Validation of the Kenz Lifecorder EX and ActiGraph GT1M accelerometers for walking and running in adults

2008 ◽  
Vol 33 (6) ◽  
pp. 1155-1164 ◽  
Author(s):  
Mark G. Abel ◽  
James C. Hannon ◽  
Katie Sell ◽  
Tia Lillie ◽  
Geri Conlin ◽  
...  
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Indirect Calorimetry ◽  
Walking Speed ◽  
Treadmill Walking ◽  
Activity Monitors ◽  
Step Counts ◽  
Equation Analysis ◽  
Walking Speeds ◽  
Activity Energy

Accelerometer-based activity monitors are commonly used by researchers and clinicians to assess physical activity. Recently, the Kenz Lifecorder EX (KL) and ActiGraph GT1M (AG) accelerometers have been made commercially available, but there is limited research on the validity of these devices. Therefore, we sought to validate step count, activity energy expenditure (EE), and total EE output from the KL and AG during treadmill walking and running. Ten male and 10 female participants performed 10 min treadmill walking and running trials, at speeds of 54, 80, 107, 134, 161, and 188 m·min–1. Step counts were hand tallied by 2 observers, and indirect calorimetry was used to validate the accelerometers’ estimates of EE. AG total EE was calculated using the Freedson equation. Analysis of variance (ANOVA) and Pearson’s correlations were used to analyze the data. At the slowest walking speed, the AG and KL counted 64% ± 15% and 92% ± 6% of the observed steps, respectively. At all other treadmill speeds, both activity monitors undercounted, compared with observed steps, by ≤3%. The KL underestimated activity EE at faster running speeds (p < 0.01), overestimated total EE at some walking speeds, and underestimated total EE at some running speeds (p < 0.01). The Freedson equation inaccurately measured total EE at most walking and running speeds. The KL and the AG are moderately priced accelerometers that provide researchers and clinicians with accurate estimates of step counts and activity EE at most walking and running speeds.

Stride Rate and Walking Intensity in Healthy Older Adults

2014 ◽  
Vol 22 (2) ◽  
pp. 276-283 ◽  
Author(s):  
Leslie Peacock ◽  
Allan Hewitt ◽  
David A. Rowe ◽  
Rona Sutherland
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Energy Expenditure ◽  
Indirect Calorimetry ◽  
Multilevel Model ◽  
Vigorous Physical Activity ◽  
Treadmill Walking ◽  
Overground Walking ◽  
Healthy Older Adults ◽  
Stride Rate

Purpose:The study investigated (a) walking intensity (stride rate and energy expenditure) under three speed instructions; (b) associations between stride rate, age, height, and walking intensity; and (c) synchronization between stride rate and music tempo during overground walking in a population of healthy older adults.Methods:Twenty-nine participants completed 3 treadmill-walking trials and 3 overground-walking trials at 3 self-selected speeds. Treadmill VO2 was measured using indirect calorimetry. Stride rate and music tempo were recorded during overground-walking trials.Results:Mean stride rate exceeded minimum thresholds for moderate to vigorous physical activity (MVPA) under slow (111.41 ± 11.93), medium (118.17 ± 11.43), and fast (123.79 ± 11.61) instructions. A multilevel model showed that stride rate, age, and height have a significant effect (p < .01) on walking intensity.Conclusions:Healthy older adults achieve MVPA with stride rates that fall below published minima for MVPA. Stride rate, age, and height are significant predictors of energy expenditure in this population. Music can be a useful way to guide walking cadence.

Validity of the SC-StepMX pedometer during treadmill walking and running

2013 ◽  
Vol 38 (5) ◽  
pp. 520-524 ◽  
Author(s):  
Rachel C. Colley ◽  
Joel D. Barnes ◽  
Allana G. Leblanc ◽  
Michael Borghese ◽  
Charles Boyer ◽  
...  
Keyword(s):  
Confidence Interval ◽  
Walking Speed ◽  
The Elderly ◽  
Measurement Bias ◽  
Convenience Sample ◽  
Activity Monitors ◽  
Step Counts ◽  
Mean Absolute Percent Error ◽  
Walking Speeds ◽  
Absolute Percent Error

The purpose of this study was to examine the validity of the SC-StepMX pedometer for measuring step counts. A convenience sample of 40 participants wore 4 SC-StepMX pedometers, 2 Yamax DigiWalker pedometers, and 2 Actical accelerometers around their waist on a treadmill at 4 speeds based on each participant's self-paced walking speed (50%, 100%, 180%, and 250%; range: 1.4–14.1 km·h–1). The SC-StepMX demonstrated lower mean absolute percent error (–0.2%) compared with the Yamax DigiWalker (–20.5%) and the Actical (–26.1%). Mean measurement bias was lower for the SC-StepMX (0.1 ± 9.1; 95% confidence interval = –17.8 to 18.0 steps·min–1) when compared with both the Yamax DigiWalker (–15.9 ± 23.3; 95% confidence interval = –61.6 to 29.7 steps·min–1) and the Actical (–22.0 ± 36.3; 95% CI = –93.1 to 49.1 steps·min–1). This study demonstrates that the SC-StepMX pedometer is a valid tool for the measurement of step counts. The SC-StepMX accurately measures step counts at slower walking speeds when compared with 2 other commercially available activity monitors. This makes the SC-StepMX useful in measuring step counts in populations that are active at lower intensities (e.g., sedentary individuals, the elderly).

scholarly journals Activity Energy Expenditure in Youth: Sex, Age, and Body Size Patterns

2016 ◽  
Vol 13 (s1) ◽  
pp. S62-S70 ◽  
Author(s):  
Jung-Min Lee ◽  
Pedro F. Saint-Maurice ◽  
Youngwon Kim ◽  
Glenn A. Gaesser ◽  
Gregory Welk
Keyword(s):  
Physical Activity ◽  
Body Size ◽  
Energy Expenditure ◽  
Relative Intensity ◽  
Indirect Calorimetry ◽  
Physical Activities ◽  
Childhood And Adolescence ◽  
Energy Costs ◽  
Diverse Range ◽  
Activity Energy

Background:The assessment of physical activity (PA) and energy expenditure (EE) in youth is complicated by inherent variability in growth and maturation during childhood and adolescence. This study provides descriptive summaries of the EE of a diverse range of activities in children ages 7 to 13.Methods:A sample of 105 7- to 13-year-old children (boys: 57%, girls: 43%, and Age: 9.9 ± 1.9) performed a series of 12 activities from a pool of 24 activities while being monitored with an indirect calorimetry system.Results:Across physical activities, averages of VO2 ml·kg·min-1, VO2 L·min-1, EE, and METs ranged from 3.3 to 53.7 ml·kg·min-1, from 0.15 to 3.2 L·min-1, from 0.7 to 15.9 kcal·min-1, 1.5 MET to 7.8 MET, respectively.Conclusions:The energy costs of the activities varied by age, sex, and BMI status reinforcing the need to consider adjustments when examining the relative intensity of PA in youth.

Step Counts and Energy Expenditure as Estimated by Pedometry During Treadmill Walking at Different Stride Frequencies

2011 ◽  
Vol 8 (7) ◽  
pp. 1004-1013 ◽  
Author(s):  
Rishann Nielson ◽  
Pat R. Vehrs ◽  
Gilbert W. Fellingham ◽  
Ronald Hager ◽  
Keven A. Prusak
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Treadmill Walking ◽  
Moderate Intensity ◽  
Time Step ◽  
Step Counts ◽  
Moderate Intensity Physical Activity ◽  
Intensity Physical Activity ◽  
Physical Activity Recommendations ◽  
The Relationship

Background:The purposes of this study were to determine the accuracy and reliability of step counts and energy expenditure as estimated by a pedometer during treadmill walking and to clarify the relationship between step counts and current physical activity recommendations.Methods:One hundred males (n = 50) and females (n = 50) walked at stride frequencies (SF) of 80, 90, 100, 110, and 120 steps/min, during which time step counts and energy expenditure were estimated with a Walk4Life Elite pedometer.Results:The pedometer accurately measured step counts at SFs of 100, 110, and 120 steps/min, but not 80 and 90 steps/min. Compared with energy expenditure as measured by a metabolic cart, the pedometer significantly underestimated energy expenditure at 80 steps/min and significantly overestimated measured energy expenditure at 90, 100, 110, and 120 steps/ min.Conclusions:The pedometers’ inability to accurately estimate energy expenditure cannot be attributed to stride length entered into the pedometer or its ability to measure step counts. Males met 3 criteria and females met 2 criteria for moderate-intensity physical activity at SF of 110 to 120 steps/min. These results provide the basis for defining moderate-intensity physical activity based on energy expenditure and step counts and may lead to an appropriate steps/day recommendation.

Assessment of physical activity in older individuals: a doubly labeled water study

1999 ◽  
Vol 86 (6) ◽  
pp. 2090-2096 ◽  
Author(s):  
Raymond D. Starling ◽  
Dwight E. Matthews ◽  
Philip A. Ades ◽  
Eric T. Poehlman
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Older Women ◽  
Indirect Calorimetry ◽  
Leisure Time Physical Activity ◽  
Older Men ◽  
Daily Physical Activity ◽  
Physical Activity Energy Expenditure ◽  
Doubly Labeled Water ◽  
Activity Energy

We compared the accuracy of two physical activity recall questionnaires and a motion detector in 45- to 84-yr-old women ( n = 35) and men ( n = 32), using doubly labeled water (DLW) in conjunction with indirect calorimetry as the criterion measure. Subjects were administered the Yale Physical Activity Survey (YPAS) and Minnesota Leisure Time Physical Activity Questionnaire (LTA). Physical activity energy expenditure was determined over a 10-day period by using a Caltrac uniaxial accelerometer and DLW in conjunction with indirect calorimetry. In older women, Minnesota LTA (386 ± 228 kcal/day) and Caltrac (379 ± 162 kcal/day) underestimated physical activity by ∼55% compared with DLW (873 ± 244 kcal/day). No difference was observed between daily physical activity measured by the YPAS (863 ± 447 kcal/day) and DLW in older women. In older men, Minnesota LTA (459 ± 288 kcal/day) and Caltrac (554 ± 242 kcal/day) underestimated daily physical activity by ∼50–60% compared with DLW (1,211 ± 429 kcal/day). No difference was found between physical activity measured by the YPAS (1,107 ± 612 kcal/day) and DLW in older men. Despite no difference in mean physical activity levels between YPAS and DLW in women and men, Bland and Altman ( Lancet 1: 307–310, 1986) analyses demonstrated poor concordance between DLW and YPAS (i.e., limits of agreement = −1,310–1,518 kcal/day). Our data suggest that the Minnesota LTA recall and Caltrac uniaxial accelerometer may significantly underestimate free-living daily physical activity energy expenditure in older women and men. Although the YPAS compares favorably with DLW on a group basis, its use as a proxy measure of individual daily physical activity energy expenditure may be limited in older women and men.

scholarly journals Validity of the iPhone M7 Motion Coprocessor to Estimate Physical Activity During Structured and Free-Living Activities in Healthy Adults

2021 ◽  
pp. 1-8
Author(s):  
Nicola K. Thomson ◽  
Lauren McMichan ◽  
Eilidh Macrae ◽  
Julien S. Baker ◽  
David J. Muggeridge ◽  
...  
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Indirect Calorimetry ◽  
Body Movement ◽  
Primary Objective ◽  
Physical Activities ◽  
Healthy Adults ◽  
Treadmill Walking ◽  
Step Count ◽  
Free Living

Modern smartphones such as the iPhone contain an integrated accelerometer, which can be used to measure body movement and estimate the volume and intensity of physical activity. Objectives: The primary objective was to assess the validity of the iPhone to measure step count and energy expenditure during laboratory-based physical activities. A further objective was to compare free-living estimates of physical activity between the iPhone and the ActiGraph GT3X+ accelerometer. Methods: Twenty healthy adults wore the iPhone 5S and GT3X+ in a waist-mounted pouch during bouts of treadmill walking, jogging, and other physical activities in the laboratory. Step counts were manually counted, and energy expenditure was measured using indirect calorimetry. During two weeks of free-living, participants (n = 17) continuously wore a GT3X+ attached to their waist and were provided with an iPhone 5S to use as they would their own phone. Results: During treadmill walking, iPhone (703 ± 97 steps) and GT3X+ (675 ± 133 steps) provided accurate measurements of step count compared with the criterion method (700 ± 98 steps). Compared with indirect calorimetry (8 ± 3 kcal·min−1), the iPhone (5 ± 1 kcal·min−1) underestimated energy expenditure with poor agreement. During free-living, the iPhone (7,990 ± 4,673 steps·day−1) recorded a significantly lower (p < .05) daily step count compared with the GT3X+ (9,085 ± 4,647 steps·day−1). Conclusions: The iPhone accurately estimated step count during controlled laboratory walking but recorded a significantly lower volume of physical activity compared with the GT3X+ during free-living.

scholarly journals Effect of raw and encapsulated policosanol on lipid profiles, blood biochemistry, activity, energy expenditure and macronutrient metabolism of adult cats

2021 ◽  
pp. 1098612X2110137
Author(s):  
James R Templeman ◽  
Kylie Hogan ◽  
Alexandra Blanchard ◽  
Christopher PF Marinangeli ◽  
Alexandra Camara ◽  
...  
Keyword(s):  
Body Weight ◽  
Energy Expenditure ◽  
Indirect Calorimetry ◽  
Respiratory Quotient ◽  
Blood Count ◽  
Complete Blood Count ◽  
Serum Biochemistry ◽  
Blood Collection ◽  
Adult Cats ◽  
Activity Energy

Objectives The objective of this study was to verify the safety of policosanol supplementation for domestic cats. The effects of raw and encapsulated policosanol were compared with positive (L-carnitine) and negative (no supplementation) controls on outcomes of complete blood count, serum biochemistry, energy expenditure, respiratory quotient and physical activity in healthy young adult cats. Methods The study was a replicated 4 × 4 complete Latin square design. Eight cats (four castrated males, four spayed females; mean age 3.0 ± 1.0 years; mean weight 4.36 ± 1.08 kg; mean body condition score 5.4 ± 1.4) were blocked by sex and body weight then randomized to treatment groups: raw policosanol (10 mg/kg body weight), encapsulated policosanol (50 mg/kg body weight), L-carnitine (200 mg/kg body weight) or no supplementation. Treatments were supplemented to a basal diet for 28 days with a 1-week washout between periods. Food was distributed equally between two offerings to ensure complete supplement consumption (first offering) and measure consumption time (second offering). Blood collection (lipid profile, complete blood count, serum biochemistry) and indirect calorimetry (energy expenditure, respiratory quotient) were conducted at days 0, 14 and 28 of each period. Activity monitors were worn 7 days prior to indirect calorimetry and blood collection. Data were analyzed using a repeated measures mixed model (SAS, v.9.4). Results Food intake and body weight were similar among treatments. There was no effect of treatment on lipid profile, serum biochemistry, activity, energy expenditure or respiratory quotient ( P >0.05); however, time to consume a second meal was greatest in cats fed raw policosanol ( P <0.05). Conclusions and relevance These data suggest that policosanol is safe for feline consumption. Further studies with cats demonstrating cardiometabolic risk factors are warranted to confirm whether policosanol therapy is an efficacious treatment for hyperlipidemia and obesity.

scholarly journals Comparison of Energy Expenditure Observed between Scheduled Activities in Collegiate Team-Sport Female Athletes

Sports ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 50
Author(s):  
Jessica M. Moon ◽  
Hannah A. Zabriskie ◽  
Patrick S. Harty ◽  
Bradley S. Currier ◽  
Julia C. Blumkaitis ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Female Athletes ◽  
Team Sport ◽  
Activity Level ◽  
Ncaa Division Ii ◽  
Activity Monitors ◽  
Energy Needs ◽  
The Difference ◽  
Academic Year ◽  
Activity Energy

Energy needs of female team-sport athletes are poorly understood with no evidence highlighting differences present between scheduled activities. The purpose of this study was to examine the difference in energy expenditure between NCAA Division II female basketball (BBALL) and lacrosse (LAX) athletes during different scheduled team activities. Female BBALL (n = 13; 19.8 ± 1.3 yrs; 173.9 ± 13.6 cm; 74.6 ± 9.1kg; 27.1 ± 3.2%fat) and LAX (n = 20; 20.4 ± 1.8yrs; 168.4 ± 6.6cm; 68.8 ± 8.9kg; 27.9 ± 3.1%fat) athletes were outfitted with heart rate and activity monitors during four consecutive days on five different occasions (20 days total) across an entire academic year to assess differences in total daily activity energy expenditure (TDEE), activity energy expenditure (AEE), and physical activity level (PAL). Data were categorized by type of scheduled daily activities: Practice, Game, Conditioning, or Off. Independent of day type, TDEE, AEE, and PAL levels were greater (p < 0.05) in BBALL athletes. For each sport, TDEE, AEE, and PAL were significantly different (p < 0.05) between classified activity days. BBALL and LAX athletes experienced higher values on game days for TDEE, AEE, and PAL, with the lowest values experienced on off days. In conclusion, calculated levels of TDEE, AEE, and PAL in female collegiate BBALL and LAX athletes were determined to be different, irrespective of the scheduled activity.

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