Mitigating COVID-19 related stress: an exploration of the mediating effect of various forms of social support
Notice bibliographique
Résumé
Background: The COVID-19 pandemic is an ongoing stressor that has severely affected people’s lives and mental health. Previous literature has revealed that prolonged measures implemented to slow the spread of the virus, as well as exposure to pandemic related stressors, have led to numerous psychopathologies, including and especially symptoms of trauma- and stressor-related (TSR) disorders. Social support is a well-established buffer of stress and a protective factor following trauma exposure. Some studies have shown its efficacy in dampening psychological problems linked to COVID-19 related stressors. However, only one study has examined the mediating role of social support in general, and no study has examined the role of specific sources of support in mediating the association between exposure to COVID-19 stressors and (TSR) symptoms. Objectives: The primary aim of the current study was to examine the mediating effect of social support in the relationship between COVID-19 stressors exposure and TSR symptoms. The secondary aim of this study was to assess the differential mediating effect of distinct sources of support (i.e., support from family, friends, a professional and via social media) in this association. Methods: 5 913 adults mostly from Canada, France, Italy, the U.S., China, completed a cross-sectional web-based survey on the psychosocial effects of the COVID-19 pandemic between April and May of 2020. TSR symptoms were measured using the 6-item abridged version of the Impact of Event Scale – Revised. Exposure to COVID-19 stressors was assessed using 19 self-reported yes/no questions and social support (SS) variables were assessed using four self-reported questions with a likert-like response format: help and emotional support from friends, family, a mental health professional and support via social media. Data Analysis: Simple and parallel mediation analysis were conducted to investigate mediation effects of social support variables (i.e., social support as a composite variable as well as distinct social support variables). Results: Social support in general did not mediate the effect of COVID-19 stressors on TSR symptoms (β =.001; 95% CI = .000 - .003) in our sample. In terms of specific sources of support, support from a professional and support via social media had statistically significant but negligible mediating effects (.003 ≤ βs ≤ .01). Support from friends and family did not mediate the relationship examined. Discussion: Social support variables had little to no buffering effect on TSR symptoms in this sample during the pandemic. Studies involving comprehensive social support scales and subscales (rather than single items) are needed to determine the actual role of social support – if any – in these relations. Alternate interpretations, methodological pitfalls, as well as the practical and clinical implications of this finding are addressed. Ways to address such methodological issues in the future 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 | 0,002 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,000 |
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 ».