Identifying predictors of resilient coping in students during COVID-19 lockdown
Notice bibliographique
Résumé
Introduction Although increasing resilient coping throughout life is beneficial, it is particularly important in young people. To prevent the development of mental health problems, it is crucial to understand the factors associated with resilience. However, among university students, the characteristics considered conducive to resiliency have not been sufficiently studied, particularly during pandemic times. Objectives The present study examined factors associated with resilient coping in Portuguese higher education students during the COVID-19 pandemic. Methods Data were collected from an opportunity large sample of participants during the academic year 2020/2021. Four self-report measures were utilized within the study: Herth Hope Index, Brief Resilient Coping Scale, Depression Anxiety and Stress Scale – 21 items, and Impact of Event Scale-Revised. Additionally, a demographic questionnaire was used to collect data including age, gender, have children, education level, and study area. Ethics clearance was obtained. In order to test the research question, a multiple regression was conducted (using SPSS 28), with resilient coping as the dependent variable and the other variables entered as potential predictor variables. Results A total of 1522 students (75.1% women and 24.9% men) took part in this study. Most participants were single (91.2%), had no children (93%), and the ages ranged from 18 to 59, with a mean age of 22.88±6.93 years. In terms of study level, the majority of students (73.7%) are at the undergraduate level and are not working (76.6%). Among the participants, 35.7%, 36.2%, and 28.5% had symptoms of stress, anxiety, and depression above the normal range, respectively. High resilience scores were found in 215 participants (14.1%). The mean hope (HHI) was 35.53 (SD = 5.92). Our results also demonstrated that hope is the only predictor of resilient coping (p<0.001). A higher level of hope is expected to affect people’s psychological adjustment by influencing both their appraisal of, and their coping with, the stressors confronted by them. Conclusions Establishing and improving protective factors should increase the likelihood of the individual successfully avoiding negative outcomes and increase their ability to function normally, thus promoting resilient outcomes. We were able to draw practical implications for developing resilience-promoting methods in a university context. These results can be used to help students build resilience by preparing for future problems. Disclosure of Interest None Declared
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) | 0,004 | 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 ».