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Official Journal of the American College of Sports Medicine 1413 Board #5 May 30, 2:00 PM - 3:30 PM Effect Of seasonality and Temperature On Free-living Physical activity: PaMs Project Jung-Min Lee, Youngwon Kim, Sarah M. Nusser, Alicia L. Carriquiry, Gregory J. Welk, FACSM. Iowa Sate University, Ames, IA. (No relationships reported) Considerable work has been done to understand aspects of the built environment but few studies have systematically studied the effect of weather temperature on PA behavior. Cold weather and lack of daylight are commonly cited as barriers to PA but the impact has not been systematically studied. PurPOsE: The present study fills this gap by examining the weather temperature variability in PA in a free-living population. The study capitalizes on a unique dataset collected through the Physical Activity Measurement Study (PAMS), a large fieldbased study of PA behavior conducted in Iowa. METhOd: A representative sample of 1405 adults (ages 21-70) wore a SenseWear Mini Armband (SWA) for a randomly assigned day and then completed a 24PAR survey administered by a trained interviewer using a computerized telephone system. Estimates of minutes of moderate and vigorous physical activity (MVPA) were obtained from both instruments. The data were collected over a two year time span with an average of 19.7 ± 5.5 days per month so means reflect seasonal variation in this representative sample. Koppen’s weather climate classification was used to specifically classify the temperature: cold (-13 to 32ºF), cool (32 to 50 ºF), mild (50 to 64ºF), warm (64 to 73 ºF), and hot (73 to 95 ºF). A three-way ANOVA (gender x age group x temperature) was used to examine the impact of weather temperature variability on the objectively and subjectively monitored physical activity. rEsuLT: The overall F-test for the evaluation of temperature differences was significant (SWA: F = 8.05, p < .001, 24PAR: F=2.54, p < .001). There was significant main effect for gender in SWA and 24PAR, and a significant main effect for age for the SWA. Interestingly, the main effect of temperature was not significant for either measure. The minutes of MVPA (mean ± SD) were consistent across the 5 temperature codes for both the SWA (117.4 ± 4.9) as well as the 24PAR (139.1 ± 10.2). Similar patterns of consistent PA levels were observed when examined across the 12 months. CONCLusION: The present study revealed the expected patterns for age group and gender but rather subtle differences in MVPA minutes with both objective and subjective methods across temperature conditions. The results discount the widely assumed notion that physical activity levels are lower in winter when weather is colder. 1414 Board #6 May 30, 2:00 PM - 3:30 PM Validation of the senseWear armband in Estimating Energy Expenditure in Professional Female soccer Players Bei Wang, Chen Wang, Fenglei Qian, Defeng Zhao, Haiyan Zhao. Shanghai Research Institute of Sports Science, Shanghai, China. (No relationships reported) Maintaining energy balance is important for optimal body composition and exercise performance in athletes. However, the total daily energy expenditure in athletes is not easily measured. A portable device, the SenseWear armband (SWA), was shown to be valid in estimating energy expenditure in free-living individuals at rest and during lowto-moderate intensity activities. However, whether the SWA is reliable in estimating energy expenditure during exercise in professional athletes is not known. PurPOsE: To assess the validity and reliability of the SWA in professional female soccer players at various exercise intensities. METhOds: After 2-hour fasting, nine professional female soccer players (19.2±1.4 yrs) rested at sitting position for 10 minutes and then performed four 10-min treadmill runs at 50, 65, 75, and 85% of their VO 2max each. Energy expenditure was assessed with SWA and a portable indirect calorimetry (IC).They were asked to rest between each trial to allow their heart rate recovery below 100 bpm before start of the next trial. Heart rate was monitored during the whole process. rEsuLTs: The intra-individual minute-by-minute correlations between energy expenditure assessed by the SWA and IC were significant for all nine subjects (r=0.879-0.987, mean=0.95±0.01). However, energy expenditure calculated by the SWA and IC was significantly different at all trials except when running at 65%VO2max (p
<strong>Thursday</strong>, May 30, 2013 S270 Vol. 45 No. 5 Supplement 1417 Board #9 May 30, 2:00 PM - 3:30 PM Estimation Of steps recorded By The sensewear armband during Treadmill Walking and Free-living Jeff C. Mathis, Laura A. Wheatley, Joey A. Lee, Dale D. Brown, Dr, FACSM, Kelly R. Laurson, Dr. Illinois State University, Normal, IL. (No relationships reported) The Sensewear Armband (SWA) is relatively accurate when used to assess daily energy expenditure and is increasingly being used by clinicians and researchers during physical activity interventions. However, the layperson may have difficulty interpreting SWA physical activity metrics such as minutes of moderate activity or kilocalories expended in regard to goal-setting. Steps per day is a more interpretable metric that could be used instead, if measured accurately by the SWA. PurPOsE: To compare estimations of steps taken by the SWA during treadmill walking and free-living. METhOds: Healthy adult participants (n = 41, mean age = 21.9 ± 2.0 years) wore the SWA during five 3-minute stages of treadmill walking at 54, 67, 80, 94, and 107 meters per minute while steps were also counted using a manual counter (serving as the treadmill criterion). Additionally, during three days of free-living, the subjects also wore the SWA and a pedometer that has been previously validated for research purposes (Yamax Digiwalker SW-701 pedometer [DIGI], serving as the free-living criterion). SWA performance was evaluated using Pearson’s correlation coefficients and paired-samples t-tests against the respective criterion method. rEsuLTs: During treadmill walking, steps recorded by the SWA were significantly correlated with manually counted steps. The strength of the association tended to increase as walking speed increased (r = 0.37, 0.47, 0.69, 0.77, and 0.78 at 54, 67, 80, 94, and 107 meters per minute, respectively). However, the results of the t-tests indicated that the SWA significantly underestimated steps taken at each speed (mean percent difference from criterion ranged from 16.0% to 5.6%, all p < 0.05). In contrast, during free-living, the SWA significantly overestimated steps taken in comparison to the DIGI by an average of 1,023 steps per day (11.3% difference, p < 0.001). Although the correlation between mean steps taken per day between the SWA and DIGI was strong (r = 0.96, p < 0.001). CONCLusIONs: Under controlled conditions the SWA significantly underestimated steps. During free-living conditions the SWA appears to significantly overestimate steps, perhaps over-counting during non-ambulatory activity. Clinicians and researchers should use caution in setting stepping goals with the SWA during activity interventions. 1418 Board #10 May 30, 2:00 PM - 3:30 PM Inter-instrument reliability Of Gt3x accelerometers In a Free-living Condition Emily E. Davis, Wonwoo Byun, Cemal Ozemek, Leonard A. Kaminsky, FACSM. Ball State University, Muncie, IN. (No relationships reported) Accelerometers have the advantage of providing objective measures of both physical activity performed at various intensities and of sedentary time. Actigraph accelerometers are widely used, however with technological advancements new models are periodically released. The GT3X is the most recent model. Although research has shown previous Actigraph models to be reliable, little information is available on the inter-instrument reliability of GT3X accelerometers. PurPOsE: To determine inter-instrument reliability of GT3X accelerometers measures of physical activity and inactivity in a free-living condition. METhOds: Sixteen women and 11 men (age 24.6 ± 9.9 yr, BMI 24.1 ± 3.6 kg/m2) wore two accelerometers simultaneously, one on the left and one on the right hip, for >4 consecutive days. Accelerometers were initialized to collect step counts and activity counts/minute (cpm), simultaneously. Activity counts (60 sec epochs) were categorized into time spent in sedentary (
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