HIV and Religion in the Congo: A Mixed-Methods Study
Bibliographic record
Abstract
OBJECTIVE: To explore the relationship between religious affiliation and HIV infection in a war-ravaged community in sub-Saharan Africa. DESIGN: Mixed quantitative and qualitative methods. METHODS: Individuals attending HIV voluntary counseling and testing clinics in Butembo in Eastern Democratic Republic of the Congo (DRC) completed a questionnaire and were tested for HIV infection. Risk factors for HIV seropositivity were explored, with attention to religious affiliation as a potential risk factor. Structured interviews of key informants were used to complement quantitative data. RESULTS: Three hundred and eighty individuals attending six clinics were enrolled. Nearly all participants (97%) self-identified as Christian (44% Catholic; 53% non-Catholic Christian). Twenty-eight patients (7.4%) tested positive for HIV. Age>30 years (adjusted OR 47 [95%CI 2.9-770, p=0.007), married status (adjusted OR 3.7 [95%CI 1.1-13, p=0.037), and Catholic religion (adjusted OR 2.7 [95%CI 1.1-6.8, p=0.030) were independent risk factors for HIV seropositivity in a multivariable logistic regression model. Rates of HIV were higher among Catholic than non-Catholic Christian participants in both single and married participants. The proportion of participants reporting condom use as a primary prevention modality did not differ significantly between religious groups; however, within both Catholic and non-Catholic Christian groups, increasing church attendance was associated with decreased use of condoms. Qualitative data highlighted divergent views toward condom use among Catholic health workers. CONCLUSIONS: In this cross-sectional survey in Eastern DRC, Catholic (relative to non-Catholic Christian) religious affiliation was associated with an increased risk of HIV. Increasing dialogue between biomedical practitioners and religious leaders may strengthen HIV prevention efforts in SSA.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 teacher head, 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".