Literature DB >> 29221862

Physical activity, sedentary time, TV viewing, physical fitness and cardiovascular disease risk in adolescents: The HELENA study.

Alan R Barker1, Luis Gracia-Marco2, Jonatan R Ruiz3, Manuel J Castillo4, Raquel Aparicio-Ugarriza5, Marcela González-Gross6, Anthony Kafatos7, Odysseas Androutsos8, Angela Polito9, Dénes Molnar10, Kurt Widhalm11, Luis A Moreno12.   

Abstract

BACKGROUND: To examine the independent associations between physical activity (PA) intensities, sedentary time (ST), TV viewing, cardiorespiratory fitness (CRF) and muscular fitness (MF) with cardiovascular disease (CVD) risk in youth.
METHODS: A cross-sectional study on 534 European adolescents (252 males, 282 females, 12.5-17.5years). Minutes per day of light (LPA), moderate (MPA) and vigorous (VPA) PA and total ST were measured using accelerometers. TV viewing time was measured using a questionnaire. CRF and MF were measured using the 20m shuttle run test and a hand dynamometer respectively. CVD outcomes included markers of body composition (body mass index (BMI), waist circumference (WC), WC/height (Ht) and sum of skinfolds (SumSF)), blood pressure, blood lipids and insulin resistance (HOMA-IR). Clustered CVD risk was calculated using SumSF, HOMA-IR, blood lipids and blood pressure.
RESULTS: LPA had a significant positive independent relationship with all body composition outcomes (P<0.001) and clustered CVD risk (P=0.046). VPA was negatively related to SumSF (P<0.001), BMI (P=0.018), WC/Ht (P=0.013) and clustered CVD risk (P=0.001), but was non-significant for all when other exposures were considered (P>0.10). MPA had a negative independent relationship with only WC (P=0.029) and ST was not significantly related to CVD risk (P>0.16). TV viewing had a significant positive independent relationship with HOMA-IR (P<0.001) and clustered CVD risk (P=0.019). CRF (all P<0.002) and MF (all P<0.009) had a negative independent relationship with body composition outcomes and clustered CVD risk.
CONCLUSIONS: Public health guidelines should prioritize on increasing levels of CRF, MF and VPA, and reducing TV viewing time to lower CVD risk in youth.
Copyright © 2017 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Body composition; Cardiorespiratory fitness; Exercise; Health; Muscular fitness

Mesh:

Year:  2017        PMID: 29221862     DOI: 10.1016/j.ijcard.2017.11.080

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  21 in total

1.  Objectively Measured Aerobic Fitness is Not Related to Vascular Health Outcomes and Cardiovascular Disease Risk In 9-10 Year Old Children.

Authors:  Colin Farr; Andrew R Middlebrooke; Neil Armstrong; Alan R Barker; Jon Fulford; David M Mawson; Ali M McManus
Journal:  J Sports Sci Med       Date:  2019-08-01       Impact factor: 2.988

2.  A little more time around the track may go a long way: Implications of increasing moderate to vigorous physical activity in pre-adolescents.

Authors:  Zareen Farukhi; Samia Mora
Journal:  Atherosclerosis       Date:  2019-06-29       Impact factor: 5.162

3.  Perceptual and Cardiorespiratory Responses to High-Intensity Interval Exercise in Adolescents: Does Work Intensity Matter?

Authors:  Adam A Malik; Craig A Williams; Kathryn L Weston; Alan R Barker
Journal:  J Sports Sci Med       Date:  2019-02-11       Impact factor: 2.988

4.  Relationship of Objectively Measured Physical Activity, Sedentary Behavior and Sleep Time with Cardiovascular and Mtabolic Outcomes in Adolescents (A Pilot Study): ABCD Growth Study.

Authors:  Andrea Wigna; Jacqueline B Urban; Wésley Torres; Lucas G Moraes-Chagas; Jefferson S Dias; David S Nunes; Veronica A de-Menezes; Rômulo A Fernandes
Journal:  Matern Child Health J       Date:  2022-09-20

5.  Muscular Fitness and Cardiometabolic Variables in Children and Adolescents: A Systematic Review.

Authors:  Tiago Rodrigues de Lima; Priscila Custódio Martins; Yara Maria Franco Moreno; Jean-Philippe Chaput; Mark Stephen Tremblay; Xuemei Sui; Diego Augusto Santos Silva
Journal:  Sports Med       Date:  2022-01-12       Impact factor: 11.928

6.  Association between daily TV time and physical fitness in 6- to 14-year-old Austrian youth.

Authors:  Klaus Greier; Clemens Drenowatz; Gerhard Ruedl; Herbert Riechelmann
Journal:  Transl Pediatr       Date:  2019-12

7.  Age-varying Bi-directional Associations Between Momentary Affect and Movement Behaviors in Children: Evidence From a Multi-wave Ecological Momentary Assessment Study.

Authors:  Chih-Hsiang Yang; Jennifer Zink; Britni R Belcher; Martina Kanning; Genevieve F Dunton
Journal:  Ann Behav Med       Date:  2021-08-23

8.  Cardiorespiratory Fitness, Physical Activity, and Insulin Resistance in Children.

Authors:  Eero A Haapala; Petri Wiklund; Niina Lintu; Tuomo Tompuri; Juuso Väistö; Taija Finni; Ina M Tarkka; Titta Kemppainen; Alan R Barker; Ulf Ekelund; Soren Brage; Timo A Lakka
Journal:  Med Sci Sports Exerc       Date:  2020-05

9.  Prevalence and sociodemographic correlates of physical activity and sitting time among South American adolescents: a harmonized analysis of nationally representative cross-sectional surveys.

Authors:  Raphael H O Araujo; André O Werneck; Luciana L Barboza; Robinson Ramírez-Vélez; Clarice M L Martins; Rafael M Tassitano; Ellen C M Silva; Gilmar M de Jesus; Thiago S Matias; Luiz R A de Lima; Javier Brazo-Sayavera; Danilo R Silva
Journal:  Int J Behav Nutr Phys Act       Date:  2022-05-08       Impact factor: 8.915

10.  Effectiveness of Text Message Interventions for Weight Management in Adolescents: Systematic Review.

Authors:  Stephanie Ruth Partridge; Rebecca Raeside; Anna Singleton; Karice Hyun; Julie Redfern
Journal:  JMIR Mhealth Uhealth       Date:  2020-05-26       Impact factor: 4.773

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