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Dive into the research topics where Marquell Johnson is active.

Publication


Featured researches published by Marquell Johnson.


Journal of Sports Sciences | 2015

Validity of the Actical activity monitor for assessing steps and energy expenditure during walking.

Marquell Johnson; Kristin Meltz; Kayla Hart; Molly Schmudlach; Lauren Clarkson; Kate Borman

Abstract This study examined the validity of the Actical accelerometer step count and energy expenditure (EE) functions in healthy young adults. Forty-three participants participated in study 1. Actical step counts were compared to actual steps taken during a 200 m walk around an indoor track at self-selected pace and during treadmill walking at different speeds (0.894, 1.56 and 2.01 m · s–1) for 5 min. The Actical was also compared to three pedometers. For study 2, 15 participants from study 1 walked on a treadmill at their predetermined self-selected pace for 15 min. Actical EE was compared to EE measured by indirect calorimetry. One-way analysis of variance and t-tests were used to examine differences. There were no statistical difference between Actical steps and actual steps in self-selected pace walking and during treadmill walking at moderate and fast speeds. During treadmill walking at slow speed, the Actical step counts significantly under predicted actual steps taken. For study 2, there was no statistical difference between measured EE and Actical-recorded EE. The Actical provides valid estimates of step counts at self-selected pace and walking at constant speeds of 1.56 and 2.01 m · s–1. The Actical underestimates EE of walking at constants speeds ≥1.38 m · s–1.


Digital Health | 2016

Validity of the Samsung Phone S Health application for assessing steps and energy expenditure during walking and running: Does phone placement matter?

Marquell Johnson; Jillian Turek; Chelsea Dornfeld; Jennifer Drews; Nicole Hansen

Background The emergence of mHealth and the utilization of smartphones in physical activity interventions warrant a closer examination of validity evidence for such technology. This study examined the validity of the Samsung S Health application in measuring steps and energy expenditure. Methods Twenty-nine participants (mean age 21.69 ± 1.63) participated in the study. Participants carried a Samsung smartphone in their non-dominant hand and right pocket while walking around a 200-meter track and running on a treadmill at 2.24 m∙s−1. Steps and energy expenditure from the S Health app were compared with StepWatch 3 Step Activity Monitor steps and indirect calorimetry. Results No significant differences between S Health estimated steps and energy expenditure during walking and their respective criterion measures, regardless of placement. There was also no significant difference between S Health estimated steps and the criterion measure during treadmill running, regardless of placement. There was significant differences between S Health estimated energy expenditure and the criterion during treadmill running for both placements (both p < 0.001). Conclusions The S Health application measures steps and energy expenditure accurately during self-selected pace walking regardless of placement. Placement of the phone impacts the S Health application accuracy in measuring physical activity variables during treadmill running.


Gerontology and Geriatric Medicine | 2015

Activity Monitors Step Count Accuracy in Community-Dwelling Older Adults

Marquell Johnson

Objective: To examine the step count accuracy of activity monitors in community-dwelling older adults. Method: Twenty-nine participants aged 67.70 ± 6.07 participated. Three pedometers and the Actical accelerometer step count functions were compared with actual steps taken during a 200-m walk around an indoor track and during treadmill walking at three different speeds. Results: There was no statistical difference between activity monitors step counts and actual steps during self-selected pace walking. During treadmill walking at 0.67 m∙s−1, all activity monitors step counts were significantly different from actual steps. During treadmill walking at 0.894m∙s−1, the Omron HJ-112 pedometer step counts were not significantly different from actual steps. During treadmill walking at 1.12 m∙s−1, the Yamax SW-200 pedometer steps were significantly different from actual steps. Discussion: Activity monitor selection should be deliberate when examining the walking behaviors of community-dwelling older adults, especially for those who walk at a slower pace.


Medicine and Science in Sports and Exercise | 2016

Energy Expenditure And Step Count Accuracy Of The Actigraph wGT3X-BT During Walking And Running: 1265 Board #4 June 2, 8: 00 AM - 10: 00 AM.

Marquell Johnson; Jillian Turek; Chelsea Dornfeld; Jennifer Drews; Nicole Hansen


Medicine and Science in Sports and Exercise | 2018

Comparison Of Activpal And Actigraph On Detecting Sitting Vs. Standing In Three Classroom Postures: 2896 Board #179 June 1 2

Saori Braun; Marquell Johnson; Jeffrey M. Janot; Sarah Reischel; Joshua Stewart; Chelsea Alger; Bo Casper


Medicine and Science in Sports and Exercise | 2018

Associations of Sleep Patterns with Physical Functioning and Physical Activity in Adults with Down syndrome: 1986 Board #247 May 31 3

Stamatis Agiovlasitis; Mallory Chapman; Benjamin J. Carlson; Jasmine S. Curtis; Marquell Johnson


Journal of Intellectual Disability Research | 2018

Step-counting accuracy of activity monitors in persons with Down syndrome: Step count in persons with Down syndrome

F. Bertapelli; J. S. Curtis; B. Carlson; Marquell Johnson; Ben R. Abadie; Stamatis Agiovlasitis


Medicine and Science in Sports and Exercise | 2017

A Functional Resistance Training Design Elicits Greater Exercise and Excess Post-Exercise Oxygen Consumption Energy Expenditure Compared to a Traditional Resistance Training Design.: 1566 Board #241 June 1 8

Nicholas M. Beltz; Neil McMillan; Garrett Stadler; Marquell Johnson; Jeffrey M. Janot


Medicine and Science in Sports and Exercise | 2017

Physical Activity and Physical Functioning in Persons with Down Syndrome: 3220 Board #125 June 2 3

Benjamin J. Carlson; Jasmine S. Curtis; Fabio Bertapelli; Ben R. Abadie; Marquell Johnson; Stamatis Agiovlasitis


Medicine and Science in Sports and Exercise | 2017

Device Settings Impact on StepWatch Accuracy during Running: 2287 Board #300 June 1 2

Marquell Johnson; Marina Eggen; Christine Lichtfuss; Kim Van Brunt; Katryna Williams

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Saori Braun

University of Wisconsin–Eau Claire

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Ben R. Abadie

Mississippi State University

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Chelsea Dornfeld

University of Wisconsin–Eau Claire

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Jennifer Drews

University of Wisconsin–Eau Claire

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Jillian Turek

University of Wisconsin–Eau Claire

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Kayla Hart

University of Wisconsin–Eau Claire

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Kristin Meltz

University of Wisconsin–Eau Claire

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Lauren Clarkson

University of Wisconsin–Eau Claire

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