Citizen Behaviour During COVID-19: Determinants of Preventive and Maladaptive Responses in Kazakhstan

Abstract

Authors

DOI:

https://doi.org/10.31489/2026ec3/1290

Keywords:

COVID-19, Kazakhstan, maladaptive behaviour, preventive behaviour, attitude

Abstract

This study intends to understand the predictors of preventive and maladaptive practices during the COVID-19 pandemic. The association between risk perception, behaviour, knowledge, trusted sources of information, attitudes toward the COVID-19 pandemic, response initiative, and other variables from June to September 2020, and people’s behaviour to inform COVID-19 outbreak responses was assessed. Four samples, composed of about 1,000 respondents aged 18 years and above, were interviewed online or via telephone in four rounds every two weeks from June to September 2020. Descriptive and inferential analyses of the data were conducted using Stata 18. Multivariate regression analyses, including logistic and linear regression models, were used to identify predictors of preventive and maladaptive behaviours. The study findings revealed distinct factors associated with both preventive and maladaptive measures. These findings are significant as they provide a deeper understanding of the predictors of preventive and maladaptive practices. The existence of different predictors in favour of maladaptive behaviour calls for policy intervention to increase the uptake of preventive behaviour rather than maladaptive behaviour. Therefore, consideration of all people, regardless of their place of residence, level of education, and health status, is needed through increased exposure to the right information and undertaking measures that will increase trust in the disseminated information. Policy interventions should focus on increasing exposure to accurate information to encourage preventive behaviours.

Keywords: COVID-19, Kazakhstan, maladaptive behaviour, preventive behaviour, attitude.

 

References

References

Aidossov, N., Nazarbek, S., Pelizzo, R., Ntegwa, M. J., Yergaliyev, K. A., & Junusbekova, G. (2025). Trust, conspiracy theory, and COVID-19 vaccination intention in Kazakhstan. Cogent Social Sciences, 11(1), 2583405. https://doi.org/10.1080/23311886.2025.2583405

Ayouni, I., Maatoug, J., Dhouib, W., Zammit, N., Fredj, S. B., Ghammam, R., & Ghannem, H. (2021). Effective public health measures to mitigate the spread of COVID-19: A systematic review. BMC Public Health, 21(1), 1015. https://doi.org/10.1186/s12889-021-11111-1

Burger, R., Christian, C., English, R., Maughan-Brown, B., & Rossouw, L. (2022). Predictors of mask-wearing during the advent of the COVID-19 pandemic: Evidence from South Africa. Translational Behavioral Medicine, 12(1), ibab132. https://doi.org/10.1093/tbm/ibab132

Can, F., Ergül-Topçu, A., & Topçu, G. (2022). Health Beliefs in Association with Behaviors in Compliance with COVID-19 Public Health Guidelines: A Cross-sectional Study. Social Work in Public Health, 37(1), 14–27. https://doi.org/10.1080/19371918.2021.1965938

Downing, S. T., Mccarty, R. J., Guastello, A. D., Cooke, D. L., & Mcnamara, J. P. H. (2023). Assessing the predictors of adaptive and maladaptive Covid-19 preventive behaviours: An application of protection motivation theory. Psychology, Health & Medicine, 28(2), 460–474. https://doi.org/10.1080/13548506.2022.2093925

Hadizadeh -Talasaz, F., Mohammadzadeh, F., & Delshad Noghabi, A. (2022). Predictors of the Social Distancing Behaviors during COVID-19 Pandemic using Protection Motivation Theory in Iran: A cross sectional study. Journal of Preventive Medicine and Hygiene, E35 Pages. https://doi.org/10.15167/2421-4248/JPMH2022.63.1.2228

Kuandyk (Sabitova), A., Ortega, M.-A., Ntegwa, M. J., & Sarria-Santamera, A. (2024). Impact of the COVID-19 pandemic on access to and delivery of maternal and child healthcare services in low-and middle-income countries: A systematic review of the literature. Frontiers in Public Health, 12. https://doi.org/10.3389/fpubh.2024.1346268

Liu, Y., & Jiang, X. (2023). Application of protection motivation theory and cultural tightness-looseness for predicting individuals’ compliance with the government’s recommended preventive measures during regular prevention and control of the COVID-19 pandemic in China. Frontiers in Public Health, 11. https://doi.org/10.3389/fpubh.2023.1043247

Long, V. J. E., & Liu, J. C. J. (2021). Behavioural changes during the COVID-19 pandemic: Results of a nationwide survey in Singapore. Annals of the Academy of Medicine, Singapore, 50(3), 222–231. https://doi.org/10.47102/annals-acadmedsg.2020391

Muchangi, J. M., Mturi, J., Mukasa, H., Kithuki, K., Kosgei, S. J., Kanyangi, L. M., Moraro, R., & Nankanja, M. (2024). Enablers and barriers to vaccine uptake and handwashing practices to prevent and control COVID-19 in Kenya, Uganda, and Tanzania: A systematic review. Frontiers in Public Health, 12. https://doi.org/10.3389/fpubh.2024.1352787

Ntegwa, M. J., Mcharo, E. G., & Mlay, J. F. (2023). What Explains the Rural-Urban Inequalities in Maternal Health Services Utilization in Tanzania? A Fairlie Decomposition Analysis. Asian Journal of Social Health and Behavior, 6(2), 47. https://doi.org/10.4103/shb.shb_5_23

Panneer, S., Kantamaneni, K., Akkayasamy, V. S., Susairaj, A. X., Panda, P. K., Acharya, S. S., Rice, L., Liyanage, C., & Pushparaj, R. R. B. (2022). The Great Lockdown in the Wake of COVID-19 and Its Implications: Lessons for Low and Middle-Income Countries. International Journal of Environmental Research and Public Health, 19(1), 610. https://doi.org/10.3390/ijerph19010610

Pilch, I., Wardawy, P., & Probierz, E. (2021). The predictors of adaptive and maladaptive coping behavior during the COVID-19 pandemic: The Protection Motivation Theory and the Big Five personality traits. PLOS ONE, 16(10), e0258606. https://doi.org/10.1371/journal.pone.0258606

Rodríguez-Blázquez, C., Romay-Barja, M., Falcón, M., Ayala, A., & Forjaz, M. J. (2021). The COSMO-Spain Survey: Three First Rounds of the WHO Behavioral Insights Tool. Frontiers in Public Health, 9, 678926. https://doi.org/10.3389/fpubh.2021.678926

StataCorp. (2023). Stata Statistical Software (Version Release 18) [Computer software]. https://www.stata.com/support/faqs/resources/citing-software-documentation-faqs/

Vally, Z. (2020). Public perceptions, anxiety and the perceived efficacy of health-protective behaviours to mitigate the spread of the SARS-Cov-2/ COVID-19 pandemic. Public Health, 187, 67–73. https://doi.org/10.1016/j.puhe.2020.08.002

van der Pligt, J. (2006). Risk Perception and Self-Protective Behavior. European Psychologist, 1(1), 34–43. https://doi.org/10.1027/1016-9040.1.1.34

World Health Organization. (n.d.). WHO Coronavirus (COVID-19) Dashboard. Retrieved March 23, 2024, from https://data.who.int/dashboards/covid19/cases?m49=398&n=c

Wright, L., & Fancourt, D. (2021). Do predictors of adherence to pandemic guidelines change over time? A panel study of 22,000 UK adults during the COVID-19 pandemic. Preventive Medicine, 153, 106713. https://doi.org/10.1016/j.ypmed.2021.106713

Wright, L., Steptoe, A., & Fancourt, D. (2021). Predictors of self-reported adherence to COVID-19 guidelines. A longitudinal observational study of 51,600 UK adults. The Lancet Regional Health - Europe, 4, 100061. https://doi.org/10.1016/j.lanepe.2021.100061

Downloads

Published

2026-10-01

How to Cite

Aidossov, N., Nazarbek, S., Ntegwa, M. J., & Nabiyeva, D. (2026). Citizen Behaviour During COVID-19: Determinants of Preventive and Maladaptive Responses in Kazakhstan: Abstract. BUKETOV BUSINESS REVIEW, 12331(3), 18–30. https://doi.org/10.31489/2026ec3/1290

Issue

Section

Innovations in Management, Marketing, Finance, Accounting, Economics and Public Administration.