Literature DB >> 24188163

Comparison of accelerometer cut points to estimate physical activity in US adults.

Kathleen B Watson1, Susan A Carlson, Dianna D Carroll, Janet E Fulton.   

Abstract

The purpose of this study was (1) to describe physical activity prevalence, categorised according to the 2008 Physical Activity Guidelines for Americans (2008 Guidelines), using different accelerometer cut points and (2) to examine physical activity prevalence patterns by reported cut points across selected characteristics. Cut points from 9 studies were used to estimate physical activity prevalence in a national adult sample (n = 6547). Estimates were stratified by validation study activity protocols used to derive cut points--ambulatory (walking/running) and lifestyle activities (e.g. gardening, housework, walking). Results showed that the prevalence of meeting the 2008 Guidelines ranged from 6.3% to 98.3% overall and was lower for cut points derived from ambulatory (median = 11.5%, range = 6.3-27.4%) compared to lifestyle (median = 77.2%, range = 60.6-98.3%) protocols. Prevalence patterns across protocols differed for age, but were similar for other characteristics. In conclusion, prevalence of meeting the 2008 Guidelines varied widely, indicating that choice of cut point had an impact on prevalence. To generate future accelerometer cut points one may consider developing cut points for demographic subgroups using a variety of lifestyle physical activities.

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Year:  2013        PMID: 24188163      PMCID: PMC4589136          DOI: 10.1080/02640414.2013.847278

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  30 in total

1.  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

2.  Estimation of energy expenditure using CSA accelerometers at hip and wrist sites.

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

3.  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

4.  Reexamination of validity and reliability of the CSA monitor in walking and running.

Authors:  Søren Brage; Niels Wedderkopp; Paul W Franks; Lars Bo Andersen; Karsten Froberg
Journal:  Med Sci Sports Exerc       Date:  2003-08       Impact factor: 5.411

Review 5.  Calibration of accelerometer output for adults.

Authors:  Charles E Matthew
Journal:  Med Sci Sports Exerc       Date:  2005-11       Impact factor: 5.411

6.  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

Review 7.  Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults--The Evidence Report. National Institutes of Health.

Authors: 
Journal:  Obes Res       Date:  1998-09

8.  Calibration of the Computer Science and Applications, Inc. accelerometer.

Authors:  P S Freedson; E Melanson; J Sirard
Journal:  Med Sci Sports Exerc       Date:  1998-05       Impact factor: 5.411

9.  Predicting walking METs and energy expenditure from speed or accelerometry.

Authors:  Anthony G Brooks; Simon M Gunn; Robert T Withers; Christopher J Gore; John L Plummer
Journal:  Med Sci Sports Exerc       Date:  2005-07       Impact factor: 5.411

10.  Effect of monitor placement and of activity setting on the MTI accelerometer output.

Authors:  Agneta Yngve; Andreas Nilsson; Michael Sjostrom; Ulf Ekelund
Journal:  Med Sci Sports Exerc       Date:  2003-02       Impact factor: 5.411

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  18 in total

1.  Higher 24-h Total Movement Activity Percentile Is Associated with Better Cognitive Performance in U.S. Older Adults.

Authors:  Erin E Dooley; Priya Palta; Dana L Wolff-Hughes; Pablo Martinez-Amezcua; John Staudenmayer; Richard P Troiano; Kelley Pettee Gabriel
Journal:  Med Sci Sports Exerc       Date:  2022-04-06

2.  Differences between accelerometer cut point methods among midlife women with cardiovascular risk markers.

Authors:  Danielle Arigo; Jacqueline A Mogle; Megan M Brown; Savannah R Roberts; Kristen Pasko; Meghan L Butryn; Danielle Symons Downs
Journal:  Menopause       Date:  2020-05       Impact factor: 2.953

3.  Influence of Accelerometer Calibration Approach on Moderate-Vigorous Physical Activity Estimates for Adults.

Authors:  Charles E Matthews; Sarah Kozey Keadle; David Berrigan; John Staudenmayer; Pedro F Saint-Maurice; Richard P Troiano; Patty S Freedson
Journal:  Med Sci Sports Exerc       Date:  2018-11       Impact factor: 5.411

4.  Association between Objectively Measured Physical Activity and Mortality in NHANES.

Authors:  Ezra I Fishman; Jeremy A Steeves; Vadim Zipunnikov; Annemarie Koster; David Berrigan; Tamara A Harris; Rachel Murphy
Journal:  Med Sci Sports Exerc       Date:  2016-07       Impact factor: 5.411

5.  Associations between neighborhood socioeconomic environment and physical activity in Cuban immigrants.

Authors:  Olivia Affuso; Chelsea R Singleton; Scott C Brown; Tatiana Perrino; Shi Huang; José Szapocznik
Journal:  SSM Popul Health       Date:  2016-12

Review 6.  Behavior Change with Fitness Technology in Sedentary Adults: A Review of the Evidence for Increasing Physical Activity.

Authors:  Alycia N Sullivan; Margie E Lachman
Journal:  Front Public Health       Date:  2017-01-11

7.  Measuring Physical Activity in Free-Living Conditions-Comparison of Three Accelerometry-Based Methods.

Authors:  Anna-Maiju Leinonen; Riikka Ahola; Janne Kulmala; Harto Hakonen; Henri Vähä-Ypyä; Karl-Heinz Herzig; Juha Auvinen; Sirkka Keinänen-Kiukaanniemi; Harri Sievänen; Tuija H Tammelin; Raija Korpelainen; Timo Jämsä
Journal:  Front Physiol       Date:  2017-01-10       Impact factor: 4.566

8.  Individualized Relative-Intensity Physical Activity Accelerometer Cut Points.

Authors:  Juned Siddique; David Aaby; Samantha E Montag; Stephen Sidney; Barbara Sternfeld; Whitney A Welch; Mercedes R Carnethon; Kiang Liu; Lynette L Craft; Kelley Pettee Gabriel; Bethany Barone Gibbs; Jared P Reis; Patty Freedson
Journal:  Med Sci Sports Exerc       Date:  2020-02

9.  The Health and Working Conditions of Women Employed in Child Care.

Authors:  Laura Linnan; Gabriela Arandia; Lori A Bateman; Amber Vaughn; Natalie Smith; Dianne Ward
Journal:  Int J Environ Res Public Health       Date:  2017-03-09       Impact factor: 3.390

10.  Leisure-time aerobic physical activity and the risk of diabetes-related mortality: An analysis of effect modification by race-ethnicity.

Authors:  William R Boyer; Samantha F Ehrlich; Scott E Crouter; James R Churilla; Eugene C Fitzhugh
Journal:  J Diabetes Complications       Date:  2020-10-15       Impact factor: 2.852

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