Evidence map›Paper›PMID 27494247›Full record

ArticleEconomics and human biology2016

Climatic conditions and child height: Sex-specific vulnerability and the protective effects of sanitation and food markets in Nepal.

Prajula Mulmi, Steven A Block, Gerald E Shively, William A Masters

Open access · hybridAbstract read
In one paragraph

Article in Economics and human biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.2field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Climate change, social vulnerability and child nutrition in South Asia.Global environmental change : human and policy dimensions · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Rural Food Markets and Child Nutrition.American journal of agricultural economics · 2019
    Article
  13. Infrastructure mitigates the sensitivity of child growth to local agriculture and rainfall in Nepal and Uganda.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  14. Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Prajula MulmiFriedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Avenue, Boston, MA 02111, United States. Electronic address: prajula.mulmi@tufts.edu.
Steven A BlockFletcher School of Law and Diplomacy, Tufts University, 160 Packard Avenue, Medford, MA 02155, United States. Electronic address: steven.block@tufts.edu.
Gerald E ShivelyDepartment of Agricultural Economics, Purdue University, 403 West State Street, West Lafayette, IN 47907, United States. Electronic address: shivelyg@purdue.edu.
William A MastersFriedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Avenue, Boston, MA 02111, United States; Department of Economics, Tufts University, 8 Upper Campus Road, Medford, MA 02155, United States. Electronic address: william.masters@tufts.edu.
Tufts University · USState Street (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental conditions in early life are known to have impacts on later health outcomes, but causal mechanisms and potential remedies have been difficult to discern. This paper uses the Nepal Demographic and Health Surveys of 2006 and 2011, combined with earlier NASA satellite observations of variation in the Normalized Difference Vegetation Index (NDVI) at each child's location and time of birth to identify the trimesters of gestation and periods of infancy when climate variation is linked to attained height later in life. We find significant differences by sex: males are most affected by conditions in their second trimester of gestation, and females in the first three months after birth. Each 100-point difference in NDVI at those times is associated with a difference in height-for-age z-score (HAZ) measured at age 12-59 months of 0.088 for boys and 0.054 for girls, an effect size similar to that of moving within the distribution of household wealth by close to one quintile for boys and one decile for girls. The entire seasonal change in NDVI from peak to trough is approximately 200-300 points during the 2000-2011 study period, implying a seasonal effect on HAZ similar to one to three quintiles of household wealth. This effect is observed only in households without toilets; in households with toilets, there is no seasonal fluctuation, implying protection against climatic conditions that facilitate disease transmission. We also use data from the Nepal Living Standards Surveys on district-level agricultural production and marketing, and find a climate effect on child growth only in districts where households' food consumption derives primarily from their own production. Robustness tests find no evidence of selection effects, and placebo regression results reveal no significant artefactual correlations. The timing and sex-specificity of climatic effects are consistent with previous studies, while the protective effects of household sanitation and food markets are novel indications of mechanisms by which households can gain resilience against adverse climatic conditions.

Indexed as

Body HeightClimateChild, PreschoolFemaleFood SupplyHumansInfantInfant, NewbornMaleMaternal ExposureNepalPregnancyResidence CharacteristicsSanitationSeasonsSex FactorsChild healthChild nutritionMaternal healthSanitationSeasonality

Identifiers

PMID27494247
PMCPMC5147727
OpenAlexW2337162311

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.