Analysis
This study reviewed the relationship involving the prevalence from obesity (founded variable) and put away from residence (head explanatory changeable) modifying to possess being obese exposure circumstances together with years, sex, studies, employment position, relationship updates, and everyday consumption of SSBs . Additional study explored sex differences by place away from house. Descriptive research estimated group, behavioral, and you may contextual services of try and you can Pearson’s \(x\) 2 testing were used to determine differences when considering organizations. Loads available with for each questionnaire were used so you can imagine prevalence away from being obese so you can account fully for prospective nonresponse bias and you will choices likelihood. The fresh frequency out of carrying excess fat is projected by place off home (i.elizabeth., Ny, the world away from Colombia, and you may head Colombian metropolises) and also by sex. Private questionnaire weights on ENSIN had been associate of Colombia people according to the 2005 Colombia diferenГ§as entre mulheres canadenses e americanas National Census . Weights in the Ny CHS was basically associate of your Nyc mature populace from the sex, race/ethnicity, ages, mobile sorts of and you will borough out of household in line with the 2015 American Area Survey .
Unadjusted and you will bivariate regressions were used to understand more about new relationships anywhere between obesity and different correlates. The fresh series out of regression habits (parallel habits which have being obese once the benefit) is as uses. Design step one opposed immigrant Colombians surviving in New york in the place of nonimmigrant Colombians surviving in their residence nation. Model 2 checked out the partnership anywhere between being obese and set away from household, comparing immigrant Colombians residing in Ny instead of nonimmigrant Colombians located in head Colombian urban centers only in order to explore differences novel in order to located in a metropolitan perspective. Designs 3 and you will cuatro recognized sex-certain associations ranging from carrying excess fat and set out of quarters. Most of the patterns modified for ages, sex, training top, a position position, marital standing, and you will every day SSB use.
Analyses were did having fun with SAS Organization Publication (version 7.1) and you can SAS-callable SUDAAN (type eleven.0, Research Triangle Institute, Cary, NC) to modify to have state-of-the-art examples, looking at clustering of data, qualities of your own study structure, shot weights, and forgotten study. Email address details are presented since Publicity making use of their particular 95% believe periods (95% CI). Pr depicted the brand new ratio away from predicted chances determined out of weighted multivariable logistic regression habits, making use of the PREDMARG and you can PRED_EFF statements during the SUDAAN . All mathematical evaluation was basically a couple of-sided in the a benefits amount of below 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 prevalence
Numbers step one and you may dos tell you new adjusted prevalence out-of being obese for the the complete sample and contained in this sex teams by-place out-of home. The latest prevalence off obesity certainly Colombian immigrants surviving in New york (twenty five.5%; 95% CI 20.5, 31.2) was significantly high compared to nonimmigrant Colombians staying in their home nation (18.9%; 95% CI 18.5, 19.4) plus in a portion of the towns and cities (19.1%; 95% CI 18.0, 19.8). There have been and additionally differences by the sex for many groups. Colombian immigrant dudes residing Ny (twenty-five.0%; 95% CI 17.step three, 34.7) got a somewhat higher frequency out-of carrying excess fat compared to the nonimmigrant Colombian guys nation-greater (fourteen.5%; 95% CI 13.nine, 15.2) and in part of the towns (fifteen.8%; 95% CI 14.2, 16.8). However, there had been zero significant differences one of Colombian immigrant female residing in Nyc (twenty-five.8%; 95% CI 19.six, 33.1) compared to nonimmigrant Colombian female life style all over Colombia (22.7%; 95% CI 22.0, 23.4) or in the main metropolitan areas (21.7%; 95% CI 20.step three, 23.2).