COVID-19 preventive behaviours among population 50+ in Poland
Article Sidebar
Published:
Dec 30, 2021
Keywords:
COVID-19, preventive behaviours, SHARE, population 50 , logistic regression
Main Article Content
Abstract
In order to reduce the spread of the SARS-COVID pandemic a set of measures was recommended to reduce the spread of disease and protect individual health. In this article we analyse what factors are associated with utilisation of preventive measures: washing hands, using disinfectant and covering cough among the population of men and women aged 50+. Using Survey of Health, Ageing and Retirement data we estimate logistic regression models for the increased utilisation of each of the preventive behaviours on demographic, socio-economic and psychological characteristics. The results indicate that the likelihood of taking health precautions depends on age, education, level of conscientiousness, and staying isolated. For men it also matters whether they live with a partner. We discuss what the findings mean for managing preventive behaviours.
Article Details
How to Cite
Styrc, M. (2021). COVID-19 preventive behaviours among population 50+ in Poland. Studia Demograficzne, 180(2). https://doi.org/10.33119/SD.2021.2.4
Section
Original research papers & review papers
References
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Schone, B. S., & Weinick, R. M. (1998). Health-Related Behaviors and the Benefits of Marriage for Elderly Persons. The Gerontologist, 38(5), 618-627. doi:10.1093/geront/38.5.618
Uddin, S., Imam, T., Khushi, M., Khan, A., & Moni, M. A. (2021). How did socio-demographic status and personal attributes influence compliance to COVID-19 preventive behaviours during the early outbreak in Japan? Lessons for pandemic management. Personality and Individual Differences, 175, 110692. doi:https://doi.org/10.1016/j.paid.2021.110692
Watson, D., & Hubbard, B. (1996). Adaptational style and dispositional structure: Coping in the context of the five-factor model. Journal of Personality, 64(4), 737-774. doi:https://doi.org/10.1111/j.1467-6494.1996.tb00943.x
West, R., Michie, S., Rubin, G. J., & Amlôt, R. (2020). Applying principles of behaviour change to reduce SARS-CoV-2 transmission. Nature Human Behaviour, 4(5), 451-459. doi:10.1038/s41562-020-0887-9
Anderson, R. M., Heesterbeek, H., Klinkenberg, D., & Hollingsworth, T. D. (2020). How will country-based mitigation measures influence the course of the COVID-19 epidemic? The Lancet, 395(10228), 931-934. doi:10.1016/S0140-6736(20)30567-5
Ayalon, L. (2021). Trust and Compliance with COVID-19 Preventive Behaviors during the Pandemic. International journal of environmental research and public health, 18(5), 2643.
Bargain, O., & Aminjonov, U. (2020). Trust and compliance to public health policies in times of COVID-19. Journal of Public Economics, 192, 104316. doi:https://doi.org/10.1016/j.jpubeco.2020.104316
Bellato, A. (2020). Psychological factors underlying adherence to COVID-19 regulations: A commentary on how to promote compliance through mass media and limit the risk of a second wave. Social Sciences & Humanities Open, 2(1), 100062. doi:https://doi.org/10.1016/j.ssaho.2020.100062
Börsch-Supan, A. (2020). Survey of Health, Ageing and Retirement in Europe (SHARE) Wave 8. COVID-19 Survey 1. Release version: 0.0.1. beta. .
Börsch-Supan, A., Brandt, M., Hunkler, C., Kneip, T., Korbmacher, J., Malter, F., . . . Team, o. b. o. t. S. C. C. (2013). Data Resource Profile: The Survey of Health, Ageing and Retirement in Europe (SHARE). International Journal of Epidemiology, 42(4), 992-1001. doi:10.1093/ije/dyt088
Breakwell, G. M., Fino, E., & Jaspal, R. (2021). The COVID-19 Preventive Behaviors Index: Development and Validation in Two Samples From the United Kingdom. Evaluation & the Health Professions, 44(1), 77-86. doi:10.1177/0163278720983416
Campos-Mercade, P., Meier, A. N., Schneider, F. H., & Wengström, E. (2021). Prosociality predicts health behaviors during the COVID-19 pandemic. Journal of Public Economics, 195, 104367. doi:https://doi.org/10.1016/j.jpubeco.2021.104367
Cesare, N., Lee, H., McCormick, T., Spiro, E., & Zagheni, E. (2018). Promises and Pitfalls of Using Digital Traces for Demographic Research. Demography, 55(5), 1979-1999. doi:10.1007/s13524-018-0715-2
Clark, C., Davila, A., Regis, M., & Kraus, S. (2020). Predictors of COVID-19 voluntary compliance behaviors: An international investigation. Global Transitions, 2, 76-82. doi:https://doi.org/10.1016/j.glt.2020.06.003
Gibson Miller, J., Hartman, T. K., Levita, L., Martinez, A. P., Mason, L., McBride, O., . . . Bentall, R. P. (2020). Capability, opportunity, and motivation to enact hygienic practices in the early stages of the COVID-19 outbreak in the United Kingdom. British journal of health psychology, 25(4), 856-864. doi:10.1111/bjhp.12426
Haliwa, I., Lee, J., Wilson, J., & Shook, N. J. (2020). Mindfulness and engagement in COVID-19 preventive behavior. Preventive Medicine Reports, 20, 101246. doi:https://doi.org/10.1016/j.pmedr.2020.101246
Kim, S., & Kim, S. (2020). Analysis of the Impact of Health Beliefs and Resource Factors on Preventive Behaviors against the COVID-19 Pandemic. International journal of environmental research and public health, 17(22), 8666.
Lüdecke, D., & von dem Knesebeck, O. (2020). Protective Behavior in Course of the COVID-19 Outbreak—Survey Results From Germany. Frontiers in Public Health, 8(567). doi:10.3389/fpubh.2020.572561
Monin, J. K., & Clark, M. S. (2011). Why do men benefit more from marriage than do women? Thinking more broadly about interpersonal processes that occur within and outside of marriage. Sex Roles: A Journal of Research, 65(5-6), 320-326. doi:10.1007/s11199-011-0008-3
Moussaoui, L. S., Ofosu, N. D., & Desrichard, O. (2020). Social Psychological Correlates of Protective Behaviours in the COVID-19 Outbreak: Evidence and Recommendations from a Nationally Representative Sample. Applied psychology. Health and well-being, 12(4), 1183-1204. doi:10.1111/aphw.12235
Raude, J., Lecrique, J. M., Lasbeur, L., Leon, C., Guignard, R., du Roscoät, E., & Arwidson, P. (2020). Determinants of Preventive Behaviors in Response to the COVID-19 Pandemic in France: Comparing the Sociocultural, Psychosocial, and Social Cognitive Explanations. Front Psychol, 11, 584500. doi:10.3389/fpsyg.2020.584500
Sances, M. W. (2019). Missing the Target? Using Surveys to Validate Social Media Ad Targeting. Political Science Research and Methods, 9(1), 215-222. doi:10.1017/psrm.2018.68
Scherpenzeel, A., Axt, K., Bergmann, M., Douhou, S., Oepen, A., Sand, G., . . . Börsch-Supan, A. (2020). Collecting survey data among the 50+ population during the COVID-19 outbreak: The Survey of Health, Ageing and Retirement in Europe (SHARE). Survey Research Methods, 14(2), 217-221. doi:10.18148/srm/2020.v14i2.7738
Schone, B. S., & Weinick, R. M. (1998). Health-Related Behaviors and the Benefits of Marriage for Elderly Persons. The Gerontologist, 38(5), 618-627. doi:10.1093/geront/38.5.618
Uddin, S., Imam, T., Khushi, M., Khan, A., & Moni, M. A. (2021). How did socio-demographic status and personal attributes influence compliance to COVID-19 preventive behaviours during the early outbreak in Japan? Lessons for pandemic management. Personality and Individual Differences, 175, 110692. doi:https://doi.org/10.1016/j.paid.2021.110692
Watson, D., & Hubbard, B. (1996). Adaptational style and dispositional structure: Coping in the context of the five-factor model. Journal of Personality, 64(4), 737-774. doi:https://doi.org/10.1111/j.1467-6494.1996.tb00943.x
West, R., Michie, S., Rubin, G. J., & Amlôt, R. (2020). Applying principles of behaviour change to reduce SARS-CoV-2 transmission. Nature Human Behaviour, 4(5), 451-459. doi:10.1038/s41562-020-0887-9