Official Journal of the American College of Sports Medicine Vol. 52 No. 5 Supplement S775 G-19 Thematic Poster - Environmental Table 1: Association between environmental factors and annual change to SB, LPA Determinants of Physical Activity and and MVPA Change in 30, 2020 MAY SATURDAY, Sedentary Behavior Change in Change in light- moderate-to- sedentary time intensity physical vigorous physical Saturday, May 30, 2020, 9:00 AM - 11:00 AM (minutes/day activity (minutes/ activity (minutes/ Room: CC-2007 per year) for day per year) Environmental day per year) a given unit for a given unit determinant for a given unit difference in the difference in the difference in the 3618 May 30 9:00 AM - 11:00 AM corresponding corresponding corresponding environmental environmental Chair: Eric J. Shiroma. National Institutes of Health, environmental factor factor Bethesda, MD. factor (No relevant relationships reported) Greenspace -2.34 (-4.30 to 2.00 (0.26 to 0.32 (-0.22 to (% within 800m -0.38) 3.74) 0.86) radius) 3619 Board #1 May 30 9:00 AM - 11:00 AM Road density 0.96 (-0.35 to -0.78 (-1.95 to -0.16 (-0.52 to Do Environmental Factors Predict Changes To Physical (km of road within 2.26) 0.38) 0.20) Activity And Sedentary Behaviour Equally? 800m radius) 1 1 1 1 Footpath density Tom Yates , Karen Appiah , Joe Henson , Charlotte Edwardson , 1.06 (-4.85 to -0.97 (-6.22 to -0.06 (-1.68 to 1 1 2 (km of footpath within Cameron Razieh , Francesco Zaccardi , David W. Dunstan , 6.96) 4.28) 1.56) Kamlesh Khunti1, Melanie Davies1. 1University of Leicester, 800m radius) Leicester, United Kingdom. 2Baker IDI Heart and Diabetes Intersections that are Institute, Melbourne, Australia. connected 6.41 (1.19 to -6.43 (-11.07 to -0.045 (-1.39 to Email: [email protected] (% within 800m 11.64) -1.79) 1.48) radius) (No relevant relationships reported) Air pollution (prevailing outdoor Purpose To investigate environmental determinants of change to sedentary behaviour (SB), nitrogen dioxide and light-intensity physical activity (LPA) and moderate-to-vigorous intensity physical particulate matter 1.42 (0.34 to -1.25 (-2.20 to -0.16 (-0.46 to activity (MVPA) in those at risk of diabetes. concentrations with 2.50) -0.29) 0.14) 800mx 800m area: Methods 2 NO2, PM2.5 and Cohort of 808 adults recruited from family practice (age = 63 years, BMI = 32 kg/m , 3 women = 36%) followed up annually over 3 years. Participants were included based PM10/μg·m ) th Fast Food on being above the 90 percentile of the Leicester Diabetes Risk Score, indicating a 1.09 (0.38 to -1.00 (-1.63 to -0.09 (-0.28 to (restaurants within high risk. SB, LPA and MVPA were measured by accelerometer (Actigraph GT3X) 1.80) -0.47) 0.11) using the Freedson cut-points with at least 4 valid days of data. Geographical and air 1km radius) pollution mapping were used to link environmental data to participant’s home address. Social deprivation Data were analysed using a repeated measures design assessing determinants of change (index of multiple 0.04 (-0.09, 0.18) -0.06 (-0.19, 0.07) 0.02 (-0.02, 0.06) to SB, LPA and MVPA. Results are presented as mean (SD) or mean (95% CI). deprivation score) Results Data as mean (95% CI). Adjusted for age, sex and ethnicity. Bold indicates At baseline, accelerometers were worn for an average of 649 (83) minutes/day, during significance (p < 0.05) which an average of 27 (25) minutes/day, 288 (77) minutes/day and 543 (100) minutes/ day were spent in MVPA, LPA and SB respectively. Across the study period, wear time did not change, whilst SB increased by 9 (7, 10) minutes /day per year, matched by a 3620 Board #2 May 30 9:00 AM - 11:00 AM decrease in LPA and MVPA of 7 (5, 8) and 2 (1, 2) minutes/day per year respectively. Differences In College Student Physical Activity Less green space, higher road connectivity (busier traffic), greater air pollution and a higher density of fast food restaurants were all determinants of increasing SB and Relative To Living Environment decreasing LPA (See Table 1), but none were associated with change to MVPA. Lucas D. Elliott, Oliver W.A. Wilson, Melissa Bopp, FACSM. Environmental factors were stronger determinants of change to SB and LPA than an The Pennsylvania State University, University Park, PA. overall index of social deprivation. (Sponsor: Dr. Melissa Bopp, FACSM) Conclusion Email: [email protected] In this high risk population, a less healthy environment predicted greater annual (No relevant relationships reported) increases in SB and decreases in LPA, but not MVPA. Policies and interventions aimed at improving the liveable environment may therefore act to slow the trajectory of BACKGROUND: Physical activity (PA) levels are decreasing among college increasing SB and decreasing LPA in populations at risk of diabetes. aged individuals in the US. To develop healthy behavior-change strategies for these individuals, a better understanding of their living environment is needed. PURPOSE: This study compared PA trends of college students relative to their living environment. METHODS: A volunteer sample of students (n = 338) from a large northeastern US university completed an online survey. Demographics, height/weight, frequency/ mode of active travel to/from campus, and amount of self-reported weekly PA were obtained. Students were dichotomized into groups depending on their self-reported walking time to campus (≥15 or <15 minutes), never walk or walk ≥ once/week to campus, and if they have a bus pass or not. An equipment index was created using the participants self-reported responses to their access of multiple types of recreational facilities/equipment at their home (e.g. treadmill, pool, etc.). These groups were compared to moderate PA (MPA), strength training (ST), vigorous PA (VPA) minutes, and walking time to campus using t-tests. RESULTS: Participants were primarily white (n = 182, 60.3%) and majority were female (n=153, 50.5%). Students that live ≥ 15 minutes from campus had significantly lower levels of weekly MPA (p = .024), METS (p = .021), and ST (p = .002). Weekly MPA, METS, and ST (p < .05) were also significantly lower in students who did not walk to campus at least once a week. Students that had access to a bus pass showed lower amounts of MPA, METS, and ST per week (p < .05). Students who did not walk once a week to campus and those who lived ≥ 15 minutes away from campus had significantly higher accessibility to exercise equipment. CONCLUSIONS: There were significant differences in the amount of weekly PA for those living further from campus. Even though students showing higher Abstracts were prepared by the authors and printed as submitted. S776 Vol. 52 No. 5 Supplement MEDICINE & SCIENCE IN SPORTS & EXERCISE® accessibility to exercise equipment live further away, they are more likely to use non- associated (p<.05) with all fitness variables except MS.CONCLUSION: Our novel active travel methods. Active travel, especially in college students, is shown to be an findings suggest the neighborhood built environment has the potential to support and important and significant variable to increase and meet weekly PA levels. promote higher fitness levels in adults. 3621 Board #3 May 30 9:00 AM - 11:00 AM 3623 Board #5 May 30 9:00 AM - 11:00 AM Age-difference In The Association Of Built Environment Features Of Neighborhood Parks Associated With Use With Walking In Older Adults And Physical Activity In Knoxville, Tn Chia-hui CHANG1, Hung-Yu Chang Chien1, Ting-Fu Lai1, Eugene C. Fitzhugh, Cristina S. Barroso. University of Ming-Chun Hsueh2, Yung Liao1. 1National Taiwan Normal Tennessee, Knoxville, Knoxville, TN. University, Taipei, Taiwan. 2University of Taipei, Taipei, Taiwan. Email: [email protected] Email: [email protected] (No relevant relationships reported) (No relevant relationships reported) Visits by people to local neighborhood parks for moderate-to-vigorous physical PURPOSE: It remains unclear whether the relationship between built environment activity (MVPA) may relate to the design of the park. The number, and condition, of and walking behavior differ by age groups. Therefore, this study aimed to examine facilities and amenities integrated into the park design can create a variety of potential SATURDAY, MAY 30, 2020 MAY SATURDAY, age-related differences in associations of built environmental attributes with walking activity zones for MVPA. PURPOSE: To understand how park users acquire MVPA in older Taiwanese adults.MTHODS: This study was based on a cross-sectional across a variety of park features within the City of Knoxville, a mid-sized city in telephone survey using a computer-assisted telephone interviewing, targeting the Appalachian region. METHODS: Physical activity, both active and passive, 1,068 older Taiwanese adults (over 65 years) in 2017. Time spent in walking was was assessed at 12 parks equally distributed across the City of Knoxville Parks and measured by the short version of the International Physical Activity Questionnaire. Recreation Planning sectors. The System for Observing Play and Recreation in Built environmental attributes were assessed by geographic information systems Communities (SOPARC) was used to directly observe activity over two weeks, a (GIS), including population density, street connectivity, sidewalk availability, week in October 2018 and a week in March 2019. Observations covered 4 days of the leisure destinations, utilization destinations & access to public transportation. week at three different time points. Across all parks, 42 scan zones were identified and Adjusted binary logistic regression models adjusting for potential confounders categorized into 6 physical activity zones (athletic field, athletic court, playground, were employed to examine the relationships between the seven built environment open space, pavilion + athletic field, and pavilion + open space).