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Erschienen in: Journal of Prevention 1/2023

20.12.2022 | COVID-19 | Original Research

Factors Influencing COVID-19 Prevention Behaviors

verfasst von: Elizabeth Wachira, Kujang Laki, Bhakti Chavan, Gloria Aidoo-Frimpong, Caroline Kingori

Erschienen in: Journal of Prevention | Ausgabe 1/2023

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Abstract

COVID-19 remains a public health emergency with prevention guidelines and mitigation strategies being constantly updated to curb the rapid spread of the disease. Despite proven successes of recommended preventive behaviors, there is low uptake of wearing a mask, washing of hands, and social distancing in the United States (US). The purpose of this study was to examine factors that influence COVID-19 preventive behaviors. We used data from the nationally representative COVID-19 Household Impact Survey (n = 19,815) conducted in the US from April to June 2020. Chi-square (χ2) test and bivariate analyses were performed to compare study participants who used all COVID-19 related preventive behaviors and those who did not, and multivariate logistic regressions to determine associations across demographic and social characteristics. Of the 19,815 participants, 79.2% of participants reported practicing the aforementioned COVID-19 preventive behaviors. Further, non-Hispanic white, Spanish speaking, living in urban areas, of older age (60+), being female, having an education above an undergraduate, those with income levels $100K or more, living in the urban northeast region that trust and communicate frequently with family and neighbors were more likely to use all three preventive behaviors. Findings suggest a need for continued provision of information on prevention and vaccination importance, but expand efforts to target adopters of these behaviors and encourage them to share their uptake and adherence efforts. This type of horizontal communication where information is shared within trusted social networks can shape social norms that influence the uptake of COVID-19 preventive behaviors and slowly curb communal spread.
Literatur
Zurück zum Zitat Abdallah, D. A., & Lee, C. M. (2021). Social norms and vaccine uptake: College students’ COVID vaccination intentions, attitudes, and estimated peer norms and comparisons with influenza vaccine. Vaccine, 39(15), 2060–2067.CrossRef Abdallah, D. A., & Lee, C. M. (2021). Social norms and vaccine uptake: College students’ COVID vaccination intentions, attitudes, and estimated peer norms and comparisons with influenza vaccine. Vaccine, 39(15), 2060–2067.CrossRef
Zurück zum Zitat Bavel, J. J. V., Baicker, K., Boggio, P. S., Capraro, V., Cichocka, A., Cikara, M., & Willer, R. (2020). Using social and behavioural science to support COVID-19 pandemic response. Nature human behaviour, 4(5), 460–471.CrossRef Bavel, J. J. V., Baicker, K., Boggio, P. S., Capraro, V., Cichocka, A., Cikara, M., & Willer, R. (2020). Using social and behavioural science to support COVID-19 pandemic response. Nature human behaviour, 4(5), 460–471.CrossRef
Zurück zum Zitat Boehmer, T. K., DeVies, J., Caruso, E., van Santen, K. L., Tang, S., Black, C. L., Hartnett, K. P., Kite-Powell, A., Dietz, S., Lozier, M., & Gundlapalli, A. V. (2020). Changing age distribution of the COVID-19 pandemic—United States, May–August 2020. Morbidity and Mortality Weekly Report, 69(39), 1404.CrossRef Boehmer, T. K., DeVies, J., Caruso, E., van Santen, K. L., Tang, S., Black, C. L., Hartnett, K. P., Kite-Powell, A., Dietz, S., Lozier, M., & Gundlapalli, A. V. (2020). Changing age distribution of the COVID-19 pandemic—United States, May–August 2020. Morbidity and Mortality Weekly Report, 69(39), 1404.CrossRef
Zurück zum Zitat Bormet, M., Kishoyian, J., Siame, Y., Ngalande, N., Erb, K., Parker, K., & Hardee, K. (2021). Faith-based advocacy for Family Planning Works: evidence from Kenya and Zambia. Global Health: Science and Practice, 9(2), 254–263. Bormet, M., Kishoyian, J., Siame, Y., Ngalande, N., Erb, K., Parker, K., & Hardee, K. (2021). Faith-based advocacy for Family Planning Works: evidence from Kenya and Zambia. Global Health: Science and Practice, 9(2), 254–263.
Zurück zum Zitat Bronfman, N., Repetto, P., Cordón, P., Castañeda, J., & Cisternas, P. (2021). Gender differences on psychosocial factors affecting COVID-19 preventive behaviors. Sustainability, 13(11), 6148.CrossRef Bronfman, N., Repetto, P., Cordón, P., Castañeda, J., & Cisternas, P. (2021). Gender differences on psychosocial factors affecting COVID-19 preventive behaviors. Sustainability, 13(11), 6148.CrossRef
Zurück zum Zitat Caetano, S. C., Silva, C. M., & Vettore, M. V. (2013). Gender differences in the association of perceived social support and social network with self-rated health status among older adults: a population-based study in Brazil. BMC geriatrics, 13(1), 1–14.CrossRef Caetano, S. C., Silva, C. M., & Vettore, M. V. (2013). Gender differences in the association of perceived social support and social network with self-rated health status among older adults: a population-based study in Brazil. BMC geriatrics, 13(1), 1–14.CrossRef
Zurück zum Zitat Camacho-Rivera, M., Islam, J. Y., Rivera, A., & Vidot, D. C. (2020). Attitudes toward using COVID-19 mHealth tools among adults with chronic health conditions: secondary data analysis of the COVID-19 impact survey. JMIR mHealth and uHealth, 8(12), e24693. https://doi.org/10.2196/24693.CrossRef Camacho-Rivera, M., Islam, J. Y., Rivera, A., & Vidot, D. C. (2020). Attitudes toward using COVID-19 mHealth tools among adults with chronic health conditions: secondary data analysis of the COVID-19 impact survey. JMIR mHealth and uHealth, 8(12), e24693. https://​doi.​org/​10.​2196/​24693.CrossRef
Zurück zum Zitat Camacho-Rivera, M., Islam, J. Y., & Vidot, D. C. (2020). Associations between chronic health conditions and COVID-19 preventive behaviors among a nationally representative sample of US adults: an analysis of the COVID impact survey. Health Equity, 4(1), 336–344. https://doi.org/10.1089/heq.2020.0031.CrossRef Camacho-Rivera, M., Islam, J. Y., & Vidot, D. C. (2020). Associations between chronic health conditions and COVID-19 preventive behaviors among a nationally representative sample of US adults: an analysis of the COVID impact survey. Health Equity, 4(1), 336–344. https://​doi.​org/​10.​1089/​heq.​2020.​0031.CrossRef
Zurück zum Zitat Charoenwong, B., Kwan, A., & Pursiainen, V. (2020). Social connections with COVID-19–affected areas increase compliance with mobility restrictions. Science advances, 6(47), eabc3054.CrossRef Charoenwong, B., Kwan, A., & Pursiainen, V. (2020). Social connections with COVID-19–affected areas increase compliance with mobility restrictions. Science advances, 6(47), eabc3054.CrossRef
Zurück zum Zitat Gerber, M. M., Cuadrado, C., Figueiredo, A., Crispi, F., Jiménez-Moya, G., & Andrade, V. (2021). Taking care of each other: how can we increase compliance with personal protective measures during the COVID‐19 pandemic in Chile? Political Psychology, 42(5), 863–880. https://doi.org/10.1111/pops.12770.CrossRef Gerber, M. M., Cuadrado, C., Figueiredo, A., Crispi, F., Jiménez-Moya, G., & Andrade, V. (2021). Taking care of each other: how can we increase compliance with personal protective measures during the COVID‐19 pandemic in Chile? Political Psychology, 42(5), 863–880. https://​doi.​org/​10.​1111/​pops.​12770.CrossRef
Zurück zum Zitat Goldberg, M., Gustafson, A., Maibach, E., van der Linden, S., Ballew, M. T., Bergquist, P., Kotcher, J. E., Marlon, J. R., & Leiserowitz, A. (2020). Social norms motivate COVID-19 preventive behaviors. Goldberg, M., Gustafson, A., Maibach, E., van der Linden, S., Ballew, M. T., Bergquist, P., Kotcher, J. E., Marlon, J. R., & Leiserowitz, A. (2020). Social norms motivate COVID-19 preventive behaviors.
Zurück zum Zitat Hearne, B. N., & Niño, M. D. (2021). Understanding how race, ethnicity, and gender shape mask-wearing adherence during the COVID-19 pandemic: evidence from the COVID impact survey. Journal of Racial and Ethnic Health Disparities, 1–8. https://doi.org/10.1007/s40615-020-00941-1. Hearne, B. N., & Niño, M. D. (2021). Understanding how race, ethnicity, and gender shape mask-wearing adherence during the COVID-19 pandemic: evidence from the COVID impact survey. Journal of Racial and Ethnic Health Disparities, 1–8. https://​doi.​org/​10.​1007/​s40615-020-00941-1.
Zurück zum Zitat Hutchins, H. J., Wolff, B., Leeb, R., Ko, J. Y., Odom, E., Willey, J., Friedman, A., & Bitsko, R. H. (2020). COVID-19 mitigation behaviors by age group—United States, April–June 2020. Morbidity and Mortality Weekly Report, 69(43), 1584.CrossRef Hutchins, H. J., Wolff, B., Leeb, R., Ko, J. Y., Odom, E., Willey, J., Friedman, A., & Bitsko, R. H. (2020). COVID-19 mitigation behaviors by age group—United States, April–June 2020. Morbidity and Mortality Weekly Report, 69(43), 1584.CrossRef
Zurück zum Zitat Islam, J. Y., Vidot, D. C., & Camacho-Rivera, M. (2021). Evaluating Mental Health–Related Symptoms Among Cancer Survivors During the COVID-19 Pandemic: An Analysis of the COVID Impact Survey. JCO Oncology Practice, OP-20. https://doi.org/10.1200/OP.20.00752 Islam, J. Y., Vidot, D. C., & Camacho-Rivera, M. (2021). Evaluating Mental Health–Related Symptoms Among Cancer Survivors During the COVID-19 Pandemic: An Analysis of the COVID Impact Survey. JCO Oncology Practice, OP-20. https://​doi.​org/​10.​1200/​OP.​20.​00752
Zurück zum Zitat Kincaid, D. L. (2000). Social networks, ideation, and contraceptive behavior in Bangladesh: a longitudinal analysis. Social science & medicine, 50(2), 215–231.CrossRef Kincaid, D. L. (2000). Social networks, ideation, and contraceptive behavior in Bangladesh: a longitudinal analysis. Social science & medicine, 50(2), 215–231.CrossRef
Zurück zum Zitat Kim, J. K., & Crimmins, E. M. (2020). Age differences in the relationship between threatening and coping mechanisms and preventive behaviors in the time of COVID-19 in the United States: Protection Motivation Theory. Research in Psychotherapy: Psychopathology Process and Outcome, 23(3), https://doi.org/10.4081/ripppo.2020.485. Kim, J. K., & Crimmins, E. M. (2020). Age differences in the relationship between threatening and coping mechanisms and preventive behaviors in the time of COVID-19 in the United States: Protection Motivation Theory. Research in Psychotherapy: Psychopathology Process and Outcome, 23(3), https://​doi.​org/​10.​4081/​ripppo.​2020.​485.
Zurück zum Zitat Li, S., Feng, B., Liao, W., & Pan, W. (2020). Internet use, risk awareness, and demographic characteristics associated with engagement in preventive behaviors and testing: cross-sectional survey on COVID-19 in the United States. Journal of Medical Internet research, 22(6), e19782. https://doi.org/10.2196/19782.CrossRef Li, S., Feng, B., Liao, W., & Pan, W. (2020). Internet use, risk awareness, and demographic characteristics associated with engagement in preventive behaviors and testing: cross-sectional survey on COVID-19 in the United States. Journal of Medical Internet research, 22(6), e19782. https://​doi.​org/​10.​2196/​19782.CrossRef
Zurück zum Zitat Nitschke, J. P., Forbes, P. A., Ali, N., Cutler, J., Apps, M. A., Lockwood, P. L., & Lamm, C. (2020). Resilience during uncertainty? Greater social connectedness during COVID-19 lockdown is associated with reduced distress and fatigue. British Journal of Health Psychology, 26(2), 553–569.CrossRef Nitschke, J. P., Forbes, P. A., Ali, N., Cutler, J., Apps, M. A., Lockwood, P. L., & Lamm, C. (2020). Resilience during uncertainty? Greater social connectedness during COVID-19 lockdown is associated with reduced distress and fatigue. British Journal of Health Psychology, 26(2), 553–569.CrossRef
Zurück zum Zitat Nguyen, N. P. T., Hoang, T. D., Tran, V. T., Vu, C. T., Fodjo, S., Colebunders, J. N., & Vo, R., T. V (2020). Preventive behavior of vietnamese people in response to the COVID-19 pandemic.PloS one, 15(9), e0238830. Nguyen, N. P. T., Hoang, T. D., Tran, V. T., Vu, C. T., Fodjo, S., Colebunders, J. N., & Vo, R., T. V (2020). Preventive behavior of vietnamese people in response to the COVID-19 pandemic.PloS one, 15(9), e0238830.
Zurück zum Zitat Nitschke, J. P., Forbes, P. A., Ali, N., Cutler, J., Apps, M. A., Lockwood, P. L., & Lamm, C. (2021). Resilience during uncertainty? Greater social connectedness during COVID-19 lockdown is associated with reduced distress and fatigue. British Journal of Health Psychology, 26(2), 553–569. https://doi.org/10.1111/bjhp.12485.CrossRef Nitschke, J. P., Forbes, P. A., Ali, N., Cutler, J., Apps, M. A., Lockwood, P. L., & Lamm, C. (2021). Resilience during uncertainty? Greater social connectedness during COVID-19 lockdown is associated with reduced distress and fatigue. British Journal of Health Psychology, 26(2), 553–569. https://​doi.​org/​10.​1111/​bjhp.​12485.CrossRef
Zurück zum Zitat Sinclair, S., & Agerström, J. (2021). Do social norms influence young people’s willingness to take the COVID-19 vaccine? Health Communication, 1–8. Sinclair, S., & Agerström, J. (2021). Do social norms influence young people’s willingness to take the COVID-19 vaccine? Health Communication, 1–8.
Zurück zum Zitat Singh, G. K., Lee, H., & Azuine, R. E. (2021). Marked inequalities in COVID-19 vaccination by Racial/Ethnic, socioeconomic, Geographic, and Health characteristics, United States, January 6–February 15, 2021. International Journal of Translational Medical Research and Public Health, 5(2), 103–112.CrossRef Singh, G. K., Lee, H., & Azuine, R. E. (2021). Marked inequalities in COVID-19 vaccination by Racial/Ethnic, socioeconomic, Geographic, and Health characteristics, United States, January 6–February 15, 2021. International Journal of Translational Medical Research and Public Health, 5(2), 103–112.CrossRef
Zurück zum Zitat Smith, K. P., & Christakis, N. A. (2008). Social networks and health. Annual Review Sociology, 34, 405–429.CrossRef Smith, K. P., & Christakis, N. A. (2008). Social networks and health. Annual Review Sociology, 34, 405–429.CrossRef
Zurück zum Zitat Wozniak, A., Willey, J., Benz, J., & Hart, N. (2020). COVID Impact Survey: Version 1–3 [dataset]. Chicago, IL: National Opinion Research Center. Wozniak, A., Willey, J., Benz, J., & Hart, N. (2020). COVID Impact Survey: Version 1–3 [dataset]. Chicago, IL: National Opinion Research Center.
Metadaten
Titel
Factors Influencing COVID-19 Prevention Behaviors
verfasst von
Elizabeth Wachira
Kujang Laki
Bhakti Chavan
Gloria Aidoo-Frimpong
Caroline Kingori
Publikationsdatum
20.12.2022
Verlag
Springer US
Schlagwort
COVID-19
Erschienen in
Journal of Prevention / Ausgabe 1/2023
Print ISSN: 2731-5533
Elektronische ISSN: 2731-5541
DOI
https://doi.org/10.1007/s10935-022-00719-7

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