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Abstract
Background: Repeat adolescent pregnancy compounds obstetric and socioeconomic risk, yet conventional models seldom capture the non-linear interplay of psychosocial and sociodemographic determinants, particularly in low- and middle-income registries where such variables are rarely recorded.
Objective: To develop and compare interpretable machine-learning models to identify determinants of repeat adolescent pregnancy in an Indonesian metropolitan cohort.
Methods: In this retrospective cohort study, electronic medical records (2018–2023) from a tertiary referral hospital and affiliated primary-care network in Palembang, Indonesia, were analysed for 1,245 adolescents (aged 10–19 years) with at least one prior pregnancy. The outcome was a second pregnancy before age 20. Five models (logistic regression, random forest, support vector machine, multilayer perceptron, and XGBoost) were trained with SMOTE and 5-fold cross-validation; discrimination was assessed by AUC-ROC and interpretability by SHAP. A multivariable logistic model provided adjusted odds ratios (aOR).
Results: Repeat pregnancy occurred in 312/1,245 adolescents (25.06%; 95% CI 22.7–27.5%). XGBoost achieved the highest discrimination (AUC 0.89, 95% CI 0.86–0.92; F1 0.84). Independent determinants were non-use of postpartum LARC (aOR 8.86, 95% CI 6.00–13.07; p<0.001), low family support (aOR 3.82; p<0.001), education at most junior high (aOR 3.76; p<0.001), elevated EPDS (aOR 2.92, 95% CI 1.95–4.37; p<0.001), and age under 16 at first pregnancy (aOR 2.85; p<0.001). Postpartum LARC was strongly preventive (NNT approximately 3).
Conclusion: Interpretable gradient boosting accurately stratified repeat adolescent pregnancy risk, and psychosocial determinants carried predictive weight comparable to contraceptive non-use. These findings support risk-stratified, bio-psycho-social postpartum care and targeted LARC counselling for adolescent mothers in Indonesia.
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Sriwijaya Journal of Obstetrics and Gynecology (SJOG) allow the author(s) to hold the copyright without restrictions and allow the author(s) to retain publishing rights without restrictions, also the owner of the commercial rights to the article is the author.
