Young adult eating and food-purchasing patterns food store location and residential proximity.
BACKGROUND
Young adulthood is a critical age for weight gain, yet scant research has examined modifiable contextual influences on weight that could inform age-appropriate interventions.


OBJECTIVE
The aims of this research included describing where young adults eat and purchase food, including distance from home, and estimating the percentage of eating/purchasing locations contained within GIS-generated buffers traditionally used in research.


METHODS
Forty-eight participants (aged 18-23 years, n=27 women) represented diverse lifestyle groups. Participants logged characteristics of all eating/drinking occasions (including location) occurring over 7 days (n=1237) using PDAs. In addition, they recorded addresses for stores where they purchased food to bring home. Using GIS, estimates were made of distances between participants' homes and eating/purchasing locations. Data collection occurred in 2008-2009 and data analysis occurred in 2010.


RESULTS
Among participants living independently or with family (n=36), 59.1% of eating occasions were at home. Away-from-home eating locations averaged 6.7 miles from home; food-shopping locations averaged 3.1 miles from home. Only 12% of away-from-home eating occasions fell within -mile residential buffers, versus 17% within 1 mile and 34% within 2 miles. In addition, 12%, 19%, and 58% of shopping trips fell within these buffers, respectively. Results were similar for participants residing in dormitories.


CONCLUSIONS
Young adults often purchase and eat food outside of commonly used GIS-generated buffers around their homes. This suggests the need for a broader understanding of their food environments.
Laska
Melissa Nelson
MN
University of Minnesota, Minneapolis, 55454, USA. mnlaska@umn.edu
Graham
Dan J
DJ
Moe
Stacey G
SG
Van Riper
David
D
D000293:Adolescent; D004779:Environment Design; D005247:Feeding Behavior; D005260:Female; D019649:Food Industry; D005523:Food Supply; D040362:Geographic Information Systems; D006801:Humans; D008297:Male; D012111:Residence Characteristics; D013334:Students; D015430:Weight Gain; D055815:Young Adult