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/social-distancing.html

Champion, V., Skinner, C. S., & Menon, U. (2005). Development of a self-efficacy scale for mammography. Research in Nursing and Health, 28, 329–336PubMedCrossRef

Cheng, S. O. (2020). Xenophobia due to the coronavirus outbreak: A letter to the editor in response to ‘the socio-economic implications of the coronavirus pandemic (COVID-19)—A review.’ International Journal of Surgery, 79, 13–14PubMedCrossRef

Christopher, S., Watts, V., McCormick, A. K. H. G., & Young, S. (2008). Building and maintaining trust in a community-based participatory research partnership. American Journal of Public Health, 98, 1398–1406PubMedPubMedCentralCrossRef

Conrad, P., & Barker, K. K. (2010). The social construction of illness: Key insights and policy implications. Journal of Health and Social Behavior, 51, S67–S79PubMedCrossRef

de Bruin, W. B., & Bennett, D. (2020). Relationships between initial COVID-19 risk perceptions and protective health behaviors: A national survey. American Journal of Preventive Medicine, 59, 157–167CrossRef

Faust, J. S., & Del Rio, C. (2020). Assessment of deaths from COVID-19 and from seasonal influenza. JAMA Internal Medicine, 180, 1045–1046PubMedCrossRef

Gallup Historical Trends. (2020). Confidence in institutions. In depth: Topics A to Z. Retrieved December 14, 2020, https://news.gallup.com/poll/1597/confidence-institutions.aspx

Giuseppe, Di., Gabriella, R. A., Albano, L., Marinelli, P., & Angelillo, I. F. (2008). A survey of knowledge, attitudes and practices towards avian influenza in an adult population of Italy. BMC Infectious Diseases, 8, 36PubMedPubMedCentralCrossRef

Gollwitzer, A., Martel, C., Brady, W. J., Pärnamets, P., Freedman, I. G., Knowles, E. D., & Van Bavel, J. J. (2020). Partisan differences in physical distancing are linked to health outcomes during the COVID-19 Pandemic. Nature Human Behaviour, 4, 1186–1197PubMedCrossRef

Gondi, S., Beckman, A. L., Deveau, N., Raja, A. S., Ranney, M. L., Popkin, R., & He, S. (2020). Personal protective equipment needs in the USA during the COVID-19 pandemic. The Lancet, 395, e90-91CrossRef

Goodwin, R., Haque, S., Neto, F., & Myers, L. B. (2009). Initial psychological responses to influenza A, H1N1 (‘Swine Flu’). BMC Infectious Diseases, 9, 166PubMedPubMedCentralCrossRef

Grisales, C. (2020). Coronavirus debate to reopen: Congress faces A partisan divide. NPR. Retrieved June 25, 2020, https://www.npr.org/2020/05/15/852359651/debate-over-reopening-house-of-representatives-tests-a-partisan-flashpoint

Hamel, L., Audrey, K., Ashley, K., Lunna, L., Cailey, M., & Mollyann, B. (2020). KFF Health tracking poll – September 2020: Top issues in 2020 election. The role of misinformation, and views on a potential coronavirus vaccine | KFF. Kaiser Family Foundation. Retrieved December 14, 2020, https://www.kff.org/coronavirus-covid-19/report/kff-health-tracking-poll-september-2020/

Hayes, B., & Dowds, L. (2006). Social contact, cultural marginality or economic self-interest? Attitudes towards immigrants in Northern Ireland. Journal of Ethnic and Migration Studies, 32, 455–476CrossRef

Hetherington, M. J. (1998). The political relevance of political trust. American Political Science Review., 92, 791–808CrossRef

Hjerm, M. (2001). Education, xenophobia and nationalism: A comparative analysis. Journal of Ethnic and Migration Studies, 27, 37–60CrossRef

Hjerm, M. (2007). Do numbers really count? Group threat theory revisited. Journal of Ethnic and Migration Studies, 33, 1253–1275CrossRef

Hjerm, M. (2009). Anti-immigrant attitudes and cross-municipal variation in the proportion of immigrants. Acta Sociologica, 52, 47–62CrossRef

Hornsey, M. J., Finlayson, M., Chatwood, G., & Begeny, C. T. (2020). Donald trump and vaccination: The effect of political identity, conspiracist ideation and presidential tweets on vaccine hesitancy. Journal of Experimental Social Psychology, 88, 103947CrossRef

Janz, N. K., & Becker, M. H. (1984). The health belief model: A decade later. Health Education & Behavior, 11, 1–47

Johns Hopkins University. (2020). Johns Hopkins coronavirus resource center. Retrieved June 25, 2020, https://coronavirus.jhu.edu/

Johns Hopkins Coronavirus Resource Center. (2020). Mortality Analyses. Maps and Trends. Retrieved December 1, 2020, https://coronavirus.jhu.edu/data/mortality

Kucharski, A. J., Klepac, P., Conlan, A. J. K., Kissler, S. M., Tang, M. L., Fry, H., Gog, J. R., John Edmunds, W., Emery, J. C., Medley, G., Munday, J. D., Russell, T. W., Leclerc, Q. J., Diamond, C., Procter, S. R., Gimma, A., Sun, F. Y., Gibbs, H. P., Rosello, A., … Simons, D. (2020). Effectiveness of isolation, testing, contact tracing, and physical distancing on reducing transmission of SARS-CoV-2 in different settings: A mathematical modelling study. The Lancet Infectious Diseases, 20, 1151–1160PubMedPubMedCentralCrossRef

Langlie, J. K. (1977). Social networks, health beliefs, and preventive health behavior. Journal of Health and Social Behavior, 18, 244–260PubMedCrossRef

Lavrakas, P. J. (2008). Feeling thermometer. Encyclopedia of Survey Research Methods

Limaye, R. J., Sauer, M., Ali, J., Bernstein, J., Wahl, B., Barnhill, A., & Labrique, A. (2020). Building trust while influencing online COVID-19 content in the social media world. Lancet Digital Health, 2, e277–e278PubMedCrossRef

Mansfield, C. J., Mitchell, J., & King, D. E. (2002). The doctor as god’s mechanic? Beliefs in the Southeastern United States. Social Science and Medicine, 54, 399–409PubMedCrossRef

Maragakis, L. L. (2020). Coronavirus at a glance: infographic. Johns Hopkins Medicine. Retrieved June 25, 2020, https://www.hopkinsmedicine.org/health/conditions-and-diseases/coronavirus/coronavirus-facts-infographic

McCarthy, T. (2020). Disunited States of America: Responses to coronavirus shaped by hyper-partisan politics. The Guardian, May 29

Medina, J., & Gebeloff, R. (2020). What the Coronavirus Revealed About Life in Red versus Blue States. The New York Times, May 25

Miller, D. A., Smith, E. R., & Mackie, D. M. (2004). Effects of Intergroup contact and political predispositions on prejudice: Role of intergroup emotions. Group Processes & Intergroup Relations, 7, 221–237CrossRef

Milosh, M., Painter, M., Van Dijcke, D., & Wright, A. L. (2020). Unmasking partisanship: How polarization influences public responses to collective risk. 2020–102. Chicago, IL

Newell, S. A., Girgis, A., Sanson-Fisher, R. W., & Savolainen, N. J. (1999). The accuracy of self-reported health behaviors and risk factors relating to cancer and cardiovascular disease in the general population: A critical review. American Journal of Preventive Medicine, 17, 211–229PubMedCrossRef

Pew Research Center. (2014). Religion in America: U.S. religious data, demographics and statistics. Religious Landscape Study. Retrieved December 14, 2020, https://www.pewforum.org/religious-landscape-study/

Pew Research Center. (2020). Republicans, Democrats move even further apart in coronavirus concerns. Pew Research. Retrieved August 14, 2020, https://www.pewresearch.org/politics/2020/06/25/republicans-democrats-move-even-further-apart-in-coronavirus-concerns/

Porterfield, C. (2020). Two-Thirds of religious Americans believe coronavirus is a message from god. Forbes. Retrieved June 25, 2020, https://www.forbes.com/sites/carlieporterfield/2020/05/15/two-thirds-of-religious-americans-believe-coronavirus-is-a-message-from-god/#29ad3362a2ae

Pradhan, D., Biswasroy, P., Naik, P. K., Ghosh, G., & Rath, G. (2020). A review of current interventions for COVID-19 prevention. Archives of Medical Research, 51(5), 363–374PubMedPubMedCentralCrossRef

Rogers, R. W., & Prentice-Dunn, S. (1997). Protection Motivation Theory. Plenum.

Roozenbeek, J., Schneider, C. R., Dryhurst, S., Kerr, J., Freeman, A. L., Recchia, G., van der Bles, A. M., & van der Linden, S. (2020). Susceptibility to misinformation about COVID-19 around the world. Royal Society Open Science, 7, 201199PubMedPubMedCentralCrossRef

Rosenstock, I. M. (1974). The health belief model and preventive health behavior. Health Education and Behavior, 2, 354–386

Rubin, G. J., Amlôt, R., Page, L., & Wessely, S. (2009). Public perceptions, anxiety, and behaviour change in relation to the Swine Flu outbreak: Cross sectional telephone survey. BMJ (Online), 339, 156

Rubin, G. J., Potts, H. W. W., & Michie, S. (2010). The impact of communications about Swine Flu (Influenza A HINIv) on public responses to the outbreak: Results from 36 national telephone surveys in the UK. Health Technology Assessment, 14, 183–266PubMedCrossRef

Schoch-Spana, M. (2017). Partnering with communities to foster trust, save more lives, and prompt recovery in epidemics and disasters. Health Security, 15, 22–24PubMedPubMedCentralCrossRef

Supady, A., Randall Curtis, J., Abrams, D., Lorusso, R., Bein, T., Boldt, J., Brown, C. E., Duerschmied, D., Metaxa, V., & Brodie, D. (2021). Allocating scarce intensive care resources during the COVID-19 pandemic: Practical challenges to theoretical frameworks. The Lancet Respiratory Medicine, 9, 430–434PubMedPubMedCentralCrossRef

Taylor, D. B. (2020). For Black Men, Fear That Masks to Protect from Covid-19 Will Invite Racial Profiling. The New York Times. Retrieved August 13, 2020, https://www.nytimes.com/2020/04/14/us/coronavirus-masks-racism-african-americans.html

U.S. Census Bureau. (2019a). QuickFacts: United States. Retrieved December 14, 2020, https://www.census.gov/quickfacts/fact/table/us/pst045219

U.S. Census Bureau. (2019b). QuickFacts: United States.

USA Facts. n.d. Coronavirus Outbreak Stats & Data. Retrieved June 25, 2020. https://usafacts.org/issues/coronavirus/

Velan, B., Kaplan, G., Ziv, A., Boyko, V., & Lerner-Geva, L. (2011). Major motives in non-acceptance of A/H1N1 Flu vaccination: The weight of rational assessment. Vaccine, 29, 1173–1179PubMedCrossRef

White, A. I. R. (2020). Historical linkages: Epidemic threat, economic risk, and xenophobia. The Lancet, 395, 1250–1251CrossRef

WHO. (2020). Coronavirus disease: Advice for public. Retrieved June 25, 2020, https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public

World Health Organization. (2020). Estimating Mortality from COVID-19. Retrieved March 18, 2021, https://www.who.int/news-room/commentaries/detail/estimating-mortality-from-covid-19

Zhang, L., Tao, Y., Shen, M., Fairley, C. K., & Guo, Y. (2020). Can Self-imposed prevention measures mitigate the COVID-19 epidemic? PLOS Medicine, 17, e1003240PubMedPubMedCentralCrossRef

Titel: Beyond political affiliation: an examination of the relationships between social factors and perceptions of and responses to COVID-19
Auteurs: Berkeley Franz
Lindsay Y. Dhanani
Publicatiedatum: 20-04-2021
Uitgeverij: Springer US
Gepubliceerd in: Journal of Behavioral Medicine / Uitgave 5/2021
Print ISSN: 0160-7715
Elektronisch ISSN: 1573-3521
DOI: https://doi.org/10.1007/s10865-021-00226-w

Bohn Stafleu van Loghum

Deel dit onderdeel of sectie (kopieer de link)

Abstract

Log in om toegang te krijgen

Andere artikelen Uitgave 5/2021

The role of mindfulness in associations among depression symptoms, sleep duration, and insulin resistance in adolescents

Web-based cognitive behavior therapy for chronic pain patients with aberrant drug-related behavior: How did it work and for whom?

Adaptive, behavioral intervention impact on weight gain, physical activity, energy intake, and motivational determinants: results of a feasibility trial in pregnant women with overweight/obesity

Profiles of partner health linked to a partner-focused intervention following patient initial implantable cardioverter defibrillator (ICD)

Past-year discrimination and cigarette smoking among sexual minority women: investigating racial/ethnic and sexual identity differences

Latent class growth modelling for the evaluation of intervention outcomes: example from a physical activity intervention