|Deborah, Thompson - BAYLOR COLLEGE OF MED|
|Watson, Kathy - BAYLOR COLLEGE OF MED|
Submitted to: Annals of Behavioral Medicine
Publication Type: Abstract Only
Publication Acceptance Date: November 1, 2003
Publication Date: March 24, 2004
Citation: Deborah, T., Baranowski, T., Cullen, K., Watson, K., Zakeri, I. 2004. Relationship between home-food-purchasing-patterns and BMI in a multi-ethnic sample. Annals of Behavioral Medicine. 27(Supplement):S086. Interpretive Summary: Not required for an abstract.
Technical Abstract: Adults are typically responsible for planning and purchasing foods for home consumption. Thus, they control home food availability and accessibility, which influence consumption. Food shopping patterns likely affect home food availability and accessibility. Little is known about adult food shopping patterns or the relationship between food shopping patterns and BMI. This study examined these relationships in a multi-ethnic sample of adults with children living at home. Intercept interviews were conducted with 832 grocery shoppers. Census tract data were used to select stores, systematically varying store size, in predominantly African-, Asian-, Euro-, and Hispanic-American areas. Self-reported ht and wt were used to calculate BMI. Compared to shoppers with BMI <=25, those with BMI >25 were more likely to be Hispanic or African-American, male, middle-aged, with <=some college and usually shopped during the week at a store 2-5 miles from home. Compared to shoppers with BMI <=25, those with BMI >25 were more likely to make 1-2 big shopping trips per month, rather than more frequent trips. This relationship disappeared after controlling for ethnicity. When compared to those with BMI <=25, 19-39 year olds with BMI >25 shopped for FV at convenience stores <=weekly (75%), while 40-59 (62%) or 60+ (70%) year old shoppers with BMI >25 were more likely to never shop there for FV. African-Americans with BMI >25 were most likely to check the store for sale items (68%), while Asians with BMI >25 were least likely to do so (28%). Analyses were conducted using generalized linear models. In conclusion complex relationships exist among BMI, demographics, and food shopping patterns. More research is needed to understand these relationships and implications for obesity prevention.