Literature DB >> 31314124

Comparison of self-reported and accelerometer-measured physical activity among Canadian youth.

Rachel C Colley1, Gregory Butler2, Didier Garriguet1, Stephanie A Prince3, Karen C Roberts2.   

Abstract

BACKGROUND: Generally, correlation and agreement between self-reported and accelerometer-measured physical activity are low. The objective of this study is to compare estimates of physical activity from a newly developed Canadian questionnaire with measurements by accelerometer among 12- to 17-year-olds. DATA AND METHODS: Physical activity was self-reported by domain (transportation, recreation, school, and occupational/household) as part of the new Physical Activity Youth Questionnaire (PAYQ) in the Canadian Health Measures Survey (CHMS; 2014-2017; n = 975) and the Canadian Community Health Survey (CCHS; 2015-2016; n=7,619). The CHMS also collected moderate-to-vigorous physical activity (MVPA) data using the Actical accelerometer. Descriptive statistics and correlation and agreement analyses were used to compare and contrast self-reported and accelerometer-measured physical activity variables. Linear regression was used to assess the association between physical activity and obesity.
RESULTS: The average daily MVPA measured by accelerometry was 49.7 minutes per day. According to the PAYQ, Canadian youth reported an average of 78.2 minutes of physical activity per day from all domains, including recreation (31.3 minutes per day), transportation (15.5 minutes per day), school (25.8 minutes per day), and occupational/household (5.6 minutes per day). According to accelerometer-measured MVPA, 23.1% of youth met the physical activity guideline. The inclusion of all domains of self-reported physical activity resulted in a higher percentage of youth meeting the physical activity guideline (58.6%) than was the case for the recreation domain only (18.5%) or the sum of the recreation and school domains (34.0%). Overall, self-reported and accelerometer-measured physical activity estimates were poorly correlated (R ⟨ 0.2). DISCUSSION: Population-level estimates of physical activity and the percentage of youth meeting the physical activity guideline were well-aligned between the Actical and the PAYQ; however, large differences were evident at the individual level. Therefore, caution should be exercised in using data from these two methods since their values may not be interchangeable.

Entities:  

Keywords:  Data collection; direct measure; exercise; health surveys; movement

Year:  2019        PMID: 31314124     DOI: 10.25318/82-003-x201900700001-eng

Source DB:  PubMed          Journal:  Health Rep        ISSN: 0840-6529            Impact factor:   4.796


  7 in total

1.  The Neglected Role of Physical Education Participation on Suicidal Ideation and Stress in High School Adolescents from South Korea.

Authors:  Saengryeol Park; So-Youn Park; Su Yeon Jang; Gapjin Oh; In-Hwan Oh
Journal:  Int J Environ Res Public Health       Date:  2020-04-20       Impact factor: 3.390

2.  What Accounts for Physical Activity during Pregnancy? A Study on the Sociodemographic Predictors of Self-Reported and Objectively Assessed Physical Activity during the 1st and 2nd Trimesters of Pregnancy.

Authors:  Ana Mendinueta; Haritz Esnal; Haritz Arrieta; Miren Arrue; Nerea Urbieta; Itziar Ubillos; Kristina W Whitworth; Xavier Delclòs-Alió; Guillem Vich; Jesus Ibarluzea
Journal:  Int J Environ Res Public Health       Date:  2020-04-07       Impact factor: 3.390

3.  Global trends in insufficient physical activity among adolescents: a pooled analysis of 298 population-based surveys with 1·6 million participants.

Authors:  Regina Guthold; Gretchen A Stevens; Leanne M Riley; Fiona C Bull
Journal:  Lancet Child Adolesc Health       Date:  2019-11-21

4.  Mediators of differences by parental education in weight-related outcomes in childhood and adolescence in Norway.

Authors:  Mekdes K Gebremariam; Eleni Papadopoulou; Teferi Mekonnen; Anne-Lise Brantsæter; Lene F Andersen; Nanna Lien; Onyebuchi A Arah
Journal:  Sci Rep       Date:  2022-04-05       Impact factor: 4.379

5.  A Comparison of Meeting Physical Activity and Screen Time Recommendations between Canadian Youth Living in Rural and Urban Communities: A Nationally Representative Cross-Sectional Analysis.

Authors:  Taru Manyanga; Chelsea Pelletier; Stephanie A Prince; Eun-Young Lee; Larine Sluggett; Justin J Lang
Journal:  Int J Environ Res Public Health       Date:  2022-04-06       Impact factor: 3.390

6.  Adaptation of a Danish online version of the Oxford Physical Activity Questionnaire (OPAQ) for secondary school students-a pilot study.

Authors:  Charlotte Raadkjær Lykkegaard; Sonja Wehberg; Frans Boch Waldorff; Jens Søndergaard; Sinead Holden
Journal:  Pilot Feasibility Stud       Date:  2022-07-25

7.  Why have youth physical activity trends flatlined in the last decade? Opinion piece on "Global trends in insufficient physical activity among adolescents: a pooled analysis of 298 population-based surveys with 1.6 million participants" by Guthold et al.

Authors:  Greet Cardon; Jo Salmon
Journal:  J Sport Health Sci       Date:  2020-05-19       Impact factor: 7.179

  7 in total

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