Adolescent experiences and exposures: a systematic review of life course outcomes
Bibliographic record
Abstract
Background: Adolescence (ages 10-19) is a critical developmental stage that influences outcomes in adulthood and old age. There is growing policy interest in adolescent interventions that are efficiently targeted, demonstrate long-term returns, and impact various domains of well-being. More data is needed to identify which adolescent experiences and exposures can serve as effective levers to shift developmental trajectories and achieve long-term benefits. Methods: This review examines evidence on the predictive outcomes of adolescent experiences and exposures across the life course. The review is registered in PROSPERO (CRD42023407980). Peer reviewed articles published from March 2010 to July 2025 were included. A framework was adapted to track associations across six core domains of well-being-Agency and Resilience, Connectedness, Family Dynamics, Health and Nutrition, Learning Competence, and Safety-from adolescence through the life course. A systematic search identified relevant studies, followed by a structured descriptive review using the Synthesis Without Meta-Analysis (SWiM) methodology to assess the evidence across domains. Quality was evaluated with an adapted Critical Appraisal Skills Program Checklist. Findings: Of the 244 included papers, 2231 analyses tested associations between adolescent exposures and life course outcomes, covering data from over 2.1 million adolescents. The Health and Nutrition domain was the most studied domain accounting for 60% of all tested associations, of which 42% were statistically significant. In addition to predicting health outcomes, health in adolescence predicts violence exposure, education, and employment in later life. Safety and Supportive Environments, and Agency and Resilience, though less studied, were also robust predictors of a range of adult outcomes with 35% and 48% of tested associations being statistically significant, respectively. Learning Competence and Safety in adolescence strongly predicts economic success and stability in adulthood. No studies reported on intergenerational effects of exposures during adolescence. Interpretation: This review uses a systematic approach to demonstrate that adolescent experiences predict adulthood outcomes beyond the original domain of exposure, with significant cross-domain associations. However, it finds that the evidence is unevenly distributed across domains of well-being. In addition, the results shed light on gaps in research on lower-income settings and across demographic variables including sex and socio-economic status. Funding: This work was supported by Velux Stiftung, Zurich.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 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".