Literature DB >> 25647532

Length of moderate-to-vigorous physical activity bouts and cardio-metabolic risk factors in elementary school children.

Erik A Willis1, Lauren T Ptomey2, Amanda N Szabo-Reed2, Jeffery J Honas2, Jaehoon Lee3, Richard A Washburn2, Joseph E Donnelly2.   

Abstract

BACKGROUND: Accumulating moderate-to-vigorous physical activity (MVPA) in bouts of 10 min is associated with improved cardio-metabolic risk factors (CMRF) in adults.
PURPOSE: To assess the association between the lengths of MVPA bouts and CMRF in elementary school age children.
METHODS: The sample included 396, 2nd and 3rd grade students from eastern Kansas (182 boys, 214 girls; age 7.6 ± 0.6 years; Body Mass Index Percentile [BMI%ile]: 61.6 ± 9.3) in the fall of 2011. Analyses were conducted in 2014. MVPA bouts were defined as sporadic (<5 min), short (5-<10 min) or medium-to-long (≥10 min). Latent profile analysis was used to identify distinct subgroups (classes) based on the composition of MVPA bouts. Bayesian probability-based Wald chi-square test was used to compare CMRF between classes controlling for age, sex, BMI%ile, and total moderate and total vigorous PA.
RESULTS: Three classes of accumulated physical activity were identified: A (n=78); 97% sporadic 2%, short, 1% medium-to-long bouts; B (n=174); 93% sporadic, 5% short, 2% medium-to-long; C (n=144); and 86% sporadic, 9% short, 5% medium-to-long bouts. Class C had significantly lower BMI%ile (57.3 ± 2.3 (SE)), waist circumference (WC; 55.8 ± 0.5 cm) compared with Class A (BMI%ile=70.9±0.5, p<0.01.030, WC=61.0 ± 1.0 cm, p=0.<0.01). Class B had significantly lower WC (56.6 ± 0.6 cm), p<0.01 than Class A. No significant differences between classes were shown in other outcomes.
CONCLUSION: Children who accumulated MVPA with a higher percentage of short (5-<10 min) and medium-to-long bouts (≥10min) had lower BMI%ile, and WC compared with children who accumulated MVPA with a lower percentage short and medium-to-long bouts.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Accelerometer; Bouts; Cardio-metabolic risk factors; Physical activity

Mesh:

Year:  2015        PMID: 25647532      PMCID: PMC4455886          DOI: 10.1016/j.ypmed.2015.01.022

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  29 in total

1.  Influence of bouts of physical activity on overweight in youth.

Authors:  Amy E Mark; Ian Janssen
Journal:  Am J Prev Med       Date:  2009-05       Impact factor: 5.043

2.  Characteristics of the activity pattern in normal weight and overweight boys.

Authors:  Michelle R Stone; Ann V Rowlands; Roger G Eston
Journal:  Prev Med       Date:  2009-06-30       Impact factor: 4.018

3.  Prescribing exercise in multiple short bouts versus one continuous bout: effects on adherence, cardiorespiratory fitness, and weight loss in overweight women.

Authors:  J M Jakicic; R R Wing; B A Butler; R J Robertson
Journal:  Int J Obes Relat Metab Disord       Date:  1995-12

4.  2000 CDC Growth Charts for the United States: methods and development.

Authors:  Robert J Kuczmarski; Cynthia L Ogden; Shumei S Guo; Laurence M Grummer-Strawn; Katherine M Flegal; Zuguo Mei; Rong Wei; Lester R Curtin; Alex F Roche; Clifford L Johnson
Journal:  Vital Health Stat 11       Date:  2002-05

5.  Patterns of habitual activity across weekdays and weekend days in 9-11-year-old children.

Authors:  Ann V Rowlands; Emma L Pilgrim; Roger G Eston
Journal:  Prev Med       Date:  2007-11-21       Impact factor: 4.018

6.  The pattern of physical activity in relation to health outcomes in boys.

Authors:  Michelle R Stone; Ann V Rowlands; Andrew R Middlebrooke; M Nidzam Jawis; Roger G Eston
Journal:  Int J Pediatr Obes       Date:  2009

7.  Aerobic fitness attenuates the metabolic syndrome score in normal-weight, at-risk-for-overweight, and overweight children.

Authors:  Katrina D DuBose; Joey C Eisenmann; Joseph E Donnelly
Journal:  Pediatrics       Date:  2007-11       Impact factor: 7.124

8.  Physical activity in the United States measured by accelerometer.

Authors:  Richard P Troiano; David Berrigan; Kevin W Dodd; Louise C Mâsse; Timothy Tilert; Margaret McDowell
Journal:  Med Sci Sports Exerc       Date:  2008-01       Impact factor: 5.411

9.  Use of accelerometers in a large field-based study of children: protocols, design issues, and effects on precision.

Authors:  Calum Mattocks; Andy Ness; Sam Leary; Kate Tilling; Stephen N Blair; Julian Shield; Kevin Deere; Joanne Saunders; Joanne Kirkby; George Davey Smith; Jonathan Wells; Nicholas Wareham; John Reilly; Chris Riddoch
Journal:  J Phys Act Health       Date:  2008

10.  Physical activity levels and patterns of 9- and 15-yr-old European children.

Authors:  Chris J Riddoch; Lars Bo Andersen; Niels Wedderkopp; Maarike Harro; Lena Klasson-Heggebø; Luis B Sardinha; Ashley R Cooper; Ulf Ekelund
Journal:  Med Sci Sports Exerc       Date:  2004-01       Impact factor: 5.411

View more
  7 in total

1.  Cardiometabolic Correlates of Physical Activity and Sedentary Patterns in U.S. Youth.

Authors:  Gabrielle P Jenkins; Kelly R Evenson; Amy H Herring; Derek Hales; June Stevens
Journal:  Med Sci Sports Exerc       Date:  2017-09       Impact factor: 5.411

2.  The Effect of Physical Activity Bout Patterns on Metabolic Syndrome Risk Factors in Youth: National Health and Nutrition Examination Survey 2003-2006.

Authors:  David A White; Youngha Oh; Erik A Willis
Journal:  J Phys Act Health       Date:  2018-12-10

3.  Are adolescents really being sedentary or inactive when at school? An analysis of sedentary behaviour and physical activity bouts.

Authors:  Bruno Gonçalves Galdino da Costa; Kelly Samara da Silva; Luís Eduardo Argenta Malheiros; Giseli Minatto; Luiz Rodrigo Augustemak de Lima; Edio Luiz Petroski
Journal:  Eur J Pediatr       Date:  2018-09-04       Impact factor: 3.183

4.  Daily Time-Use Patterns and Obesity and Mental Health among Primary School Students in Shanghai: A Population-Based Cross-Sectional Study.

Authors:  Yunting Zhang; Donglan Zhang; Xinyue Li; Patrick Ip; Frederick Ho; Yanrui Jiang; Wanqi Sun; Qi Zhu; Weiming Zhu; Jun Zhang; Hongyu Zhao; Guanghai Wang; Xiaoming Shen; Fan Jiang
Journal:  Sci Rep       Date:  2017-11-23       Impact factor: 4.379

5.  Associations between activity patterns and cardio-metabolic risk factors in children and adolescents: A systematic review.

Authors:  Simone J J M Verswijveren; Karen E Lamb; Lisa A Bell; Anna Timperio; Jo Salmon; Nicola D Ridgers
Journal:  PLoS One       Date:  2018-08-16       Impact factor: 3.240

6.  Physical activity intensity, bout-duration, and cardiometabolic risk markers in children and adolescents.

Authors:  Jakob Tarp; Abbey Child; Tom White; Kate Westgate; Anna Bugge; Anders Grøntved; Niels Wedderkopp; Lars B Andersen; Greet Cardon; Rachel Davey; Kathleen F Janz; Susi Kriemler; Kate Northstone; Angie S Page; Jardena J Puder; John J Reilly; Luis B Sardinha; Esther M F van Sluijs; Ulf Ekelund; Katrien Wijndaele; Søren Brage
Journal:  Int J Obes (Lond)       Date:  2018-07-13       Impact factor: 5.095

Review 7.  Review of Short-Form Questions for the Evaluation of a Diet, Physical Activity, and Sedentary Behaviour Intervention in a Community Program Targeting Vulnerable Australian Children.

Authors:  Janelle A Gifford; Josephine D Gwynn; Louise L Hardy; Nicole Turner; Lily C Henderson; Christine Innes-Hughes; Victoria M Flood
Journal:  Children (Basel)       Date:  2018-07-13
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.