Analysis
This study analyzed the connection within incidence regarding being obese (oriented variable) and set from quarters (main explanatory adjustable) changing getting obesity risk products and age, sex, education, a job condition, marital position, and you can everyday consumption of SSBs . Most studies browsed sex variations by-place out of residence. Detailed analysis projected demographic, behavioral, and you will contextual properties of one’s test and you may Pearson’s \(x\) dos tests were used to choose differences when considering groups. Weights provided by for every single questionnaire were used so you can estimate frequency regarding carrying excess fat in order to account for prospective nonresponse prejudice and you may solutions likelihood. The fresh prevalence out-of carrying excess fat try estimated by place out of household (i.elizabeth., New york, the country away from Colombia, and you will chief Colombian places) and also by sex. Individual questionnaire loads in the ENSIN have been associate of the Colombia people in line with the 2005 Colombia National Census . Loads from the New york CHS were representative of the Nyc adult society because of the sex, race/ethnicity, ages, mobile form of and you will borough away from house according to research by the 2015 Western Community Questionnaire .
Unadjusted and you will bivariate regressions were used to explore the fresh new matchmaking between obesity and various correlates. New series away from regression designs (parallel habits that have obesity as the lead) is just as follows. Design 1 opposed immigrant Colombians surviving in New york in place of nonimmigrant Colombians staying in their home nation. Model dos checked out the relationship anywhere between obesity and set out-of household, evaluating immigrant Colombians living in New york in place of nonimmigrant Colombians located in chief Colombian metropolises merely in order to speak about differences unique so you can surviving in a metropolitan context. Habits step three and you can 4 recognized sex-specific connectivity anywhere between obesity and place away from home. All the patterns adjusted to own ages, sex, knowledge height, work updates, marital updates, and each day SSB consumption.
Analyses was in fact did using SAS Agency Publication (type seven.1) and you can SAS-callable SUDAAN (adaptation 11.0, Research Triangle Institute, Cary, NC) to modify to have advanced products, taking into consideration clustering of data, characteristics of analysis construction, shot weights, and you may forgotten analysis. Results are shown while the Advertising and their respective 95% believe times (95% CI). Pr depicted the newest ratio out-of forecast probabilities calculated off weighted multivariable logistic regression activities, making use of the PREDMARG and you will PRED_EFF statements from inside the SUDAAN . Every statistical screening was indeed one or two-sided in the a value amount of less than 0.05.
Results