Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories : a pooled analysis of 2181 population-based studies with 65 million participants
Summary Background Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-a...
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ftskoevdehoeg:oai:DiVA.org:his-19236 2023-05-15T16:53:00+02:00 Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories : a pooled analysis of 2181 population-based studies with 65 million participants NCD Risk Factor Collaboration (NCD-RisC) 2020 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-19236 https://doi.org/10.1016/S0140-6736(20)31859-6 eng eng The Lancet, 0140-6736, 2020, 396:10261, s. 1511-1524 http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-19236 doi:10.1016/S0140-6736(20)31859-6 PMID 33160572 ISI:000587548800040 Scopus 2-s2.0-85095409894 info:eu-repo/semantics/openAccess Pediatrics Pediatrik Public Health Global Health Social Medicine and Epidemiology Folkhälsovetenskap global hälsa socialmedicin och epidemiologi Article in journal info:eu-repo/semantics/article text 2020 ftskoevdehoeg https://doi.org/10.1016/S0140-6736(20)31859-6 2022-10-25T20:52:44Z Summary Background Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents. Methods For this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5–19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence. Findings We pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9–10 kg/m2. In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their ... Article in Journal/Newspaper Iceland University of Skövde: Publications (DiVA) Pacific New Zealand The Lancet 396 10261 1511 1524 |
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Open Polar |
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University of Skövde: Publications (DiVA) |
op_collection_id |
ftskoevdehoeg |
language |
English |
topic |
Pediatrics Pediatrik Public Health Global Health Social Medicine and Epidemiology Folkhälsovetenskap global hälsa socialmedicin och epidemiologi |
spellingShingle |
Pediatrics Pediatrik Public Health Global Health Social Medicine and Epidemiology Folkhälsovetenskap global hälsa socialmedicin och epidemiologi NCD Risk Factor Collaboration (NCD-RisC) Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories : a pooled analysis of 2181 population-based studies with 65 million participants |
topic_facet |
Pediatrics Pediatrik Public Health Global Health Social Medicine and Epidemiology Folkhälsovetenskap global hälsa socialmedicin och epidemiologi |
description |
Summary Background Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents. Methods For this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5–19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence. Findings We pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9–10 kg/m2. In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their ... |
format |
Article in Journal/Newspaper |
author |
NCD Risk Factor Collaboration (NCD-RisC) |
author_facet |
NCD Risk Factor Collaboration (NCD-RisC) |
author_sort |
NCD Risk Factor Collaboration (NCD-RisC) |
title |
Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories : a pooled analysis of 2181 population-based studies with 65 million participants |
title_short |
Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories : a pooled analysis of 2181 population-based studies with 65 million participants |
title_full |
Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories : a pooled analysis of 2181 population-based studies with 65 million participants |
title_fullStr |
Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories : a pooled analysis of 2181 population-based studies with 65 million participants |
title_full_unstemmed |
Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories : a pooled analysis of 2181 population-based studies with 65 million participants |
title_sort |
height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories : a pooled analysis of 2181 population-based studies with 65 million participants |
publishDate |
2020 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-19236 https://doi.org/10.1016/S0140-6736(20)31859-6 |
geographic |
Pacific New Zealand |
geographic_facet |
Pacific New Zealand |
genre |
Iceland |
genre_facet |
Iceland |
op_relation |
The Lancet, 0140-6736, 2020, 396:10261, s. 1511-1524 http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-19236 doi:10.1016/S0140-6736(20)31859-6 PMID 33160572 ISI:000587548800040 Scopus 2-s2.0-85095409894 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1016/S0140-6736(20)31859-6 |
container_title |
The Lancet |
container_volume |
396 |
container_issue |
10261 |
container_start_page |
1511 |
op_container_end_page |
1524 |
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1766043509267103744 |