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A Cross-Sectional Investigation of Preadolescent Cardiometabolic Health: Associations with Fitness, Physical Activity, Sedentary Behavior, Nutrition, and Sleep

Background: Cardiometabolic disease (CMD) risk often begins early in life. Healthy lifestyle behaviors can mitigate risk, but the optimal combination of behaviors has not been determined. This cross-sectional study simultaneously examined the associations between lifestyle factors (fitness, activity...

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Autores principales: Castro, Nicholas, Zieff, Gabriel, Bates, Lauren C., Pagan Lassalle, Patricia, Higgins, Simon, Faulkner, James, Lark, Sally, Skidmore, Paula, Hamlin, Michael J., Signal, T. Leigh, Williams, Michelle A., Stoner, Lee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955686/
https://www.ncbi.nlm.nih.gov/pubmed/36832464
http://dx.doi.org/10.3390/children10020336
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author Castro, Nicholas
Zieff, Gabriel
Bates, Lauren C.
Pagan Lassalle, Patricia
Higgins, Simon
Faulkner, James
Lark, Sally
Skidmore, Paula
Hamlin, Michael J.
Signal, T. Leigh
Williams, Michelle A.
Stoner, Lee
author_facet Castro, Nicholas
Zieff, Gabriel
Bates, Lauren C.
Pagan Lassalle, Patricia
Higgins, Simon
Faulkner, James
Lark, Sally
Skidmore, Paula
Hamlin, Michael J.
Signal, T. Leigh
Williams, Michelle A.
Stoner, Lee
author_sort Castro, Nicholas
collection PubMed
description Background: Cardiometabolic disease (CMD) risk often begins early in life. Healthy lifestyle behaviors can mitigate risk, but the optimal combination of behaviors has not been determined. This cross-sectional study simultaneously examined the associations between lifestyle factors (fitness, activity behaviors, and dietary patterns) and CMD risk in preadolescent children. Methods: 1480 New Zealand children aged 8–10 years were recruited. Participants included 316 preadolescents (50% female, age: 9.5 ± 1.1 years, BMI: 17.9 ± 3.3 kg/m(2)). Fitness (cardiorespiratory fitness [CRF], muscular fitness), activity behaviors (physical activity, sedentary, sleep), and dietary patterns were measured. Factor analysis was used to derive a CMD risk score from 13 variables (adiposity, peripheral and central hemodynamics, glycemic control, and blood lipids). Results: Only CRF (β = −0.45, p < 0.001) and sedentary time (β = 0.12, p = 0.019) were associated with the CMD risk score in the adjusted multivariable analysis. CRF was found to be nonlinear (VO(2) max ≤ ≈42 mL/kg/min associated with higher CMD risk score), and thus a CRF polynomial term was added, which was also associated (β = 0.19, p < 0.001) with the CMD risk score. Significant associations were not found with sleep or dietary variables. Conclusion: The findings indicate that increasing CRF and decreasing sedentary behavior may be important public health targets in preadolescent children.
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spelling pubmed-99556862023-02-25 A Cross-Sectional Investigation of Preadolescent Cardiometabolic Health: Associations with Fitness, Physical Activity, Sedentary Behavior, Nutrition, and Sleep Castro, Nicholas Zieff, Gabriel Bates, Lauren C. Pagan Lassalle, Patricia Higgins, Simon Faulkner, James Lark, Sally Skidmore, Paula Hamlin, Michael J. Signal, T. Leigh Williams, Michelle A. Stoner, Lee Children (Basel) Article Background: Cardiometabolic disease (CMD) risk often begins early in life. Healthy lifestyle behaviors can mitigate risk, but the optimal combination of behaviors has not been determined. This cross-sectional study simultaneously examined the associations between lifestyle factors (fitness, activity behaviors, and dietary patterns) and CMD risk in preadolescent children. Methods: 1480 New Zealand children aged 8–10 years were recruited. Participants included 316 preadolescents (50% female, age: 9.5 ± 1.1 years, BMI: 17.9 ± 3.3 kg/m(2)). Fitness (cardiorespiratory fitness [CRF], muscular fitness), activity behaviors (physical activity, sedentary, sleep), and dietary patterns were measured. Factor analysis was used to derive a CMD risk score from 13 variables (adiposity, peripheral and central hemodynamics, glycemic control, and blood lipids). Results: Only CRF (β = −0.45, p < 0.001) and sedentary time (β = 0.12, p = 0.019) were associated with the CMD risk score in the adjusted multivariable analysis. CRF was found to be nonlinear (VO(2) max ≤ ≈42 mL/kg/min associated with higher CMD risk score), and thus a CRF polynomial term was added, which was also associated (β = 0.19, p < 0.001) with the CMD risk score. Significant associations were not found with sleep or dietary variables. Conclusion: The findings indicate that increasing CRF and decreasing sedentary behavior may be important public health targets in preadolescent children. MDPI 2023-02-09 /pmc/articles/PMC9955686/ /pubmed/36832464 http://dx.doi.org/10.3390/children10020336 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Castro, Nicholas
Zieff, Gabriel
Bates, Lauren C.
Pagan Lassalle, Patricia
Higgins, Simon
Faulkner, James
Lark, Sally
Skidmore, Paula
Hamlin, Michael J.
Signal, T. Leigh
Williams, Michelle A.
Stoner, Lee
A Cross-Sectional Investigation of Preadolescent Cardiometabolic Health: Associations with Fitness, Physical Activity, Sedentary Behavior, Nutrition, and Sleep
title A Cross-Sectional Investigation of Preadolescent Cardiometabolic Health: Associations with Fitness, Physical Activity, Sedentary Behavior, Nutrition, and Sleep
title_full A Cross-Sectional Investigation of Preadolescent Cardiometabolic Health: Associations with Fitness, Physical Activity, Sedentary Behavior, Nutrition, and Sleep
title_fullStr A Cross-Sectional Investigation of Preadolescent Cardiometabolic Health: Associations with Fitness, Physical Activity, Sedentary Behavior, Nutrition, and Sleep
title_full_unstemmed A Cross-Sectional Investigation of Preadolescent Cardiometabolic Health: Associations with Fitness, Physical Activity, Sedentary Behavior, Nutrition, and Sleep
title_short A Cross-Sectional Investigation of Preadolescent Cardiometabolic Health: Associations with Fitness, Physical Activity, Sedentary Behavior, Nutrition, and Sleep
title_sort cross-sectional investigation of preadolescent cardiometabolic health: associations with fitness, physical activity, sedentary behavior, nutrition, and sleep
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955686/
https://www.ncbi.nlm.nih.gov/pubmed/36832464
http://dx.doi.org/10.3390/children10020336
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