Publication | Open Access
Preventive health behaviours during coronavirus disease 2019 pandemic based on health belief model among Egyptians
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Citations
16
References
2020
Year
Health PsychologyCovid-19 EpidemiologyCovid-19Health ProtectionPreventive MedicineHealth CommunicationPublic Health PracticePreventive Health BehavioursPublic HealthCoronavirus Disease 2019Long CovidHealth Belief ModelHealth InterventionGlobal Health CrisisDisease PreventionHealth PromotionCovid-19 PandemicPreventive BehavioursPublic Health PolicyEpidemiologyHealth BehaviourEgyptian PopulationGlobal HealthHealth BehaviorArtsGlobal Health EpidemiologySocial Distancing
Abstract Background Coronavirus disease 2019 (COVID-19) is spreading rapidly in the world, and on 11 March 2020, WHO announced the outbreak a global pandemic. Given the severity of this major outbreak and the importance of prevention and protection against the spread of SARS-CoV-2, the predictors of engaging in the preventive behaviours could potentially be of great practical importance as it could help us identify high-risk groups and take the necessary steps towards improving their health behaviour. As the health behavioural response of the Egyptian population during COVID-19 is unknown and the health belief model constructs can be used to explain health behaviour, this study was conducted to assess the preventive behaviours to COVID-19 and the associated role of health belief model constructs over three periods of time; at the beginning of COVID-19 pandemic then 4 weeks and10 weeks later. Results Perceived severity and benefits of health belief model constructs showed significant decrease in the 2 nd interview, followed by an increase in the 3 rd interview ( P < 0.001). Perceived barriers showed a significant increase in the 2 nd interview followed by a significant decrease in the 3 rd interview ( P < 0.001). Knowledge score was significantly lower at the start, then a surge happened in the next interview followed by a slight drop in the 3 rd interview ( P < 0.001). Preventive behaviours were significantly lower in the 2 nd interview then significantly higher in the 3 rd interview ( P < 0.001). On the analysis of the factors associated with preventive behaviours using multivariate regression, the results determined age, high education, being a health care worker, perceived susceptibility, benefits, barriers and self-efficacy. Conclusions Perceptions of benefits could be increased by tailoring communication strategies to various groups, emphasizing how different people can engage in effective preventive behaviours. Policy makers should pay attention to lower-educated persons living in rural areas being a group with the least engagement in health-protective actions.
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