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NYC FITNESSGRAM: Population-Level Physical Fitness Surveillance for New York City Youth

NYC FITNESSGRAM, monitored by the New York City (NYC) Department of Education and the NYC Department of Health and Mental Hygiene, functions as the NYC Department of Education’s citywide youth fitness surveillance program. Here we present the methods, characteristics, and data used in this surveilla...

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Autores principales: Day, Sophia E, Konty, Kevin J, Napier, Melanie D, Irvin, Erica, Thompson, Hannah R, D’Agostino, Emily M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10470483/
https://www.ncbi.nlm.nih.gov/pubmed/36446589
http://dx.doi.org/10.1093/aje/kwac204
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author Day, Sophia E
Konty, Kevin J
Napier, Melanie D
Irvin, Erica
Thompson, Hannah R
D’Agostino, Emily M
author_facet Day, Sophia E
Konty, Kevin J
Napier, Melanie D
Irvin, Erica
Thompson, Hannah R
D’Agostino, Emily M
author_sort Day, Sophia E
collection PubMed
description NYC FITNESSGRAM, monitored by the New York City (NYC) Department of Education and the NYC Department of Health and Mental Hygiene, functions as the NYC Department of Education’s citywide youth fitness surveillance program. Here we present the methods, characteristics, and data used in this surveillance system to monitor physical fitness in public school students (grades kindergarten through 12; initiated in 2006; n = 6,748,265 observations; mean sample of 519,097 observations per year to date) in New York, New York. Youth physical fitness prevalence estimates, longitudinal trends, and spatial analyses may be investigated using continuous fitness composite percentile scores and Cooper Institute for Aerobic Research–defined sex- and age-specific Healthy Fitness Zones. Healthy Fitness Zones are based on individual-child fitness test performance, with standard errors clustered at the school and student levels and adjusted for sociodemographic characteristics. Results may be used to show trends in youth fitness attainment over time and highlight disparities in the fitness prevalence of NYC students. In sum, continuous fitness composite percentile scores offer the opportunity for prospective tracking of shifts in youth physical fitness on a population scale and across subpopulations. NYC FITNESSGRAM can accompany a growing body of surveillance tools demonstrating the potential for population-level surveillance tools to promote global public health.
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spelling pubmed-104704832023-09-01 NYC FITNESSGRAM: Population-Level Physical Fitness Surveillance for New York City Youth Day, Sophia E Konty, Kevin J Napier, Melanie D Irvin, Erica Thompson, Hannah R D’Agostino, Emily M Am J Epidemiol Study Design NYC FITNESSGRAM, monitored by the New York City (NYC) Department of Education and the NYC Department of Health and Mental Hygiene, functions as the NYC Department of Education’s citywide youth fitness surveillance program. Here we present the methods, characteristics, and data used in this surveillance system to monitor physical fitness in public school students (grades kindergarten through 12; initiated in 2006; n = 6,748,265 observations; mean sample of 519,097 observations per year to date) in New York, New York. Youth physical fitness prevalence estimates, longitudinal trends, and spatial analyses may be investigated using continuous fitness composite percentile scores and Cooper Institute for Aerobic Research–defined sex- and age-specific Healthy Fitness Zones. Healthy Fitness Zones are based on individual-child fitness test performance, with standard errors clustered at the school and student levels and adjusted for sociodemographic characteristics. Results may be used to show trends in youth fitness attainment over time and highlight disparities in the fitness prevalence of NYC students. In sum, continuous fitness composite percentile scores offer the opportunity for prospective tracking of shifts in youth physical fitness on a population scale and across subpopulations. NYC FITNESSGRAM can accompany a growing body of surveillance tools demonstrating the potential for population-level surveillance tools to promote global public health. Oxford University Press 2022-11-29 /pmc/articles/PMC10470483/ /pubmed/36446589 http://dx.doi.org/10.1093/aje/kwac204 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journalpermissions@oup.com. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Study Design
Day, Sophia E
Konty, Kevin J
Napier, Melanie D
Irvin, Erica
Thompson, Hannah R
D’Agostino, Emily M
NYC FITNESSGRAM: Population-Level Physical Fitness Surveillance for New York City Youth
title NYC FITNESSGRAM: Population-Level Physical Fitness Surveillance for New York City Youth
title_full NYC FITNESSGRAM: Population-Level Physical Fitness Surveillance for New York City Youth
title_fullStr NYC FITNESSGRAM: Population-Level Physical Fitness Surveillance for New York City Youth
title_full_unstemmed NYC FITNESSGRAM: Population-Level Physical Fitness Surveillance for New York City Youth
title_short NYC FITNESSGRAM: Population-Level Physical Fitness Surveillance for New York City Youth
title_sort nyc fitnessgram: population-level physical fitness surveillance for new york city youth
topic Study Design
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10470483/
https://www.ncbi.nlm.nih.gov/pubmed/36446589
http://dx.doi.org/10.1093/aje/kwac204
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