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.
Gianluca Vernillo, Aldo Savoldelli, Barbara Pellegrini and Federico Schena
Alicia Ann Thorp, Bronwyn A. Kingwell, Coralie English, Louise Hammond, Parneet Sethi, Neville Owen and David W. Dunstan
To determine whether alternating bouts of sitting and standing at work influences daily workplace energy expenditure (EE).
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.
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).
Intermittent standing at work can modestly increase daily workplace EE compared with seated work in overweight/obese office workers.
Stijn De Baere, Renaat Philippaerts, Kristine De Martelaer and Johan Lefevre
Our aim was to investigate the association between different components of physical activity (PA) and health-related fitness in 10-to 14-year-old children.
241 children were recruited from 15 primary and 15 secondary schools. PA was assessed using the SenseWear Mini and an electronic diary. Health-related fitness was assessed using Eurofit and translated into indicators of body fatness, cardiorespiratory fitness and muscular fitness. Associations between PA intensity and physical fitness components were determined using multiple linear regression models adjusted for possible confounders and the contribution of PA domains per intensity categories was calculated.
Associations between PA intensities and body fatness were low to moderate (|β| = 0.09 to 0.44), explaining up to 6% of the variance in boys and 17% in girls. For cardiorespiratory fitness, associations were higher (|β| = 0.17 to 0.56), with PA explaining up to 6% of the variance in boys and 31% in girls. Low-tomoderate associations (|β| = 0.06 to 0.43) were found for muscular fitness, with PA explaining up to 7% in boys and 13% in girls. Stronger associations were found for sedentary and light activities.
Low-to-moderate associations between PA and fitness components were observed, with higher associations in girls. Sedentary and light intensity activity showed the strongest link with body fatness, cardiorespiratory fitness and muscular fitness.
Sarah J. Woodruff and Renee D. Meloche
Female athletes should aim to achieve energy balance to maintain health and have a high performance output. The purpose of this study was to investigate energy availability (EA) among members of a medium-size Canadian Interuniversity Sport women’s volleyball team and to describe exercise energy expenditure (ExEE) during practices, game warm-ups, and games. Total daily energy expenditure was assessed over 7 d using the Bodymedia Sensewear Mini armband, while energy intake (EI) was measured with dietary food logs. Body composition was assessed using air-displacement plethysmography (Bod Pod). Energy availability was calculated using the equation EA = (EIkcal – ExEEkcal)/kg fat-free mass (FFM). Participants consumed 3,435 (± 1,172) kcal/day and expended 3479 (± 604) kcal/day. Mean EA was 42.5 kcal · kg FFM-1 · d-1 across all 7 d, and 2 participants fell below the 30-kcal · kg FFM-1 · d-1 threshold. Furthermore, participants expended 511 (± 216), 402 (± 50), and 848 (± 155) kcal during practices, game warm-ups, and games, respectively. Overall, the participants were relatively weight stable and should be encouraged to continue fueling their exercise and high ExEE needs with appropriate nutritional strategies.
Stijn De Baere, Jan Seghers, Renaat Philippaerts, Kristine De Martelaer and Johan Lefevre
to investigate levels of physical activity (PA) and sedentary behavior (SB) in 10- to 14-year-olds and to determine PA differences between week-weekend days, genders and school stages.
241 children were recruited from 15 primary and 15 secondary schools. PA was assessed for 7 days using the SenseWear Mini Armband and an electronic diary. Week-weekend and gender differences were determined using 2-way repeated-measures ANOVA. Combined intensity- and domain-specific PA differences between genders and school stages were examined using 2-way ANOVA.
Weekdays were more active compared with weekend days. Physical activity level (PAL) of boys was higher compared with girls. Boys showed more moderate (+15 min/day) and vigorous PA (+9 min/day), no differences were found for SB and light PA. Secondary school children showed more SB (+111 min/day), moderate (+8 min/day) and vigorous (+9 min/day) PA and less light PA (-66 min/day) compared with primary school children. No difference was found for PAL. The results of the combined intensity- and domain-specific parameters revealed more nuanced differences between genders and school stages.
Our results demonstrate the complexity of PA and SB behavior of children, indicating the need for a multidimensional and differentiated approach in PA promotion.
Sofie Martien, Christophe Delecluse, Jan Seghers and Filip Boen
The primary purpose of this study was to assess the validity of two motion sensors in measuring steps in institutionalized older adults during daily life activities. Sixty-eight nursing home residents (85.8 ± 5.6 years) were equipped with a hip-worn and ankle-worn piezoelectric pedometer (New Lifestyles 2000) and with an arm-mounted multisensor (SenseWear Mini). An investigator with a hand counter tallied the actual steps. The results revealed that the multisensor and hip- and ankle-worn pedometer significantly underestimated step counts (89.6 ± 17.2%, 72.9 ± 25.8%, and 20.8 ± 24.6%, respectively). Walking speed accounted for 41.6% of the variance in percent error of the ankle-worn pedometer. The threshold value for accurate step counting was set at 2.35 km/hr, providing percent error scores within ± 5%. The ankle-worn piezoelectric pedometer can be useful for accurate quantification of walking steps in the old and old-old (> 85 years) walking faster than 2.35 km/hr.
Yvonne G. Ellis, Dylan P. Cliff, Steven J. Howard and Anthony D. Okely
, gastrocnemius and soleus length, and balance ( Appendix ). Compensation Data Energy Expenditure As there is a possibility that children may compensate for sitting less and engaging in more PA by being less active afterward, participants wore a SenseWear Mini Armband (BodyMedia) on the upper arm for 48 hours
Charity B. Breneman, Christopher E. Kline, Delia West, Xuemei Sui and Xuewen Wang
a covariate in the analyses. MVPA time The SenseWear mini armband (BodyMedia Inc., Pittsburgh, PA) was worn by all participants at baseline during the same time period as the GT3X+ to measure the amount of time spent in MVPA. There was also a subsample of women ( n = 44) who wore the monitor at mid
Nicola D. Ridgers, Karen E. Lamb, Anna Timperio, Helen Brown and Jo Salmon
effects on precision . J Phys Act Health . 2008 ; 5 ( suppl 1 ): S98 – S111 . doi:10.1123/jpah.5.s1.s98 10.1123/jpah.5.s1.s98 37. Lee JM , Kim Y , Bai Y , Gaesser GA , Welk GJ . Validation of the SenseWear mini armband in children during semi-structure activity settings . J Sci Med Sport
Amanda E. Paluch, Robin P. Shook, Gregory A. Hand, Daniel P. O’Connor, Sara Wilcox, Clemens Drenowatz, Meghan Baruth, Stephanie Burgess and Steven N. Blair
every 3 months, participants completed simultaneous assessments of PA and life event occurrences. The SenseWear mini armband (BodyMedia, Inc, Pittsburgh, PA) objectively measured PA. The armband is worn on the upper left arm over the triceps muscles and collects estimated PA using a combination of