“So, Do Not Fear”: Religion and the prevalence, persistence, and severity of anxiety disorders among Black Americans
Bibliographic record
Abstract
BACKGROUND: There is a dearth of scholarship that explicates the effects of religious participation on anxiety disorders among Black Americans. A better understanding of the links between religious participation, a coping resource, and anxiety disorders among Black Americans remains essential, given Black Americans are less likely than their white counterparts to seek professional treatment for mental health problems, leading to greater unmet mental health needs. The aim of this study was to investigate whether religious participation is associated with the prevalence, persistence, and severity of anxiety disorders among Black adults. METHODS: We used a national sample of Black adults (N = 4999) from the National Survey of American Life, a cross-sectional study conducted from 2001 to 2003. Five anxiety disorders were assessed: posttraumatic stress disorder, generalized anxiety disorder, panic disorder, social anxiety disorder, and agoraphobia. Three dimensions of religious participation were assessed: organizational, non-organizational, and subjective religious participation. Weighted logistic and linear regressions were estimated to examine the associations between religious participation and anxiety disorders. RESULTS: Findings indicate that organizational religious participation and subjective religiosity were associated with lower odds of anxiety disorders and decreased severity. Findings for non-organizational religious participation in relation to the prevalence, persistence, and severity of anxiety disorders were mixed. LIMITATIONS: The study limitations include the utilization of self-reported measures, cross-sectional study design, and age of the data set. CONCLUSIONS: Different dimensions of religious participation have differing effects on anxiety disorders. Religious participation may be an important resource for Black Americans in coping and preventing anxiety disorders.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".