Literature DB >> 19144732

Is it possible to assess free-living physical activity and energy expenditure in young people by self-report?

Kirsten Corder1, Esther M F van Sluijs, Antony Wright, Peter Whincup, Nicholas J Wareham, Ulf Ekelund.   

Abstract

BACKGROUND: It is unclear whether it is possible to accurately estimate physical activity energy expenditure (PAEE) by self-report in youth.
OBJECTIVE: We assessed the validity and reliability of 4 self-reports to assess PAEE and time spent at moderate and vigorous intensity physical activity (MVPA) over the previous week in British young people between 4 and 17 y of age.
DESIGN: PAEE and MVPA were derived from the Children's Physical Activity Questionnaire, Youth Physical Activity Questionnaire, and Swedish Adolescent Physical Activity Questionnaire; a lifestyle score indicative of habitual activity was derived from the Child Heart and Health Study in England Questionnaire. These data were compared with criterion methods, PAEE, and MVPA derived from simultaneous measurements by doubly labeled water and accelerometry in 3 age groups: 4-5 y (n = 27), 12-13 y (n = 25), and 16-17 y (n = 24). Validity was assessed by using Spearman correlations and the Bland-Altman method, and reliability was assessed by using intraclass correlation coefficients.
RESULTS: The strength of association between questionnaire and criterion methods varied (r = 0.09 to r = 0.46). Some questionnaires were able to accurately assess group-level PAEE and MVPA for some age groups, but the error was large for individual-level estimates throughout. Reliability of the Youth Physical Activity Questionnaire and Child Heart and Health Study in England Questionnaire was good (intraclass correlation coefficient: 0.64-0.92).
CONCLUSIONS: Absolute PAEE and MVPA estimated from these self-reports were not valid on an individual level in young people, although some questionnaires appeared to rank individuals accurately. Age (the outcome of interest) and whether individual or group-level estimates are necessary will influence the best choice of self-report method when assessing physical activity in youth.

Entities:  

Mesh:

Year:  2009        PMID: 19144732     DOI: 10.3945/ajcn.2008.26739

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  87 in total

Review 1.  Physical activity questionnaires for youth: a systematic review of measurement properties.

Authors:  Mai J M Chinapaw; Lidwine B Mokkink; Mireille N M van Poppel; Willem van Mechelen; Caroline B Terwee
Journal:  Sports Med       Date:  2010-07-01       Impact factor: 11.136

2.  Predictors of Canadian physicians' prevention counseling practices.

Authors:  Erica Frank; Carolina Segura; Hui Shen; Erica Oberg
Journal:  Can J Public Health       Date:  2010 Sep-Oct

3.  Can there be a single best measure of reported physical activity?

Authors:  Richard P Troiano
Journal:  Am J Clin Nutr       Date:  2009-01-28       Impact factor: 7.045

4.  Physical activity assessment: biomarkers and self-report of activity-related energy expenditure in the WHI.

Authors:  Marian L Neuhouser; Chongzhi Di; Lesley F Tinker; Cynthia Thomson; Barbara Sternfeld; Yasmin Mossavar-Rahmani; Marcia L Stefanick; Stacy Sims; J David Curb; Michael Lamonte; Rebecca Seguin; Karen C Johnson; Ross L Prentice
Journal:  Am J Epidemiol       Date:  2013-02-22       Impact factor: 4.897

5.  Dietary intakes, sources, and determinants of free sugars amongst Lebanese children and adolescents: findings from two national surveys.

Authors:  Lamis Jomaa; Samer Hamamji; Samer Kharroubi; Marwa Diab-El-Harakeh; Fatima Al Zahraa Chokor; Lara Nasreddine
Journal:  Eur J Nutr       Date:  2021-01-02       Impact factor: 5.614

Review 6.  Practical physical activity measurement in youth: a review of contemporary approaches.

Authors:  Jerome N Rachele; Steven M McPhail; Tracy L Washington; Thomas F Cuddihy
Journal:  World J Pediatr       Date:  2012-08-12       Impact factor: 2.764

7.  Is the association between screen-based behaviour and health complaints among adolescents moderated by physical activity?

Authors:  Daniela Brindova; Zuzana Dankulincova Veselska; Daniel Klein; Zdenek Hamrik; Dagmar Sigmundova; Jitse P van Dijk; Sijmen A Reijneveld; Andrea Madarasova Geckova
Journal:  Int J Public Health       Date:  2014-12-10       Impact factor: 3.380

8.  Developing obesity prevention interventions among minority ethnic children in schools and places of worship: The DEAL (DiEt and Active Living) study.

Authors:  Maria J Maynard; Graham Baker; Emma Rawlins; Annie Anderson; Seeromanie Harding
Journal:  BMC Public Health       Date:  2009-12-21       Impact factor: 3.295

9.  Practical guide to measuring physical activity.

Authors:  Louisa G Sylvia; Emily E Bernstein; Jane L Hubbard; Leigh Keating; Ellen J Anderson
Journal:  J Acad Nutr Diet       Date:  2013-11-28       Impact factor: 4.910

10.  Validation of a maternal questionnaire on correlates of physical activity in preschool children.

Authors:  Alison M McMinn; Esther Mf van Sluijs; Nicholas C Harvey; Cyrus Cooper; Hazel M Inskip; Keith M Godfrey; Simon J Griffin
Journal:  Int J Behav Nutr Phys Act       Date:  2009-12-02       Impact factor: 6.457

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.