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Factors associated with low fitness in adolescents – A mixed methods study

BACKGROUND: Fitness and physical activity are important for cardiovascular and mental health but activity and fitness levels are declining especially in adolescents and among girls. This study examines clustering of factors associated with low fitness in adolescents in order to best target public he...

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Autores principales: Charlton, Richard, Gravenor, Michael B, Rees, Anwen, Knox, Gareth, Hill, Rebecca, Rahman, Muhammad A, Jones, Kerina, Christian, Danielle, Baker, Julien S, Stratton, Gareth, Brophy, Sinead
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4132898/
https://www.ncbi.nlm.nih.gov/pubmed/25074589
http://dx.doi.org/10.1186/1471-2458-14-764
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author Charlton, Richard
Gravenor, Michael B
Rees, Anwen
Knox, Gareth
Hill, Rebecca
Rahman, Muhammad A
Jones, Kerina
Christian, Danielle
Baker, Julien S
Stratton, Gareth
Brophy, Sinead
author_facet Charlton, Richard
Gravenor, Michael B
Rees, Anwen
Knox, Gareth
Hill, Rebecca
Rahman, Muhammad A
Jones, Kerina
Christian, Danielle
Baker, Julien S
Stratton, Gareth
Brophy, Sinead
author_sort Charlton, Richard
collection PubMed
description BACKGROUND: Fitness and physical activity are important for cardiovascular and mental health but activity and fitness levels are declining especially in adolescents and among girls. This study examines clustering of factors associated with low fitness in adolescents in order to best target public health interventions for young people. METHODS: 1147 children were assessed for fitness, had blood samples, anthropometric measures and all data were linked with routine electronic data to examine educational achievement, deprivation and health service usage. Factors associated with fitness were examined using logistic regression, conditional trees and data mining cluster analysis. Focus groups were conducted with children in a deprived school to examine barriers and facilitators to activity for children in a deprived community. RESULTS: Unfit adolescents are more likely to be deprived, female, have obesity in the family and not achieve in education. There were 3 main clusters for risk of future heart disease/diabetes (high cholesterol/insulin); children at low risk (not obese, fit, achieving in education), children ‘visibly at risk’ (overweight, unfit, many hospital/GP visits) and ‘invisibly at risk’ (unfit but not overweight, failing in academic achievement). Qualitative findings show barriers to physical activity include cost, poor access to activity, lack of core physical literacy skills and limited family support. CONCLUSIONS: Low fitness in the non-obese child can reveal a hidden group who have high risk factors for heart disease and diabetes but may not be identified as they are normal weight. In deprived communities low fitness is associated with non-achievement in education but in non-deprived communities low fitness is associated with female gender. Interventions need to target deprived families and schools in deprived areas with community wide campaigns.
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spelling pubmed-41328982014-08-15 Factors associated with low fitness in adolescents – A mixed methods study Charlton, Richard Gravenor, Michael B Rees, Anwen Knox, Gareth Hill, Rebecca Rahman, Muhammad A Jones, Kerina Christian, Danielle Baker, Julien S Stratton, Gareth Brophy, Sinead BMC Public Health Research Article BACKGROUND: Fitness and physical activity are important for cardiovascular and mental health but activity and fitness levels are declining especially in adolescents and among girls. This study examines clustering of factors associated with low fitness in adolescents in order to best target public health interventions for young people. METHODS: 1147 children were assessed for fitness, had blood samples, anthropometric measures and all data were linked with routine electronic data to examine educational achievement, deprivation and health service usage. Factors associated with fitness were examined using logistic regression, conditional trees and data mining cluster analysis. Focus groups were conducted with children in a deprived school to examine barriers and facilitators to activity for children in a deprived community. RESULTS: Unfit adolescents are more likely to be deprived, female, have obesity in the family and not achieve in education. There were 3 main clusters for risk of future heart disease/diabetes (high cholesterol/insulin); children at low risk (not obese, fit, achieving in education), children ‘visibly at risk’ (overweight, unfit, many hospital/GP visits) and ‘invisibly at risk’ (unfit but not overweight, failing in academic achievement). Qualitative findings show barriers to physical activity include cost, poor access to activity, lack of core physical literacy skills and limited family support. CONCLUSIONS: Low fitness in the non-obese child can reveal a hidden group who have high risk factors for heart disease and diabetes but may not be identified as they are normal weight. In deprived communities low fitness is associated with non-achievement in education but in non-deprived communities low fitness is associated with female gender. Interventions need to target deprived families and schools in deprived areas with community wide campaigns. BioMed Central 2014-07-29 /pmc/articles/PMC4132898/ /pubmed/25074589 http://dx.doi.org/10.1186/1471-2458-14-764 Text en © Charlton et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Research Article
Charlton, Richard
Gravenor, Michael B
Rees, Anwen
Knox, Gareth
Hill, Rebecca
Rahman, Muhammad A
Jones, Kerina
Christian, Danielle
Baker, Julien S
Stratton, Gareth
Brophy, Sinead
Factors associated with low fitness in adolescents – A mixed methods study
title Factors associated with low fitness in adolescents – A mixed methods study
title_full Factors associated with low fitness in adolescents – A mixed methods study
title_fullStr Factors associated with low fitness in adolescents – A mixed methods study
title_full_unstemmed Factors associated with low fitness in adolescents – A mixed methods study
title_short Factors associated with low fitness in adolescents – A mixed methods study
title_sort factors associated with low fitness in adolescents – a mixed methods study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4132898/
https://www.ncbi.nlm.nih.gov/pubmed/25074589
http://dx.doi.org/10.1186/1471-2458-14-764
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