Exploring factors associated with individual differences in the mental health of university students during the COVID-19 pandemic
Notice bibliographique
Résumé
Rates of anxiety and depression are known to be high in university students, and the COVID-19 pandemic appears to have exacerbated this situation slightly, especially in females. Research has consistently identified alexithymia, sensory processing sensitivity (SPS), anxiety sensitivity (AS), and childhood emotional abuse as risk factors for poor mental health outcomes. Given that linkages have also been reported between these variables, it is difficult to ascertain the unique weight of each factor in the overall prediction of mental health. The current dissertation sought to fill this gap in the literature by investigating how these and other potentially relevant variables relate to depression and anxiety in young adults engaged in widely differing levels of physical activity. In Study 1, 410 university students completed an online survey assessing current mood, alexithymia, SPS, AS, childhood emotional abuse, physical activity, and pandemic-related impacts. Over half of the participants reported moderate to extremely severe symptoms of anxiety and depression. Alexithymia, SPS, AS, and childhood emotional abuse each accounted for unique variance in prediction of both anxiety and depression. Males scored significantly lower than females on SPS and AS, but male sex emerged as an additional risk factor for depression when these variables were controlled for. Several secondary analyses were carried out using the data from the 309 female participants to gain further insights into their risk profile. The results suggested that risk for exercise dependence negatively predicted depression, and that being an athlete positively predicted anxiety, when effects related to the aforementioned personality and experiential variables were controlled. Finally, two follow-up studies were conducted involving a subgroup of the females who took part in the original investigation. The results of these studies suggested that, in females, problems exercising self control when demands of emotion and attentional processing overlap accounted for unique variance in prediction of anxiety and that body uneasiness accounted for unique variance in prediction of both anxiety and depression, when holding variance accounted for by personality and experiential variables constant. The results from this basic research provide a more nuanced understanding of the influence of co-occurring alexithymia, SPS, AS, and childhood emotional abuse on emotional processing during the COVID-19 pandemic. They also have important implications for the development and implementation of individualized treatments for common mental disorders, particularly in females.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».