Prevalence and predictors of PTSD and resilience among Adolescents and Young Adults: Findings from the MoreGoodDays Support Program in Alberta, Canada
Notice bibliographique
Résumé
Introduction Adolescents and young adults have particularly been impacted by the COVID-19 pandemic, leading to a rise in the incidence of mental health issues. Increased exposure to traumatic events may lead to decreased resilience and subsequently increased likely PTSD. Objectives This study sets out to examine the predictors and prevalence of likely PTSD and determine the level of resilience among adolescents and young adults. Methods A cross-sectional study using an online survey questionnaire was adopted to collect sociodemographic and clinical information from the subscribers of MoreGoodDays. The PTSD Checklist Civilian (PCL-C) and the Brief Resilience Scale (BRS was respectively used to assess likely PTSD and resilience Data was analyzed with SPSS version 25 using chi-squared tests and multivariate logistic regression analysis. Results 343 of MoreGoodDays subscribers who participated in the survey were about 343. Most were female (79.0%), and 13.7% were male. Overall, 95 (45.7%) of respondents had likely PTSD and 109 (51.7%) had likely low resilience. Approximately 176 (51.3%) respondents had received mental health counselling, and 64 (35.4%) expressed the desire to receive mental health counselling. When all other variables are controlled in the regression model, respondents who have received mental health counselling in the past year were 13.7 times more likely to experience likely PTSD (OR = 13.70; 95% CI: 1.23- 142.86) and 15.15 times more likely to experience low resilience than those who did not (OR = 15.15; 95% CI: 1.46- 166.67). Again, those who would like to receive mental health counselling were 20.8 times more likely to experience PTSD than those who did not (OR = 20.76; 95% CI: 2.61- 165.401) and 29.4 times more likely to experience low resilience than those who did not (OR = 29.42; 95% CI: 3.31- 261.445). Finally, those with four or more ACE scores were 6.2 times more likely to experience likely PTSD than those who had zero scores (OR = 6.24; 95% CI: 1.46- 26.67). Conclusions MoreGoodDays subscribers were disproportionally affected by likely PTSD and low resilience, reflecting the devastating effect of the COVID-19 pandemic. Increased ACE has been linked to low resilience, which may also lead to a rise in mental health issues. Strategies to promote resilience may reduce the incidence of likely PTSD. Educational institutions may adopt innovative mental health interventions, including psychological interventions such as mobile text technology, to support the mental health of this cohort. Policymakers and government agencies are encouraged to give the mental health of young adults and youth more prominence on their agenda. Disclosure of Interest None Declared
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Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
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| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, pas un consensus.
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