Validation of an Electronic Pedometer for Measurement of Physical Activity in Children
|
|
- Britney Norah Farmer
- 6 years ago
- Views:
Transcription
1 Pediatric Exercise Science, 1999, 11, O 1999 Human Kinetics Publishers, Inc. Validation of an Electronic Pedometer for Measurement of Physical Activity in Children Colleen K. Kilanowski, Angela R. Consalvi, and Leonard H. Epstein Activity measurement using a uniaxial electronic pedometer was compared to a triaxial accelerometer and behavioral observation measurements for ten 7-12-year-old children studied during high intensity recreational and low intensity classroom periods. Correlations between all measures were significant for recreational and classroom periods combined, and recreational periods alone (r's >.90, p <,001). Correlations between the pedometer and accelerometer were significantly lower during classroom versus recreational activities (0.98 vs. 0.50, p <.05). This may be due in part to the uniaxial pedometer being sensitive only to vertical and not back and forward or side to side movement. The development of a cost efficient, unobtrusive, and valid method of measuring physical activity in children is a major research priority (15). Current physiological methods of measuring physical activity, such as doubly labeled water (14, 17) and heart rate monitoring (3, are accurate but limited by cost and subject intrusiveness. Behavioral observation of activity also provides an accurate method for differentiating activity levels, but it is labor intensive (11, 13). Motion sensors provide an alternative objective method for measuring physical activity. Triaxial accelerometers correlate highly with oxygen consumption, doubly labeled water, and heart rate methods for measuring physical activity (2, 3, 5), and they provide continuous measurement of activity and information on patterns of physical activity. However, they are relatively obtrusive and may not be worn during some physical activities (3). The electronic pedometer is a uniaxial motion sensor that assesses integrated physical activity in a unobtrusive and cost-effective manner (5,20). Eston and colleagues tested the vddity of triaxial accelerometers, uniaxial pedometers, and heart rate for predicting energy cost in children (5) while walking and running on a treadmill, as well as during two brief recreational activities and one seden tary =ti-vity,tkrfisultsshowed each-of-the-measures to be significantly correlated with energy expenditure, with the accelerometer to be the best predictorotexpenditure, and pedometers and heart rate similarly related to expenditure. However, there may be potentially important differences in sensitivity of the pedometer to activity The authors are with the Department of Psychology at the University of Buffalo, Buffalo, NY
2 64 - Kilanowski, Consalvi, and Epstein counts during moderate to intense physically active play versus low intensity sedentary activities, with the pedometer less sensitive to low intensity sedentary activities (5, 19). Similarly, Bouten and colleagues (2,3) have shown in adults that accelerometers have stronger relationships with higher intensity activities than with sedentary activities. Additional research on pedometer validity is needed using longer observational periods in the child's natural environment, rather than during brief, structured laboratory tasks (5). The purpose of the present study was to compare activity measurement during recreational physical activity and classroom activities in the natural environment of children using an electronic pedometer to two previously validated measures: triaxial accelerometer (5) and behavioral observation (1 3). Subjects Method Participants were seven male and three female children enrolled in a summer dayschool program for children at the University at Buffalo. This study was approved by the Human Subjects Review Board, and informed consent was obtained from each parent and child prior to their participation. Participants received $10 for their participation. Procedure Each child was studied during a normal classroom and an active recreational period. Classroom activities included desk work, computer work, and art work and recreational activities included soccer, basketball, baseball, dodge ball, and dancing. Six children were first observed during the active recreational period prior to the classroom period, and four children were observed in the opposite order. The average amount of time observed during recreational physical activity and sedentary periods were min (range, 73 to 132) and 48.6.t 7.9 min (85 to 148), respectively. Each of two observers monitored the activity level of one child during each observational period. At the beginning of each observation period, observers placed an elastic belt with velcro fasteners around a child's waist so that: the pedometer was to the left and the triaxial accelerometer was to the right of the navel at the hip, and the observer then reset the pedometer. The pedometer counts (step counts) were accumulated during each type of activity, and an observer recorded the counts at the end of each observational period. Measurement Body Mass Index (BMI) (kg/m2) was calculated based on participants' height and weight and compared to population data (8,9) to establish BMI percentiles. Pedometers collect uniaxial motion data by measuring vertical oscillations and step counts, which are accumulated until the pedometer is reset. The pedometer used was the Yamax Digiwalker SW-200 (Tokyo) electronic pedometer, which has been validated against energy cost in children (5). A similar Yarnax pedometer was demonstrated to be the most accurate for assessing distance walked in adults (1). The triaxial accelerometer is a motion sensor that collects movement data from three planes. The accelerometer used was the TriTrac-R3D Model T303 Research Ergometer (Professional Products, Reining International, Madison, WI).
3 Child Activity Levels - 65 This device collects minute by minute data by measuring motion side to side, forward and backward, and vertical, as well as a composite vector magnitude score. The TriTrac is strongly related to energy expenditure in children (5). Behavioral observation was conducted using the Children's Activity Rating Scale (CARS) (12). This scale rates the activity level of the children on five levelsstationary with no movement; stationary with movement; translocation, slow, easy movement; translocation, medium, moderate movement; and translocation, fast very intense movement-at 30-s intervals. The CARS has been validated as a measure of child activity (10,12). Reliability of behavioral observations was calculated by comparing ratings of two independent observers for 1,545 of the 1,793 observations (86% of the intervals). The percent agreement between observers was 86%. Results The average participant was years old, f 12.2 cm in height, and kg in weight. Mean BMI and BMI percentile were 19.7 f 3.3 and , respectively. Four children were above the 85 BMI percentile and were considered obese. The data for recreational and classroom activities are presented in Table 1. One-way analyses of variance (ANOVA) testing differences in methods as a function of the level of activity showed significant differences between the active and sedentary ranges of physical activity for the pedometer step counts (F[l, 91 = 33.00, p <.001), accelerometer vector magnitude (F[1, , p <.001), and behavioral observation ratings (F[1,9] = 16.13, p <.003). Correlations between each of the measures for combined recreational and classroom activity shown in Table 2 were all significant (p <.001). Similarly, correlations between each set of measures for recreational activities alone were significant (p <.001). Correlations between the measures were reduced for classroom activities, with significant differences (p <.05) observed for the correlation between pedometer and accelerometer (.98 vs. SO) Discussion This study provides additional support for the use of an electronic pedometer as a measure of physical activity when observing children engaged in a variety of mod- Table 1 Mean, Standard Deviation, and Range of the Different Measurements During the Active and Sedentary Observation Intervals Recreation activities Classroom activities -'Fype+frnea~u~e- ----XLSD--R-. - M5SD -.- R Pedometer stepcountslrnin Accelerometer vector f magnitudelmin Behavioral observation 2.08 f ratingslmin
4 66 - Kilanowski, Consalvi, and Epstein Table 2 Correlations of Measures Across All Activities, and Separately for Recreational Physical Activities and Sedentary Classroom Activities Combined Recreational Classroom Pedometer versus accelerometer 0.99 < < <.41* Pedometer versus behavioral 0.96 < < <.02 observation Accelerometer versus behavioral 0.95 < < <.07 observation *p <.05 comparing correlations between measurement during recreational and classroom periods. erate to high intensity recreational activity as well as less intense classroom activities (5,20). Pedometer, accelerometer, and behavioral observation measures were highly correlated for combined activities as well as recreational activities, equaling or exceeding r = The correlation between motion sensors during recreational activity periods indicate that the pedometer is able to measure high activity levels similar to the triaxial accelerometer and behavioral observation (5, 12). Additional research is needed with larger samples to ensure generalizability of the results to other samples, increase power of the statistical analyses, and improve stability of the correlations. The strong correlation between pedometer and accelerometer measures during physical activity suggest the pedometer may be very useful in clinical studies to provide an objective measure of activity levels and feedback on activity. Most interventions designed to increase physical activity rely on self-report diaries to assess physical activity, but self-report of physical activity is often overestimated in adults (7) and children (4). Feedback to participants is then provided based on inaccurate self-reports. Providing feedback for inaccurate levels of physical activity may inadvertently be reinforcing people for less activity than reported and possibly teaching them to be inaccurate observers of their physical activity. The availability of inexpensive and valid pedometers could improve recording of activity levels, and thus allow feedback to be contingent on true changes in physical activity. Consistent with other investigations (2, 3, 5, 19), the relationship between accelerometer and pedometer was higher during recreational activities than during the more sedentary classroom activities. This is relevant to the measurement of activity, since the activity pattern of most children is brief bursts of moderate or high intensity physical activity in combination with periods of low intensity activity (6, 16). Pedometers are designed to register activity in the vertical direction, and many classroom and sedentary behaviors are engaged in while sitting and may involve little vertical movement. Thus, it is not surprising that pedometers may be less sensitive to low intensity activities that do not involve vertical movement (5). The relative insensitivity of the pedometer to behaviors that do not involve vertical movement may produce differences in the distribution of values relating pe-
5 Child Activity Levels - 67 dometer to other objective measures of physical activity values during low intensity sedentary versus more intense physically active periods. Examination of the plots relating pedometer to energy expenditure by Eston and colleagues (5) showed greater similarity of scores and less variability for the sedentary versus physically active behaviors. In the present sample, there was over 65 times as much variance for the pedometer during recreational versus sedentary activities (372.9 vs. 5.7) and for accelerometer readings during recreational versus classroom activities (219,563.3 vs. 3,281.8). Examination of a plot of the residuals from a regression model predicting accelerometer from pedometer data in the present study showed an even spread of residuals at low values of the estimated variable. As the level of the estimated variable increased, the range of the residuals spread out, evidence of heteroscedasticity, which weakens the strength of the correlational analysis (18). A factor that may influence the decision to use a pedometer is the distribution of moderate to vigorous physical activity versus sedentary activity patterns during observation intervals. Research that varies the percentage of sedentary and physically active response intervals is needed to test whether validity will be higher when the percentage of physically active intervals to total observation time is high, and to establish minimum amounts of physical activity per observation interval that are needed for valid measurement. There are several limitations to the use of pedometers versus triaxial accelerometers. Pedometers provide only estimates of cumulative activity and do not record or store activity data by time. It is not possible to determine parameters of activity such as the duration or intensity of an exercise bout or the number of discrete exercise bouts per day. The one-dimensional nature of pedometers may be a particular problem for children, who may engage in play behaviors that involve greater diversity of movement than many repetitive aerobic activities engaged in by adults. In summary, pedometers are highly correlated with physical activity in children. They provide an inexpensive and valid method for assessing levels of physical activity for large samples and for use as a measure and source of feedback in intervention studies. Pedometers are better suited to assess higher rather than lower intensity activity and would be the choice if the goal was to assess differences in activity among moderate to high intensity behaviors. The unobtrusive size and economical cost makes the pedometer a useful objective measure of physical activity in children. References 1. Bassett, D.R., B.E. Ainsworth, S.R. Leggett, C.A. Mathien, J.A. Main, D.C. Hunter, and G.E. Duncan. Accuracy of five electronic pedometers for measuring distance walked. Med. Sci. Sports Exerc. 28: , Bouten, C.V., W.P.H.G. Verboeket-Van de Venne, K.R. Westerterp, M. Verduin, and J;D;-Janssert.-BailypkysicaLactivi~son between movement reg- -- istration and doubly labeled water. J. Appl. Physiol. 8 1: , Bouten, C.V., K.A. Westerterp, M. Verduin, and J.D. Jaussen. Assessment of energy expenditure for physical activity using a triaxial accelerometer. Med. Sci. Sports Exerc. 26: , Coleman, K.J., B.E. Saelens, M.D. Wiedrich-Smith, J.D. Finn, and L.H. Epstein. Relationships between Tritrac-R3D vectors, heart rate and self-report in obese children. Med. Sci. Sports Exerc. 29: , 1997.
6 68 - Kilanowski, Consalvi, and Epstein 5. Eston, R.G., A.V. Rowlands, and D.K. Ingledew. Validity of heart rate, pedometry, and accelerometry for predicting the energy cost of children's activities. J. Appl. Physiol. 84: , Gilliam, T.B., P.S. Freedson, D.L. Geenen, and B. Shahraray. Physical activity patterns determined by heart rate monitoring in 6-7-year-old children. Med. Sci. Sports Exerc. 13:65-67, Lichtman, S.W., K. Pisarska, E.R. Berman, M. Pestone, H. Dowling, E. Offenbacher, H. Weisel, S. Heshka, D.W. Matthews, and S.B. Heymsfield. Discrepancy between self-reported and actual caloric intake in obese subjects. N. Engl. J. Med. 327: , Must, A,, G.E. Dallal, and W.H. Dietz. Reference data for obesity: 85th and 95th percentiles of body mass index (wtlht7-a correction. Am. J. Clin. Nutr. 54:773, Must, A., G.E. Dallal, and W.H. Dietz. Reference data for obesity: 85th and 95th percentiles of body mass index (wt/ht2) and triceps skinfold thickness. Am. J. Clin. Nutr. 53: , Noland, M., F. Danner, K. DeWalt, M. McFadden, and J.M. Kotchen. The measurement of physical activity in young children. Res. Q. Exerc. Sport. 61: , Pate, R.R. Physical activity assessment in children and adolescents. Crit. Rev. Food Sci. Nutr. 33: , Puhl, J., K. Greaves, T. Baranowski, D. Gruben. and D. Seale. Descriptions and calibration of a Children's Activity Rating Scale (CARS). Res. Q. Exerc. Sport. 61: , Puhl, J., K. Greaves, M. Hoyt, and T. Baranowski. Children's activity rating scale (CARS): Description and calibration. Res. Q. Exerc. Sport. 61:26-36, Ravussin, E., I.T. Harper, R. Rising, and C. Bogardus. Energy expenditure by doubly labeled water: Validation in lean and obese subjects. Am. J. Physiol. 261:E , Rowlands, A.V., R.G. Eston, and D.K. Ingledew. Measurement of physical activity in children with particular reference to the use of heart rate and pedometry. Sports Medicine. 24: , Sallo, M., and R. Silla. Physical activity with moderate to vigorous intensity in preschool and first-grade schoolchildren. Ped. Exerc. Sci. 4:44-54, Schoeller, D.A., and P.B. Taylor. Precision of the doubly labeled water method using the two-point calculation. Hum. Nut,: Clin. Nutr. 41C: , Tabachnick, B.G., and L.S. Fidell. Using Multivariate Statistics (2nd ed.). New York: HarperCollins, Welk, G.J., and C.B. Corbin. The validity of the TriTrac-R3D Activity Monitor for the assessment of physical activity in children. Res. Q. Exerc. Sport. 66:l-8, Weston, A.T., R. Petosa, and R.R. Pate. Validation of an instrument for measurement of physical activity in youth. Med. Sci. Sport Exerc. 29: , Acknowledgments This research is supported by grants HD and HD awarded to the third author. Appreciation is expressed to Drs. Cheri Sharipo and William Pelham of the Summer Treatment Program for access to the children, Seana Murphy for behavioral observation data collection, and Rocco Paluch for help with data analysis.
Pedometer-Determined Physical Activity Levels of Youth
Journal of Physical Activity and Health, 2005, 2, 159-168 2005 Human Kinetics Publishers, Inc. Pedometer-Determined Physical Activity Levels of Youth Guy C. Le Masurier, Aaron Beighle, Charles B. Corbin,
More informationPedometers: Answers to FAQs from Teachers
Pedometers: Answers to FAQs from Teachers Cuddihy, Thomas F; Pangrazi, Robert P; Tomson, L Michaud. Journal of Physical Education, Recreation & Dance 76. 2 (Feb 2005): 36-40,55. Abstract In Japan, pedometers
More informationEffects of Age and Body Mass Index on Accuracy of Simple Moderate Vigorous Physical Activity Monitor Under Controlled Condition
Received: May., 011 Accepted: Jul. 8, 011 Published online: Jul. 5, 011 Original Article Effects of Age and Body Mass Index on Accuracy of Simple Moderate Vigorous Physical Activity Monitor Under Controlled
More informationEffects of Placement, Attachment, and Weight Classification on Pedometer Accuracy
Brigham Young University BYU ScholarsArchive All Faculty Publications 2007-10-01 Effects of Placement, Attachment, and Weight Classification on Pedometer Accuracy Susan V. Graser William J. Vincent bill_vincent@byu.edu
More informationCHILDREN S PEDOMETER-DETERMINED PHYSICAL ACTIVITY DURING SCHOOL-TIME AND LEISURE-TIME
Original Article CHILDREN S PEDOMETER-DETERMINED PHYSICAL ACTIVITY DURING SCHOOL-TIME AND LEISURE-TIME Charlotte A. Hardman 1, Pauline J. Horne 2, Ann V. Rowlands 3 1 Department of Experimental Psychology,
More informationTitle: Agreement between pedometer and accelerometer in measuring physical activity in overweight and obese pregnant women
Author's response to reviews Title: Agreement between pedometer and accelerometer in measuring physical activity in overweight and obese pregnant women Authors: Tarja I Kinnunen (tarja.kinnunen@ncl.ac.uk)
More informationConvergent Validity of 3 Low Cost Motion Sensors With the ActiGraph Accelerometer
Journal of Physical Activity and Health, 2010, 7, 662-670 2010 Human Kinetics, Inc. Convergent Validity of 3 Low Cost Motion Sensors With the ActiGraph Accelerometer James J. McClain, Teresa L. Hart, Renee
More informationConvergent Validity of a Piezoelectric Pedometer and an Omnidirectional Accelerometer for Measuring Children s Physical Activity
Pediatric Exercise Science, 2011, 23, 399-410 2011 Human Kinetics, Inc. Convergent Validity of a Piezoelectric Pedometer and an Omnidirectional Accelerometer for Measuring Children s Physical Activity
More informationProcedia - Social and Behavioral Sciences 46 ( 2012 ) WCES 2012
Available online at www.sciencedirect.com Procedia - Social and Behavioral Sciences 46 ( 2012 ) 4708 4712 WCES 2012 Differences in physical activity levels in 8-10 year-old girls who attend physical education
More informationValidity of the Actical Accelerometer Step-Count Function in Children
Pediatric Exercise Science, 2011, 23, 355-365 2011 Human Kinetics, Inc. Validity of the Actical Accelerometer Step-Count Function in Children Richard R. Rosenkranz Kansas State University, University of
More informationUsing Accelerometry: Methods Employed in NHANES
Using Accelerometry: Methods Employed in NHANES Richard Troiano, Ph.D. David Berrigan, Ph.D. National Cancer Institute Overview NHANES Accelerometry Accelerometry Analytic Issues Decisions and data cleaning
More informationmeasures Second generation accelerometers
Accelerometer issues SINGLE-SITE PLACEMENT; waist placement -> PA underestimate during upper limb movement, standing, vertical activity (i.e., climbing stairs, uphill walking), pushing or pulling objects,
More informationValidation of a Step Test in Children Ages 7-11
Validation of a Step Test in Children Ages 7-11 Emilene Clark Aurora Fry Colleen Smith Tonya Thomas Primary Advisor: Jim Farris, PT, PhD April 20, 2011 Background Exercise Testing Maximal Testing Sub-maximal
More informationComparisons of Accelerometer and Pedometer Determined Steps in Free Living Samples
Journal of Physical Activity and Health, 2011, 8, 390-397 2011 Human Kinetics, Inc. Comparisons of Accelerometer and Pedometer Determined Steps in Free Living Samples Timothy K. Behrens and Mary K. Dinger
More informationThis study investigated the amount of physical activity that occurred during
Abstract This study investigated the amount of physical activity that occurred during work and total waking hours in a sample of New Zealand professional office workers. Data were collected over three
More informationExercise Energy Expenditure Estimation Based on Acceleration Data Using the Linear Mixed Model
Exercise Energy Expenditure Estimation Based on Acceleration Data Using the Linear Mixed Model Eija Haapalainen 1, Perttu Laurinen 1, Pekka Siirtola 1, Juha Röning 1, Hannu Kinnunen 2, Heidi Jurvelin 2
More informationThe estimation of energy expenditure (EE) is of interest
Estimation of energy expenditure using CSA accelerometers at hip and wrist sites ANN M. SWARTZ, SCOTT J. STRATH, DAVID R. BASSETT, JR., WILLIAM L. O BRIEN, GEORGE A. KING, and BARBARA E. AINSWORTH Department
More informationJEPonline Journal of Exercise Physiologyonline
Walking Technique and Estimated VO 2 max Values 21 JEPonline Journal of Exercise Physiologyonline Official Journal of The American Society of Exercise Physiologists (ASEP) ISSN 1097-9751 An International
More informationValidation of Omron Pedometers Using MTI Accelerometers for Use with Children
Original Research Validation of Omron Pedometers Using MTI Accelerometers for Use with Children BRADLEY P. PETERS, KATE A. HEELAN, and BRYCE ABBEY Health, Physical Education, Recreation, and Leisure Studies
More informationEvaluation of a commercially available
Loughborough University Institutional Repository Evaluation of a commercially available pedometer used to promote physical activity as part of a national programme This item was submitted to Loughborough
More informationAnaerobic and aerobic contributions to 800 m and 8 km season bests
Short Communication Anaerobic and aerobic contributions to 8 m and 8 km season bests Julia C. Blumkaitis, Christopher L. Sandefur, Christopher A. Fahs, Lindy M. Rossow Objective: Both anaerobic and aerobic
More informationIncreasing children s physical activity: a peer modelling, rewards and pedometer-based intervention
(2009) 63, 191 198 & 2009 Macmillan Publishers Limited All rights reserved 0954-3007/09 $32.00 www.nature.com/ejcn ORIGINAL ARTICLE : a peer modelling, rewards and pedometer-based intervention PJ Horne
More informationSandra Nutter, MPH James Sallis, PhD Gregory J Norman, PhD Sherry Ryan, PhD Kevin Patrick, MD, MS
Objectively Measured Environmental Correlates of Adolescent Physical Activity Sandra Nutter, MPH James Sallis, PhD Gregory J Norman, PhD Sherry Ryan, PhD Kevin Patrick, MD, MS San Diego State University
More informationINFLUENCE OF PEDOMETER TILT ANGLE ON STEP COUNTING VALIDITY DURING CONTROLLED TREADMILL WALKING TRIALS. Melissa Dock
INFLUENCE OF PEDOMETER TILT ANGLE ON STEP COUNTING VALIDITY DURING CONTROLLED TREADMILL WALKING TRIALS by Melissa Dock A thesis submitted in partial fulfillment of the requirements for the degree of Master
More informationThe Relationship Between Pedometer Step Counts and Estimated VO 2. Max as Determined by a Submaximal Fitness Test in Adolescents
Pediatric Exercise Science, 2008, 20, 273-284 2008 Human Kinetics, Inc. The Relationship Between Pedometer Step Counts and Estimated VO 2 Max as Determined by a Submaximal Fitness Test in Adolescents David
More informationUsing Hexoskin Wearable Technology to Obtain Body Metrics During Trail Hiking
Technical Note Using Hexoskin Wearable Technology to Obtain Body Metrics During Trail Hiking JEFF MONTES 1, TORI M. STONE 1, JACOB W. MANNING 2, DAMON MCCUNE 1, DEBRA K. TACAD 1, JOHN C. YOUNG 1, MARK
More informationVALIDATION OF THE PHYSICAL ACTIVITY INDEX (PAI) AS A MEASURE OF TOTAL ACTIVITY LOAD AND TOTAL KILOCALORIE EXPENDITURE
VALIDATION OF THE PHYSICAL ACTIVITY INDEX (PAI) AS A MEASURE OF TOTAL ACTIVITY LOAD AND TOTAL KILOCALORIE EXPENDITURE DURING SUBMAXIMAL TREADMILL WALKING by Kimberly Anne Weary-Smith B.S. Slippery Rock
More informationMeasuring physical activity in youth settings: Considerations for instrument selection
Measuring physical activity in youth settings: Considerations for instrument selection By: Benjamin Hickerson Hickerson, B. (2011). Measuring physical activity in youth settings: Considerations for instrument
More informationFITNESSGRAM Scorecard (for Males , and Adults 18+) Females see last pages
FITNESSGRAM Scorecard (for Males 14-17+, and Adults 18+) Females see last pages Name: Date: Age: Weight Health Weight: Height: lbs inches Inches 2 : BMI: = (lbs x 703) / inches 2 Skinfold Measures See:
More informationMedicine. Cadence Feedback With ECE PEDO to Monitor Physical Activity Intensity. A Pilot Study. Fusun Ardic, MD and Esra Göcer, MD
Medicine OBSERVATIONAL STUDY Cadence Feedback With ECE PEDO to Monitor Physical Activity Intensity A Pilot Study Fusun Ardic, MD and Esra Göcer, MD Abstract: The purpose of this study was to examine the
More informationHHS Public Access Author manuscript Int J Cardiol. Author manuscript; available in PMC 2016 April 15.
FITBIT : AN ACCURATE AND RELIABLE DEVICE FOR WIRELESS PHYSICAL ACTIVITY TRACKING Keith M. Diaz 1, David J. Krupka 1, Melinda J Chang 1, James Peacock 1, Yao Ma 2, Jeff Goldsmith 2, Joseph E. Schwartz 1,
More informationChildrenʹs Step Counts on Weekend, Physical Education, and Non Physical Education Days
The College at Brockport: State University of New York Digital Commons @Brockport Kinesiology, Sport Studies and Physical Education Faculty Publications Kinesiology, Sport Studies and Physical Education
More informationTriaxial Accelerometry for Assessment of Physical Activity in Young Children
Triaxial Accelerometry for Assessment of Physical Activity in Young Children Chiaki Tanaka,* Shigeho Tanaka, Junko Kawahara, and Taishi Midorikawa Received for review July 3, 2006. Accepted in final form
More informationAccurate assessment of physical activity (PA) in a
Comparison of the ActiGraph 7164 and the ActiGraph GT1M during Self-Paced Locomotion SARAH L. KOZEY 1, JOHN W. STAUDENMAYER 2, RICHARD P. TROIANO 3, and PATTY S. FREEDSON 1 1 Department of Kinesiology,
More informationPresence and duration of reactivity to pedometers in adults
Loughborough University Institutional Repository Presence and duration of reactivity to pedometers in adults This item was submitted to Loughborough University's Institutional Repository by the/an author.
More informationaccelerometer for running, race walking, and
BrJt Sports Med 1997;31:235-239 Exercise Science and Physical Education, Arizona State University, Tempe, AZ 85287-0701, USA P D Swan Kinesiology, University of Colorado, Boulder, Colorado, USA W C Byrnes
More informationUSING WIRELESS PEDOMETERS TO MEASURE CHILDREN S PHYSICAL ACTIVITY: HOW RELIABLE IS THE FITBIT ZIP TM?
USING WIRELESS PEDOMETERS TO MEASURE CHILDREN S PHYSICAL ACTIVITY: HOW RELIABLE IS THE FITBIT ZIP TM? Tingting Xu 1, Erik Jon Byker 2*, and Monica Rae Gonzales 3 1 Stephen F. Austin State University, Nacogdoches,
More informationPerceptions of the Physical Environment Surrounding Schools & Physical Activity among Low-income, Urban, African American Adolescent Girls
Perceptions of the Physical Environment Surrounding Schools & Physical Activity among Low-income, Urban, African American Adolescent Girls Erin Hager, PhD Candice Gormley, BS Laura Latta, MHS M. Reese
More informationIn 1996 the Surgeon General s report on Physical Activity. Validity of four motion sensors in measuring moderate intensity physical activity
Validity of four motion sensors in measuring moderate intensity physical activity DAVID R. BASSETT, JR., BARBARA E. AINSWORTH, ANN M. SWARTZ, SCOTT J. STRATH, WILLIAM L. O BRIEN, and GEORGE A. KING Department
More informationValidity of Four Activity Monitors during Controlled and Free-Living Conditions
Illinois State University ISU ReD: Research and edata Theses and Dissertations 8-27-2013 Validity of Four Activity Monitors during Controlled and Free-Living Conditions Joey Lee Illinois State University,
More informationINTERACTION OF STEP LENGTH AND STEP RATE DURING SPRINT RUNNING
INTERACTION OF STEP LENGTH AND STEP RATE DURING SPRINT RUNNING Joseph P. Hunter 1, Robert N. Marshall 1,, and Peter J. McNair 3 1 Department of Sport and Exercise Science, The University of Auckland, Auckland,
More informationPhysical activity during recess outdoors and indoors among urban public school students, St. Louis, Missouri,
Washington University School of Medicine Digital Commons@Becker Open Access Publications 2013 Physical activity during recess outdoors and indoors among urban public school students, St. Louis, Missouri,
More informationInvestigating the Validity of the MVPA Feature on the New Lifestyles 1000 Pedometer in Children with Visual Impairments. Killeen Pritchard.
Investigating the Validity of the MVPA Feature on the New Lifestyles 1000 Pedometer in Children with Visual Impairments by Killeen Pritchard A Thesis Submitted in Partial Fulfillment of the Requirements
More informationReliability of Scores From Physical Activity Monitors in Adults With Multiple Sclerosis
ADAPTED PHYSICAL ACTIVITY QUARTERLY, 2007, 24, 245-253 2007 Human Kinetics, Inc. Reliability of Scores From Physical Activity Monitors in Adults With Multiple Sclerosis Robert W. Motl, Weimo Zhu, Youngsik
More informationThe physical demands of Super 14 rugby union
Available online at www.sciencedirect.com Journal of Science and Medicine in Sport 14 (2011) 259 263 Original research The physical demands of Super 14 rugby union Damien Austin a,b,, Tim Gabbett a,c,
More informationThe Effects of Game Size on the Physical Activity Levels and Ball Touches of Elementary School Children in Physical Education
ScholarWorks Kinesiology Faculty Publications and Presentations Department of Kinesiology 10-7-2013 The Effects of Game Size on the Physical Activity Levels and Ball Touches of Elementary School Children
More informationReliability and validity of a physical activity questionnaire in children
International Journal of Food Sciences and Nutrition, September 2012; 63(6): 637 644 Reliability and validity of a physical activity questionnaire in children CARINE PLATAT & AMJAD JARRAR Department of
More informationTHE EFFECT OF LEG LENGTH AND STRIDE FREQUENCY ON THE RELIABILITY AND VALIDITY OF ACCELEROMETER DATA
THE EFFECT OF LEG LENGTH AND STRIDE FREQUENCY ON THE RELIABILITY AND VALIDITY OF ACCELEROMETER DATA A Thesis Submitted to the College of Graduate Studies and Research In Partial Fulfillment of the Requirements
More informationWhat do pedometer counts represent? A comparison between pedometer data and data from four different questionnaires
Public Health Nutrition: 12(1), 74 81 doi:10.1017/s1368980008001973 What do pedometer counts represent? A comparison between pedometer data and data from four different questionnaires Katrien A De Cocker*,
More informationVALIDATION OF HEAT FLUX TECHNOLOGY TO ASSESS ENERGY EXPENDITURE DURING EXERCISE. Erin L. Thomas
VALIDATION OF HEAT FLUX TECHNOLOGY TO ASSESS ENERGY EXPENDITURE DURING EXERCISE by Erin L. Thomas Bachelor of Science in Fitness/Wellness, University of Rhode Island, 2000 Masters of Science in Exercise
More informationAn Examination of the Effects of a Curriculum Based Pedometer Program in Two Age Groups: Adults and Pre-Adolescent Children
1 of 5 5/5/2010 1:38 PM Home Current Issue Editorial Board Instructions for Authors Contact Lethbridge Undergraduate Research Journal ISSN 1718-8482 An Examination of the Effects of a Curriculum Based
More informationEffect of walking speed and placement position interactions in determining the accuracy of various newer pedometers
Available online at www.sciencedirect.com ScienceDirect Journal of Exercise Science & Fitness 12 (214) 31e37 Original article Effect of walking speed and placement position interactions in determining
More informationThe Contribution of Recess to Children s School-Day Physical Activity
Journal of Physical Activity and Health, 2012, 9, 442-448 2012 Human Kinetics, Inc. The Contribution of Recess to Children s School-Day Physical Activity Heather Erwin, Mark Abel, Aaron Beighle, Melody
More informationPhysical Activity monitors: Limitations to measure physical activity in the free-living environment
Physical Activity monitors: Limitations to measure physical activity in the free-living Monitores de Actividad Física: limitaciones para medir la actividad física en la vida cotidiana Yuri Feito 1 Resumen
More informationUsing Pedometers in Physical Education Teacher Education (PETE) Programs
Brigham Young University BYU ScholarsArchive All Faculty Publications 2011 Using Pedometers in Physical Education Teacher Education (PETE) Programs Robert Christenson David C. Barney Brigham Young University,
More informationWalkable Communities and Adolescent Weight
Walkable Communities and Adolescent Weight Sandy Slater, PhD Assistant Professor, University of Illinois at Chicago, School of Public Health Research Scientist, UIC Institute for Health Research and Policy
More informationActivity profiles in adolescent netball: A combination of global positioning system technology and time-motion analysis
Proceeding Asia Pacific Conference on Performance Analysis of Sport, 21-24 April 2014. Langkawi, Malaysia Activity profiles in adolescent netball: A combination of global positioning system technology
More informationThe use of pedometers for monitoring physical activity in children and adolescents: measurement considerations
Loughborough University Institutional Repository The use of pedometers for monitoring physical activity in children and adolescents: measurement considerations This item was submitted to Loughborough University's
More informationOpportunities for youth physical activity promotion: An examination of youth summer camps
Opportunities for youth physical activity promotion: An examination of youth summer camps By: Benjamin D. Hickerson and Karla A. Henderson. Hickerson, B., & Henderson, K. A. (2014). Opportunities for youth
More informationVALIDITY OF SELECTED CARDIOVASCULAR FIELD-BASED TEST AMONG MALAYSIAN HEALTHY FEMALE ADULT. S. H. Azmi 1,*, and N. Sulaiman 2
Journal of Fundamental and Applied Sciences ISSN 1112-9867 Research Article Special Issue Available online at http://www.jfas.info VALIDITY OF SELECTED CARDIOVASCULAR FIELD-BASED TEST AMONG MALAYSIAN HEALTHY
More informationArticle published in: ACSM s Medicine & Science in Sports & Exercise Vol. 27, No. 4, April 1995
Article published in: ACSM s Medicine & Science in Sports & Exercise Vol. 7, No. 4, April 1995 ENERGY EXPENDITURE DURING SUBMAXIMAL WALKING WITH EXERSTRIDERS Carol D. Rodgers, Jaci L. VanHeest, and Candice
More informationTime-motion and heart-rate characteristics of adolescent female foil fencers
Proceeding Asia Pacific Conference on Performance Analysis of Sport, 21-24 April 2014. Langkawi, Malaysia Time-motion and heart-rate characteristics of adolescent female foil fencers MATTHEW JAMES WYLDE
More informationCOVER SHEET. This is the author version of article published as:
COVER SHEET This is the author version of article published as: Tudor-Locke, Catrine and Pangrazi, Robert P. and Corbin, Charles B. and Rutherford, William J. and Vincent, Susan D. and Raustorp, Anders
More informationGrowing Healthy Families: Family Use of Pedometers to Increase Physical Activity and Slow the Rate of Obesity
Growing Healthy Families: Family Use of Pedometers to Increase Physical Activity and Slow the Rate of Obesity Brenda L. Rooney, PhD; Lisa R. Gritt; Sarah J. Havens, BS; Michelle A. Mathiason, MS; Elizabeth
More informationObjective Physical Activity Monitoring for Health-Related Research: A Discussion of Methods, Deployments, and Data Presentations
Objective Physical Activity Monitoring for Health-Related Research: A Discussion of Methods, Deployments, and Data Presentations John M. Schuna Jr., PhD School of Biological and Population Health Sciences
More informationTHE VAILDITY OF PROXY REPORT ON KINERGARTEN CHILDREN S PHYSICAL ACTIVITY IN HONG KONG AU YUNG CHING
1 THE VAILDITY OF PROXY REPORT ON KINERGARTEN CHILDREN S PHYSICAL ACTIVITY IN HONG KONG BY AU YUNG CHING 07005725 AN HONOURS PROJECT SUBMITTED IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF
More informationMonitoring of performance an training in rowers
Monitoring of performance an training in rowers Jaak Jürimäe Demands of the Sport High maximal oxygen consumption (VO 2max ); Ability to perform at a high percentage of VO 2max for the duration of event;
More informationComparison of pedometer and accelerometer measures of physical activity during preschool time on 3- to 5-year-old children
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 REGULAR ARTICLE Comparison of pedometer and accelerometer
More informationImpact of a Pilot Walking School Bus Intervention on Children s Pedestrian Safety Behaviors
Impact of a Pilot Walking School Bus Intervention on Children s Pedestrian Safety Behaviors Jason A. Mendoza, MD, MPH Assistant Professor of Pediatrics USDA/ARS Children s Nutrition Research Center, Academic
More informationImpact of Pedometer Use and Self-Regulation Strategies on Junior High School Physical. Education Students Daily Step Counts
Page 1 of 24 Journal of Physical Activity and Health Human Kinetics, Inc. and Self-Regulation Strategies on Junior High School Physical Education Students Daily Step Counts Jane M. Shimon, Ed.D., Boise
More informationROSE-HULMAN INSTITUTE OF TECHNOLOGY Department of Mechanical Engineering. Mini-project 3 Tennis ball launcher
Mini-project 3 Tennis ball launcher Mini-Project 3 requires you to use MATLAB to model the trajectory of a tennis ball being shot from a tennis ball launcher to a player. The tennis ball trajectory model
More informationFebruary Funded by NIEHS Grant #P50ES RAND Center for Population Health and Health Disparities
Urban Use and Physical Activity Deborah Cohen, Thom McKenzie, Amber Sehgal, Stephanie Williamson, Daniela Golinelli, Multi-Cultural Area Health Education Center (MAHEC) Funded by NIEHS Grant #P50ES012383
More informationMarathon performance in relation to body fat percentage and training indices in recreational male runners
Zurich Open Repository and Archive University of Zurich Main Library Strickhofstrasse 39 CH-8057 Zurich www.zora.uzh.ch Year: 2013 Marathon performance in relation to body fat percentage and training indices
More informationThe role of fitness testing in the evaluation of primary school running programmes
The role of fitness testing in the evaluation of primary school running programmes Making Strides in School Symposium National Centre for Sport and Exercise Medicine 7 th September 2016 Prof. Stuart Fairclough
More informationImpact of Pedometer Use and Self-Regulation Strategies on Junior High School Physical Education Students' Daily Step Counts
Boise State University ScholarWorks Kinesiology Faculty Publications and Presentations Department of Kinesiology 3-1-2009 Impact of Pedometer Use and Self-Regulation Strategies on Junior High School Physical
More informationAchieving 10,000 steps: A comparison of public transport users and drivers in a University setting
Title page Achieving 10,000 steps: A comparison of public transport users and drivers in a University setting Karen Villanueva Billie Giles-Corti Gavin McCormack School of Population Health, The University
More informationAccuracy of a Pedometer and an Accelerometer in Women with Obesity
The Open Obesity Journal, 2012, 4, 11-17 11 Open Access Accuracy of a Pedometer and an Accelerometer in Women with Obesity Malin Wiklund *, Åsa Cider and Monika Fagevik Olsén Department of Physiotherapy
More informationComparing Garmin Forerunner 405CX GGP and Nike + ipod to Accurately Measure Energy Expenditure, Distance, and Speed of Overground Running
Cleveland State University EngagedScholarship@CSU ETD Archive 2010 Comparing Garmin Forerunner 405CX GGP and Nike + ipod to Accurately Measure Energy Expenditure, Distance, and Speed of Overground Running
More informationBODY FORM INFLUENCES ON THE DRAG EXPERIENCED BY JUNIOR SWIMMERS. Australia, Perth, Australia
1 BODY FORM INFLUENCES ON THE DRAG EXPERIENCED BY JUNIOR SWIMMERS Andrew Lyttle 1, Nat Benjanuvatra 2, Brian A Blanksby 2, Bruce C Elliott 2 1 Western Australian Institute of Sport, Perth, Australia 2
More informationMobility Detection Using Everyday GSM Traces
Mobility Detection Using Everyday GSM Traces Timothy Sohn et al Philip Cootey pcootey@wpi.edu (03/22/2011) Mobility Detection High level activity discerned from course Grained GSM Data provides immediate
More informationAPPLICATION OF THREE DIMENSIONAL ACCELEROMETRY TO HUMAN MOTION ANALYSIS
APPLICATION OF THREE DIMENSIONAL ACCELEROMETRY TO HUMAN MOTION ANALYSIS INTRODUCTION Ken'ichi Egawa, T. Tsuboi, T. Satoh, and M. Miyazaki Graduate School of Human Sciences, Waseda University Three dimensional
More informationReview Article Review of Prediction Models to Estimate Activity-Related Energy Expenditure in Children and Adolescents
International Journal of Pediatrics Volume 2010, Article ID 489304, 14 pages doi:10.1155/2010/489304 Review Article Review of Prediction Models to Estimate Activity-Related Energy Expenditure in Children
More informationHow Do You Swing? You should be working with new lab partners starting with this lab.
You should be working with new lab partners starting with this lab. Exploration: Swinging your arms and legs back and forth Discuss and try out the following questions within your lab group. After you
More informationValidation and Comparison of Two Ankle- Mounted and Two Waist-Mounted Electronic Pedometers
University of Tennessee, Knoxville Trace: Tennessee Research and Creative Exchange Masters Theses Graduate School 8-2004 Validation and Comparison of Two Ankle- Mounted and Two Waist-Mounted Electronic
More informationConvergent Validity of Pedometer and Accelerometer Estimates of Moderate-to-Vigorous Physical Activity of Youth
Journal of Physical Activity and Health, 2011, 8(Suppl 2), S295 -S305 2011 Human Kinetics, Inc. Convergent Validity of Pedometer and Accelerometer Estimates of Moderate-to-Vigorous Physical Activity of
More informationIs lung capacity affected by smoking, sport, height or gender. Table of contents
Sample project This Maths Studies project has been graded by a moderator. As you read through it, you will see comments from the moderator in boxes like this: At the end of the sample project is a summary
More informationRedacted for Privacy
AN ABSTRACT OF THE THESIS OF Heidi M. Wegis for the degree of Master of Science in Exercise and Sports Science presented on February 2, 2005. Title: Physical Education's Contribution to the Total Daily
More informationChanges in a Top-Level Soccer Referee s Training, Match Activities, and Physiology Over an 8-Year Period: A Case Study
Case Study International Journal of Sports Physiology and Performance, 2011, 6, 281-286 2011 Human Kinetics, Inc. Changes in a Top-Level Soccer Referee s Training, Match Activities, and Physiology Over
More informationCongress Science and Cycling 29 & 30 june 2016 Caen. Théo OUVRARD, Julien Pinot, Alain GROSLAMBERT, Fred GRAPPE
Congress Science and Cycling 29 & 30 june 2016 Caen Exposure Variation Analysis (EVA) method to monitor ability to optimally regulate exercise intensity of professional cyclists during time-trial competitions
More informationBAUKJE DIJKSTRA, WIEBREN ZIJLSTRA, ERIK SCHERDER, YVO KAMSMA. Abstract. Introduction
Age and Ageing 28; 37: 436 441 doi:.93/ageing/afn97 Published electronically 16 May 28 The Author 28. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved.
More informationTraffic Parameter Methods for Surrogate Safety Comparative Study of Three Non-Intrusive Sensor Technologies
Traffic Parameter Methods for Surrogate Safety Comparative Study of Three Non-Intrusive Sensor Technologies CARSP 2015 Collision Prediction and Prevention Approaches Joshua Stipancic 2/32 Acknowledgements
More informationThe Yo-Yo Test: Reliability and Association With a 20-m Shuttle Run and VO 2max
International Journal of Sports Physiology and Performance, 2006:1:137-149 2006 Human Kinetics, Inc. The Yo-Yo Test: Reliability and Association With a 20-m Shuttle Run and VO 2max Andrew Thomas, Brian
More informationAn Analysis of the Components of Sport Imagery in Basketball Players
An Analysis of the Components of Sport Imagery in Basketball Players Nishan Singh Deol Department of Physical Education, Punjabi University, Patiala, India Davinder Singh Department of Physical Education,
More informationFemke De Meester 1*, Delfien Van Dyck 1,2, Ilse De Bourdeaudhuij 1 and Greet Cardon 1
De Meester et al. BMC Public Health 2014, 14:631 RESEARCH ARTICLE Open Access Parental perceived neighborhood attributes: associations with active transport and physical activity among 10 12 year old children
More informationPEDOMETER HANDBOOK MAKING EVERY STEP COUNT!
PEDOMETER HANDBOOK Congratulations on taking a step with pedometers to a healthier you! We hope this handbook will help you make walking part of your everyday life. This handbook includes information on:
More informationExplore the basis for including competition traits in the genetic evaluation of the Icelandic horse
Elsa Albertsdóttir The Swedish Agricultural University Faculty of Veterinary Medicine and Animal Science Department of Animal Breeding and Genetics Uppsala Explore the basis for including competition traits
More informationStride Frequency, Body Fat Percentage, and the Amount of Knee Flexion Affect the Race Time of Male Cross Country Runners
Stride Frequency, Body Fat Percentage, and the Amount of Knee Flexion Affect the Race Time of Male Cross Country Runners Vineel Mallavarapu 1 and Kevin Finn 2 1 Cedar Falls High School, Cedar Falls, IA
More informationValidity and Reliability of Predicting Maximum Oxygen Uptake via Field Tests in Children and Adolescents
Pediatric Exercise Science, 1991.3, 250-255 Validity and Reliability of Predicting Maximum Oxygen Uptake via Field Tests in Children and Adolescents Michael J. Buono, Julia J. Roby, Frank G. Micale, James
More informationAmbulatory monitoring of gait quality with wearable inertial sensors
Ambulatory monitoring of gait quality with wearable inertial sensors Dr. Philippe Terrier, PhD June 2016 Summary 1. Why? Reasons for measuring gait in real life conditions 2. What? Real-life assessment
More informationINVESTIGATION OF SAQ TRAINING VERSES SPRINT INTERVAL TRAINING IMPACT ON BASKETBALL THROW FOR ACCURACY OF MEN BASKETBALL PLAYERS
INVESTIGATION OF SAQ TRAINING VERSES SPRINT INTERVAL TRAINING IMPACT ON BASKETBALL THROW FOR ACCURACY OF MEN BASKETBALL PLAYERS I. Devi Vara Prasad, Ph. D. Assistant Professor, Co-ordinator, B.P.Ed., Course,
More information