4.8 Article

Early Childhood Investments Substantially Boost Adult Health

Journal

SCIENCE
Volume 343, Issue 6178, Pages 1478-1485

Publisher

AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/science.1248429

Keywords

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Funding

  1. National Center on Minority Health and Health Disparities, NIH [5RC1MD004344]
  2. American Bar Foundation
  3. Pritzker Children's Initiative
  4. Buffett Early Childhood Fund
  5. NIH [NICHD 5R37HD065072, 1R01HD54702]
  6. European Research Council [DEVHEALTH 269874]
  7. Institute for New Economic Thinking (INET)
  8. Economic Opportunity Global Working Group (HCEO)-an initiative of the Becker Friedman Institute for Research in Economics (BFI)
  9. Economic and Social Research Council [ES/H021221/1] Funding Source: researchfish
  10. Northern Ireland Chest Heart and Stroke [Test-Frances] Funding Source: researchfish
  11. ESRC [ES/H021221/1] Funding Source: UKRI

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High-quality early childhood programs have been shown to have substantial benefits in reducing crime, raising earnings, and promoting education. Much less is known about their benefits for adult health. We report on the long-term health effects of one of the oldest and most heavily cited early childhood interventions with long-term follow-up evaluated by the method of randomization: the Carolina Abecedarian Project (ABC). Using recently collected biomedical data, we find that disadvantaged children randomly assigned to treatment have significantly lower prevalence of risk factors for cardiovascular and metabolic diseases in their mid-30s. The evidence is especially strong for males. The mean systolic blood pressure among the control males is 143 millimeters of mercury (mm Hg), whereas it is only 126 mm Hg among the treated. One in four males in the control group is affected by metabolic syndrome, whereas none in the treatment group are affected. To reach these conclusions, we address several statistical challenges. We use exact permutation tests to account for small sample sizes and conduct a parallel bootstrap confidence interval analysis to confirm the permutation analysis. We adjust inference to account for the multiple hypotheses tested and for nonrandom attrition. Our evidence shows the potential of early life interventions for preventing disease and promoting health.

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