Evidence map›Paper›PMID 37553690›Full record

ArticleJournal of health, population, and nutrition2023

Analysis of heterogeneous growth changes in longitudinal height of children.

Senahara Korsa Wake, Temesgen Zewotir, Essey Kebede Muluneh

Abstract read
In one paragraph

Article in Journal of health, population, and nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Senahara Korsa WakeCollege of Science, Bahir Dar University, Bahir Dar, Ethiopia. senahara2004@gmail.com.
Temesgen ZewotirSchool of Mathematics, Statistics and Computer Science, 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

backgroundThere have been methodologies developed for a wide range of longitudinal data types; nevertheless, the conventional growth study is restricted if individuals in the sample have heterogeneous growth trajectories across time. Using growth mixture modeling approaches, we aimed to investigate group-level heterogeneities in the growth trajectories of children aged 1 to 15 years.

methodThis longitudinal study examined group-level growth heterogeneities in a sample of 3401 males and 3200 females. Data were analyzed using growth mixture modeling approaches.

resultsWe examined different trajectories of growth change in children across four low- and middle-income countries using a data-driven growth mixture modeling technique. The study identified two-group trajectories: the most male samples group (n = 4260, 69.7%) and the most female samples group (n = 2341, 81.6%). The findings show that the two groups had different growth trajectories. Gender and country differences were shown to be related to growth factors; however, the association varied depending on the trajectory group. In both latent groups, females tended to have lower growth factors (initial height and rate of growth) than their male counterparts. Compared with children from Ethiopia, children from Peru and Vietnam tended to exhibit faster growth in height over time: In contrast, children from India showed a lower rate of change in both latent groups than that of children from Ethiopia.

conclusionsThe height of children in four low- and middle-income countries showed heterogeneous changes over time with two different groups of growth trajectories.

Indexed as

Child DevelopmentChildEthiopiaFemaleHumansIndiaLongitudinal StudiesMalePeruLatent basis modelLatent class growth modelLatent growth analysisMultiple-group growth modelObserved heterogeneityUnobserved heterogeneity

Identifiers

PMID37553690
PMCPMC10410835

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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.