Literature DB >> 25243708

Responsiveness to Change of Self-Report and Device-Based Physical Activity Measures in the Living Well With Diabetes Trial.

Winnie Y H Lee1, Bronwyn Kay Clark, Elisabeth Winkler, Elizabeth G Eakin, Marina M Reeves.   

Abstract

BACKGROUND: This study evaluated the responsiveness to change in physical activity of 2 self-report measures and an accelerometer in the context of a weight loss intervention trial.
METHODS: 302 participants (aged 20 to 75 years) with type 2 diabetes were randomized into telephone counseling (n = 151) or usual care (n = 151) groups. Physical activity (minutes/week) was assessed at baseline and 6-months using the Active Australia Survey (AAS), the United States National Health Interview Survey (USNHIS) walking for exercise items, and accelerometer (Actigraph GT1M; ≥1952 counts/minute). Responsiveness to change was calculated as responsiveness index (RI), Cohen's d (postscores) and Cohen's d (change-scores).
RESULTS: All instruments showed significant improvement in the intervention group (P < .001) and no significant change for usual care (P > .05). Accelerometer consistently ranked as the most responsive instrument while the least responsive was the USHNIS (responsiveness index) or AAS (Cohen's d). RIs for AAS, USNHIS and accelerometer did not differ significantly and were, respectively: 0.45 (95% CI: 0.26-0.65); 0.38 (95% CI: 0.20-0.56); and, 0.49 (95% CI: 0.23-0.74).
CONCLUSIONS: Accelerometer tended to have the highest responsiveness but differences were small and not statistically significant. Consideration of factors, such as validity, feasibility and cost, in addition to responsiveness, is important for instrument selection in future trials.

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Mesh:

Year:  2014        PMID: 25243708     DOI: 10.1123/jpah.2013-0265

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


  7 in total

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2.  Measuring change in adolescent physical activity: Responsiveness of a single item.

Authors:  Paul O'Halloran; Courtney Sullivan; Kiera Staley; Matthew Nicholson; Erica Randle; Adrian Bauman; Alex Donaldson; Nicola McNeil; Arthur Stukas; Annemarie Wright; Michael Kingsley
Journal:  PLoS One       Date:  2022-06-03       Impact factor: 3.752

3.  Responsiveness of Device-Based and Self-Report Measures of Physical Activity to Detect Behavior Change in Men Taking Part in the Football Fans in Training (FFIT) Program.

Authors:  Craig Donnachie; Kate Hunt; Nanette Mutrie; Jason M R Gill; Paul Kelly
Journal:  J Meas Phys Behav       Date:  2020-03

4.  Living well after breast cancer randomized controlled trial protocol: evaluating a telephone-delivered weight loss intervention versus usual care in women following treatment for breast cancer.

Authors:  Marina M Reeves; Caroline O Terranova; Jane M Erickson; Jennifer R Job; Denise S K Brookes; Nicole McCarthy; Ingrid J Hickman; Sheleigh P Lawler; Brianna S Fjeldsoe; Genevieve N Healy; Elisabeth A H Winkler; Monika Janda; J Lennert Veerman; Robert S Ware; Johannes B Prins; Theo Vos; Wendy Demark-Wahnefried; Elizabeth G Eakin
Journal:  BMC Cancer       Date:  2016-10-28       Impact factor: 4.430

5.  Responsiveness of the single item measure to detect change in physical activity.

Authors:  Paul O'Halloran; Michael Kingsley; Matthew Nicholson; Kiera Staley; Erica Randle; Annemarie Wright; Adrian Bauman
Journal:  PLoS One       Date:  2020-06-25       Impact factor: 3.240

6.  The Physical Activity Assessment of Adults With Type 2 Diabetes Using Accelerometer-Based Cut Points: Scoping Review.

Authors:  Ioana A Moldovan; Alexa Bragg; Anna S Nidhiry; Barbara A De La Cruz; Suzanne E Mitchell
Journal:  Interact J Med Res       Date:  2022-09-06

7.  Responsiveness of Physical Activity Measures Following Exercise Programs after Total Knee Arthroplasty.

Authors:  Gustavo J Almeida; Lauren Terhorst; James J Irrgang; G Kelley Fitzgerald; John M Jakicic; Sara R Piva
Journal:  J Exerc Sports Orthop       Date:  2017-12-06
  7 in total

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