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Record W2125186534 · doi:10.1177/070674370605101005

How Spiritual Values and Worship Attendance Relate to Psychiatric Disorders in the Canadian Population

2006· article· en· W2125186534 on OpenAlexaffvenueabout
Marilyn Baetz, Rudy Bowen, Glenn Jones, Tulay Koru‐Sengul

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsMcMaster UniversityCredit Valley HospitalUniversity of Saskatchewan
Fundersnot available
KeywordsPsychiatryWorshipPsychologyOddsAddictionPopulationAnxietyClinical psychologyMental healthOdds ratioDepression (economics)MedicineLogistic regression

Abstract

fetched live from OpenAlex

OBJECTIVE: Research into risk and protective factors for psychiatric disorders may help reduce the burden of these conditions. Spirituality and religion are 2 such factors, but research remains limited. Using a representative national sample of respondents, this study examines the relation between worship frequency and the importance of spiritual values and DSM-IV psychiatric and substance use disorders. METHOD: In 2002, the Canadian Community Health Survey obtained data from about 37,000 individuals aged 15 years or older. While controlling for demographic characteristics, we determined odds ratios for lifetime, 1-year, and past psychiatric disorders, with worship frequency and spiritual values as predictors. RESULTS: Higher worship frequency was associated with lower odds of psychiatric disorders. In contrast, those who considered higher spiritual values important (in a search for meaning, in giving strength, and in understanding life's difficulties) had higher odds of most psychiatric disorders. CONCLUSION: This study confirms an association between higher worship frequency and lower odds of depression and it expands that finding to other psychiatric disorders. The association between spiritual values and mood, anxiety, and addictive disorders is complex and may reflect the use of spirituality to reframe life difficulties, including mental disorders.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.438
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.017
GPT teacher head0.288
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations122
Published2006
Admission routes3
Has abstractyes

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