Prevalence and predictors of teenage pregnancy in Pakistan: a trend analysis from Pakistan Demographic and Health Survey datasets from 1990 to 2018
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Background Teenage pregnancies carry an increased risk of adverse obstetric and health outcomes for mothers and children. Methods This study assessed the prevalence and predictors of teenage pregnancies over time in Pakistan using the Pakistan Demographic and Health Survey (PDHS). Data on 400 076 ever-married pregnant women aged 15–49 y from four PDHS datasets were used. Teenage pregnancy was the outcome variable, whereas a woman's and her partner's education, occupation, wealth quintile, region, place of residence and access to knowledge on family planning were the explanatory variables. Pooled prevalence was estimated and regression analysis was undertaken to produce an adjusted prevalence ratio with 95% CIs. Results Although the prevalence of teenage pregnancy decreased from 54.4% in 1990–1991 to 43.7% in 2017–2018, the pooled prevalence was 42.5% (95% CI 37.9 to 49.6%). The prevalence of teenage pregnancy was significantly associated with place of residence, wealth quintile, education and occupation. Conclusion Despite a growing focus on women's education, access to sexual and reproductive health (SRH) services and contraception in the last decade in Pakistan, the prevalence of teenage pregnancy is still high. There is a pressing need to develop appropriate strategies for increasing access to education, SRH services and use of contraception in Pakistan.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 it