During the extra analyses, i checked out relationships out-of being obese with 12 months and sociodemographic attributes stratified because of the sex
Most of the analyses was in fact held by using the newest advanced survey construction behaviors of one’s Stata statistical software program version a dozen. We projected adjusted prevalences of obesity by 12 months and you may contained in this seasons by categories of sociodemographic predictors. Obesity prevalences was basically opposed of the amounts of for each correlate with the the means to access Rao–Scott ? 2 testing and evaluating getting linear development having nominal and you can ordinal predictors, respectively; bookkeeping to your cutting-edge survey structure. I estimated modified prevalence rates out of being obese of the amounts of sociodemographic predictors for the every year of your own questionnaire, through the use of multivariable Poisson regression habits toward journal-hook and you may powerful prices out of difference. In the long run, we checked-out the alteration inside carrying excess fat prevalence away from 2005 so you can 2010 full by quantities of sociodemographic parameters by estimating adjusted frequency variations (PD) and you can 95 % depend on intervals for the multivariable Poisson regression designs. To choose if changes in obesity frequency of 2005 to 2010 differed somewhat anywhere between amounts of sociodemographic predictors, we checked-out get across-product (interaction) words ranging from year and you can categories of for each predictor to the explore from modified Wald testing.
Table step 1 Prevalence out-of carrying excess fat (Bmi ?31 kilogram/m dos ) in the Colombian people from the National Nutrients Studies of 2005 and you can 2010
*Letter refers to the full attempt regularity for each group. In the 2005, fifteen some body along with 2010, twenty-9 someone had shed values for marital position and you will have been omitted on the detailed analytics of , 2063 anyone got destroyed philosophy to possess eating insecurity and you may have been excluded from the descriptive statistics out-of eating insecurity.
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