Literature DB >> 23885661

Impact of the choice of threshold on physical activity patterns in free living conditions among adolescents measured using a uniaxial accelerometer: the HELENA study.

Jeremy Vanhelst1, Laurent Béghin, Julia Salleron, Jonathan R Ruiz, Francesco B Ortega, Charlene Ottevaere, Denes Molnar, Anthony Kafatos, Yannis Manios, Kurt Widhalm, J A Casajus, Beatrice Mauro, Michael Sjöström, Frédéric Gottrand.   

Abstract

The aim of this study was to assess the impact of the choice of threshold on physical activity patterns measured in adolescents under free living conditions (FLC) using a uniaxial accelerometer. The study comprised 2043 adolescents (12.5-17.5 years) participating in the HELENA Study. Participants wore a uniaxial accelerometer for 7 days. The PA patterns were assessed using thresholds determined from six different studies. For each of the thresholds used, the number of adolescents fulfilling the recommendation of 60 min of moderate to vigorous PA (MVPA) per day was also calculated. A significant difference was found between thresholds regardless of the activity level: differences of 38%, 207%, 136%, and 2780% for sedentary, light, moderate, and vigorous intensity PA, respectively (P < 0.001). Time of MVPA varied between methods from 25.3 to 55.2 min · day(-1). The number of adolescents fulfilling the recommendation varied from 5.9% to 37% according to the thresholds used. The kappa coefficient for concordance in the assessment of the number of adolescents achieving the PA recommendations was generally low. The definition of the threshold for PA intensity may considerably affect the PA patterns in FLC when assessed using a uniaxial accelerometer and the number of participants fulfilling the recommendations.

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Year:  2013        PMID: 23885661     DOI: 10.1080/02640414.2013.809473

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  5 in total

1.  Proportion of children meeting recommendations for 24-hour movement guidelines and associations with adiposity in a 12-country study.

Authors:  Blanca Roman-Viñas; Jean-Philippe Chaput; Peter T Katzmarzyk; Mikael Fogelholm; Estelle V Lambert; Carol Maher; Jose Maia; Timothy Olds; Vincent Onywera; Olga L Sarmiento; Martyn Standage; Catrine Tudor-Locke; Mark S Tremblay
Journal:  Int J Behav Nutr Phys Act       Date:  2016-11-25       Impact factor: 6.457

2.  Feasibility of Physical Activity Assessment with Wearable Devices in Children Aged 4-10 Years-A Pilot Study.

Authors:  Jan Müller; Anna-Maria Hoch; Vanessa Zoller; Renate Oberhoffer
Journal:  Front Pediatr       Date:  2018-01-26       Impact factor: 3.418

3.  Accelerometer-derived physical activity estimation in preschoolers - comparison of cut-point sets incorporating the vector magnitude vs the vertical axis.

Authors:  Claudia S Leeger-Aschmann; Einat A Schmutz; Annina E Zysset; Tanja H Kakebeeke; Nadine Messerli-Bürgy; Kerstin Stülb; Amar Arhab; Andrea H Meyer; Simone Munsch; Oskar G Jenni; Jardena J Puder; Susi Kriemler
Journal:  BMC Public Health       Date:  2019-05-06       Impact factor: 3.295

4.  Quantification of physical activity of Malaysian traditional games for school-based intervention among primary school children.

Authors:  Mazuin Adnan; Shazlin Shaharudin; Baidruel Hairiel Abd Rahim; Siti Musyrifah Ismail
Journal:  J Taibah Univ Med Sci       Date:  2020-10-31

5.  Gender Influences on Physical Activity Awareness of Adolescents and Their Parents.

Authors:  Joaquín Lago-Ballesteros; Marcos García-Pascual; Miguel Ángel González-Valeiro; María Á Fernández-Villarino
Journal:  Int J Environ Res Public Health       Date:  2021-05-26       Impact factor: 3.390

  5 in total

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