Literature DB >> 23170752

Comparison of older adults' steps per day using NL-1000 pedometer and two GT3X+ accelerometer filters.

Tiago V Barreira1, Robert M Brouillette, Heather C Foil, Jeffrey N Keller, Catrine Tudor-Locke.   

Abstract

The purpose of this study was to compare the steps/d derived from the ActiGraph GT3X+ using the manufacturer's default filter (DF) and low-frequency-extension filter (LFX) with those from the NL-1000 pedometer in an older adult sample. Fifteen older adults (61-82 yr) wore a GT3X+ (24 hr/day) and an NL-1000 (waking hours) for 7 d. Day was the unit of analysis (n = 86 valid days) comparing (a) GT3X+ DF and NL-1000 steps/d and (b) GT3X+ LFX and NL-1000 steps/d. DF was highly correlated with NL-1000 (r = .80), but there was a significant mean difference (-769 steps/d). LFX and NL-1000 were highly correlated (r = .90), but there also was a significant mean difference (8,140 steps/d). Percent difference and absolute percent difference between DF and NL-1000 were -7.4% and 16.0%, respectively, and for LFX and NL-1000 both were 121.9%. Regardless of filter used, GT3X+ did not provide comparable pedometer estimates of steps/d in this older adult sample.

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Year:  2012        PMID: 23170752     DOI: 10.1123/japa.21.4.402

Source DB:  PubMed          Journal:  J Aging Phys Act        ISSN: 1063-8652            Impact factor:   1.961


  13 in total

1.  Self-Selected Walking Speed is Predictive of Daily Ambulatory Activity in Older Adults.

Authors:  Addie Middleton; George D Fulk; Michael W Beets; Troy M Herter; Stacy L Fritz
Journal:  J Aging Phys Act       Date:  2015-09-15       Impact factor: 1.961

2.  Brief Report: Physical Activity, Body Mass Index and Arterial Stiffness in Children with Autism Spectrum Disorder: Preliminary Findings.

Authors:  Kevin S Heffernan; Luis Columna; Natalie Russo; Beth A Myers; Christine E Ashby; Michael L Norris; Tiago V Barreira
Journal:  J Autism Dev Disord       Date:  2018-02

3.  Step detection using multi- versus single tri-axial accelerometer-based systems.

Authors:  E Fortune; V A Lugade; S Amin; K R Kaufman
Journal:  Physiol Meas       Date:  2015-11-23       Impact factor: 2.833

4.  Repeat physical activity measurement by accelerometry among colorectal cancer patients--feasibility and minimal number of days of monitoring.

Authors:  Stephanie Skender; Petra Schrotz-King; Jürgen Böhm; Clare Abbenhardt; Biljana Gigic; Jenny Chang-Claude; Erin M Siegel; Karen Steindorf; Cornelia M Ulrich
Journal:  BMC Res Notes       Date:  2015-06-06

5.  I'd Do Anything for Research, But I Won't Do That: Interest in Pharmacological Interventions in Older Adults Enrolled in a Longitudinal Aging Study.

Authors:  Matthew Calamia; John P K Bernstein; Jeffrey N Keller
Journal:  PLoS One       Date:  2016-07-20       Impact factor: 3.240

Review 6.  A systematic literature review of reviews on techniques for physical activity measurement in adults: a DEDIPAC study.

Authors:  Kieran P Dowd; Robert Szeklicki; Marco Alessandro Minetto; Marie H Murphy; Angela Polito; Ezio Ghigo; Hidde van der Ploeg; Ulf Ekelund; Janusz Maciaszek; Rafal Stemplewski; Maciej Tomczak; Alan E Donnelly
Journal:  Int J Behav Nutr Phys Act       Date:  2018-02-08       Impact factor: 6.457

Review 7.  Accelerometer Data Collection and Processing Criteria to Assess Physical Activity and Other Outcomes: A Systematic Review and Practical Considerations.

Authors:  Jairo H Migueles; Cristina Cadenas-Sanchez; Ulf Ekelund; Christine Delisle Nyström; Jose Mora-Gonzalez; Marie Löf; Idoia Labayen; Jonatan R Ruiz; Francisco B Ortega
Journal:  Sports Med       Date:  2017-09       Impact factor: 11.136

8.  Validity of Hip and Ankle Worn Actigraph Accelerometers for Measuring Steps as a Function of Gait Speed during Steady State Walking and Continuous Turning.

Authors:  Lucian Bezuidenhout; Charlotte Thurston; Maria Hagströmer; David Moulaee Conradsson
Journal:  Sensors (Basel)       Date:  2021-05-01       Impact factor: 3.576

9.  Feasibility, reliability, and validity of a smartphone based application for the assessment of cognitive function in the elderly.

Authors:  Robert M Brouillette; Heather Foil; Stephanie Fontenot; Anthony Correro; Ray Allen; Corby K Martin; Annadora J Bruce-Keller; Jeffrey N Keller
Journal:  PLoS One       Date:  2013-06-11       Impact factor: 3.240

10.  Quality over quantity: skeletal loading intensity plays a key role in understanding the relationship between physical activity and bone density in postmenopausal women.

Authors:  Stefan I Madansingh; Che G Ngufor; Emma Fortune
Journal:  Menopause       Date:  2020-04       Impact factor: 3.310

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