Literature DB >> 24902465

How active are rural children and adolescents during PE class? An examination of light physical activity.

Molly R Matthews-Ewald, George A Kelley, Lucas C Moore, Matthew J Gurka.   

Abstract

BACKGROUND: Few studies have examined non-exercise activity thermogenesis (NEAT) or light physical activity among a group of rural youth, particularly during physical education (PE) class. The purpose of this study was to determine whether the percent of PE class time spent in NEAT is related to school level (elementary versus high school) in a group of rural youth.
METHODS: Accelerometer data from 357 students (192 elementary, 165 high school) were included in the analysis. Mixed model linear regression was performed to examine the effect of school level on the percent of PE class time spent in NEAT. Covariates included gender, PE teacher, and the duration of the PE class.
RESULTS: School level was a significant predictor of the percent of PE class time spent in NEAT. Specifically, elementary school students spent more of their PE class time in NEAT than high school students (p < .001). No other significant predictors were identified.
CONCLUSIONS: The results of this study suggest an association between lower levels of light (NEAT) physical activity among high school versus elementary school students during PE class.

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Mesh:

Year:  2014        PMID: 24902465      PMCID: PMC4390131     

Source DB:  PubMed          Journal:  W V Med J        ISSN: 0043-3284


  19 in total

1.  Leisure-time, occupational, and household physical activity among professional, skilled, and less-skilled workers and homemakers.

Authors:  J Salmon; N Owen; A Bauman; M K Schmitz; M Booth
Journal:  Prev Med       Date:  2000-03       Impact factor: 4.018

Review 2.  Non-exercise activity thermogenesis (NEAT).

Authors:  James A Levine
Journal:  Best Pract Res Clin Endocrinol Metab       Date:  2002-12       Impact factor: 4.690

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4.  Built and social environments associations with adolescent overweight and activity.

Authors:  Melissa C Nelson; Penny Gordon-Larsen; Yan Song; Barry M Popkin
Journal:  Am J Prev Med       Date:  2006-08       Impact factor: 5.043

5.  Small sample inference for fixed effects from restricted maximum likelihood.

Authors:  M G Kenward; J H Roger
Journal:  Biometrics       Date:  1997-09       Impact factor: 2.571

6.  The continuing epidemics of obesity and diabetes in the United States.

Authors:  A H Mokdad; B A Bowman; E S Ford; F Vinicor; J S Marks; J P Koplan
Journal:  JAMA       Date:  2001-09-12       Impact factor: 56.272

7.  The stability of children's physical activity as measured by accelerometry and self-report.

Authors:  K F Janz; J Witt; L T Mahoney
Journal:  Med Sci Sports Exerc       Date:  1995-09       Impact factor: 5.411

Review 8.  The obesity pandemic: where have we been and where are we going?

Authors:  Jesse Roth; Xiaoling Qiang; Sharon Lee Marbán; Henry Redelt; Barbara C Lowell
Journal:  Obes Res       Date:  2004-11

9.  Fifty communities putting prevention to work: accelerating chronic disease prevention through policy, systems and environmental change.

Authors:  Rebecca Bunnell; Dara O'Neil; Robin Soler; Rebecca Payne; Wayne H Giles; Janet Collins; Ursula Bauer
Journal:  J Community Health       Date:  2012-10

10.  Insufficiently active Australian college students: perceived personal, social, and environmental influences.

Authors:  E Leslie; N Owen; J Salmon; A Bauman; J F Sallis; S K Lo
Journal:  Prev Med       Date:  1999-01       Impact factor: 4.018

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  1 in total

1.  Child Physical Activity Associations With Cardiovascular Risk Factors Differ by Race.

Authors:  Nicholas M Edwards; Heidi J Kalkwarf; Jessica G Woo; Philip R Khoury; Stephen R Daniels; Elaine M Urbina
Journal:  Pediatr Exerc Sci       Date:  2016-02-17       Impact factor: 2.333

  1 in total

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