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Modeling predictors of COVID-19 health behaviour adoption, sustenance and discontinuation among social media users in Nigeria

机译:Covid-19健康行为的建模预测因子通过,尼日利亚社会媒体用户中的寄托和停药

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The aim of this study was to suggest a model that explains the predictors of COVID-19 health behaviour adoption, sustenance and discontinuation among social media users in Nigeria. Survey research design was used for the study. The sample size was made of 600 social media users with questionnaire as the instrument for data collection. The structural equation modeling (SEM) was utilized to analyse the result for the study. It was found that six variables-risk vulnerability, risk severity, barriers to action, benefits of action, self-efficacy, and cue to behaviour-predict COVID-19 health behaviour adoption. Also, two variables-risk vulnerability and risk severity-predict COVID-19 health behaviour sustenance. Finally, two variables-behaviour fatigue and behaviour discomfort-predict COVID-19 health behaviour discontinuation. The result of the current study has provided information that could guide health experts in dealing with the issue of behaviour fatigue and behaviour discomfort, which have been identified as responsible for health behaviour discontinuation. In addition, a model for predicting health behaviour adoption, sustenance and discontinuation has been suggested.
机译:本研究的目的是建议一个模型,解释了尼日利亚社会媒体用户在社交媒体用户中采用,储存和停止的预测因素。调查研究设计用于研究。样本大小由600名社交媒体用户制成,具有调查问卷作为数据收集仪器。结构方程建模(SEM)用于分析研究结果。有人发现,六种变量风险脆弱性,风险严重程度,行动障碍,行动的效益,自我效力,以及行为 - 预测Covid-19健康行为采用。此外,两个变量风险漏洞和风险严重程度 - 预测Covid-19健康行为寄托。最后,两个变量 - 行为疲劳和行为不适 - 预测Covid-19健康行为停止。目前的研究结果提供了可以指导卫生专家在处理行为疲劳和行为不适的问题的信息,这些问题已被确定为负责卫生行为停止。此外,还提出了一种预测健康行为,寄托和停止的模型。

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