Literature DB >> 15570151

Comparison of two approaches to structured physical activity surveys for adolescents.

Robert G McMurray1, Kimberly B Ring, Margarita S Treuth, Gregory J Welk, Russell R Pate, Kathryn H Schmitz, Julie L Pickrel, Vivian Gonzalez, M Jaoa C A Almedia, Deborah Rohm Young, James F Sallis.   

Abstract

PURPOSE: To compare the test-retest reliability, convergent validity, and overall feasibility/ usability of activity-based (AB) and time-based (TB) approaches for obtaining self-reported moderate-to-vigorous physical activity (MVPA) from adolescents.
METHODS: Adolescents (206 females and 114 males) completed two 3-d physical activity recalls using the AB and TB surveys, which contained identical lists of physical activities. The participants wore an MTI Actigraph accelerometer for the same period.
RESULTS: The TB instrument took about 3 min longer to complete (P = 0.022). Overall 2-d test-retest correlations for MVPA were similar for the two surveys (r = 0.676 and 0.667), but the girls had higher reliability on the AB survey than the boys (girls: r = 0.713; boys: r = 0.568). The overall 3-d correlations for MVPA surveys and Actigraph counts varied by gender (girls: AB = 0.265 vs TB = 0.314; boys: AB = 0.340 vs TB = 0.277). Correlations for vigorous physical activity and Actigraph counts were higher for the AB than for the TB (r = 0.281 vs 0.162). As the interval between completing the surveys and the days being recalled increased, reliability and validity were lower, especially for the AB survey.
CONCLUSION: For both genders, either approach is acceptable for obtaining MVPA information on a single day, but the TB approach appears to be slightly favored over the AB approach for obtaining multiple days of MVPA. A 3-d recall period appears to be too long for accurate recall of MVPA information from either instrument. For both genders, the surveys overestimated activity levels; thus, self-reports should be supplemented with objective data.

Entities:  

Mesh:

Year:  2004        PMID: 15570151      PMCID: PMC2422874          DOI: 10.1249/01.mss.0000147628.78551.3b

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  22 in total

Review 1.  Measurement issues in the assessment of physical activity in children.

Authors:  G J Welk; C B Corbin; D Dale
Journal:  Res Q Exerc Sport       Date:  2000-06       Impact factor: 2.500

2.  Evaluation of methods to assess physical activity in free-living conditions.

Authors:  N Y Leenders; W M Sherman; H N Nagaraja; C L Kien
Journal:  Med Sci Sports Exerc       Date:  2001-07       Impact factor: 5.411

3.  Validation and calibration of physical activity monitors in children.

Authors:  Maurice R Puyau; Anne L Adolph; Firoz A Vohra; Nancy F Butte
Journal:  Obes Res       Date:  2002-03

4.  Validity of accelerometry for the assessment of moderate intensity physical activity in the field.

Authors:  D Hendelman; K Miller; C Baggett; E Debold; P Freedson
Journal:  Med Sci Sports Exerc       Date:  2000-09       Impact factor: 5.411

5.  Defining accelerometer thresholds for activity intensities in adolescent girls.

Authors:  Margarita S Treuth; Kathryn Schmitz; Diane J Catellier; Robert G McMurray; David M Murray; M Joao Almeida; Scott Going; James E Norman; Russell Pate
Journal:  Med Sci Sports Exerc       Date:  2004-07       Impact factor: 5.411

6.  Changes in physical activity patterns in the United States, by sex and cross-sectional age.

Authors:  C J Caspersen; M A Pereira; K M Curran
Journal:  Med Sci Sports Exerc       Date:  2000-09       Impact factor: 5.411

7.  Validity of four motion sensors in measuring moderate intensity physical activity.

Authors:  D R Bassett; B E Ainsworth; A M Swartz; S J Strath; W L O'Brien; G A King
Journal:  Med Sci Sports Exerc       Date:  2000-09       Impact factor: 5.411

8.  Changes in common activities of 3rd through 10th graders: the CHIC study.

Authors:  C B Bradley; R G McMurray; J S Harrell; S Deng
Journal:  Med Sci Sports Exerc       Date:  2000-12       Impact factor: 5.411

9.  Validity and reliability of activity measures in African-American girls for GEMS.

Authors:  Margarita S Treuth; Nanacy E Sherwood; Nancy F Butte; Barbara McClanahan; Eva Obarzanek; Ainong Zhou; Candace Ayers; Anne Adolph; Joel Jordan; David R Jacobs; James Rochon
Journal:  Med Sci Sports Exerc       Date:  2003-03       Impact factor: 5.411

10.  Compliance with physical activity guidelines: prevalence in a population of children and youth.

Authors:  Russell R Pate; Patty S Freedson; James F Sallis; Wendell C Taylor; John Sirard; Stewart G Trost; Marsha Dowda
Journal:  Ann Epidemiol       Date:  2002-07       Impact factor: 3.797

View more
  63 in total

1.  A multilevel examination of factors of the school environment and time spent in moderate to vigorous physical activity among a sample of secondary school students in grades 9-12 in Ontario, Canada.

Authors:  Erin Hobin; Scott Leatherdale; Steve Manske; Joel Dubin; Susan Elliott; Paul Veugelers
Journal:  Int J Public Health       Date:  2012-02-10       Impact factor: 3.380

Review 2.  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

3.  The association between overweight and opportunity structures in the built environment: a multi-level analysis among elementary school youth in the PLAY-ON study.

Authors:  Scott T Leatherdale; Theodora Pouliou; Dana Church; Erin Hobin
Journal:  Int J Public Health       Date:  2010-11-03       Impact factor: 3.380

4.  Sedentary activity and body composition of middle school girls: the trial of activity for adolescent girls.

Authors:  Charlotte Pratt; Larry S Webber; Chris D Baggett; Dianne Ward; Russell R Pate; David Murray; Timothy Lohman; Leslie Lytle; John P Elder
Journal:  Res Q Exerc Sport       Date:  2008-12       Impact factor: 2.500

5.  Physical activity behavior and related characteristics of highly active eighth-grade girls.

Authors:  Sharon E Taverno Ross; Marsha Dowda; Michael W Beets; Russell R Pate
Journal:  J Adolesc Health       Date:  2013-02-04       Impact factor: 5.012

6.  Age-related change in physical activity in adolescent girls.

Authors:  Russell R Pate; June Stevens; Larry S Webber; Marsha Dowda; David M Murray; Deborah R Young; Scott Going
Journal:  J Adolesc Health       Date:  2008-10-29       Impact factor: 5.012

7.  The effect of a physical activity intervention on bias in self-reported activity.

Authors:  Daniel R Taber; June Stevens; David M Murray; John P Elder; Larry S Webber; Jared B Jobe; Leslie A Lytle
Journal:  Ann Epidemiol       Date:  2009-02-20       Impact factor: 3.797

8.  Personal, behavioral, and socio-environmental correlates of physical activity among adolescent girls: cross-sectional and longitudinal associations.

Authors:  Dan J Graham; Katherine W Bauer; Sarah Friend; Daheia J Barr-Anderson; Dianne Nuemark-Sztainer
Journal:  J Phys Act Health       Date:  2012-12-17

9.  A multi-level examination of the association between older social models in the school environment and overweight and obesity among younger students.

Authors:  Scott T Leatherdale; Sophia Papadakis
Journal:  J Youth Adolesc       Date:  2009-12-16

10.  Initial insight into why physical activity may help prevent adolescent smoking uptake.

Authors:  Janet Audrain-McGovern; Daniel Rodriguez; Jocelyn Cuevas; Joseph Sass
Journal:  Drug Alcohol Depend       Date:  2013-04-09       Impact factor: 4.492

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.