Evidence map›Paper›PMID 36511229›Full record

ArticleJournal of research in health sciences2021

Nonlinear Physical Growth of Children from Infancy to Middle Adolescence in Low- and Middle-Income Countries.

Senahara Korsa Wake, Temesgen Zewotir, Essey Kebede Muluneh

Abstract read
In one paragraph

Article in Journal of research in health sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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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

8 citing papers in PubMed.

  1. Article
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  7. Analysis of heterogeneous growth changes in longitudinal height of children.Journal of health, population, and nutrition · 2023
    Article
  8. Longitudinal trends and determinants of stunting among children aged 1-15 years.Archives of public health = Archives belges de sante publique · 2023
    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

3 authors.

Senahara Korsa WakeDepartment of Statistics, College of Sciences, Bahir Dar University, Bahir Dar, Ethiopia. senahara2004@gmail.com.
Temesgen ZewotirSchool of Mathematics, Statistics and Computer Sciences, University of KwaZulu-Natal, Durban, South Africa.
Essey Kebede MulunehSchool of Public Health, Bahir Dar University, Bahir Dar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe growth curve has a significant role in understanding the growth trajectories over time and examining the mathematical relationship between the outcome variable and time. STUDY

designA longitudinal prospective cohort study.

methodsThis study aimed to identify a nonlinear growth curve that best represents the growth trajectories in children's physical growth from ages 1 to 15 years. The data were obtained from the Young Lives study conducted in Ethiopia, India, Peru, and Vietnam. Nonlinear growth curves were studied through the families of three-parameter nonlinear mixed-effects models.

resultsThe study examined the performances of different three-parameter nonlinear growth curves for the growth trajectory analysis, and the Logistic curve was chosen for the trajectory analysis. Gender and country differences had significant effects on the child's growth. Females reached asymptotic height earlier and shorter than males. The mean height values at the end of the growth stage for children in Ethiopia, India, Peru, and Vietnam were 171.78, 170.37, 171.30, 174.31cm, respectively. Children in Ethiopia approached adult height earlier than those in India but later than children in Peru. However, no significant growth change was observed between children in Ethiopia and Vietnam. This indicates that children in Ethiopia and Vietnam have no significant differences regarding approaching adult height.

conclusionThe study concludes that the Logistic curve was found to be the best growth curve to describe the growth trajectories. Children in all four countries exhibited different growth parameters.

Indexed as

Child DevelopmentDeveloping CountriesAdolescentAdultChildChild, PreschoolEthiopiaFemaleHumansIndiaInfantMalePeruProspective StudiesGrowth curvesLongitudinal dataMixed-effect modelPhysical growth

Identifiers

PMID36511229
PMCPMC8957670

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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.