Statistical analysis
Of the 968 participants, we sequentially excluded 106 persons
with missing values on personal characteristics, 7 with no data on
weekly fast-food consumption, 5 lacking perception data and 1
missing geospatial data. After excluding another 11 participants with
neutral responses to the perceived fast-food availability question,
838 participants remained for analysis. Analyses were performed
using the PROC LOGISTIC statement in SAS v9.2. (Cary, NC). To
address our research question, unadjusted and adjusted multinomial
logistic regression models were constructed to test the
association between weekly fast-food consumption and both the
perceived availability of fast food and the GIS-based presence of fastfood
outlets within a person’s neighborhood.
Statistical analysisOf the 968 participants, we sequentially excluded 106 personswith missing values on personal characteristics, 7 with no data onweekly fast-food consumption, 5 lacking perception data and 1missing geospatial data. After excluding another 11 participants withneutral responses to the perceived fast-food availability question,838 participants remained for analysis. Analyses were performedusing the PROC LOGISTIC statement in SAS v9.2. (Cary, NC). Toaddress our research question, unadjusted and adjusted multinomiallogistic regression models were constructed to test theassociation between weekly fast-food consumption and both theperceived availability of fast food and the GIS-based presence of fastfoodoutlets within a person’s neighborhood.
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