Influence of socio-contextual factors on the link between traditional and new media use, and young people’s sexual risk behaviour in Sub-Saharan Africa: a secondary data analysis
Bibliographic record
Abstract
BACKGROUND: Traditional and new media use links to young people's sexual risk behaviour. The social contexts of young people's daily lives that influence media use and sexual risk behaviour are often investigated as independent causal mechanisms. We examined the link between media use and young people's sexual risk behaviour, considering the intersecting socio-contextual factors in Sub-Saharan Africa. METHODS: Age-adjusted bivariate logistic regression models tested the association between traditional media (TV, radio, and newspapers), and new media (mobile phone and online) use and sexual risk behaviour using the Demographic and Health Surveys from six Sub-Saharan African countries among unmarried sexually active youths, aged 15-24 years. Multivariate logistic regression models ascertained the media sources that had an additional influence on young people's sexual risk behaviour, after accounting for socio-contextual factors, and knowledge about HIV and other sexually transmitted infections. RESULTS: Socio-contextual factors attenuated the association between media use and young people's sexual risk behaviour in many countries. However, those who did not have access to new and traditional media were more likely to use unreliable contraceptive methods or not use contraception. Adolescents in Nigeria who did not own phones were 89% more likely to use unreliable contraceptive methods or not use any methods [(AOR = 1.89 (1.40-2.56), p < .001)], those in Angola who did not read newspapers had higher odds of not using contraception or used unreliable methods [(aOR = 1.65 (1.26-2.15), p < .001)]. Young people in Angola (aOR = 0.68 (0.56-0.83), p < .001), Cameroon [(aOR = 0.66 (0.51-0.84), p < .001)], Nigeria [(aOR = 0.72 (0.56-0.93), p = .01)], and South Africa [(aOR = 0.69 (0.49-0.98), p = .03)] who did not own phones were less likely to have 2 or more sexual partners compared to those who owned phones. Lack of internet access in Mali was associated with lower odds of having 2 or more sexual partners (aOR = 0.45 (0.29-0.70), p < .001). Traditional media use was significantly associated with transactional sex in many countries. CONCLUSIONS: Media use is linked to sexual risk behaviour among young people in Sub-Saharan Africa. Socioeconomic inequalities, levels of globalization, as well as rural-urban disparities in access to media, underscore the need to deliver tailored and targeted sexual risk reduction interventions to young people using both traditional and new media.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".