Evidence map›Paper›PMID 30995260›Full record

Trial reportPloS one2019

Differences in Tsimane children's growth outcomes and associated determinants as estimated by WHO standards vs. within-population references.

Melanie Martin, Aaron Blackwell, Hillard Kaplan, Michael Gurven

Open access · goldAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in PloS one, 2019. 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
1.7field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. What is normal, healthy growth? Global health, human biology, and parental perspectives.American journal of human biology : the official journal of the Human Biology Council · 2021
    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

4 authors at 2 institutions in 1 country.

Melanie MartinDepartment of Anthropology, University of California Santa Barbara, Santa Barbara, CA, United States of America.ORCID 0000-0003-0368-2791
Aaron BlackwellDepartment of Anthropology, University of California Santa Barbara, Santa Barbara, CA, United States of America.ORCID 0000-0002-5871-9865
Hillard KaplanDepartment of Anthropology, University of New Mexico, Albuquerque, NM, United States of America.
Michael GurvenDepartment of Anthropology, University of California Santa Barbara, Santa Barbara, CA, United States of America.
University of California, Santa Barbara · USUniversity of New Mexico · US

Funding

THE MATHEMATICAL DEMOGRAPHY OF BIODEMOGRAPHYP01AG022500 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI CAREY, JAMES R. · 2003 to 2010
$8.1M
The Human Life Course and the Biodemography of AgingR01AG024119 · NIA · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI GURVEN, MICHAEL DOUGLAS, KAPLAN, HILLARD S · 2004 to 2015
$7.4M
The Human Life Course and the Biodemography of AgingR56AG024119 · NIA · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI GURVEN, MICHAEL DOUGLAS, KAPLAN, HILLARD S · 2009 to 2015
$1.0M
NIA NIH HHS P01 AG022500NIA NIH HHS R01 AG024119NIA NIH HHS R56 AG024119
6 · The paper itself

Abstract

Anthropometric measures are commonly converted to age stratified z-scores to examine variation in growth outcomes in mixed-age and sex samples. For many study populations, z-scores will differ if calculated from World Health Organization (WHO) growth standards or within-population references. The specific growth reference used may influence statistical estimates of growth outcomes and their determinants, with implications for biological inference. We examined factors associated with growth outcomes in a sample of 152 Tsimane children aged 0-36 months. The Tsimane are a subsistence-scale population in the Bolivian Amazon with high rates of infectious disease and growth faltering. To examine the influence of growth reference on statistical inferences, we constructed multiple plausible models from available infant, maternal, and household attributes. We then ran identical models for height-for-age (HAZ), weight-for-age (WAZ), and weight-for-height (WHZ), with z-scores alternately calculated from WHO and robust Tsimane Lambda-Mu-Sigma growth curves. The distribution of WHO relative to Tsimane HAZ scores was negatively skewed, reflecting age-related increases in lower HAZ. Standardized coefficients and significance levels generally agreed across WHO and Tsimane models, although the strength and significance of specific terms varied in some models. Age was strongly, negatively associated with HAZ and WAZ in nearly all WHO, but not Tsimane models, resulting in consistently higher R2 estimates. Age and weaning effects were confounded in WHO models. Biased estimates of determinants associated with WHO HAZ may be more extreme in small samples and for variables that are strongly age-patterned. Additional methodological considerations may be warranted when applying WHO standards to within-population studies, particularly for populations with growth patterns known to systematically deviate from those of the WHO reference sample.

Indexed as

Body HeightBody WeightChild DevelopmentGrowth DisordersModels, BiologicalAdolescentAdultBoliviaChildFemaleFollow-Up StudiesHumansInfantInfant, NewbornLongitudinal StudiesMale

Identifiers

PMID30995260
PMCPMC6469771
OpenAlexW2935922406

What OpenQuestion holds

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LicenceCC BY
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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.