Dispositional Optimism in Christian Populations Compared to other Religious Groups: a Scoping Review
Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.017 | 0.016 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".