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Growth Charts for Tribal, School-Going Children in Jharkhand Using Anthropometry and Lambda-Mu-Sigma Methods to Create Growth Charts

BACKGROUND: This study intends to find the growth patterns of selected school children. Globally accepted statistical methods were used to evaluate the data and prepare a growth chart. METHODS: This cross-sectional study was conducted with school-going children from 16 selected schools of a tribal d...

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Autores principales: Kumar, Dewesh, Rishabh Kumar, Rana, Kujur, Anit, Kumar, Chandramani, Sunderam, Shalini, Kashyap, Vivek, Kumar Singh, Haribansh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Penerbit Universiti Sains Malaysia 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7444840/
https://www.ncbi.nlm.nih.gov/pubmed/32863750
http://dx.doi.org/10.21315/mjms2020.27.4.10
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author Kumar, Dewesh
Rishabh Kumar, Rana
Kujur, Anit
Kumar, Chandramani
Sunderam, Shalini
Kashyap, Vivek
Kumar Singh, Haribansh
author_facet Kumar, Dewesh
Rishabh Kumar, Rana
Kujur, Anit
Kumar, Chandramani
Sunderam, Shalini
Kashyap, Vivek
Kumar Singh, Haribansh
author_sort Kumar, Dewesh
collection PubMed
description BACKGROUND: This study intends to find the growth patterns of selected school children. Globally accepted statistical methods were used to evaluate the data and prepare a growth chart. METHODS: This cross-sectional study was conducted with school-going children from 16 selected schools of a tribal district in Jharkhand using multistage cluster random sampling. In each selected school, 60 students, 30 boys and 30 girls, were chosen randomly, totaling 960 children (full data was for 935 children only). Growth charts were created using Lambda-Mu-Sigma (LMS) chart maker version 2.5 for height, weight and body mass index (BMI). In the charts, the LMS values with Z scores for each age and respective height and weight for boys and girls were recorded. RESULTS: The 468 boys and 467 girls were in the range of 6–14 years of age. Percentile values obtained for the measured heights in centimetres were evaluated and compared with Indian Academy of Pediatrics reference charts for boys and girls for the same age group, and our values were found to be on the lower side. We were able to plot a growth chart of the data set; as the tribal children’s ethnicity is different, this growth chart might be used to assess nutritional status. CONCLUSION: We concluded that growth curves for height, weight, and BMI may be used for evaluating children of age 6–14 years in the tribal population. The measures can be a good indicator of their nourishment status and overall growth patterns, which might be indigenous to their ethnicity. A larger sample size of similar tribal populations may give a clearer picture.
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spelling pubmed-74448402020-08-27 Growth Charts for Tribal, School-Going Children in Jharkhand Using Anthropometry and Lambda-Mu-Sigma Methods to Create Growth Charts Kumar, Dewesh Rishabh Kumar, Rana Kujur, Anit Kumar, Chandramani Sunderam, Shalini Kashyap, Vivek Kumar Singh, Haribansh Malays J Med Sci Original Article BACKGROUND: This study intends to find the growth patterns of selected school children. Globally accepted statistical methods were used to evaluate the data and prepare a growth chart. METHODS: This cross-sectional study was conducted with school-going children from 16 selected schools of a tribal district in Jharkhand using multistage cluster random sampling. In each selected school, 60 students, 30 boys and 30 girls, were chosen randomly, totaling 960 children (full data was for 935 children only). Growth charts were created using Lambda-Mu-Sigma (LMS) chart maker version 2.5 for height, weight and body mass index (BMI). In the charts, the LMS values with Z scores for each age and respective height and weight for boys and girls were recorded. RESULTS: The 468 boys and 467 girls were in the range of 6–14 years of age. Percentile values obtained for the measured heights in centimetres were evaluated and compared with Indian Academy of Pediatrics reference charts for boys and girls for the same age group, and our values were found to be on the lower side. We were able to plot a growth chart of the data set; as the tribal children’s ethnicity is different, this growth chart might be used to assess nutritional status. CONCLUSION: We concluded that growth curves for height, weight, and BMI may be used for evaluating children of age 6–14 years in the tribal population. The measures can be a good indicator of their nourishment status and overall growth patterns, which might be indigenous to their ethnicity. A larger sample size of similar tribal populations may give a clearer picture. Penerbit Universiti Sains Malaysia 2020-07 2020-08-19 /pmc/articles/PMC7444840/ /pubmed/32863750 http://dx.doi.org/10.21315/mjms2020.27.4.10 Text en © Penerbit Universiti Sains Malaysia, 2020 This work is licensed under the terms of the Creative Commons Attribution (CC BY) (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Original Article
Kumar, Dewesh
Rishabh Kumar, Rana
Kujur, Anit
Kumar, Chandramani
Sunderam, Shalini
Kashyap, Vivek
Kumar Singh, Haribansh
Growth Charts for Tribal, School-Going Children in Jharkhand Using Anthropometry and Lambda-Mu-Sigma Methods to Create Growth Charts
title Growth Charts for Tribal, School-Going Children in Jharkhand Using Anthropometry and Lambda-Mu-Sigma Methods to Create Growth Charts
title_full Growth Charts for Tribal, School-Going Children in Jharkhand Using Anthropometry and Lambda-Mu-Sigma Methods to Create Growth Charts
title_fullStr Growth Charts for Tribal, School-Going Children in Jharkhand Using Anthropometry and Lambda-Mu-Sigma Methods to Create Growth Charts
title_full_unstemmed Growth Charts for Tribal, School-Going Children in Jharkhand Using Anthropometry and Lambda-Mu-Sigma Methods to Create Growth Charts
title_short Growth Charts for Tribal, School-Going Children in Jharkhand Using Anthropometry and Lambda-Mu-Sigma Methods to Create Growth Charts
title_sort growth charts for tribal, school-going children in jharkhand using anthropometry and lambda-mu-sigma methods to create growth charts
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7444840/
https://www.ncbi.nlm.nih.gov/pubmed/32863750
http://dx.doi.org/10.21315/mjms2020.27.4.10
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