School children growth monitoring program in the state of Qatar: Observations from two survey rounds in 2016–17 and 2019–20

Abstract Introduction Growth monitoring surveys provide critical anthropometric data to monitor physical growth and various forms of malnutrition among school age children. In the beginning, growth monitoring programs were introduced to identify the extent of undernutrition among children, which wer...

Full description

Bibliographic Details
Main Authors: Mohammed H. Al‐Thani, Salah A. Alyafei, Kholoud A. Al‐Mutawa, Shamseldin A. H. Khalifa, Amit Mishra, Benjamin V. Poovelil, Azza A. Abdellatif, Amine A. Toumi, Suresh B. Kokku
Format: Article
Language:English
Published: Wiley 2023-03-01
Series:Public Health Challenges
Subjects:
Online Access:https://doi.org/10.1002/puh2.52
_version_ 1797853384112340992
author Mohammed H. Al‐Thani
Salah A. Alyafei
Kholoud A. Al‐Mutawa
Shamseldin A. H. Khalifa
Amit Mishra
Benjamin V. Poovelil
Azza A. Abdellatif
Amine A. Toumi
Suresh B. Kokku
author_facet Mohammed H. Al‐Thani
Salah A. Alyafei
Kholoud A. Al‐Mutawa
Shamseldin A. H. Khalifa
Amit Mishra
Benjamin V. Poovelil
Azza A. Abdellatif
Amine A. Toumi
Suresh B. Kokku
author_sort Mohammed H. Al‐Thani
collection DOAJ
description Abstract Introduction Growth monitoring surveys provide critical anthropometric data to monitor physical growth and various forms of malnutrition among school age children. In the beginning, growth monitoring programs were introduced to identify the extent of undernutrition among children, which were later considered equally useful in the identification of overweight and obesity among school age children. Observing the shifts in weight categories among school age children provides an important insight to design targeted interventions for improving growth and development of children. Methodology The study used growth monitoring survey data among 5–19‐year school children of two academic years (2016–17 and 2019–20) in Qatar where 2016–17 survey included 186,986 students, whereas 2019–20 survey included 215,279 students. A total of 7514 unique records of students aged 5–14 years available in both survey rounds were included in the final analysis. This study documented shift in BMI‐z‐scores to ascertain the movement of students among obese, overweight, normal, thinness, and severe thinness categories. Python version 3.9.5 was used for data analysis along with a pairwise comparison between each of BMI‐z‐score shift to evaluate the effects of specific shifts in BMI‐z‐score category. Results Overall, the proportion of overweight and obese category of students increased from 44% in 2016–17 to 49.3% in 2019–20 with a decrease in the proportion of students in normal BMI‐z‐score category (from 48.8% to 47.8%) and severe thinness and thinness category (from 7.3% to 3%) between two rounds of growth monitoring survey. Statistically significant shifts in BMI‐z‐score categories were noted for students of different age groups, gender, and nationality. Conclusions Shift from normal BMI‐z‐score to obese and overweight category is a cause of concern and an opportunity to develop appropriate interventions. The significant shift among different categories needs to be investigated further to identify associated reasons to effectively develop interventions.
first_indexed 2024-04-09T19:49:47Z
format Article
id doaj.art-698e7ecf4ca741ecada366fba31f3059
institution Directory Open Access Journal
issn 2769-2450
language English
last_indexed 2024-04-09T19:49:47Z
publishDate 2023-03-01
publisher Wiley
record_format Article
series Public Health Challenges
spelling doaj.art-698e7ecf4ca741ecada366fba31f30592023-04-03T10:35:19ZengWileyPublic Health Challenges2769-24502023-03-0121n/an/a10.1002/puh2.52School children growth monitoring program in the state of Qatar: Observations from two survey rounds in 2016–17 and 2019–20Mohammed H. Al‐Thani0Salah A. Alyafei1Kholoud A. Al‐Mutawa2Shamseldin A. H. Khalifa3Amit Mishra4Benjamin V. Poovelil5Azza A. Abdellatif6Amine A. Toumi7Suresh B. Kokku8Public Health Department Ministry of Public Health Doha QatarPublic Health Department Ministry of Public Health Doha QatarPublic Health Department Ministry of Public Health Doha QatarPublic Health Department Ministry of Public Health Doha QatarPublic Health Department Ministry of Public Health Doha QatarPublic Health Department Ministry of Public Health Doha QatarPublic Health Department Ministry of Public Health Doha QatarPublic Health Department Ministry of Public Health Doha QatarPublic Health Department Ministry of Public Health Doha QatarAbstract Introduction Growth monitoring surveys provide critical anthropometric data to monitor physical growth and various forms of malnutrition among school age children. In the beginning, growth monitoring programs were introduced to identify the extent of undernutrition among children, which were later considered equally useful in the identification of overweight and obesity among school age children. Observing the shifts in weight categories among school age children provides an important insight to design targeted interventions for improving growth and development of children. Methodology The study used growth monitoring survey data among 5–19‐year school children of two academic years (2016–17 and 2019–20) in Qatar where 2016–17 survey included 186,986 students, whereas 2019–20 survey included 215,279 students. A total of 7514 unique records of students aged 5–14 years available in both survey rounds were included in the final analysis. This study documented shift in BMI‐z‐scores to ascertain the movement of students among obese, overweight, normal, thinness, and severe thinness categories. Python version 3.9.5 was used for data analysis along with a pairwise comparison between each of BMI‐z‐score shift to evaluate the effects of specific shifts in BMI‐z‐score category. Results Overall, the proportion of overweight and obese category of students increased from 44% in 2016–17 to 49.3% in 2019–20 with a decrease in the proportion of students in normal BMI‐z‐score category (from 48.8% to 47.8%) and severe thinness and thinness category (from 7.3% to 3%) between two rounds of growth monitoring survey. Statistically significant shifts in BMI‐z‐score categories were noted for students of different age groups, gender, and nationality. Conclusions Shift from normal BMI‐z‐score to obese and overweight category is a cause of concern and an opportunity to develop appropriate interventions. The significant shift among different categories needs to be investigated further to identify associated reasons to effectively develop interventions.https://doi.org/10.1002/puh2.52childrengrowth monitoringmalnutritionobesityoverweightthe state of Qatar
spellingShingle Mohammed H. Al‐Thani
Salah A. Alyafei
Kholoud A. Al‐Mutawa
Shamseldin A. H. Khalifa
Amit Mishra
Benjamin V. Poovelil
Azza A. Abdellatif
Amine A. Toumi
Suresh B. Kokku
School children growth monitoring program in the state of Qatar: Observations from two survey rounds in 2016–17 and 2019–20
Public Health Challenges
children
growth monitoring
malnutrition
obesity
overweight
the state of Qatar
title School children growth monitoring program in the state of Qatar: Observations from two survey rounds in 2016–17 and 2019–20
title_full School children growth monitoring program in the state of Qatar: Observations from two survey rounds in 2016–17 and 2019–20
title_fullStr School children growth monitoring program in the state of Qatar: Observations from two survey rounds in 2016–17 and 2019–20
title_full_unstemmed School children growth monitoring program in the state of Qatar: Observations from two survey rounds in 2016–17 and 2019–20
title_short School children growth monitoring program in the state of Qatar: Observations from two survey rounds in 2016–17 and 2019–20
title_sort school children growth monitoring program in the state of qatar observations from two survey rounds in 2016 17 and 2019 20
topic children
growth monitoring
malnutrition
obesity
overweight
the state of Qatar
url https://doi.org/10.1002/puh2.52
work_keys_str_mv AT mohammedhalthani schoolchildrengrowthmonitoringprograminthestateofqatarobservationsfromtwosurveyroundsin201617and201920
AT salahaalyafei schoolchildrengrowthmonitoringprograminthestateofqatarobservationsfromtwosurveyroundsin201617and201920
AT kholoudaalmutawa schoolchildrengrowthmonitoringprograminthestateofqatarobservationsfromtwosurveyroundsin201617and201920
AT shamseldinahkhalifa schoolchildrengrowthmonitoringprograminthestateofqatarobservationsfromtwosurveyroundsin201617and201920
AT amitmishra schoolchildrengrowthmonitoringprograminthestateofqatarobservationsfromtwosurveyroundsin201617and201920
AT benjaminvpoovelil schoolchildrengrowthmonitoringprograminthestateofqatarobservationsfromtwosurveyroundsin201617and201920
AT azzaaabdellatif schoolchildrengrowthmonitoringprograminthestateofqatarobservationsfromtwosurveyroundsin201617and201920
AT amineatoumi schoolchildrengrowthmonitoringprograminthestateofqatarobservationsfromtwosurveyroundsin201617and201920
AT sureshbkokku schoolchildrengrowthmonitoringprograminthestateofqatarobservationsfromtwosurveyroundsin201617and201920