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Journal articles on the topic 'Sensewear armband'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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1

Koehler, Karsten, Thomas Abel, Birgit Wallmann-Sperlich, Annika Dreuscher, and Volker Anneken. "Energy Expenditure in Adolescents With Cerebral Palsy: Comparison of the SenseWear Armband and Indirect Calorimetry." Journal of Physical Activity and Health 12, no. 4 (April 2015): 540–45. http://dx.doi.org/10.1123/jpah.2013-0294.

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Background:Inactivity and overweight are major health concerns in children and adolescents with disabilities. Methods for the assessment of activity and energy expenditure may be affected negatively by the underlying disability, especially when motor function is impaired. The purpose of this study was to assess the validity of the SenseWear Armband in adolescents with cerebral palsy and hemiparesis.Methods:Ten volunteers (age: 13.4 ± 1.6 years) were equipped with SenseWear Armbands on the hemiparetic and nonhemiparetic side of the body. Energy expenditure was measured at rest and during treadmill exercise (speed range: 0.85 to 2.35 m/s). Indirect calorimetry served as independent reference method.Results:The mean error was between −0.6 and 0.8 kcal/min and there were no significant differences between SenseWear and indirect calorimetry at any speed. Differences between body sides in expenditure (mean: −0.2 to 0.0 kcal/min) and step count (mean: −3.4 to 9.7 steps/min) were not significant.Conclusions:The validity of the SenseWear Armband does not appear to be negatively affected by cerebral palsy during laboratory treadmill exercise. Future field studies are necessary to assess the validity and practicability of energy expenditure and physical activity assessment in children and adolescents with physical disabilities.
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Manns, Patricia J., and Robert G. Haennel. "SenseWear Armband and Stroke: Validity of Energy Expenditure and Step Count Measurement during Walking." Stroke Research and Treatment 2012 (2012): 1–8. http://dx.doi.org/10.1155/2012/247165.

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The purpose of this study was to test the validity of the SenseWear Pro Armband (SWA) for the measurement of energy expenditure (EE) and step count against a criterion in persons with stroke. Twelve participants with chronic stroke (mean age64.2±10.4years; mean gait speed0.67±0.25 m/sec) completed two trials of a six-minute walk test, while wearing a SenseWear Armband (SWA) on each arm and being continuously monitored using a portable metabolic cart. Agreement between estimates of energy expenditure from the SWA and the metabolic cart was fair for the armband on the hemiplegic arm (intraclass correlation cefficient(ICC)=0.586) and good for the armband on the unaffected arm (ICC=0.702). Agreement between the SWA estimate of step count, and step count as measured by the Step Activity Monitor was poor (ICC<0.352), with significant underestimation by the SWA. Our results show that, for these moderately impaired persons with stroke, the SWA should be used with caution for the measurement of energy expenditure and should not be used to measure step count.
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Vernillo, Gianluca, Aldo Savoldelli, Barbara Pellegrini, and Federico Schena. "Validity of the SenseWear Armband to Assess Energy Expenditure in Graded Walking." Journal of Physical Activity and Health 12, no. 2 (February 2015): 178–83. http://dx.doi.org/10.1123/jpah.2013-0437.

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Background:Accurate assessments of physical activity and energy expenditure (EE) are needed to advance research on positive and negative graded walking.Purpose:To evaluate the validity of 2 SenseWear Armband monitors (Pro3 and the recently released Mini) during graded walking.Methods:Twenty healthy adults wore both monitors during randomized walking activities on a motorized treadmill at 7 grades (0%, ±5%, ±15%, and ±25%). Estimates of total EE from the monitors were computed using different algorithms and compared with values derived from indirect calorimetry methodology using a 2-way mixed model ANOVA (Device × Condition), correlation analyses and Bland-Altman plots.Results:There was no significant difference in EE between the 2 armbands in any of the conditions examined. Significant main effects for device and condition, as well as a consistent bias, were observed during positive and negative graded walking with a greater over- and under-estimation at higher slope.Conclusions:Both the armbands produced similar EE values and seem to be not accurate in estimation of EE during activities involving uphill and downhill walking. Additional work is needed to understand factors contributing to this discrepancy and to improve the ability of these monitors to accurately measure EE during graded walking.
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Brazeau, A. S., A. D. Karelis, D. Mignault, M. J. Lacroix, D. Prud’homme, and R. Rabasa-Lhoret. "Accuracy of the SenseWear Armband™ during Ergocycling." International Journal of Sports Medicine 32, no. 10 (September 12, 2011): 761–64. http://dx.doi.org/10.1055/s-0031-1279768.

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Jin, Jing, and Jie Zhuang. "Energy expenditure of type-specific sedentary behaviors estimated using sensewear mini armband." Kinesiology 50, no. 1 (2018): 52–56. http://dx.doi.org/10.26582/k.50.1.14.

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SenseWear Mini Armband, an accelerometer with multiple physiological sensors, could be a practical means to estimate energy expenditure (EE) of children and adolescents, but its validity reported for these age&nbsp;groups has not been consistent within the literature. EE of twenty-six healthy Chinese 12-year-old adolescents was measured simultaneously using both SenseWear Mini Armband (SWMA) and metabolic chamber (MC) during a 16-hour stay in a MC. SWMA systematically underestimated the adolescents’ EE during sedentary behaviors, resting metabolic rate (RMR), basal metabolic rate (BMR), and total EE, with the absolute error rate ranging from 14.85% to 28.65%. The SWMA significantly underestimated EE compared with MC in Chinese adolescents. However, the amount of error can be reduced by applying correction equation proposed in this study.
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6

Vernillo, Gianluca, Aldo Savoldelli, Barbara Pellegrini, and Federico Schena. "Evaluation of the SenseWear Mini Armband to Assess Energy Expenditure During Pole Walking." International Journal of Sport Nutrition and Exercise Metabolism 24, no. 5 (October 2014): 565–69. http://dx.doi.org/10.1123/ijsnem.2014-0075.

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The current study aimed to show the validity of a portable motion sensor, the SenseWear Armband (SWA), for the estimation of energy expenditure during pole walking. Twenty healthy adults (mean ± SD: age 30.1 ± 7.2 year, body mass 66.1 ± 10.6 kg, height 172.4 ± 8.0 cm, BMI 22.1 ± 2.4 kg·m−2) wore the armband during randomized pole walking activities at a constant speed (1.25 m·s−1) and at seven grades (0%, ±5%, ±15% and ±25%). Estimates of total energy expenditure from the armband were compared with values derived from indirect calorimetry methodology (IC) using a 2–way mixed model ANOVA (Device × Slope), correlation analyses and Bland-Altman plots. Results revealed significant main effects for device, and slope (p < .025) as well as a significant interaction (p < .001). Significant differences between IC and SWA were observed for all conditions (p < .05). SWA generally underestimate the EE values during uphill PW by 0.04 kcal·kg−1·min−1 (p < .05). Whereas, a significant overestimation has been detected during flat and downhill PW by 0.01 and 0.03 kcal·kg−1·min−1 (p < .05), respectively. The Bland-Altman plots revealed bias of the armband compared with the indirect calorimetry at any condition examined. The present data suggest that the armband is not accurate to correctly detect and estimate the energy expenditure during pole walking activities. Therefore, the observed over- and under-estimations warrants more work to improve the ability of SWA to accurately measure EE for these activities.
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Van Hoye, Karen, Filip Boen, and Johan Lefevre. "Validation of the SenseWear Armband in different ambient temperatures." Journal of Sports Sciences 33, no. 10 (December 24, 2014): 1007–18. http://dx.doi.org/10.1080/02640414.2014.981846.

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8

Mattson, Elizabeth M., and Kara I. Gallagher. "Validity of the Sensewear Pro Armband during Outdoor Cycling." Medicine & Science in Sports & Exercise 39, Supplement (May 2007): S176—S177. http://dx.doi.org/10.1249/01.mss.0000273652.63758.24.

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McNamara, Renae J., Ling Ling Y. Tsai, Sally L. Wootton, L. W. Cindy Ng, Marita T. Dale, Zoe J. McKeough, and Jennifer A. Alison. "Measurement of daily physical activity using the SenseWear Armband." Chronic Respiratory Disease 13, no. 2 (February 15, 2016): 144–54. http://dx.doi.org/10.1177/1479972316631138.

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Lopez, G. A., J. C. Brønd, L. B. Andersen, M. Dencker, and D. Arvidsson. "Validation of SenseWear Armband in children, adolescents, and adults." Scandinavian Journal of Medicine & Science in Sports 28, no. 2 (June 28, 2017): 487–95. http://dx.doi.org/10.1111/sms.12920.

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CALABRÓ, MIGUEL A., GREGORY J. WELK, and JOEY C. EISENMANN. "Validation of the SenseWear Pro Armband Algorithms in Children." Medicine & Science in Sports & Exercise 41, no. 9 (September 2009): 1714–20. http://dx.doi.org/10.1249/mss.0b013e3181a071cf.

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Drenowatz, Clemens, and Joey C. Eisenmann. "Validation of the SenseWear Armband at high intensity exercise." European Journal of Applied Physiology 111, no. 5 (October 24, 2010): 883–87. http://dx.doi.org/10.1007/s00421-010-1695-0.

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Soric, Maroje, Pavle Mikulic, Marjeta Misigoj-Durakovic, Lana Ruzic, and Goran Markovic. "Validation of the Sensewear Armband during recreational in-line skating." European Journal of Applied Physiology 112, no. 3 (June 17, 2011): 1183–88. http://dx.doi.org/10.1007/s00421-011-2045-6.

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Peinado, Ana Belén, Eliane Aparecida Castro, Augusto García Zapico, and Pedro Jose Benito. "ACCELEROMETRY UNDERESTIMATES ENERGY EXPENDITURE IN CIRCUIT-BASED RESISTANCE TRAINING." Revista Brasileira de Medicina do Esporte 26, no. 5 (October 2020): 415–19. http://dx.doi.org/10.1590/1517-869220202605152481.

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ABSTRACT Introduction: Accelerometry is a very accurate method for determining energy expenditure (EE) in endurance training. However, further studies are needed to prove its accuracy in resistance training. Objective: To compare the EE obtained by accelerometry and indirect calorimetry in three different circuit resistance training circuits. Methods: Six overweight volunteers performed three sets in three resistance training circuits: machine circuit (MC), free-weight circuit (FWC) and resistance + aerobic circuit (RAC). EE was measured by indirect calorimetry using an Oxycon Mobile® and by the accelerometers SenseWear® Armband Pro2 and ActiTrainer®. Results: ActiTrainer® and SenseWear® underestimated EE in all circuits when compared to indirect calorimetry (p<0.05). The difference was greater in the FWC: 44.4% METs and 81.4% Kcal for ActiTrainer® and 32.3% METs and 24.9% Kcal for SenseWear® compared to indirect calorimetry. Conclusion: Both ActiTrainer® and SenseWear® underestimated EE when compared to indirect calorimetry in three different resistance training circuits. Level of evidence II; Diagnostic studies - Investigating a diagnostic test.
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Wouda, Matthijs Ferdinand, Eivind Lundgaard, Anne Marie Lannem, Petter Mowinckel, and Sveinung Berntsen. "Evaluation of Sensewear Armband to estimate energy expenditure during wheelchair propulsion." Advances in Physiotherapy 13, no. 2 (April 15, 2011): 42–49. http://dx.doi.org/10.3109/14038196.2011.572997.

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van Hoye, Karen, Patricia Mortelmans, and Johan Lefevre. "Validation of the SenseWear Pro3 Armband Using an Incremental Exercise Test." Journal of Strength and Conditioning Research 28, no. 10 (October 2014): 2806–14. http://dx.doi.org/10.1519/jsc.0b013e3182a1f836.

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Casiraghi, Francesca, Raweewan Lertwattanarak, Livio Luzi, Alberto O. Chavez, Alberto M. Davalli, Terry Naegelin, Anthony G. Comuzzie, Patricia Frost, Nicolas Musi, and Franco Folli. "Energy Expenditure Evaluation in Humans and Non-Human Primates by SenseWear Armband. Validation of Energy Expenditure Evaluation by SenseWear Armband by Direct Comparison with Indirect Calorimetry." PLoS ONE 8, no. 9 (September 19, 2013): e73651. http://dx.doi.org/10.1371/journal.pone.0073651.

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Uzelpasaci, Esra, Türkan Akbayrak, Serap Özgül, Ceren Orhan, Emine Baran, Gülbala Nakip, Sinan Beksac, and Semra Topuz. "The Reliability and Validity of the Turkish Kaiser Physical Activity Survey for Pregnant Women." Journal of Physical Activity and Health 16, no. 11 (November 1, 2019): 962–67. http://dx.doi.org/10.1123/jpah.2018-0573.

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Background: Evaluation of physical activity by condition-specific surveys provides more accurate results than generic physical activity questionnaires. The aim of this study was to investigate the reliability and validity of the Kaiser Physical Activity Survey (KPAS) in Turkish pregnant women. Methods: In the translation and cultural adaptation of the KPAS, the 6-phase guidelines recommended in the literature were followed. The study included a total of 151 pregnant women who were assessed using the Turkish version of KPAS, the Pregnancy Physical Activity Questionnaire, and the SenseWear Pro3 Armband. To determine the test–retest reliability, the KPAS was reapplied after 7 days. The psychometric properties of KPAS were analyzed with respect to internal consistency, test–retest reliability, and concurrent validity. Results: Cronbach α coefficient indicating the internal consistency of the Turkish KPAS was found to be .60 to .80, showing moderate reliability. The intraclass correlation coefficient for test–retest reliability was very strong (intraclass correlation coefficient: .96–.98). The total KPAS scores were found to be moderately correlated with the total Pregnancy Physical Activity Questionnaire score and the total energy expenditure value on the SenseWear Pro3 Armband. Conclusions: This study showed that KPAS is a valid and reliable instrument for evaluating physical activity in Turkish pregnant women in different aspects.
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Almeida, Gustavo J. M., Mary Chester M. Wasko, Kwonho Jeong, Charity G. Moore, and Sara R. Piva. "Physical Activity Measured by the SenseWear Armband in Women With Rheumatoid Arthritis." Physical Therapy 91, no. 9 (September 1, 2011): 1367–76. http://dx.doi.org/10.2522/ptj.20100291.

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Joschtel, B., M. Neil, M. Fragala-Pinkham, and S. Trost. "Predictive validity of the BodyMedia SenseWear Armband in children with cerebral palsy." Journal of Science and Medicine in Sport 18 (December 2014): e37. http://dx.doi.org/10.1016/j.jsams.2014.11.226.

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Bhammar, Dharini M., Brandon J. Sawyer, Wesley J. Tucker, Jung-Min Lee, and Glenn A. Gaesser. "Validity of SenseWear® Armband v5.2 and v2.2 for estimating energy expenditure." Journal of Sports Sciences 34, no. 19 (February 8, 2016): 1830–38. http://dx.doi.org/10.1080/02640414.2016.1140220.

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McClain, James J., Gregory J. Welk, Eric E. Wickel, and Joey C. Eisenmann. "Accuracy Of Energy Expenditure Estimates From The Bodymedia Sensewear?? Pro 2 Armband." Medicine & Science in Sports & Exercise 37, Supplement (May 2005): S116???S117. http://dx.doi.org/10.1097/00005768-200505001-00599.

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Zhuang, Jie, Pei Jie Chen, Zheng Zhu, Siya Wang, and Jiaxin Jiao. "Validity Of Sensewear Armband Against Respiration Chamber In Children Aged 12 Yr." Medicine & Science in Sports & Exercise 46 (May 2014): 517. http://dx.doi.org/10.1249/01.mss.0000495016.06654.a2.

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Lee, Joseph A., and Kelly R. Laurson. "Inconsistencies During Minute-by-Minute Step Counting Using the Sensewear Mini Armband." Medicine & Science in Sports & Exercise 46 (May 2014): 793. http://dx.doi.org/10.1249/01.mss.0000495881.17223.71.

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Vernillo, Gianluca, Aldo Savoldelli, Barbara Pellegrini, and Federico Schena. "Validity of the SenseWear Armband to Assess Energy Expenditure in Graded Walking." Journal of Physical Activity and Health 12, no. 2 (February 2015): 178–83. http://dx.doi.org/10.1123/jpah.12.2.178.

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Benito, P. J., C. Neiva, P. S. González-Quijano, R. Cupeiro, E. Morencos, and A. B. Peinado. "Validation of the SenseWear armband in circuit resistance training with different loads." European Journal of Applied Physiology 112, no. 8 (December 6, 2011): 3155–59. http://dx.doi.org/10.1007/s00421-011-2269-5.

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Thorp, Alicia Ann, Bronwyn A. Kingwell, Coralie English, Louise Hammond, Parneet Sethi, Neville Owen, and David W. Dunstan. "Alternating Sitting and Standing Increases the Workplace Energy Expenditure of Overweight Adults." Journal of Physical Activity and Health 13, no. 1 (January 2016): 24–29. http://dx.doi.org/10.1123/jpah.2014-0420.

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Background:To determine whether alternating bouts of sitting and standing at work influences daily workplace energy expenditure (EE).Methods:Twenty-three overweight/obese office workers (mean ± SD; age: 48.2 ± 7.9 y, body mass index: 29.6 ± 4.0 kg/m2) undertook two 5-day experimental conditions in an equal, randomized order. Participants wore a “metabolic armband” (SenseWear Armband Mini) to estimate daily workplace EE (KJ/8 h) while working (1) in a seated work posture (SIT condition) or (2) alternating between a standing and seated work posture every 30 minutes using a sit-stand workstation (STAND-SIT condition). To assess the validity of the metabolic armband, a criterion measure of acute EE (KJ/min; indirect calorimetry) was performed on day 4 of each condition.Results:Standing to work acutely increased EE by 0.7 [95% CI 0.3–1.0] KJ/min (13%), relative to sitting (P = .002). Compared with indirect calorimetry, the metabolic armband provided a valid estimate of EE while standing to work (mean bias: 0.1 [–0.3 to 0.4] KJ/min) but modestly overestimated EE while sitting (P = .005). Daily workplace EE was greatest during the STAND-SIT condition (mean condition difference [95% CI]: 76 [8–144] KJ/8-h workday, P = .03).Conclusions:Intermittent standing at work can modestly increase daily workplace EE compared with seated work in overweight/obese office workers.
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Peacock, Justin G., Roanna L. Vine, Jennifer S. McDonald, Paul J. Novotny, and David F. Kallmes. "Armband activity monitor data do not correlate with reported pain scores in patients receiving vertebroplasty." Journal of NeuroInterventional Surgery 9, no. 9 (July 28, 2016): 905–9. http://dx.doi.org/10.1136/neurintsurg-2015-012174.

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BackgroundPrior research on the efficacy of vertebroplasty has focused primarily on subjective, patient-reported outcomes.ObjectiveTo apply an armband activity monitor (SenseWear by BodyMedia Inc, USA) to patients presenting for consideration for vertebroplasty and to determine the correlation between patient-reported outcomes and quantitative activity metrics at baseline and 30 days after presentation.Materials and methodsNineteen patients were enrolled (15 receiving vertebroplasty, 4 not receiving vertebroplasty). Patients reported their average pain over the past 24 hours and completed the Roland–Morris disability questionnaire at baseline and 30 days. Patients wore the SenseWear Armband activity monitor for a median of 4 days at baseline and at the 30-day time period to assess steps, metabolic equivalents expended, sedentary activity time, moderate activity time, sleep efficiency, and total sleep time. Pain and disability scores were correlated with activity monitor metrics using linear regression analysis.ResultsChanges in reported average pain in the past 24 hours and disability scores were not significantly different between vertebroplasty and non-vertebroplasty groups (p>0.05). Changes in activity monitor data were not significantly different between the vertebroplasty and non-vertebroplasty groups (p>0.05). None of the correlations between the reported pain or disability scores and the activity monitor data were significant.ConclusionsActivity monitors can be used to objectively record changes in activity following vertebroplasty procedures. Patient-reported pain or disability scores do not correlate with activity monitor-measured activity or sleep metrics.
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Tsang, KaLai, Shivayogi V. Hiremath, Rory A. Cooper, and Dan Ding. "Evaluation of custom energy expenditure models for SenseWear armband in manual wheelchair users." Journal of Rehabilitation Research and Development 52, no. 7 (2015): 793–804. http://dx.doi.org/10.1682/jrrd.2014.01.0188.

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Tsang, KaLai, Shivayogi V. Hiremath, Rory A. Cooper, and Dan Ding. "Evaluation of custom energy expenditure models for SenseWear armband in manual wheelchair users." Journal of Rehabilitation Research and Development 52, no. 7 (2015): 793–804. http://dx.doi.org/10.1682/jrrd.2014.08.0188.

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McClain, James J., Gregory J. Welk, Eric E. Wickel, and Joey C. Eisenmann. "Accuracy Of Energy Expenditure Estimates From The Bodymedia Sensewear® Pro 2 Armband." Medicine & Science in Sports & Exercise 37, Supplement (May 2005): S116—S117. http://dx.doi.org/10.1249/00005768-200505001-00599.

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Reeve, Michael D., Kate L. Pumpa, and Nick Ball. "Accuracy of the SenseWear Armband Mini and the BodyMedia FIT in resistance training." Journal of Science and Medicine in Sport 17, no. 6 (November 2014): 630–34. http://dx.doi.org/10.1016/j.jsams.2013.08.007.

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Lee, Jung-Min, Youngwon Kim, Yang Bai, Glenn A. Gaesser, and Gregory J. Welk. "Validation of the SenseWear mini armband in children during semi-structure activity settings." Journal of Science and Medicine in Sport 19, no. 1 (January 2016): 41–45. http://dx.doi.org/10.1016/j.jsams.2014.10.004.

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Gallagher, Kara I., Kristen M. Lagally, and John Good. "Reliability and Validity of the Sensewear Pro Armband During Continuous Functional Resistance Exercise." Medicine & Science in Sports & Exercise 39, Supplement (May 2007): S178. http://dx.doi.org/10.1249/01.mss.0000273660.79005.1b.

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Hill, K., T. E. Dolmage, L. Woon, R. Goldstein, and D. Brooks. "Measurement properties of the SenseWear armband in adults with chronic obstructive pulmonary disease." Thorax 65, no. 6 (June 1, 2010): 486–91. http://dx.doi.org/10.1136/thx.2009.128702.

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Predieri, Barbara, Patrizia Bruzzi, Francesca Lami, Giulia Vellani, Marcella Malavolti, Nino C. Battistini, and Lorenzo Iughetti. "Accuracy of SenseWear Pro2 Armband to Predict Resting Energy Expenditure in Childhood Obesity." Obesity 21, no. 12 (July 2, 2013): 2465–70. http://dx.doi.org/10.1002/oby.20427.

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Barry, Vaughn W., Sara L. Shuger, Michael W. Beets, Xuemei Sui, Sara Wilcox, Gregory Hand, Amanda C. McClain, and Steven N. Blair. "Wearing the SenseWear Armband and Weight Loss in Sedentary Overweight and Obese Adults." Medicine & Science in Sports & Exercise 42 (May 2010): 484. http://dx.doi.org/10.1249/01.mss.0000385084.78292.28.

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SMITH, KATIE M., LORRAINE M. LANNINGHAM-FOSTER, GREGORY J. WELK, and CHRISTINA G. CAMPBELL. "Validity of the SenseWear® Armband to Predict Energy Expenditure in Pregnant Women." Medicine & Science in Sports & Exercise 44, no. 10 (October 2012): 2001–8. http://dx.doi.org/10.1249/mss.0b013e31825ce76f.

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39

Yurdakul, Hüseyin Ö., and Barış Baydemir. "Comparison of physical activity and skinfold thickness of students living in rural and city center." Pedagogy of Physical Culture and Sports 24, no. 5 (October 30, 2020): 271–77. http://dx.doi.org/10.15561/26649837.2020.0508.

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Background and Study Aim. ln this academic research, it was aimed to compare the physical activity and skinfold thickness of the students living in the city center and rural areas. Material and Methods. 89 students attending the 6th grade level, whose total age is 12 years old, residing in the city center and rural areas of Çanakkale participated in the study. Students were examined with SenseWear armband bmi, total energy consumption, daily step count, met, active energy consumption, physical activity time, reach time and sleep times. Body mass index was determined with Holtain Skinfold Caliper. For the analysis of the dataset, the Independent Sample t test was utilized to examine the difference between the students' physical activity levels and skin fold thickness. Then, the relevance between physical activity level and skinfold thickness was examined for pearson correlation. Significance value p<.05 and p<.01were accepted. Results. ln accordance with the data obtained with SenseWear Armband, it has been determined that a statistically substantial amount of difference between BMI total energy consumption und daily step number of students living in rural and city centers is present. According to the results of skin fold thickness measurements made with skinfold calipers, there was a significant difference in triceps, subscapular, abdominal, suprailiac and femur regions (p<.05). Conclusion. As a result of the research, it is concluded that students studying in the city center have less physical activity level than students living in the rural area.
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Coopoo, Y., D. Constantinou, and AD Rothberg. "Energy expenditure in office workers with identified health risks." South African Journal of Sports Medicine 20, no. 2 (April 25, 2017): 40–43. http://dx.doi.org/10.17159/2078-516x/2008/v20i2a281.

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Objective. To measure the daily energy expenditure in employees previously identified as having ≥2 risk factors for chronic disease, and to identify potential risk-reducing interventions for implementation within or outside the workplace. Design. A total of 122 employees with ≥2 risk factors for chronic disease identified in an in-house screening programme were invited to participate in a 6-month health management programme. Physical assessments included anthropometric measurements, blood pressure, blood glucose and cholesterol estimations, and bicycle ergometry. Participants were invited to wear a ‘metabolic armband' (Body Media SenseWear Pro Armband®) for 6 days. Metabolic measures included active and total energy expenditure (AEE, TEE), and daily MET levels (metabolic equivalents expressed as kcal/kg/hour). Differences were explored between genders, and relationships sought between energy expenditure, lifestyle and anthropometric data. Setting. A corporate working environment. All measures and assessments were carried out in the in-house fitness facility. Interventions. The health management programme involved physical assessments and personalised weight and activity management plans. Main outcome measures. TEE per day, duration and quantification of physical activity, METS, AEE, number of steps per day and body position recording. Relationships were explored between the latter and anthropometric measures such as body mass index (BMI) and percentage body fat. Result. Altogether 53 (43%) of the eligible subjects volunteered for the 6-month programme and 49 enrolled for the metabolic armband study. The males were more active than the females, but both had BMI and body fat estimates that categorised them as overweight to obese. METS and AEE were positively correlated with duration of exercise rather than intensity, and negatively correlated with BMI. In a stepwise regression analysis for the total group 77% of the variance in MET levels was accounted for by per cent body fat and steps per day. Multivariate analysis by gender (with per cent body fat as the dependent variable) suggested that males would have to increase the duration of vigorous exercise in order to reduce body fat, while females would benefit from sitting less, sleeping more, and increasing the duration of moderate exercise. Conclusion and clinical relevance. In a self-selected sample involving motivated individuals, the SenseWear® armband provided information that would be useful in directing further research in women, focusing on sleeping pattern and moderately increasing activity levels. South African Journal of Sports Medicine Vol. 20 (2) 2008: pp. 40-43
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Coopoo, Y., D. Constantinou, and AD Rothberg. "Energy expenditure in office workers with identified health risks." South African Journal of Sports Medicine 20, no. 2 (February 5, 2009): 40. http://dx.doi.org/10.17159/2413-3108/2008/v20i2a281.

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Abstract:
Objective. To measure the daily energy expenditure in employees previously identified as having ≥2 risk factors for chronic disease, and to identify potential risk-reducing interventions for implementation within or outside the workplace. Design. A total of 122 employees with ≥2 risk factors for chronic disease identified in an in-house screening programme were invited to participate in a 6-month health management programme. Physical assessments included anthropometric measurements, blood pressure, blood glucose and cholesterol estimations, and bicycle ergometry. Participants were invited to wear a ‘metabolic armband' (Body Media SenseWear Pro Armband®) for 6 days. Metabolic measures included active and total energy expenditure (AEE, TEE), and daily MET levels (metabolic equivalents expressed as kcal/kg/hour). Differences were explored between genders, and relationships sought between energy expenditure, lifestyle and anthropometric data. Setting. A corporate working environment. All measures and assessments were carried out in the in-house fitness facility. Interventions. The health management programme involved physical assessments and personalised weight and activity management plans. Main outcome measures. TEE per day, duration and quantification of physical activity, METS, AEE, number of steps per day and body position recording. Relationships were explored between the latter and anthropometric measures such as body mass index (BMI) and percentage body fat. Result. Altogether 53 (43%) of the eligible subjects volunteered for the 6-month programme and 49 enrolled for the metabolic armband study. The males were more active than the females, but both had BMI and body fat estimates that categorised them as overweight to obese. METS and AEE were positively correlated with duration of exercise rather than intensity, and negatively correlated with BMI. In a stepwise regression analysis for the total group 77% of the variance in MET levels was accounted for by per cent body fat and steps per day. Multivariate analysis by gender (with per cent body fat as the dependent variable) suggested that males would have to increase the duration of vigorous exercise in order to reduce body fat, while females would benefit from sitting less, sleeping more, and increasing the duration of moderate exercise. Conclusion and clinical relevance. In a self-selected sample involving motivated individuals, the SenseWear® armband provided information that would be useful in directing further research in women, focusing on sleeping pattern and moderately increasing activity levels. South African Journal of Sports Medicine Vol. 20 (2) 2008: pp. 40-43
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BaHammam, AhmedS, and MunirM Sharif. "Sleep estimation using BodyMedia′s SenseWear™ armband in patients with obstructive sleep apnea." Annals of Thoracic Medicine 8, no. 1 (2013): 53. http://dx.doi.org/10.4103/1817-1737.105720.

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Chen, Senlin, Xihe Zhu, Gregory J. Welk, Youngwon Kim, Jungmin Lee, and Nathan F. Meier. "Using Sensewear armband and diet journal to promote adolescents' energy balance knowledge and motivation." Journal of Sport and Health Science 3, no. 4 (December 2014): 326–32. http://dx.doi.org/10.1016/j.jshs.2013.07.003.

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Mara, J., K. Thompson, and K. Pumpa. "Assessing the energy expenditure of elite female soccer players using the SenseWear Pro Armband." Journal of Science and Medicine in Sport 18 (December 2014): e59. http://dx.doi.org/10.1016/j.jsams.2014.11.279.

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Mealey, Lisa M., John M. Jakicic, Alyssa D. Mealey, Kelli K. Davis, and Micheal D. McDermott. "Validation of the SenseWear Pro Armband™ to Estimate Energy Expenditure During Resistance Training." Medicine & Science in Sports & Exercise 39, Supplement (May 2007): S176. http://dx.doi.org/10.1249/01.mss.0000273651.25640.f0.

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Sharpenstein, Jessica L., Kara I. Gallagher, Melissa A. Burgard, Jennifer L. Olive, and Barbara A. Stetson. "Validation of the Sensewear Pro-Armband to Assess the Energy Expenditure of Yoga Exercise." Medicine & Science in Sports & Exercise 39, Supplement (May 2007): S177. http://dx.doi.org/10.1249/01.mss.0000273656.56134.1c.

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Hallam, Jeffrey S., K. Suzanne Lacey, Andrew G. Hatchett, and Danielle D. Wadsworth. "Validity of the Bodymedia Sensewear Pro2 Armband During Resting and Walking Conditions in Adolescents." Medicine & Science in Sports & Exercise 39, Supplement (May 2007): S184. http://dx.doi.org/10.1249/01.mss.0000273684.46725.3c.

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Forseth, Bethany M., David R. Bassett, Scott E. Crouter, and Dawn P. Coe. "Accuracy Of The Sensewear Armband Mini-fly For Estimating Energy Expenditure Across Bmi Categories." Medicine & Science in Sports & Exercise 47 (May 2015): 14. http://dx.doi.org/10.1249/01.mss.0000476430.35948.b5.

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Stritesky, Meghan, Gary Liguori, and Larry Durstine. "Using the SenseWear Armband as a Tool to Promote Physical Activity in College Students." Medicine & Science in Sports & Exercise 38, Supplement (May 2006): S496. http://dx.doi.org/10.1249/00005768-200605001-02948.

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Arvidsson, Daniel, Frode Slinde, and Lena Hulthén. "Energy Expenditure From Actireg And Sensewear Armband Compared To Doubly Labeled Water In Adolescents." Medicine & Science in Sports & Exercise 40, Supplement (May 2008): S206. http://dx.doi.org/10.1249/01.mss.0000322349.00276.c0.

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