In Simple Words
Think of a sapling in a garden: giving it better fertilizer and extra water every day will immediately thicken its leaves and trunk within a few months, but making the tree grow noticeably taller takes many years of uninterrupted nourishment.
Girls aged 5 to 15 in rural India
- No study recruiter visits
- Group used for comparison
- Annual recruiter visits
- BMI for age 0.24 standard deviations higher
Ages measured at three-year follow-up. BMI reflects nutrition or health; no clear height effect.
See source →Research question
Child health interventions and intrahousehold resource shifts produce distinct biological responses across different time horizons, making it difficult to distinguish immediate caloric and health investments from cumulative long-term skeletal growth changes.
Participants
2,031 young girls aged 5–15 across 160 rural Indian villages.
Study Design
Randomized field trial collecting physical anthropometric measurements (height and weight) to calculate WHO standardized age-adjusted z-scores over a three-year intervention period.
Results
Treatment significantly increased girls' body mass index (BMI) for age z-scores by 0.24 standard deviations (p < 0.01), whereas height-for-age z-scores showed no statistically significant change (+0.04 SD, p > 0.10), reflecting rapid weight and nutritional adaptation over a three-year window.
Takeaway
Utilize body mass index (BMI) z-scores rather than height-for-age z-scores when evaluating short-to-medium term nutritional improvements in child health interventions.
Source and citation
See source →Read alongside the research
Plain-English glossary
Original explanations, informed by the references below. Examples are illustrations, not data from the studies above. The research text stays unchanged.
- Statistically significant
A label used when a result passes a chosen statistical threshold, often p < 0.05. It does not show how large or useful an effect is. A result that is not statistically significant does not prove there is no effect.
ExampleA study reports p = 0.03 against a 0.05 threshold. It passes that test, but the effect could still be too small to matter.
American Statistical Association · Statement on p-values ↗Read more about statistically significant →