Dispositional Optimism in Christian Populations Compared to other Religious Groups: a Scoping Review
Notice bibliographique
Résumé
Introduction There are various ways people cope with life events. One can expect generalized positive or negative outcomes across various life domains, called dispositional optimism. This can be explained by attribution theory: how people explain past events, their causations, and outcomes. Understanding attribution styles is important to help people reframe current circumstances and improve mental wellbeing. Our hypothesis is that people of different religious groups may exhibit various levels of optimism and pessimism based on their values, teachings, and practices. Previous research has found that people of Christian faith, or those with a religious faith in general, look to their religion as a way of coping during life adversities. Certain religious practices such as prayers and Church gatherings have been found to improve mental health through increasing dispositional optimism. While the relationship between religiosity and mental health has been previously examined in different religious populations, there are few studies that focused on comparing this relationship across religions. Objectives The objective of this scoping review is to understand the link between religiosity and mental health, focusing primarily on how people of the Christian religion demonstrate dispositional optimism or pessimism when coping with adverse life events, compared to other religious groups or atheists. Methods This scoping review included original peer reviewed study articles that studied mental health in terms of dispositional optimism or pessimism in people of Christian religion compared to other religious groups. This review used online databases, Ovid MEDLINE and PsycInfo, and used extraction tables to analyze the results of past research. Results The results of this scoping review revealed that people of Christian religion, especially those high in religiosity, use their religion as a method of coping. This population also showed higher dispositional optimism compared to atheists or those that believe in other religions. However, when compared to other religions such as Buddhism and Muslim, Christian populations showed lower dispositional optimism. Conclusions It is evident that religious involvement is linked to aspects of mental health, but comparing the effects of different religions is still a topic of exploration that can be investigated further to allow deeper understanding of their similarities and differences, as well as the mechanisms by which religion can affect mental health. In this review, a gap in the body of knowledge regarding the relationship between religion and pessimism was revealed. Future research directions could include examining whether dispositional pessimism varies across religious groups, as it does not necessarily have a perfectly inverse relationship with optimism. 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 | 0,006 | 0,042 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,004 | 0,004 |
| Bibliométrie | 0,017 | 0,016 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 ».