Observational studyBMC pediatrics2017
Characterizing early child growth patterns of height-for-age in an urban slum cohort of Bangladesh with functional principal component analysis.
Observational study in BMC pediatrics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02734264 (Field Studies of Human Immunity to Amebiasis in Bangladesh), which is not on this map. Cited by 11 papers.
What it found
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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.
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.
Field Studies of Human Immunity to Amebiasis in Bangladesh: A Prospective Study of Children Ages 0-17 Years
Who cites it
11 citing papers in PubMed, 20 citations in OpenAlex.
- Growth dynamics of Indian infants using latent trajectory models in pooled survey datasets.Frontiers in public health · 2024Article
- Early childhood growth in Daasanach pastoralists of Northern Kenya: Distinct patterns of faltering in linear growth and weight gain.American journal of human biology : the official journal of the Human Biology Council · 2023Article
- Article
- Influence of intrauterine factors on birth weight and on child linear growth in rural Ethiopia: A prospective cohort study.PloS one · 2022Article
- Mucosal Genomics Implicate Lymphocyte Activation and Lipid Metabolism in Refractory Environmental Enteric Dysfunction.Gastroenterology · 2021Article
- Group penalized generalized estimating equation for correlated event-related potentials and biomarker selection.BMC medical research methodology · 2020Article
- Trajectory of vitamin D, micronutrient status and childhood growth in exclusively breastfed children.Scientific reports · 2019Article
- Chest circumference in full-term newborns: how can it be predicted?BMC pediatrics · 2019Observational
- Heterogeneity in childhood body mass trajectories in relation to prenatal phthalate exposure.Environmental research · 2019Article
- Scalar-on-function regression for predicting distal outcomes from intensively gathered longitudinal data: Interpretability for applied scientists.Statistics surveys · 2019Article
- Assessing the Impact of Health Education on Physical Measurements of Children in Bangladesh: A Non-Randomized Controlled Trial.Inquiry : a journal of medical care organization, provision and financingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundEarly childhood is a critical stage of physical and cognitive growth that forms the foundation of future wellbeing. Stunted growth is presented in one of every 4 children worldwide and contributes to developmental impairment and under-five mortality. Better understanding of early growth patterns should allow for early detection and intervention in malnutrition. We aimed to characterize early child growth patterns and quantify the change of growth curves from the World Health Organization (WHO) Child Growth Standards.
methodsIn a cohort of 626 Bangladesh children, longitudinal height-for-age z-scores (HAZ) were modelled over the first 24 months of life using functional principal component analysis (FPCA). Deviation of individual growth from the WHO standards was quantified based on the leading functional principal components (FPCs), and growth faltering was detected as it occurred. The risk factors associated with growth faltering were identified in a linear regression.
resultsNinety-eight percent of temporal variation in growth trajectories over the first 24 months of life was captured by two leading FPCs (FPC1 for overall growth and FPC2 for change in growth trajectory). A derived index, adj-FPC2, quantified the change in growth trajectory (i.e., growth faltering) relative to the WHO standards. In addition to HAZ at birth, significant risk factors associated with growth faltering in boys included duration of breastfeeding, family size and income and in girls maternal weight and water source.
conclusionsThe underlying growth patterns of HAZ in the first 2 years of life were delineated with FPCA, and the deviations from the WHO standards were quantified from the two leading FPCs. The adj-FPC2 score provided a meaningful measure of growth faltering in the first 2 years of life, which enabled us to identify the risk factors associated with poor growth that would have otherwise been missed. Understanding faltering patterns and associated risk factors are important in the development of effective intervention strategies to improve childhood growth globally.
trial registrationClinicalTrials.gov Identifier: NCT02734264 , registered 22 March, 2016.
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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.