Modeling predictors of COVID-19 health behavior adoption, sustenance and discontinuation among social media users in Nigeria
| dc.contributor.author | Sanusi, Bernice Oluwalanu | |
| dc.date.accessioned | 2021-03-01T06:02:01Z | |
| dc.date.available | 2021-03-01T06:02:01Z | |
| dc.date.issued | 2021-02-22 | |
| dc.description.abstract | 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 | en_US |
| dc.identifier.uri | http://dspace.run.edu.ng:8080/jspui/handle/123456789/145 | |
| dc.publisher | Telematics and Informatics, Elsevier | en_US |
| dc.subject | Adoption | en_US |
| dc.subject | COVID-19 Discontinuation | en_US |
| dc.subject | Health behaviour Sustenance | en_US |
| dc.subject | Social media | en_US |
| dc.title | Modeling predictors of COVID-19 health behavior adoption, sustenance and discontinuation among social media users in Nigeria | en_US |
| dc.type | Article | en_US |