Cargando…

Health-related physical fitness indicators and clustered cardiometabolic risk factors in adolescents: A longitudinal study

BACKGROUND/OBJECTIVE: This study examined relationships between health-related physical fitness indicators and clustered cardiometabolic risk factors in adolescents between 2014 and 2017. METHODS: The sample consisted of 93 students (60% girls), with complete data sets in both 2014 and 2017. The phy...

Descripción completa

Detalles Bibliográficos
Autores principales: Roldão da Silva, Paula, Castilho dos Santos, Géssika, Marcio da Silva, Jadson, Ferreira de Faria, Waynne, Gonçalves de Oliveira, Raphael, Stabelini Neto, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Society of Chinese Scholars on Exercise Physiology and Fitness 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7330612/
https://www.ncbi.nlm.nih.gov/pubmed/32636893
http://dx.doi.org/10.1016/j.jesf.2020.06.002
_version_ 1783553154410872832
author Roldão da Silva, Paula
Castilho dos Santos, Géssika
Marcio da Silva, Jadson
Ferreira de Faria, Waynne
Gonçalves de Oliveira, Raphael
Stabelini Neto, Antonio
author_facet Roldão da Silva, Paula
Castilho dos Santos, Géssika
Marcio da Silva, Jadson
Ferreira de Faria, Waynne
Gonçalves de Oliveira, Raphael
Stabelini Neto, Antonio
author_sort Roldão da Silva, Paula
collection PubMed
description BACKGROUND/OBJECTIVE: This study examined relationships between health-related physical fitness indicators and clustered cardiometabolic risk factors in adolescents between 2014 and 2017. METHODS: The sample consisted of 93 students (60% girls), with complete data sets in both 2014 and 2017. The physical fitness components evaluated were: flexibility (sit and reach), muscular fitness (curl-up and push-up), cardiorespiratory fitness (progressive aerobic cardiovascular endurance run), and body fat (BMI). The cardiometabolic risk factors were: waist circumference, blood pressure, high-density lipoprotein cholesterol (HDL-C), triglycerides and fasting blood glucose. Z-scores were calculated for each risk factor, with the sum of risk factor z-scores values used to represent clustered cardiometabolic risk. RESULTS: The results of cross-sectional analysis indicated that muscle fitness (curl-up: β = −0.37, p < 0.001; push-up: β = −0.38, p < 0.005) and cardiorespiratory fitness (β = −0.56, p < 0.001) were inversely associated with clustered cardiometabolic risk, with BMI positively associated (β = 0.58, p < 0.001). In the longitudinal analysis, cardiorespiratory fitness (β = −0.33; p < 0.005) and body fat (β = 0.46, p < 0.001) demonstrated a significant association with clustered cardiometabolic risk. However, no significant associations between the health-related physical fitness and clustered cardiometabolic risk were observed after adjustment for baseline values. CONCLUSION: Our cross-sectional findings highlight the importance of health-related physical fitness indicators to adolescents. In regarding the longitudinal analysis, further studies are needed in order to clarify the influence of physical fitness in the adolescence and cardiometabolic risk later in life.
format Online
Article
Text
id pubmed-7330612
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher The Society of Chinese Scholars on Exercise Physiology and Fitness
record_format MEDLINE/PubMed
spelling pubmed-73306122020-07-06 Health-related physical fitness indicators and clustered cardiometabolic risk factors in adolescents: A longitudinal study Roldão da Silva, Paula Castilho dos Santos, Géssika Marcio da Silva, Jadson Ferreira de Faria, Waynne Gonçalves de Oliveira, Raphael Stabelini Neto, Antonio J Exerc Sci Fit Original Article BACKGROUND/OBJECTIVE: This study examined relationships between health-related physical fitness indicators and clustered cardiometabolic risk factors in adolescents between 2014 and 2017. METHODS: The sample consisted of 93 students (60% girls), with complete data sets in both 2014 and 2017. The physical fitness components evaluated were: flexibility (sit and reach), muscular fitness (curl-up and push-up), cardiorespiratory fitness (progressive aerobic cardiovascular endurance run), and body fat (BMI). The cardiometabolic risk factors were: waist circumference, blood pressure, high-density lipoprotein cholesterol (HDL-C), triglycerides and fasting blood glucose. Z-scores were calculated for each risk factor, with the sum of risk factor z-scores values used to represent clustered cardiometabolic risk. RESULTS: The results of cross-sectional analysis indicated that muscle fitness (curl-up: β = −0.37, p < 0.001; push-up: β = −0.38, p < 0.005) and cardiorespiratory fitness (β = −0.56, p < 0.001) were inversely associated with clustered cardiometabolic risk, with BMI positively associated (β = 0.58, p < 0.001). In the longitudinal analysis, cardiorespiratory fitness (β = −0.33; p < 0.005) and body fat (β = 0.46, p < 0.001) demonstrated a significant association with clustered cardiometabolic risk. However, no significant associations between the health-related physical fitness and clustered cardiometabolic risk were observed after adjustment for baseline values. CONCLUSION: Our cross-sectional findings highlight the importance of health-related physical fitness indicators to adolescents. In regarding the longitudinal analysis, further studies are needed in order to clarify the influence of physical fitness in the adolescence and cardiometabolic risk later in life. The Society of Chinese Scholars on Exercise Physiology and Fitness 2020-09 2020-06-18 /pmc/articles/PMC7330612/ /pubmed/32636893 http://dx.doi.org/10.1016/j.jesf.2020.06.002 Text en © 2020 The Society of Chinese Scholars on Exercise Physiology and Fitness. Published by Elsevier (Singapore) Pte Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Roldão da Silva, Paula
Castilho dos Santos, Géssika
Marcio da Silva, Jadson
Ferreira de Faria, Waynne
Gonçalves de Oliveira, Raphael
Stabelini Neto, Antonio
Health-related physical fitness indicators and clustered cardiometabolic risk factors in adolescents: A longitudinal study
title Health-related physical fitness indicators and clustered cardiometabolic risk factors in adolescents: A longitudinal study
title_full Health-related physical fitness indicators and clustered cardiometabolic risk factors in adolescents: A longitudinal study
title_fullStr Health-related physical fitness indicators and clustered cardiometabolic risk factors in adolescents: A longitudinal study
title_full_unstemmed Health-related physical fitness indicators and clustered cardiometabolic risk factors in adolescents: A longitudinal study
title_short Health-related physical fitness indicators and clustered cardiometabolic risk factors in adolescents: A longitudinal study
title_sort health-related physical fitness indicators and clustered cardiometabolic risk factors in adolescents: a longitudinal study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7330612/
https://www.ncbi.nlm.nih.gov/pubmed/32636893
http://dx.doi.org/10.1016/j.jesf.2020.06.002
work_keys_str_mv AT roldaodasilvapaula healthrelatedphysicalfitnessindicatorsandclusteredcardiometabolicriskfactorsinadolescentsalongitudinalstudy
AT castilhodossantosgessika healthrelatedphysicalfitnessindicatorsandclusteredcardiometabolicriskfactorsinadolescentsalongitudinalstudy
AT marciodasilvajadson healthrelatedphysicalfitnessindicatorsandclusteredcardiometabolicriskfactorsinadolescentsalongitudinalstudy
AT ferreiradefariawaynne healthrelatedphysicalfitnessindicatorsandclusteredcardiometabolicriskfactorsinadolescentsalongitudinalstudy
AT goncalvesdeoliveiraraphael healthrelatedphysicalfitnessindicatorsandclusteredcardiometabolicriskfactorsinadolescentsalongitudinalstudy
AT stabelininetoantonio healthrelatedphysicalfitnessindicatorsandclusteredcardiometabolicriskfactorsinadolescentsalongitudinalstudy