Financial Crisis and its Effect on Psychological Well-Being, Health, Satisfaction, and Financial Incapability; A Systematic Review
Bibliographic record
Abstract
Background and Objectives: The decline in GDP caused by the global economic recession of 2008 and that caused by the COVID-19 pandemic has resulted in the poor economy of countries around the globe with increased rates of unemployment and adverse job conditions. This systematic review aims to identify the impact of a Financial crisis on Psychological well-being, Life satisfaction, Health Satisfaction, and Financial Incapability. Methodology: The literature included in the review was searched from Feb 1, 2023, to March 26, 2023, by using the PUBMED database as the search engine. Studies discussing the impact of the financial or economic crisis on psychological well-being, Health, Life satisfaction, and Financial Incapabilities published in the English Language were included in this review whereas systematic reviews and metanalysis, case reports, articles published in languages other than English and articles with limited access were excluded. Results: Of the 26 articles found eligible for the study, there were 22 Quantitative studies, 2 qualitative studies, and 2 Mixed Method Studies. Most of the articles included in this study discussed the Global Economic crisis caused by COVID-19 and the Global Financial Crisis of 2008. Almost 80% of the studies included in this review discussed psychological well-being and the prevalence of psychological disorders including Depression, Anxiety, Stress, Fear, Loneliness, Burnout, and Suicide whereas the rest of the articles discussed mortality regarding mental disorders. Conclusion: Financial crisis or economic recession results in an increased prevalence of common mental disorders affecting psychological well-being by increasing rates of unemployment and adverse job conditions. Policymakers with competitive financial behavior and knowledge are essential elements for psychological well-being and life satisfaction. Keywords: Economic Crisis, Indebtedness, Mental illness, Psychological well-being, Depression, Anxiety
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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 | 0.007 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.006 |
| Bibliometrics | 0.010 | 0.010 |
| 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) | 0.004 | 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".