Adherence to COVID-19 Preventive Behaviours: the Implication of Life Orientation and Sociodemographic Factors among Residents in Nigeria — Oak Academic Publishing
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Adherence to COVID-19 Preventive Behaviours: the Implication of Life Orientation and Sociodemographic Factors among Residents in Nigeria
Department of Pure and Applied Psychology, Adekunle Ajasin University, Akungba Akoko, Nigeria
,
Department of Behavioural Studies, Redeemer’s University, Ede, Nigeria
,
Department of Psychology, Faculty of Social Sciences, University of Ilorin, Ilorin, Nigeria
1 Department of Pure and Applied Psychology, Adekunle Ajasin University, Akungba Akoko, Nigeria
2 Department of Behavioural Studies, Redeemer’s University, Ede, Nigeria
3 Department of Psychology, Faculty of Social Sciences, University of Ilorin, Ilorin, Nigeria
There is a sporadic increase in the number of newly infected cases of COVID-19 in Nigeria and this conveys clearly, poor adherence to the preventive guidelines by WHO and NCDC. This study examined the roles of life orientation and socio-demographic factors on adherence to COVID-19 preventive behaviours among residents in Nigeria. Using an ex post facto design, 798 residents in Nigeria (M = 303, F = 485) responded to an online survey measuring the socio-demographics, Life Orientation Test-Revised (LOT-R) and validated adherence to COVID-19 preventive behaviours. Two research hypotheses were formulated and tested using t-test of independent samples and ANCOVA. Results revealed that life orientation had a significant influence on adherence to preventive behaviour during the COVID-19 outbreak, [t (796) = 14.72; p < .001], such that respondents with optimistic life orientation adhered more significantly ( = 14.25, SD = 1.71) than respondents with pessimistic life orientation ( = 10.28, SD = 3.20). Furthermore, respondents’ age [F (1, 753) = 04.69, p < .05; = .01]; sex, F (1, 753) = 06.07, p < .05; = .01]; education, [F (5, 753) = 11.70, p < .01; = .072) and marital status, [F (3, 753) = 3.84, p < .01; = .015] independently influenced adherence to COVID-19 preventive behaviours. The study concluded that life orientation and socio-demographic factors have serious implications for research efforts and policymaking in ensuring that people adhere to COVID-19 preventive behaviours in Nigeria.
KeywordsAdherence to COVID-19 Preventive-BehavioursLife OrientationPessimismOptimismSociodemographic FactorsNigeria
Abraham, C., & Sheeran, P. (2015). The Health Belief Model. In M. Conner, & P. Norman (Eds.), Predicting and Changing Health Behavior: Research and Practice with Social Cognition Models (3rd ed., pp. 30-69). McGraw Hill.
Achat, H., Close, G., & Taylor R. (2005). Who Has Regular Mammograms? Effects of Knowledge, Beliefs, Socioeconomic Status, and Health Related Factors. Preventive Medicine, 41, 312-320. https://doi.org/10.1016/j.ypmed.2004.11.016
Adhikari, S. P., Meng, S., Wu, Y., Mao, Y., Ye, R. X., Wang, Q. et al. (2020). Epidemiology, Causes, Clinical Manifestation and Diagnosis, Prevention and Control of Coronavirus Disease (COVID-19) during the Early Outbreak Period: A Scoping Review. Infectious Diseases of Poverty, 9, Article No. 29. https://doi.org/10.1186/s40249-020-00646-x
Boehm, J. K., Peterson, C., Kivimaki, M., & Kubzansky, L. (2011). A Prospective Study of Positive Psychological Well-Being and Coronary Heart Disease. Health Psychology, 30, 259-267. https://doi.org/10.1037/a0023124
Carver, C. S., & Scheier, M. F. (2014). Dispositional Optimism. Trends in Cognitive Science, 18, 293-299. https://doi.org/10.1016/j.tics.2014.02.003
Davidson, K. W., Mostofsky, E., & Whang W. (2010). Don’t Worry, Be Happy: Positive Affect and Reduced 10-Year Incident Coronary Heart Disease: The Canadian Nova Scotia Health Survey. European Heart Journal, 31, 1065-1070. https://doi.org/10.1093/eurheartj/ehp603
Deeks, A., Lombard, C., Michelmore, J., & Teede, H. (2009). The Effects of Gender and Age on Health Related Behaviours. BMC Public Health, 9, Article No. 213. https://doi.org/10.1186/1471-2458-9-213
Feinstein, L., Sabates, R., Anderson, T. M., Sorhaindo, A., & Hammond, C. (2006). What Are the Effects of Education on Health? In R. Desjardins, & T. Schuller (Eds.), Measuring the Effects of Education on Health and Civic Engagement: Proceedings of the Copenhagen Symposium (pp. 171-255). OECD.
Gamma, A. E., Slekeine, J., & Mosler, H. (2019). The Impact of Various Promotional Activities on Ebola Prevention Behaviours and Psychosocial Factors Predicting Ebola Prevention Behaviours in the Gambia Evaluation of Ebola Prevention Promotions. International Journal of Environmental Research and Public Health, 16, Article No. 2020. https://doi.org/10.3390/ijerph16112020
Gilbert, M., Pullano, G., Pinotti, F., Valdano, E., Poletto, C, Boelle, P. Y. et al. (2020). Preparedness and Vulnerability of African Countries against Importations of COVID-19: A Modelling Study. The Lancet, 395, 871-877. https://doi.org/10.1016/S0140-6736(20)30411-6
Guo, Y. R., Cao, Q. D., Hong, Z. S., Tan, Y. Y., Chen, S. D., Jin, H. J., Tan, K. S., Wang, D. Y., & Yan, Y. (2020). The Origin, Transmission and Clinical Therapies on Coronavirus Disease 2019 (COVID-19) Outbreak—An Update on the Status. Military Medical Research, 7, Article No. 11. https://doi.org/10.1186/s40779-020-00240-0
Gustems-Carnicer, J., Calderón, C., & Santacana, M. F. (2017). Psychometric Properties of the Life Orientation Test (LOT-R) and Its Relationship with Psychological Well-Being and Academic Progress in College Students. Revista Latinoamericana de Psicología, 49, 19-27. https://doi.org/10.1016/j.rlp.2016.05.001
Harapan, H., Itoh, N., Yufika, A., Winardi, W., Keam, S., Te, H., Megawati, D., Hayati, Z., Wagner, A. L., & Mudatsir, M. (2020). Coronavirus Disease 2019 (COVID-19): A Literature Review. Journal of Infection and Public Health, 13, 667-673. https://doi.org/10.1016/j.jiph.2020.03.019
Henao-Restrepo, A. M., Longini, I. M., Egger, M. et al. (2015). Efficacy and Effectiveness of an rVSV-Vectored Vaccine Expressing Ebola Surface Glycoprotein: Interim Results from the Guinea Ring Vaccination Cluster-Randomised Trial. The Lancet, 386, 857-866. https://doi.org/10.1016/S0140-6736(15)61117-5
Jayanti, R. K., & Burns, A. C. (1998). The Antecedents of Preventive Health Care Behaviour: An Empirical Study. Journal of the Academy of Marketing Science, 26, Article No. 6. https://doi.org/10.1177/0092070398261002
Kim, A., Lee, P., & Park, H. S. (2017). Health Behaviours and Illness According to Marital Status in Middle-Aged Koreans. Journal of Public Health, 40, e99-e106. https://doi.org/10.1093/pubmed/fdx071
Kim, E. S., Park, N., & Peterson, C. (2011). Dispositional Optimism Protects Older Adults from Stroke: The Health and Retirement Study. Stroke, 42, 2855-2859. https://doi.org/10.1161/STROKEAHA.111.613448
Olaseni, O. A., Sylvester, O. A., & Olanrewaju, A. N. (2019). Negative Emotions as Predictors of Blood Pressure among Hypertensive and Normotensive Residents of Gwarinpa: A Community-Based Study in Abuja, Nigeria. Journal of Social Sciences and Humanities, 5, 117-125.
Pankalainen, M., Kerola, T., Kampman, O., Kauppi, M., & Hintika, J. (2016). Pessimism and Risk of Death from Coronary Heart Disease among Middle-Aged and OLDER FInns: An Eleven-Year Follow-Up Study. BMC Public Health, 16, Article No. 1124. https://doi.org/10.1186/s12889-016-3764-8
Qian, X., Ren, R., Wang, Y., Guo, Y., Fang, J., Wu, Z. D. et al. (2020). Fighting against the Common Enemy of COVID-19: A Practice of Building a Community with a Shared Future for Mankind. Infectious Diseases of Poverty, 9, Article No. 34. https://doi.org/10.1186/s40249-020-00650-1
Rosenstock, I. M. (1966). Why People Use Health Services. The Millbank Memorial Fund Quarterly, 44, 94-127. https://doi.org/10.2307/3348967
Scheier, M. F., & Carver, C. S. (1992). Effects of Optimism on Psychological and Physical Well-Being: Theoretical Overview and Empirical Update. Cognitive Therapy and Research, 16, 201-228. https://doi.org/10.1007/BF01173489
Scheier, M. F., Carver, C. S., & Bridges, M. W. (1994). Distinguishing Optimism from Neuroticism (and Trait Anxiety, Self-Mastery, and Self-Esteem): A Re-Evaluation of the Life Orientation Test. Journal of Personality and Social Psychology, 67, 1063-1078. https://doi.org/10.1037/0022-3514.67.6.1063
Siegrist, M., Keller, C., & Kiers, H. A. (2005). A New Look at the Psychometric Paradigm of Perception of Hazards. Risk Analysis, 25, 211-222. https://doi.org/10.1111/j.0272-4332.2005.00580.x
Speedy, S., & Hase, S. (2000).Health Beliefs and Perceptions of Women Presenting or Not Presenting for Mammographic Screening in a Rural Health Setting. Australian Journal of Rural Health, 8, 208-213. https://doi.org/10.1046/j.1440-1584.2000.00273.x
Steca, P., Monzani, D., Avventi, G., Greco, A., & Giardini (2017). Measuring Dispositional Optimism in Patients with Chronic Heart Failure and Their Healthcare Providers: The Validity of the Life Orientation Test-Revised. Patients Preference and Adherence, 11, 1497-1503. https://doi.org/10.2147/PPA.S139522
Wu, F., Zhao, S., Yu, B., Chen, Y. M, Wang, W., Song, Z. G., & Zhang, Y. Z. (2020). A New Coronavirus Associated with Human Respiratory Disease in China. Nature, 579, 265-269. https://doi.org/20.2038/s41586-020-2008-3