Analysis
This research examined the partnership between your incidence off obesity (centered changeable) and put off quarters (head explanatory adjustable) adjusting to have carrying excess fat risk items plus many years, guatemalteco mulheres para o casamento sex, knowledge, a career standing, marital reputation, and you can daily consumption of SSBs . Extra studies explored sex differences by place of household. Descriptive study projected market, behavioural, and you can contextual functions of your own attempt and you may Pearson’s \(x\) 2 evaluation were used to determine differences when considering teams. Loads available with for every single questionnaire were utilized so you’re able to imagine prevalence of being obese to make up possible nonresponse bias and you may choices possibilities. The latest prevalence of carrying excess fat was estimated by place away from house (we.elizabeth., Nyc, the nation out-of Colombia, and you may chief Colombian metropolises) and also by sex. Private survey weights in the ENSIN had been representative of your Colombia society in accordance with the 2005 Colombia National Census . Weights from the New york CHS had been affiliate of the Nyc mature population of the sex, race/ethnicity, years, cellular phone sorts of and you may borough away from residence based on the 2015 American People Questionnaire .
Unadjusted and you may bivariate regressions were utilized to explore the brand new matchmaking between being obese as well as other correlates. The new series off regression activities (synchronous designs having carrying excess fat while the benefit) is as comes after. Model step one opposed immigrant Colombians staying in Nyc rather than nonimmigrant Colombians staying in their property nation. Design dos tested the connection between being obese and set out-of house, comparing immigrant Colombians living in Ny as opposed to nonimmigrant Colombians residing in chief Colombian metropolitan areas just in order to discuss distinctions book to located in a metropolitan framework. Patterns step 3 and you may cuatro recognized sex-particular associations between obesity and place off house. All of the models adjusted to have age, sex, education peak, a position position, relationship position, and every single day SSB consumption.
Analyses was basically performed using SAS Business Publication (variation eight.1) and SAS-callable SUDAAN (variation 11.0, Search Triangle Institute, Cary, NC) to regulate to own complex examples, taking into account clustering of information, attributes of the investigation build, attempt weights, and you may missing research. Results are demonstrated because Public relations with their particular 95% depend on times (95% CI). Public relations depicted this new ratio out of forecast odds calculated out-of weighted multivariable logistic regression activities, by using the PREDMARG and you will PRED_EFF comments into the SUDAAN . All of the statistical tests was a few-sided at a significance amount of lower 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>
Carrying excess fat prevalence
Rates step 1 and you may dos show the fresh adjusted incidence of being obese inside the entire shot and you will in this sex teams by place from household. The new frequency from carrying excess fat certainly one of Colombian immigrants residing in Ny (25.5%; 95% CI 20.5, 29.2) is actually notably highest compared to nonimmigrant Colombians located in their residence nation (18.9%; 95% CI 18.5, 19.4) plus in an element of the locations (19.1%; 95% CI 18.0, 19.8). There were plus distinctions by sex for many teams. Colombian immigrant dudes located in Nyc (twenty five.0%; 95% CI 17.step 3, 34.7) got a significantly highest frequency off obesity than the nonimmigrant Colombian men country-wide (fourteen.5%; 95% CI thirteen.9, fifteen.2) and also in part of the cities (fifteen.8%; 95% CI fourteen.2, 16.8). But not, there are no high differences certainly Colombian immigrant women residing in Ny (25.8%; 95% CI 19.six, 33.1) compared to nonimmigrant Colombian female life across Colombia (twenty two.7%; 95% CI 22.0, 23.4) or in part of the places (21.7%; 95% CI 20.step three, 23.2).
