Thursday-Abstracts

Official Journal of the American College of Sports Medicine
weekend screen time was obtained by combining questions for watching TV, watching
DVDs or videos, video/computer games, and internet/computer usage. Two questions
asked about phone use on weekdays and weekends. Response options ranged from
“none” to “6+ hours” per day and weighted averages provided average weekly screen
time and phone use. Participants reported demographics and perceived neighborhood
environment. Measured height and weight were used to calculate Body Mass Index
(BMI) z-score. The participant’s parent/guardian completed the Physical Activity
and Media Inventory to assess the home screen media environment. Geographic
Information Systems software was used to create a “walkability” score for a 1-mile
buffer around the participant’s home. Hierarchical regression analyses were conducted
to predict follow-up screen time and phone use.
rEsuLTs: The full model for screen time, which controlled for baseline screen time
and demographics, indicated that the size of the primary TV significantly predicted
follow-up screen time (Coeff [SE]= 84.5 (43.01), p= 0.05). Marginally positive
associations were detected for the percent of children’s bedrooms with TVs (Coeff
[SE]= 76.6 [42.2], p= 0.07) and having cable service (versus no cable or no TV) (45.2
[25.17], p= 0.07). For females’ phone use, baseline perceived lack of neighborhood
safety (7.4 [3.49]) and BMI z-score (21.7 [10.24]) were both positively associated with
follow-up phone use (both p=0.04). There were no significant predictors of phone use
for males.
CONCLusIONs: Home environment variables significantly predicted screen time for
both genders while, for phone use, the neighborhood environment was influential for
females. Interventions to reduce screen time may want to focus on changing the home
environment while, for reducing phone use, the safety of the larger neighborhood may
be an intervention target for female youth.
1181 Board #126 May 30, 8:00 AM - 9:30 AM
a survey of Physical activity and Medical Expense among
Chinese College Freshmen
Hongjun Yu 1 , Zhu Weimo, FACSM 2 , Zhang Chenggang 1 , Jun
Qiu 1 . 1 Tsinghua University, Beijing, China. 2 University of Illinois
at Urbana-Champaign, Illinois, IL. (Sponsor: Weimo Zhu,
FACSM)
(No relationships reported)
PurPOsE: To investigate the relationship between physical activity (PA) and medical
expense among the Chinese college freshmen.
METhOds: 7 days’ self-report PA data of the freshmen from a major China research
university (N = 3085, aged 18.2±0.9 yr., male = 2063& female = 1022; height =
171.4±7.8 cm; weight = 62.6±13.6 kg& BMI = 21.2±3.8) were collected and analyzed
using the International Physical Activity Questionnaires (IPAQ-short version). In
addition, their medical expense during the previous year was also collected through
self-reporting. The data were analyzed using both correlation and t-test.
rEsuLTs: The Chinese college freshmen spent 89.46±104.27 min for vigorous PA
192.49±179.21 min, for moderate PA and 64.35±110.92 min for walking. The mean
of medical expense was 797.10 RMB with a SD of 755.21 RMB. The correlation
between medical expense and vigorous, moderate, walking and siting were r = 0.211,
0.133,0.051 r=-0.039, respectively. . When classifying medical expense into Q1-Q4
groups (Q1=0 RMB, Q2=1-1000RMB, Q3=1001-3000RMB, Q4=3000+ RMB), it was
found that those who spent less in medicine exercised more (Table 1)
CONCLusION: There is a trend that college students who exercise more, especially
vigorous PA, tend to spend less in medicine.
Table 1 Descriptive statistics of PA by all four medical expense groups
Groups Group 1 Group 2 Group 3 Group 4
Category N Mean±SD N Mean±SD N Mean±SD N Mean±SD
Vigorous(minutes/week) 135 111.3±125.8 2345 89.2±105.3 475 87.2±98.1 73 79.1±90.0
Moderate(minutes/week) 135 186.5±157.2 2345 194.2±182.6 475 193.8±175.1 73 162.1±183.0
Walk(minutes/week) 135 54.0±102.6 2345 62.2±108.6 475 74.7±123.4 73 79.0±117.4
sitting(hours/day) 128 9.0±3.0 2292 9.2±8.3 463 9.1±2.7 71 8.9±2.9
1182 Board #127 May 30, 8:00 AM - 9:30 AM
The College alcohol Environment’s affect on student
alcohol Consumption and Physical activity
Mallory M. Koenings 1 , Kendra K. Kattelmann 2 , Melissa Olfert 1 .
1 West Virginia University, Morgantown, WV. 2 South Dakota State
University, Brookings, SD.
(No relationships reported)
This is an ancillary study of YEAH Project, a randomized controlled trial to investigate
the effectiveness of a web-delivered, theory-based educational intervention to prevent
excessive weight gain in college students.
PurPOsE:To examine 1) associations between distance to the nearest alcohol outlet
(AO) and alcohol outlet density (AOD) around students’ residences and their alcohol
consumption; and 2) associations between students’ alcohol consumption and physical
activity (PA).
Vol. 45 No. 5 Supplement S223
METhOds: Students on 13 campuses in January and February 2011 provided
addresses (n=1491, 465 males, 982 females). Lists of active liquor licenses were
obtained from city and state government agencies. Geographic Information Systems
software was used to calculate distance from students’ residences to the nearest AO
and AOD at six different radii (0.1, 0.25, 0.5, 1, 2, and 5 miles) surrounding student’s
residences. Alcohol consumption was measured in terms of exceeding the 2010
Dietary Guidelines for Americans (DGAs) recommendation for alcohol and binge
drinking. PA was measured in terms of meeting the 2008 Physical Activity Guidelines
for Americans (PAGs) for moderate (MPA) and vigorous (VPA). Multiple logistic
regressions were used to test the associations listed above while adjusting for gender,
region of the US, age, race/ethnicity, and smoking status.
rEsuLTs: Students living more than 1 mile from the nearest AO were 2.6 times more
likely not to binge drink compared to students who lived less than 0.25 miles from the
nearest AO (OR=2.62, 95% CI= 1.43-4.82, p