Literature DB >> 22368222

Reliability and validity of CHAMPS self-reported sedentary-to-vigorous intensity physical activity in older adults.

Eric B Hekler1, Matthew P Buman, William L Haskell, Terry L Conway, Kelli L Cain, James F Sallis, Brian E Saelens, Lawrence D Frank, Jacqueline Kerr, Abby C King.   

Abstract

BACKGROUND: Recent research highlights the potential value of differentiating between categories of physical activity intensities as predictors of health and well-being. This study sought to assess reliability and concurrent validity of sedentary (ie, 1 METs), low-light (ie, >1 and ≤2 METs; eg, playing cards), high-light (ie, >2 and <3 METs; eg, light walking), moderate-to-vigorous physical activity (MVPA, ≥3 METs), and "total activity" (≥2 METs) from the CHAMPS survey. Further, this study explored over-reporting and double-reporting.
METHODS: CHAMPS data were gathered from the Seniors Neighborhood Quality of Life Study, an observational study of adults aged 65+ years conducted in 2 US regions.
RESULTS: Participants (N = 870) were 75.3 ± 6.8 years old, with 56% women and 71% white. The CHAMPS sedentary, low-light, high-light, total activity, and MVPA variables had acceptable test-retest reliability (ICCs 0.56-0.70). The CHAMPS high-light (ρ = 0.27), total activity (ρ = 0.34), and MVPA (ρ = 0.37) duration scales were moderately associated with accelerometry minutes of corresponding intensity, and the sedentary scale (ρ = 0.12) had a lower, but significant correlation. Results suggested that several CHAMPS items may be susceptible to over-reporting (eg, walking, housework).
CONCLUSIONS: CHAMPS items effectively measured high-light, total activity, and MVPA in seniors, but further refinement is needed for sedentary and low-light activity.

Entities:  

Mesh:

Year:  2012        PMID: 22368222      PMCID: PMC4733646          DOI: 10.1123/jpah.9.2.225

Source DB:  PubMed          Journal:  J Phys Act Health        ISSN: 1543-3080


  37 in total

1.  An evaluation of three self-report physical activity instruments for older adults.

Authors:  N D Harada; V Chiu; A C King; A L Stewart
Journal:  Med Sci Sports Exerc       Date:  2001-06       Impact factor: 5.411

2.  Measurement properties of the CHAMPS physical activity questionnaire in a sample of older Australians.

Authors:  E V Cyarto; A L Marshall; R K Dickinson; W J Brown
Journal:  J Sci Med Sport       Date:  2006-04-19       Impact factor: 4.319

3.  Amount of time spent in sedentary behaviors in the United States, 2003-2004.

Authors:  Charles E Matthews; Kong Y Chen; Patty S Freedson; Maciej S Buchowski; Bettina M Beech; Russell R Pate; Richard P Troiano
Journal:  Am J Epidemiol       Date:  2008-02-25       Impact factor: 4.897

4.  Measuring physical activity in older adults: use of the Community Health Activities Model Program for Seniors Physical Activity Questionnaire and the Yale Physical Activity Survey in three behavior change consortium studies.

Authors:  Barbara Resnick; Abby King; Deborah Riebe; Marcia Ory
Journal:  West J Nurs Res       Date:  2008-01-14       Impact factor: 1.967

5.  Physical activity assessment methodology in the Five-City Project.

Authors:  J F Sallis; W L Haskell; P D Wood; S P Fortmann; T Rogers; S N Blair; R S Paffenbarger
Journal:  Am J Epidemiol       Date:  1985-01       Impact factor: 4.897

6.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

7.  Objectively measured light-intensity physical activity is independently associated with 2-h plasma glucose.

Authors:  Genevieve N Healy; David W Dunstan; Jo Salmon; Ester Cerin; Jonathan E Shaw; Paul Z Zimmet; Neville Owen
Journal:  Diabetes Care       Date:  2007-05-01       Impact factor: 19.112

8.  Associations of leisure-time internet and computer use with overweight and obesity, physical activity and sedentary behaviors: cross-sectional study.

Authors:  Corneel Vandelanotte; Takemi Sugiyama; Paul Gardiner; Neville Owen
Journal:  J Med Internet Res       Date:  2009-07-27       Impact factor: 5.428

9.  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

10.  Age differences in the relation of perceived neighborhood environment to walking.

Authors:  Ryosuke Shigematsu; James F Sallis; Terry L Conway; Brian E Saelens; Lawrence D Frank; Kelli L Cain; James E Chapman; Abby C King
Journal:  Med Sci Sports Exerc       Date:  2009-02       Impact factor: 5.411

View more
  72 in total

1.  Design and evaluation of theory-informed technology to augment a wellness motivation intervention.

Authors:  Siobhan McMahon; Mithra Vankipuram; Eric B Hekler; Julie Fleury
Journal:  Transl Behav Med       Date:  2014-03       Impact factor: 3.046

2.  "Are You Sure?": Lapses in Self-Reported Activities Among Healthy Older Adults Reporting Online.

Authors:  Katherine V Wild; Nora Mattek; Daniel Austin; Jeffrey A Kaye
Journal:  J Appl Gerontol       Date:  2015-02-09

3.  Testing the comparative effects of physical activity advice by humans vs. computers in underserved populations: The COMPASS trial design, methods, and baseline characteristics.

Authors:  Abby C King; Ines Campero; Jylana L Sheats; Cynthia M Castro Sweet; Dulce Garcia; Aldo Chazaro; German Blanco; Michelle Hauser; Fernando Fierros; David K Ahn; Jose Diaz; Monica Done; Juan Fernandez; Timothy Bickmore
Journal:  Contemp Clin Trials       Date:  2017-07-22       Impact factor: 2.226

4.  ReadySteady: app for accelerometer-based activity monitoring and wellness-motivation feedback system for older adults.

Authors:  Mithra Vankipuram; Siobhan McMahon; Julie Fleury
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

5.  Stand and Move at Work sedentary behavior questionnaire: validity and sensitivity to change.

Authors:  Meynard John L Toledo; Sarah L Mullane; Miranda L Larouche; Sarah A Rydell; Nathan R Mitchell; Mark A Pereira; Matthew P Buman
Journal:  Ann Epidemiol       Date:  2019-01-11       Impact factor: 3.797

6.  The effects of a telehealth coping skills intervention on outcomes in chronic obstructive pulmonary disease: primary results from the INSPIRE-II study.

Authors:  James A Blumenthal; Charles F Emery; Patrick J Smith; Francis J Keefe; Karen Welty-Wolf; Stephanie Mabe; Tereza Martinu; Julie J Johnson; Michael A Babyak; Virginia F O'Hayer; Philip T Diaz; Michael Durheim; Donald Baucom; Scott M Palmer
Journal:  Psychosom Med       Date:  2014-10       Impact factor: 4.312

7.  Results of Walking in Faith: A Faith-Based Physical Activity Program for Clergy.

Authors:  Benjamin L Webb; Melissa J Bopp
Journal:  J Relig Health       Date:  2017-04

8.  Objectively measured physical activity is related to cognitive function in older adults.

Authors:  Jacqueline Kerr; Simon J Marshall; Ruth E Patterson; Catherine R Marinac; Loki Natarajan; Dori Rosenberg; Kari Wasilenko; Katie Crist
Journal:  J Am Geriatr Soc       Date:  2013-11       Impact factor: 5.562

9.  Sleep and physical activity: a cross-sectional objective profile of people with rheumatoid arthritis.

Authors:  Sean McKenna; Marie Tierney; Aoife O'Neill; Alexander Fraser; Norelee Kennedy
Journal:  Rheumatol Int       Date:  2018-03-14       Impact factor: 2.631

10.  Assessing the Effects of Interpersonal and Intrapersonal Behavior Change Strategies on Physical Activity in Older Adults: a Factorial Experiment.

Authors:  Siobhan K McMahon; Beth Lewis; J Michael Oakes; Jean F Wyman; Weihua Guan; Alexander J Rothman
Journal:  Ann Behav Med       Date:  2017-06
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.