Impact of scaling up prenatal nutrition interventions on human capital outcomes in low- and middle-income countries: a modeling analysis
Bibliographic record
Abstract
BACKGROUND: Prenatal nutrition interventions can lead to improved birth outcomes, which in turn are associated with better education and human capital outcomes later in life. OBJECTIVE: We estimated the impact of scaling up iron-folic acid (IFA), calcium, multiple micronutrient (MMS), and balanced energy protein (BEP) supplementation for pregnant women, on human capital outcomes in low- and middle-income countries (LMIC). METHODS: We used mathematical modeling with proportional reductions in adverse birth outcomes to estimate the potential gains in school years and lifetime income due to scaling up each prenatal nutrition intervention. Estimates of intervention effects on birth outcomes were derived from meta-analyses of randomized trials. Estimates of the associations between birth outcomes and schooling and lifetime income were derived from de novo meta-analyses of observational studies. RESULTS: Across 132 LMIC, scaling up prenatal nutrition interventions to 90% coverage was estimated to increase school years and lifetime income per birth cohort by: 2.28 million y (95% uncertainty intervals (UI): -0.44, 6.26) and $8.26 billion (95% UI: -1.60, 22.4) for IFA; 4.08 million y (95% UI: 0.12, 9.68) and $18.9 billion (95% UI: 0.59, 44.6) for calcium; 5.02 million y (95% UI: 1.07, 11.0) and $18.1 billion (95% UI: 3.88, 39.1) for MMS; and 0.53 million y (95% UI: -0.49, 1.70) and $1.34 billion (95% UI: -1.10, 3.10 billion) for BEP supplementation. South Asia and Sub-Saharan Africa tended to have the largest estimated regional gains in school years for scaling up each intervention due to the large population size and high burden of poor birth outcomes. Absolute income benefits for each intervention were estimated to be the largest in Latin America, where returns to education and incomes are higher relative to other regions. CONCLUSION: Increasing coverage of prenatal nutrition interventions in LMIC may lead to substantial gains in schooling and lifetime income. Decision makers should consider the potential long-term human capital returns of investments in maternal nutrition.
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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 | 0.012 | 0.020 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.011 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".