Consistent condom use among men who pay for sex in sub-Saharan Africa: Empirical evidence from Demographic and Health Surveys
Bibliographic record
Abstract
BACKGROUND: Paying for sex has often been associated with risky sexual behavior among heterosexual men, and men who pay for sex are considered as a bridging population for sexually transmitted infections. Consistent condom use during paid sex is essential for reducing sexually transmitted infections, including HIV/AIDS. In this study, we assessed the prevalence and predictors of consistent condom use among men who pay for sex in sub-Saharan Africa. MATERIALS AND METHODS: We pooled data from 29 sub-Saharan African countries' Demographic and Health Surveys. A total of 3,353 men in sub-Saharan Africa who had paid for sex in the last 12 months preceding the surveys and had complete information on all the variables of interest were used in this study. The outcome variable for the study was consistent condom use for every paid sex in the last 12 months. Both bivariate and multivariable logistic regression analyses were carried out. Results were presented as adjusted odds ratios with their corresponding 95% confidence intervals. Statistical significance was declared at p< 0.05. RESULTS: Overall, the prevalence of consistent condom use during paid sex in sub-Saharan Africa was 83.96% (CI = 80.35-87.56), ranging from 48.70% in Benin to 98% in Burkina Faso. Men aged 35-44 [AOR, 1.39 CI = 1.04-1.49], men in the richest wealth quintile [AOR, 1.96 CI = 1.30-3.00], men with secondary level of education [AOR, 1.69 CI = 1.17-2.44], and men in Burkina Faso [AOR = 67.59, CI = 8.72-523.9] had higher odds of consistent condom use during paid sex, compared to men aged 15-19, those in the poorest wealth quintile, those with no formal education, and men in Benin respectively. Conversely, Muslim men had lower odds [AOR = 0.71, CI = 0.53-0.95] of using condom consistently during paid sex, compared to Christian men. CONCLUSION: Empirical evidence from this study suggests that consistent condom use during paid sex encompasses complex social and demographic characteristics. The study also revealed that demographic characteristics such as age, wealth quintile, education, and religion were independently related to consistent condom use for paid sex among men. With sub-Saharan Africa having the highest sexual and reproductive health burden in the world, continuous application of evidence-based interventions (e.g., educational and entrepreneurial training) that account for behavioural and social vulnerabilities are required.
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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 | 0.008 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".