Analysis
This research examined the connection involving the frequency of carrying excess fat (created varying) and put out-of residence (main explanatory varying) changing having obesity chance issues together with age, sex, training, a position condition, marital standing, and day-after-day use of SSBs . Even more analysis browsed sex distinctions by-place away from quarters. Descriptive analysis estimated demographic, behavioural, and you can contextual qualities of one’s attempt and you can Pearson’s \(x\) dos testing were utilized to choose differences between organizations. Loads provided with for each and every questionnaire were utilized so you can guess frequency off carrying excess fat to help you account fully for possible nonresponse prejudice and you may choice opportunities. Brand new prevalence out-of being obese was estimated by-place of residence (i.e., Ny, the world out of Colombia, and you may head Colombian metropolitan areas) and also by sex. Personal questionnaire weights in the ENSIN was associate of Colombia populace in accordance with the 2005 Colombia National Census . Loads about New york CHS was representative of Nyc adult population because of the sex, race/ethnicity, age, cellular phone types of and borough out of quarters according to research by the 2015 Western Society Survey .
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Unadjusted and bivariate regressions were used to explore the fresh relationships between being obese and different correlates. The sequence from regression models (parallel patterns with obesity while the result) can be employs. Model step 1 compared immigrant Colombians staying in Nyc in place of nonimmigrant Colombians located in their home country. Model 2 looked at the partnership ranging from carrying excess fat and place out-of household, contrasting immigrant Colombians staying in Ny instead of nonimmigrant Colombians located in head Colombian towns simply to discuss differences book in order to staying in an urban perspective. Habits step three and you may cuatro recognized sex-certain associations ranging from obesity and place out of residence. Most of the habits adjusted getting ages, sex, knowledge peak, a position position, marital condition, and day-after-day SSB use.
Analyses were did using SAS Firm Guide (variation 7.1) and SAS-callable SUDAAN (version eleven.0, Browse Triangle Institute, Cary, NC) to modify for cutting-edge samples, looking at clustering of data, services of the studies design, decide to try weights, and you will lost investigation. Answers are exhibited since Pr making use of their particular 95% believe intervals (95% CI). Publicity portrayed the new ratio off predict odds computed off weighted multivariable logistic regression patterns, utilising the PREDMARG and you can PRED_EFF statements into the SUDAAN . Most of the analytical testing was a couple-sided during the a relevance level of less than 0.05.
Results
Obesity was defined as BMI ? 30 kg/m 2 (yes/no) for the analysis. BMI was calculated from self-reported height and weight in the NYC CHS and measured height and weight in the ENSIN. Country of origin was self-reported in NYC CHS (i.e., Where were you born? Please tell me the country) and was used to identify Colombian immigrants living in NYC. In addition to the adult population of Colombians residing in their home country, area of residence was used in the ENSIN survey to categorize Colombians that lived in the four main cities in the country (i.e., Bogota, Medellin, Barranquilla and Cali) for urban comparisons with the NYC sample. Age at time of survey was categorized as 18–39, 40–59, and 60 years or over. Education was classified as less than high school, some college, and college graduate. Employment was categorized as formally employed (i.e., full-time or part-time), self-employed, and unemployed (i.e., this variable excludes individuals who are not in the labor force because they are students, homemakers, retired or unable to work). Marital status was dichotomized as married or living together versus divorced, widowed, separated or never married. Frequency of SSB consumption per day was captured in both surveys and was dichotomized as none or < 1>
Obesity frequency
Numbers 1 and you will 2 show the brand new weighted prevalence out of carrying excess fat for the the entire shot and you can within sex communities by place out-of home. The brand new prevalence out of carrying excess fat certainly Colombian immigrants located in New york (25.5%; 95% CI 20.5, 30.2) are rather high compared to the nonimmigrant Colombians residing their home country (18.9%; 95% CI 18.5, 19.4) and in area of the cities (19.1%; 95% CI 18.0, 19.8). There were also variations by the sex for many communities. Colombian immigrant guys residing in Ny (twenty five.0%; 95% CI 17.step three, 34.7) got a substantially higher frequency away from obesity as compared to nonimmigrant Colombian guys nation-greater (fourteen.5%; 95% CI thirteen.9, 15.2) and also in area of the cities (fifteen.8%; 95% CI fourteen.2, 16.8). Although not, there were zero significant distinctions certainly Colombian immigrant feminine located in Nyc (25.8%; 95% CI 19.six, 33.1) than the nonimmigrant Colombian women traditions all over Colombia (22.7%; 95% CI twenty two.0, 23.4) or in area of the metropolitan areas (21.7%; 95% CI 20.3, 23.2).