Evidence map›Paper›PMID 40105840›Full record

ArticleJAMA network open2025

Preconception and Prenatal Environment and Growth Faltering Among Children in Uganda.

Paddy Ssentongo, Claudio Fronterre, Jessica E Ericson, Ming Wang, Laila Al-Shaar, Helen Greatrex, Philip O Omadi, Joseph Muvawala, Steven J Greybush, Pamela K Mbabazi and 3 more

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

13 authors.

Paddy SsentongoDivision of Infectious Diseases and Epidemiology, Department of Medicine, Penn State Hershey Medical Center, Hershey, Pennsylvania.
Claudio FronterreCentre for Health Informatics, Computing and Statistics, Lancaster University, Lancaster, United Kingdom.
Jessica E EricsonDepartment of Pediatrics, Penn State Hershey Medical Center, Hershey, Pennsylvania.
Ming WangDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio.
Laila Al-ShaarDepartment of Public Health Sciences, The Pennsylvania State University College of Medicine, Hershey.
Helen GreatrexDepartment of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park.
Philip O OmadiNational Planning Authority, Kampala, Uganda.
Joseph MuvawalaNational Planning Authority, Kampala, Uganda.
Steven J GreybushDepartment of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park.
Pamela K MbabaziNational Planning Authority, Kampala, Uganda.
Laura E Murray-KolbDepartment of Nutrition Science, College of Health and Human Sciences, Purdue University, West Lafayette, Indiana.
Abraham J B MuwanguziNational Planning Authority, Kampala, Uganda.
Steven J SchiffDepartment of Neurosurgery, Yale University, New Haven, Connecticut.

Funding

Predictive Personalized Public Health (P3H): A Novel Paradigm to Treat Infectious DiseaseR01AI145057 · NIAID · YALE UNIVERSITY · PI SCHIFF, STEVEN J · 2018 to 2022
$8.1M
NIAID NIH HHS R01 AI145057
6 · The paper itself

Abstract

Importance: Children with growth faltering are more susceptible to infections and may experience cognitive, physical, and metabolic developmental impairments. Objective: To assess whether prenatal and preconception meteorological and environmental factors are associated with village-level rates of childhood growth outcomes in Uganda. Design, Setting, and Participants: This cross-sectional study used data collected between June 20, 2015, and December 16, 2016, from the 2016 Ugandan Demographic and Health Survey for individuals aged 0 to 59 months with available anthropometric measures (weight and length or height). Data analysis was conducted from October 2020 to April 2024. Exposures: Factors assessed included meteorological information, such as drought index (Standardized Precipitation-Evapotranspiration Index [SPEI]), Aridity Index, rainfall, temperature, and vegetation indices; demographic and economic development factors (nighttime light emissions, driving time to the nearest city); and land topography (slope angle, elevation above sea level). Main Outcomes and Measures: The main outcomes were height-for-age z score (HAZ), weight-for-age z score (WAZ), and weight-for-height z score (WHZ). Spatial resolution estimates, at 1 km × 1 km of childhood growth faltering indicators, were created. Results: Of the 5219 individuals aged 0 to 59 months included in the analysis, 2633 (50%) were female; mean (SD) age was 29 (17) months. Of these individuals, 30.22% (95% CI, 29.36%-30.98%) had stunting, 12.23% (95% CI, 11.55%-12.91%) had underweight, and 3.63% (95% CI, 3.46%-3.80%) had wasting. Large disparities in the burden of childhood growth faltering existed within Uganda at smaller and larger spatial scales; villages in the northeastern and southwestern areas of the country had the highest prevalence of all forms of growth faltering (stunting, >40%; underweight, >16%; and wasting, >6%). Higher SPEI at 3 months before birth was positively associated with all childhood growth outcomes: HAZ (β, 0.06; 95% CI, 0.02-0.10), WAZ (β, 0.04; 95% CI, 0.01-0.07), and WHZ (β, 0.03; 95% CI, 0.001-0.06). Higher location mean rainfall 11 months before birth was also positively associated with HAZ (β, 0.06; 95% CI, 0.01-0.10). Aridity Index associations with WAZ (β, 0.09; 95% CI, 0.04-0.13) and WHZ (β, 0.09; 95% CI, 0.02-0.16) were consistent with findings for SPEI. Conclusions and Relevance: In this study of 5219 individuals 0 to 59 months of age in Uganda, rainfall and long-term availability of water at preconception and during gestation were positively associated with nutritional child growth outcomes. Understanding the relative contributions of meteorological environment factors on the spatial distribution of undernutrition at various spatial scales within Uganda (from the village to the district level) may help in the design of more cost-effective delivery of precision public health programs.

Indexed as

Growth DisordersBody HeightChild, PreschoolCross-Sectional StudiesFemaleHumansInfantInfant, NewbornMalePregnancyUganda

Identifiers

PMID40105840
PMCPMC11923699

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Registered trials

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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.