Literature DB >> 20538194

Meeting U.S. Healthy People 2010 levels of physical activity: agreement of 2 measures across 2 years.

Rod K Dishman1, Cherie R Rooks, Nathaniel J Thom, Robert W Motl, Claudio R Nigg.   

Abstract

BACKGROUND: Measuring the way people vary across time in meeting recommended levels of physical activity should be a fundamental component of public health surveillance. However, we were unaware of prospective cohort studies that had examined this in a population base using convergent measures.
PURPOSE: We examined agreement between two validated measures used to estimate periodic change in the rate of meeting U.S. Healthy People 2010 guidelines for participation in moderate or vigorous physical activity.
METHODS: A cohort (N = 497) from a random, multiethnic sample of adults living in Hawaii was assessed every 6-months for 2 years starting spring 2004. Latent transition analysis classified people as meeting or not meeting the guidelines. Intra-class kappa statistics and multinomial logistic regression analysis were used to evaluate agreement.
RESULTS: Agreement for classifying stable classes of people who met or did not meet the guideline each time was substantial for vigorous activity (kappa approximately 0.65-0.70) but fair-to-moderate for moderate activity (kappa approximately 0.38-0.48). Agreement was poorer for classifying people who transitioned between meeting and not meeting the vigorous guideline (kappa approximately 0.45) or the moderate guideline (kappa approximately 0.21-0.29).
CONCLUSIONS: Rates of meeting the guidelines varied across time and were estimated differently by the two measures, especially for moderate activity. This finding illustrates an understudied problem for public health promotion. Accurate classification of change within people is necessary for determining exposure in outcome studies, personal determinants of sufficient activity, and for evaluating whether interventions are successful in sustaining increases in rates of meeting physical activity guidelines. 2010 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 20538194      PMCID: PMC2895401          DOI: 10.1016/j.annepidem.2010.04.004

Source DB:  PubMed          Journal:  Ann Epidemiol        ISSN: 1047-2797            Impact factor:   3.797


  32 in total

Review 1.  Walking and measurement.

Authors:  David R Bassett; Matthew T Mahar; David A Rowe; James R Morrow
Journal:  Med Sci Sports Exerc       Date:  2008-07       Impact factor: 5.411

2.  Bias, prevalence and kappa.

Authors:  T Byrt; J Bishop; J B Carlin
Journal:  J Clin Epidemiol       Date:  1993-05       Impact factor: 6.437

Review 3.  Physical activity and public health. A recommendation from the Centers for Disease Control and Prevention and the American College of Sports Medicine.

Authors:  R R Pate; M Pratt; S N Blair; W L Haskell; C A Macera; C Bouchard; D Buchner; W Ettinger; G W Heath; A C King
Journal:  JAMA       Date:  1995-02-01       Impact factor: 56.272

4.  A simple method to assess exercise behavior in the community.

Authors:  G Godin; R J Shephard
Journal:  Can J Appl Sport Sci       Date:  1985-09

5.  Are messages about lifestyle walking being heard? Trends in walking for all purposes in New South Wales (NSW), Australia.

Authors:  Dafna Merom; Tien Chey; Josephine Chau; Ben J Smith; Margo Barr; Adrian E Bauman
Journal:  Prev Med       Date:  2009-02-14       Impact factor: 4.018

Review 6.  Chronicle of the Institute of Medicine physical activity recommendation: how a physical activity recommendation came to be among dietary recommendations.

Authors:  George A Brooks; Nancy F Butte; William M Rand; Jean-Pierre Flatt; Benjamin Caballero
Journal:  Am J Clin Nutr       Date:  2004-05       Impact factor: 7.045

7.  Physical activity in the United States measured by accelerometer.

Authors:  Richard P Troiano; David Berrigan; Kevin W Dodd; Louise C Mâsse; Timothy Tilert; Margaret McDowell
Journal:  Med Sci Sports Exerc       Date:  2008-01       Impact factor: 5.411

8.  A simultaneous evaluation of 10 commonly used physical activity questionnaires.

Authors:  D R Jacobs; B E Ainsworth; T J Hartman; A S Leon
Journal:  Med Sci Sports Exerc       Date:  1993-01       Impact factor: 5.411

9.  Failure of post-action stages of the transtheoretical model to predict change in regular physical activity: a multiethnic cohort study.

Authors:  Rod K Dishman; Nathaniel J Thom; Cherie R Rooks; Robert W Motl; Caroline Horwath; Claudio R Nigg
Journal:  Ann Behav Med       Date:  2009-06

10.  Temporal trends in physical activity in England: the Health Survey for England 1991 to 2004.

Authors:  Emmanuel Stamatakis; Ulf Ekelund; Nicholas J Wareham
Journal:  Prev Med       Date:  2007-01-08       Impact factor: 4.018

View more
  5 in total

Review 1.  Impediments to clinical application of exercise interventions in the treatment of cardiometabolic disease.

Authors:  N John Bosomworth
Journal:  Can Fam Physician       Date:  2019-03       Impact factor: 3.275

2. 

Authors:  N John Bosomworth
Journal:  Can Fam Physician       Date:  2019-03       Impact factor: 3.275

3.  Access to Lung Transplantation in the United States: The Potential Impact of Access to a High-volume Center.

Authors:  Ernest G Chan; J W Awori Hayanga; Marie Tuft; Matthew R Morrell; Pablo G Sanchez
Journal:  Transplantation       Date:  2020-07       Impact factor: 4.939

4.  Self-regulation of exercise behavior in the TIGER study.

Authors:  Rod K Dishman; Andrew S Jackson; Molly S Bray
Journal:  Ann Behav Med       Date:  2014-08

5.  Using constructs of the transtheoretical model to predict classes of change in regular physical activity: a multi-ethnic longitudinal cohort study.

Authors:  Rod K Dishman; Robert J Vandenberg; Robert W Motl; Claudio R Nigg
Journal:  Ann Behav Med       Date:  2010-10
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.