ArticleTelematics and informatics2021
Modeling predictors of COVID-19 health behaviour adoption, sustenance and discontinuation among social media users in Nigeria.
Article in Telematics and informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 21 citations in OpenAlex.
- Rethinking the frontiers of vaccine acceptance: Impact of visual messages in promoting the actual intake of COVID-19 vaccines among vulnerable populations.Human vaccines & immunotherapeutics · 2023Article
- Modelling the Factors That Predict the Intention to Take COVID-19 Vaccine in Nigeria.Journal of Asian and African studies · 2023Article
- Understanding individual psychological and behavioral responses during COVID-19: Application of stimulus-organism-response model.Telematics and informatics · 2023Article
- The influence of social conformity on mask-wearing behavior during the COVID-19 pandemic.Heliyon · 2023Article
- Students are at risk? Elucidating the impact of health risks of COVID-19 on emotional exhaustion and academic performance: role of mindfulness and online interaction quality.Current psychology (New Brunswick, N.J.) · 2023Article
- Resilience and Wellbeing Strategies for Pandemic Fatigue in Times of Covid-19.International journal of applied positive psychology · 2023Review
- Predicting COVID-19 health behaviour initiation, consistency, interruptions and discontinuation among social media users in Nigeria.Health promotion international · 2022Article
- Investigating the Role of Perceived Information Overload on COVID-19 Fear: A Moderation Role of Fake News Related to COVID-19.Frontiers in psychology · 2022Article
- Exploring public perceptions of the COVID-19 vaccine online from a cultural perspective: Semantic network analysis of two social media platforms in the United States and China.Telematics and informatics · 2021Article
- Tourists' Health Risk Threats Amid COVID-19 Era: Role of Technology Innovation, Transformation, and Recovery Implications for Sustainable Tourism.Frontiers in psychology · 2021Article
- Social Media Efficacy in Crisis Management: Effectiveness of Non-pharmaceutical Interventions to Manage COVID-19 Challenges.Frontiers in psychiatry · 2021Review
- The Role of Social Media in the Advent of COVID-19 Pandemic: Crisis Management, Mental Health Challenges and Implications.Risk management and healthcare policy · 2021Article
- Investigating the Impacts of Information Overload on Psychological Well-being of Healthcare Professionals: Role of COVID-19 Stressor.Inquiry : a journal of medical care organization, provision and financingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.