Alternating Sitting and Standing Increases the Workplace Energy Expenditure of Overweight Adults

2016 ◽  
Vol 13 (1) ◽  
pp. 24-29 ◽  
Author(s):  
Alicia Ann Thorp ◽  
Bronwyn A. Kingwell ◽  
Coralie English ◽  
Louise Hammond ◽  
Parneet Sethi ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Energy Expenditure ◽  
Indirect Calorimetry ◽  
Office Workers ◽  
Criterion Measure ◽  
Experimental Conditions ◽  
Sensewear Armband ◽  
Work Posture ◽  
Valid Estimate ◽  
Overweight Adults

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.

scholarly journals 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 ◽  
2013 ◽  
Vol 8 (9) ◽  
pp. e73651 ◽  
Author(s):  
Francesca Casiraghi ◽  
Raweewan Lertwattanarak ◽  
Livio Luzi ◽  
Alberto O. Chavez ◽  
Alberto M. Davalli ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Indirect Calorimetry ◽  
Sensewear Armband

ENERGY EXPENDITURE IN 21-HYDROXYLASE CONGENITAL ADRENAL HYPERPLASIA PATIENTS AND COMPARISON WITH PREDICTIVE EQUATIONS

2020 ◽  
Vol 26 (4) ◽  
pp. 388-398
Author(s):  
Daniel Minutti de Oliveira ◽  
Ana Carolina Junqueira Vasques ◽  
Ezequiel Moreira Gonçalves ◽  
Sofia Helena Valente de Lemos-Marini ◽  
Gil Guerra-Junior ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Energy Expenditure ◽  
Congenital Adrenal Hyperplasia ◽  
Body Mass ◽  
Indirect Calorimetry ◽  
Resting Energy Expenditure ◽  
Adrenal Hyperplasia ◽  
Predictive Equations ◽  
17 Hydroxyprogesterone

Objective: To characterize resting energy expenditure (REE) in patients with classic 21-hydroxylase congenital adrenal hyperplasia (21-OH CAH) using indirect calorimetry and compare it to the most commonly used REE predictive equations. Methods: This case-control study comprised 29 post-pubertal 21-OH CAH patients regularly followed at the University of Campinas. Elevated serum 17-hydroxyprogesterone and CYP21 gene molecular analysis confirmed the diagnosis. A healthy control group paired by age, gender, and body mass index was examined. Dual-energy X-ray absorptiometry (DEXA) measured body compositions. A bioimpedance analyzer determined fat-free mass, and indirect calorimetry using a metabolic cart measured REE. Results: Unlike our initial hypothesis, REE was similar between the groups (18.7 ± 3.1 kcal/kg/day in CAH vs. 20.3 ± 3.5 kcal/kg/day in controls; P = .728). No predictive equations reached the stipulated accuracy criteria, thus lacking validity in REE assessment in adults with the characteristics of the group studied. DEXA analysis revealed higher body fat and diminished nonbone lean mass in 21-OH CAH. Anthropometric and bioelectrical impedance parameters were not significantly different. Conclusion: Classic 21-OH CAH is generally followed in reference centers, which may facilitate indirect calorimetry use for REE measurement. Alternatively, considering our REE findings in adult 21-OH CAH patients, nutrition management based on 25 kcal/body weight/day (measured REE × activity factor 1.2 to 1.3) may be reasonable for current body weight maintenance in these patients. Abbreviations: 17-OHP = 17-hydroxyprogesterone; 21-OH CAH = classic 21-hydroxylase deficiency congenital adrenal hyperplasia; BMI = body mass index; REE = resting energy expenditure; VO2 = volume of oxygen; VCO2 = volume of carbon dioxide

Energy Expenditure During Acute Periods of Sitting, Standing, and Walking

2016 ◽  
Vol 13 (6) ◽  
pp. 573-578 ◽  
Author(s):  
Seth A. Creasy ◽  
Renee J. Rogers ◽  
Thomas D. Byard ◽  
Robert J. Kowalsky ◽  
John M. Jakicic
Keyword(s):  
Energy Expenditure ◽  
Sedentary Behavior ◽  
Indirect Calorimetry ◽  
Transition Period ◽  
Laptop Computer ◽  
Experimental Conditions ◽  
Increase Energy Expenditure ◽  
Potential Benefits ◽  
Harmful Effects

Background:Identifying strategies to increase energy expenditure (EE) may help combat the harmful effects of sedentary behavior. This study examined EE during sitting, standing, and walking.Methods:Participants (N = 74) were randomized to 2 of the following activities: sitting using a laptop computer (SIT-C), sitting watching television (SIT-T), standing watching television (STAND), and walking at a self-selected pace ≤3.0 (mph) (WALK). Each activity lasted 15 minutes with a 3-minute transition period between activities. The experimental conditions were: SIT-C to STAND (N = 18), SIT-T to WALK (N = 18), STAND to SIT-C (N = 20), and WALK to SIT-T (N = 18). EE was measured using indirect calorimetry.Results:Based on the first activity performed, EE during WALK (55.92 ± 14.19 kcal) was significantly greater than SIT-C (19.63 ± 6.90 kcal), SIT-T (18.66 ± 4.01 kcal), and STAND (21.92 ± 5.08 kcal) (P < .001). Cumulative EE in SIT-T to WALK (74.50 ± 17.88 kcal) and WALK to SIT-T (82.72 ± 21.70 kcal) was significantly greater than EE in SIT-C to STAND (45.38 ± 14.78 kcal) and STAND to SIT-C (45.64 ± 9.69 kcal) (P < .001).Conclusions:Conclusion: Substituting periods of sitting or standing with walking significantly increases EE, but substituting periods of sitting with standing may not affect EE. Thus, the potential benefits of standing as opposed to sitting need further investigation beyond the role of EE.

scholarly journals Comparison of Predictive Equations for Resting Energy Expenditure in Overweight and Obese Adults

2011 ◽  
Vol 2011 ◽  
pp. 1-5 ◽  
Author(s):  
Erick Prado de Oliveira ◽  
Fábio Lera Orsatti ◽  
Okesley Teixeira ◽  
Nailza Maestá ◽  
Roberto Carlos Burini
Keyword(s):  
Body Mass Index ◽  
Energy Expenditure ◽  
Systematic Error ◽  
Indirect Calorimetry ◽  
Intraclass Correlation ◽  
Resting Energy Expenditure ◽  
Obese Adults ◽  
Predictive Equations ◽  
New Equation ◽  
Resting Energy

Objective. To compare values from predictive equations of resting energy expenditure (REE) with indirect calorimetry (IC) in overweight and obese adults.Methods. Eighty-two participants aged 30 to 60 years old were retrospectively analyzed. The persons had a body mass index ≥25 kg/m2. REE was estimated by IC and other five equations of the literature (Harris and Benedict, WHO1, WHO2, Owen, Mifflin).Results. All equations had different values when compared to those of IC. The best values were found by Harris and Benedict, WHO1, and WHO2, with high values of intraclass correlation coefficient and low values of mean difference. Furthermore, WHO1 and WHO2 showed lower systematic error and random.Conclusion. No predictive equations had the same values of REE as compared to those of indirect calorimetry, and those which least underestimated REE were the equations of WHO1, WHO2, and Harris and Benedict. The next step would be to validate the new equation proposed.

Validation of the SenseWear Armband as a Measure of Sedentary Behavior and Light Activity

2015 ◽  
Vol 12 (9) ◽  
pp. 1229-1237 ◽  
Author(s):  
Joel D. Reece ◽  
Vaughn Barry ◽  
Dana K. Fuller ◽  
Jennifer Caputo
Keyword(s):  
Steady State ◽  
Energy Expenditure ◽  
Sedentary Behavior ◽  
Indirect Calorimetry ◽  
Significant Interaction ◽  
Measurement Method ◽  
Strongly Correlated ◽  
Office Work ◽  
Sensewear Armband ◽  
Light Activity

Background:This study determined the validity and sensitivity of the SenseWear armband (SWA) during sedentary and light office duties compared with indirect calorimetry (IC).Methods:Participants (N = 22), 30 to 64 years of age, randomly performed 6 conditions for 5 minutes each (ie, supine, sitting no movement, standing no movement, sitting office work, standing office work, walking at 1.0 mph). Steady state for each activity (ie, average for minutes 4 and 5) was analyzed.Results:Energy expenditure (EE) for the SWA (1.58 kcal/min) and the IC (1.64 kcal/min) were significantly correlated, r(20) = 0.90, P < .001 and ICC = 0.90, 95% CI (0.699, 0.966). Correlation results for each condition varied in strength, r(20) = 0.53 to 0.83 and ICC = 0.49 to 0.81, but were all significant (P < .05). A significant interaction between measurement method and condition existed (P < .001). The SWA under predicted EE during standing with no movement, sitting office work, and standing office work.Conclusion:The SWA and IC EE rates were strongly correlated during sedentary and light activity office behaviors. However, the SWA may under predict EE during office work (standing or sitting) and when standing motionless, making it slightly less sensitive than IC.

Validity of the SenseWear Armband to Assess Energy Expenditure in Graded Walking

2015 ◽  
Vol 12 (2) ◽  
pp. 178-183 ◽  
Author(s):  
Gianluca Vernillo ◽  
Aldo Savoldelli ◽  
Barbara Pellegrini ◽  
Federico Schena
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Indirect Calorimetry ◽  
Mixed Model ◽  
Sensewear Armband ◽  
Mixed Model Anova ◽  
Significant Difference ◽  
Advance Research ◽  
Downhill Walking ◽  
Main Effects

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.

Energy Expenditure in Adolescents With Cerebral Palsy: Comparison of the SenseWear Armband and Indirect Calorimetry

2015 ◽  
Vol 12 (4) ◽  
pp. 540-545 ◽  
Author(s):  
Karsten Koehler ◽  
Thomas Abel ◽  
Birgit Wallmann-Sperlich ◽  
Annika Dreuscher ◽  
Volker Anneken
Keyword(s):  
Cerebral Palsy ◽  
Energy Expenditure ◽  
Children And Adolescents ◽  
Indirect Calorimetry ◽  
Treadmill Exercise ◽  
Reference Method ◽  
Field Studies ◽  
The Body ◽  
Sensewear Armband ◽  
Body Energy

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.

Evaluation of the SenseWear Mini Armband to Assess Energy Expenditure During Pole Walking

2014 ◽  
Vol 24 (5) ◽  
pp. 565-569 ◽  
Author(s):  
Gianluca Vernillo ◽  
Aldo Savoldelli ◽  
Barbara Pellegrini ◽  
Federico Schena
Keyword(s):  
Energy Expenditure ◽  
Indirect Calorimetry ◽  
Significant Interaction ◽  
Mixed Model ◽  
Total Energy Expenditure ◽  
Motion Sensor ◽  
Sensewear Armband ◽  
Mixed Model Anova ◽  
Main Effects ◽  
Pole Walking

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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