Literature DB >> 15870643

Feasibility of using accelerometers to measure physical activity in young adolescents.

Pamela Van Coevering1, Lisa Harnack, Kathryn Schmitz, Janet E Fulton, Deborah A Galuska, Shujun Gao.   

Abstract

PURPOSE: Accelerometers may provide valid measures of physical activity, but the feasibility of using accelerometers with large groups of children is unknown. We assessed feasibility in the Eating and Activity Survey Trial (Project EAST), a study designed to develop valid tools to assess eating and physical activity patterns among middle school children.
METHODS: Two hundred eighty-two Project EAST participants in grades 6-8 wore an accelerometer (Manufacturing Technologies, Inc., Fort Walton Beach, FL) for seven consecutive days. Multiple strategies were employed to encourage compliance and return of the accelerometer: 1) staff demonstrated how to wear the device properly; 2) students were given written and verbal instructions; 3) staff visited the students twice during 7 d to remind them to wear the devices and return them on time; and 4) movie tickets were given to students who returned the accelerometers on time.
RESULTS: Data from 27 accelerometers were lost as a result of mechanical and nontechnical problems, resulting in unusable data for 8.5% of students. Days of data for the remaining 255 students were considered incomplete if the accelerometer registered less than three consecutive waking hours of zero counts. The percentage of students with complete accelerometer data for 3-7 d of data were > or = 3 d, 92%; > or = 4 d, 86%; > or = 5 d, 75%; > or = 6 d, 67%; and 7 d, 50%. Twenty-eight students (10%) returned their accelerometers late. Overweight children were significantly more likely to have 7 d of complete data than nonoverweight children.
CONCLUSION: Our findings suggest that accelerometers are acceptable to most students. However, researchers working with middle school students should carefully monitor compliance to ensure that devices are worn properly and regularly.

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Year:  2005        PMID: 15870643     DOI: 10.1249/01.mss.0000162694.66799.fe

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


  28 in total

1.  Feasibility and adherence paradigm to ecological momentary assessments in urban minority youth.

Authors:  Mariya P Shiyko; Seth Perkins; Linda Caldwell
Journal:  Psychol Assess       Date:  2017-01-12

2.  Comparing GPS, Log, Survey, and Accelerometry to Measure Physical Activity.

Authors:  Peter James; Jennifer Weissman; Jean Wolf; Karen Mumford; Cheryl K Contant; Wei-Ting Hwang; Lynne Taylor; Karen Glanz
Journal:  Am J Health Behav       Date:  2016-01

3.  Adherence to accelerometry measurement of community ambulation poststroke.

Authors:  Sharon Barak; Samuel S Wu; Yunfeng Dai; Pamela W Duncan; Andrea L Behrman
Journal:  Phys Ther       Date:  2013-09-12

4.  Physical Activity and Sedentary Behavior among US Hispanic/Latino Youth: The SOL Youth Study.

Authors:  Kelly R Evenson; Elva M Arredondo; Mercedes R Carnethon; Alan M Delamater; Linda C Gallo; Carmen R Isasi; Krista M Perreira; Samantha A Foti; Linda VAN Horn; Denise C Vidot; Daniela Sotres-Alvarez
Journal:  Med Sci Sports Exerc       Date:  2019-05       Impact factor: 5.411

5.  Joint physical activity and sedentary behavior in parent-child pairs.

Authors:  Genevieve Fridlund Dunton; Yue Liao; Estela Almanza; Michael Jerrett; Donna Spruijt-Metz; Chih-Ping Chou; Mary Ann Pentz
Journal:  Med Sci Sports Exerc       Date:  2012-08       Impact factor: 5.411

6.  A declaration of healthy dependence: the case of home care.

Authors:  Elin Palm
Journal:  Health Care Anal       Date:  2014-12

7.  Objectively measured physical activity in urban alternative high school students.

Authors:  John R Sirard; Martha Y Kubik; Jayne A Fulkerson; Chrisa Arcan
Journal:  Med Sci Sports Exerc       Date:  2008-12       Impact factor: 5.411

8.  Utility of accelerometers to measure physical activity in children attending an obesity treatment intervention.

Authors:  Wendy Robertson; Sarah Stewart-Brown; Elizabeth Wilcock; Michelle Oldfield; Margaret Thorogood
Journal:  J Obes       Date:  2010-10-03

9.  High heritability for a composite index of children's activity level measures.

Authors:  Alexis C Wood; Frühling Rijsdijk; Kimberly J Saudino; Philip Asherson; Jonna Kuntsi
Journal:  Behav Genet       Date:  2008-02-23       Impact factor: 2.805

10.  Disagreement in physical activity assessed by accelerometer and self-report in subgroups of age, gender, education and weight status.

Authors:  Sander M Slootmaker; Albertine J Schuit; Marijke Jm Chinapaw; Jacob C Seidell; Willem van Mechelen
Journal:  Int J Behav Nutr Phys Act       Date:  2009-03-25       Impact factor: 6.457

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