Downloaded from http://journals.lww.com/acsm-msse by BhDMf5ePHKbH4TTImqenVCujjNLp0k9k/P/eK0cqxrR5Y4/pZFfGruA5eMlxv6biRAXt0L7Pbqk= on 07/02/2020 489 p<.05). Relative to lesson context, before-school sessions provided the highest percent of time spent on fitness (88.0%±14.8) and lunch recess provided the highest skill practice time (52.8%±41.8). CONCLUSION: All programs contributed to the PA accrual of children with ID. PA minutes and intensity, however, varied by school setting and were related to lesson/session context--thus providing information important for designing effective interventions for this special population. Supported by GRF, University Grant Committee, Hong Kong (CUHK 752712) 1795 Board #6 June 2, 1:00 PM - 3:00 PM Improving Accelerometry Derived Estimations of Energy Expenditure in Individuals with Locomotor Dysfunction James J. Laskin 1 , Tidaporn Tairattanasuwan 2 , Utit Rungsawat 2 , Nitinet Ketsuwan 2 , Marek Szczepkowski 3 , Jan Kochanowski 4 , Piotr Czyzewski 3 , Daniel Malzcewski 3 , Bartosz Molik 4 . 1 The University of Montana, Missoula, MT. 2 Chiang Mai University, Chiang Mai, Thailand. 3 Bielanski Hospital, Warsaw, Poland. 4 Józef Piłsudski University of Physical Education, Warsaw, Poland. (Sponsor: Charles Dumke, FACSM) Email: james.laskin@umontana.edu (No relationships reported) Accelerometry has become widely used to determine energy expenditure (EE) and daily physical activity patterns in a variety of able-bodied populations. The reliability and validity of this device has been well documented in the able-bodied population, however the assumption has been that the prediction equations used are appropriate for use in those with locomotor dysfunction (LD). PURPOSE: The purpose of this study was two fold: 1) to examine the validity of the able-bodied prediction equations in a heterogeneous group of individuals with LD and 2) determine the effectiveness of using clinical measures of locomotor function to improve the prediction of EE in this population. METHODS: Actical ™ accelerometers were placed bilaterally on the wrists and ankles of 90 individuals (18 to 91 yrs). Diagnoses included stroke, MS, brain injury, arthritis, congenital deformity, and other orthopedic/neurological conditions. An Oxycon Mobile metabolic system was used to collect and determine actual EE (AEE). Baseline AEE was determined with the participants supine for 5 min, followed by 5 min of quiet standing, 5 min of a sweeping/vacuuming task, 5 min walking at a self-determined comfortable pace and completing a 6 minute walk test (6MWT). The Timed Up and Go (TUG), 10 Meter Walk (10W), 30-second Chair Stand (30CS), and 4 stage standing balance (4SB) were used a determinants of ambulatory function. RESULTS: The AEE was found to be significantly higher then the PEE (p<0.05) at both the wrist and ankle. The correlations between AEE and the 4 Actical TM sites were poor and not significant. The activity counts (AC) at the bilateral wrist and ankle sites were poorly correlated. Backwards regression, produced an R=0.718 and used the variables of gender, weight, age, 30CS, 4SB, the fast 10mW, and fast 10mW – slow 10mW. CONCLUSION: We found the AEE was consistently under predicted in people with LD. In contrast to the able-bodied there is no correlation between measures of EE and AC regardless of the measurement site. This study demonstrates that with the addition of a few clinical indicators of locomotor function it is possible to improve the prediction of EE in individuals with LD. 1796 Board #7 June 2, 1:00 PM - 3:00 PM Reliability Of Step Counts Measured By Activity Monitors In Patients With Abnormal Gait Tomohiro Oba 1 , Hiroaki Iwase 2 , Kojiro Ishii 1 . 1 Doshisha University, Kyotanabe-shi,kyoto-fu, Japan. 2 Kyoto Tachibana University, Kyoto, Japan. (Sponsor: Susumu Sawada, FACSM) Email: hrndn660@yahoo.co.jp (No relationships reported) Few studies reported reliability of step counts measured by activity monitors, low walking speed and differences of attachment side such as affected side (A/S) or unaffected side (U/S) for stroke survivors influence it. However, the conditions of that are yet unclear for the patients with abnormal gait. PURPOSE: To investigate the devices and conditions under which reliable step count measurements can be obtained in patients with abnormal gait using several activity monitors. METHODS: The subjects were 32 hospitalized patients (12 patients with femoral fracture; 8 patients with spomdylapathies; 5 patients with cerebrovascular disease; 7 patients with other conditions). Four types of activity monitors were used: monitors with triaxial accelerometers, biaxial accelerometers, uniaxial accelerometers, and spring-levered pedometers. Measurements were performed by attaching an activity monitor to the left and right sides (A/S, U/S) and then having a patient walk 25 m at their normal speed. This task was performed 4 times using all the activity monitors. For statistical analysis, the dependent variables were 2 groups with measurement error [(activity monitor step count - actual step count) / actual step count × 100] ± 3% (Japanese Industrial Standards of pedometer) as the dividing line and the independent variable was walking speed. The cut-off velocity (COV) and area under the curve (AUC) was determined from receiver operating characteristic (ROC) curves for each activity monitor attachment side. RESULTS: The mean walking speed was 0.78 ± 0.29 m/s. Based on the ROC curve results for the monitors with triaxial accelerometers (U/S; COV: 0.9 m/s, AUC: 0.99, p<.01, A/S; COV: 0.99 m/s, AUC: 0.85, p<.01), biaxial accelerometers (U/S; COV: 1.04 m/s, AUC: 0.81, p<.05, A/S; COV: 0.97 m/s, AUC: 0.80, p<.01), and spring-levered pedometers (A/S; COV: 1.00 m/s, AUC: 0.80, p<.05), it was easier to obtain a measurement error of less than 3% at a higher COV. Significant results were not obtained for the other combinations. CONCLUSIONS: This study suggests that the condition is walking speed higher than 0.9 to 1.0 m/s for measurement of step count of patients with abnormal gait. In addition, the better devices are triaxial and biaxial accelerometers. Spring-levered pedometers are also reliable, but only affected side. 1797 Board #8 June 2, 1:00 PM - 3:00 PM Sedentary Time among Adults with Chronic Obstructive Respiratory Conditions Shilpa Dogra. University of Ontario Institute of Technology, Oshawa, ON, Canada. Email: shilpa.dogra@uoit.ca (No relationships reported) Asthma and chronic obstructive pulmonary disease (COPD) are prevalent conditions that affect 1 in 12 and 1 in 6 Canadians, respectively. Asthma-COPD overlap syndrome (ACOS) has been shown to affect between 15-20% of those with COPD. However, little is known of sedentary time in any of these groups. Given the health consequences of sedentary time, reduction interventions may be an important avenue for improving health among those with chronic obstructive respiratory disease. PURPOSE: To describe self-reported weekly sedentary time, and to determine the association between sedentary time and health outcomes among adults with asthma, COPD or ACOS. METHODS: A sample of adults from the Canadian Community Health Survey (2011-2012) was used for analysis. Average weekly sedentary time in the past 3 months was categorized in 5 hour increments and dichotomized as >29 hours or <29 hours; this cut-point represents 4 hours of sedentary time per day. Self-reported physician diagnosed asthma and COPD were used to categorize respiratory conditions. Respondents with both COPD and asthma were classified as ACOS. Each category was exclusive of the other. Perceived health, mood disorder (depression) and high blood pressure were used as outcomes. RESULTS: Of those with ACOS (n=1,673), 29.4% were sedentary for 45 or more hours per week. Similarly, 27.6% of those with COPD (n=3,290) and 16.7% of those with asthma (n=6,151) were sedentary for 45 or more hours per week. In models adjusted for age, sex, physical activity levels and presence of cardiometabolic disease (diabetes, heart disease or stroke), adults with asthma, COPD and ACOS had a 21% (OR: 1.21, CI: 1.10-1.28), 70% (OR: 1.70, CI: 1.52-1.90) and 75% (OR: 1.75, CI: 1.50-2.04) higher odds of being sedentary for 29 or more hours per week compared to those with no respiratory conditions. Similarly, in fully adjusted models, individuals with asthma and Copyright © 2016 by the American College of Sports Medicine. Unauthorized reproduction of this article is prohibited.