A mediation model explaining the impact of fear of COVID-19 and COVID-19- induced changes in multiple life domains on adolescents’ subjective well-being in sub-Saharan Africa
Notice bibliographique
Résumé
Though the impact of COVID-19 pandemic's effects on individuals' life domains and quality of life has been widely researched, there remains unanswered questions on the mechanisms that explain the impact of fear of COVID-19 on different measurements of adolescents' subjective well-being (SWB) particularly in the sub-Saharan African context. In a mediation model, we employed data collected during the pandemic to examine the mediating mechanisms that links fear of COVID-19 and COVID-19-induced changes in multiple life domains (subjective feelings of unsafety, positive affect and peer relationships) to different measurements of adolescents' SWB (overall life satisfaction, overall happiness, subjective happiness, and composite SWB). Findings revealed significant negative correlations between fear of COVID-19 and all employed measurements of SWB as well as between the proposed mediating variables - changes in peer relationship, positive affect, subjective feelings of unsafety and the different measurements of SWB. Adolescents who reported negative changes in peer relationship, positive affect and subjective feelings of unsafety were more likely to report poorer SWB including lower life satisfaction and happiness. For instance, adolescents who experienced increase in peer relationship were more likely to experience higher overall life satisfaction (B = .169, p < .005) compared to those who experienced a decrease in peer relationship. Also, adolescents who reported an increase in positive affect were more likely to report higher overall life satisfaction (B = .172, p < .005), overall happiness (B = .056, p < .005), composite SWB (B = .416, p < .005) and subjective happiness (B = .381, p < .001) while adolescents who reported a decrease in perceived safety were more likely to report lower composite SWB (B = -1.350, p < .001) compared to those who experienced an increase in perceived safety. While there was a significant direct negative effect of fear of COVID-19 on SWB in the absence of the mediators, there was no significant negative effect of fear of COVID-19 on SWB after adjusting for the mediators in the model. Consequently, the direct effect of fear of COVID-19 on all the measurements of SWB including overall life satisfaction and happiness were completely mediated by changes in peer relationship, positive affect and subjective feelings of unsafety; suggesting indirect effects of fear of COVID-19 on the adolescents' SWB. For example, change in peer relationship and positive affect mediated the relationship between fear of COVID-19 and overall life satisfaction. Again, change in positive affect and change in subjective feeling of unsafety significantly mediated the effect of fear of COVID-19 on composite SWB and only change in positive affect mediated the effect of fear of COVID-19 on subjective happiness. The mechanism explaining the relationship between fear of COVID-19 and COVID-19-induced changes in multiple life domains and adolescents SWB and the implications for public health policy are discussed.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,003 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,013 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».