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

dc.contributor
[Plans-Rubió P] Agència de Salut Pública de Catalunya, Departament de Salut, Generalitat de Catalunya, Barcelona, Spain
dc.contributor
Departament de Salut
dc.contributor.author
NCD Risk Factor Collaboration (NCD-RisC)
dc.contributor.author
Plans-Rubió, Pedro
dc.date.accessioned
2025-10-24T10:56:48Z
dc.date.available
2025-10-24T10:56:48Z
dc.date.issued
2024-05-06T12:27:09Z
dc.date.issued
2024-05-06T12:27:09Z
dc.date.issued
2020-11-07
dc.identifier
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. Lancet. 2020 Nov 7;396(10261):1511-1524.
dc.identifier
1474-547X
dc.identifier
https://hdl.handle.net/11351/11417
dc.identifier
https://doi.org/10.1016/S0140-6736(20)31859-6
dc.identifier
33160572
dc.identifier.uri
http://hdl.handle.net/11351/11417
dc.description.abstract
Body Mass Index; Adolescents; Children
dc.description.abstract
Índex de massa corporal; Adolescents; Nens
dc.description.abstract
Índice de masa corporal; Adolescentes; Niños
dc.description.abstract
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 comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, they had a much larger gain in height than they did in BMI. The unhealthiest changes—gaining too little height, too much weight for their height compared with children in other countries, or both—occurred in many countries in subSaharan Africa, New Zealand, and the USA for boys and girls; in Malaysia and some Pacific island nations for boys; and in Mexico for girls. Interpretation The height and BMI trajectories over age and time of school-aged children and adolescents are highly variable across countries, which indicates heterogeneous nutritional quality and lifelong health advantages and risks.
dc.description.abstract
Wellcome Trust, AstraZeneca Young Health Programme, EU.
dc.format
application/pdf
dc.language
eng
dc.publisher
Elsevier
dc.relation
The Lancet;396(10261)
dc.relation
https://doi.org/10.1016/S0140-6736(20)31859-6
dc.rights
Attribution 4.0 International
dc.rights
http://creativecommons.org/licenses/by/4.0/
dc.rights
info:eu-repo/semantics/openAccess
dc.source
Scientia
dc.subject
Pes corporal
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Adolescents
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Infants
dc.subject
PUBLIC HEALTH::Nutrition, Public Health::Nutritional Status::Nutrition Assessment::Anthropometry::Body Mass Index
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NAMED GROUPS::Persons::Age Groups::Adolescent
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NAMED GROUPS::Persons::Age Groups::Child
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HEALTH CARE::Population Characteristics::Health::Population Health
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SALUD PÚBLICA::nutrición en salud pública::estado nutricional::evaluación nutricional::antropometría::índice de masa corporal
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DENOMINACIONES DE GRUPOS::personas::Grupos de Edad::adolescente
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DENOMINACIONES DE GRUPOS::personas::Grupos de Edad::niño
dc.subject
ATENCIÓN DE SALUD::Características de la Población::salud::salud poblacional
dc.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
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion


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