Literature DB >> 21836170

What proportion of youth are physically active? Measurement issues, levels and recent time trends.

Ulf Ekelund1, Grant Tomkinson, Neil Armstrong.   

Abstract

AIM: The aim of this review is to summarise issues surrounding the measurement of physical activity (PA) by self-report and accelerometry in youth (2-18 years old). Current levels and temporal trends in PA and sport participation and the effect of assessment method on data interpretation will be summarised.
METHODS: Relevant papers were extracted from a computerised literature search of MEDLINE and personal databases. Additional papers were extracted from reference lists of recently published reviews.
RESULTS: The criterion validity (direct comparison with an objective method) of self-reported instruments is low to moderate, with correlation coefficients generally between 0.3 and 0.4. Self-report instruments overestimate the intensity and duration of PA and sport participation. The interpretation of PA data from accelerometry is a challenge, and specific issues include the definition of intensity thresholds and the influence of age on intensity thresholds. Recent data on self-reported PA in youth suggest that between 30% and 40% are sufficiently active. Prevalence values for sufficiently active youth measured by accelerometry range between 1% and 100%, depending on the intensity thresholds used. Sport participation is likely to contribute to higher levels of PA. The available evidence does not support the notion that PA levels and sport participation in youth have declined in recent decades.
CONCLUSION: The number of youth meeting current PA guidelines varies by assessment method and the intensity thresholds used when PA is measured by accelerometry. The available evidence does not firmly support the notion that PA in young people has declined during the last decades. It is unlikely that any self-report method is sufficiently accurate for examining cross-cultural differences and temporal trends in young people's PA and sport participation over time. Surveillance systems therefore need to strive for an international standardisation using objective measurements of PA to complement existing self-report instruments.

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Mesh:

Year:  2011        PMID: 21836170     DOI: 10.1136/bjsports-2011-090190

Source DB:  PubMed          Journal:  Br J Sports Med        ISSN: 0306-3674            Impact factor:   13.800


  102 in total

Review 1.  Temporal changes in long-distance running performance of Asian children between 1964 and 2009.

Authors:  Grant R Tomkinson; Duncan Macfarlane; Shingo Noi; Dae-Yeon Kim; Zhengzhen Wang; Ren Hong
Journal:  Sports Med       Date:  2012-04-01       Impact factor: 11.136

2.  Temporal Trends in the Cardiorespiratory Fitness of 2,525,827 Adults Between 1967 and 2016: A Systematic Review.

Authors:  Nicholas R Lamoureux; John S Fitzgerald; Kevin I Norton; Todd Sabato; Mark S Tremblay; Grant R Tomkinson
Journal:  Sports Med       Date:  2019-01       Impact factor: 11.136

3.  Temporal Trends in the Standing Broad Jump Performance of 10,940,801 Children and Adolescents Between 1960 and 2017.

Authors:  Grant R Tomkinson; Tori Kaster; Faith L Dooley; John S Fitzgerald; Madison Annandale; Katia Ferrar; Justin J Lang; Jordan J Smith
Journal:  Sports Med       Date:  2021-03       Impact factor: 11.136

Review 4.  A review of adolescent high-intensity interval training.

Authors:  Greig R M Logan; Nigel Harris; Scott Duncan; Grant Schofield
Journal:  Sports Med       Date:  2014-08       Impact factor: 11.136

5.  From secondary school to university: associations between sport participation and total and domain-specific sedentary behaviours in Spanish students.

Authors:  I Arumi Prat; E Cirera Viñolas; J C Martori Cañas; D A Wasley; A Puig-Ribera
Journal:  Eur J Pediatr       Date:  2020-05-06       Impact factor: 3.183

6.  Brain reactivity to visual food stimuli after moderate-intensity exercise in children.

Authors:  Travis D Masterson; C Brock Kirwan; Lance E Davidson; Michael J Larson; Kathleen L Keller; S Nicole Fearnbach; Alyssa Evans; James D LeCheminant
Journal:  Brain Imaging Behav       Date:  2018-08       Impact factor: 3.978

Review 7.  Physical activity assessment tools for use in overweight and obese children.

Authors:  C V L Ellery; H A Weiler; T J Hazell
Journal:  Int J Obes (Lond)       Date:  2013-07-05       Impact factor: 5.095

8.  Internet Based Obesity Prevention Program for Thai School Children- A Randomized Control Trial.

Authors:  Lakkana Rerksuppaphol; Sanguansak Rerksuppaphol
Journal:  J Clin Diagn Res       Date:  2017-03-01

9.  Accelerometry-assessed sedentary behaviour and physical activity levels during the segmented school day in 10-14-year-old children: the HAPPY study.

Authors:  Daniel P Bailey; Stuart J Fairclough; Louise A Savory; Sarah J Denton; Dong Pang; Colleen S Deane; Catherine J Kerr
Journal:  Eur J Pediatr       Date:  2012-09-15       Impact factor: 3.183

10.  Associations of Objectively Measured Physical Activity and Sedentary Time With Arterial Stiffness in Pre-Pubertal Children.

Authors:  Eero A Haapala; Juuso Väistö; Aapo Veijalainen; Niina Lintu; Petri Wiklund; Kate Westgate; Ulf Ekelund; Virpi Lindi; Soren Brage; Timo A Lakka
Journal:  Pediatr Exerc Sci       Date:  2017-01-25       Impact factor: 2.333

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