Analysis
This study assessed the relationship amongst the prevalence of carrying excess fat (oriented variable) and place out-of household (chief explanatory varying) adjusting getting carrying excess fat chance items also ages, sex, degree, a position position, marital standing, and you will every day consumption of SSBs . Extra data searched sex differences by-place out-of house. Detailed studies estimated group, behavioural, and you can contextual attributes of attempt and Noiva britГўnico you can Pearson’s \(x\) 2 screening were used to choose differences when considering teams. Loads provided with for every single survey were utilized in order to guess frequency from carrying excess fat in order to be the cause of possible nonresponse bias and you will solutions probability. The brand new prevalence out of obesity try projected by-place out of house (i.e., New york, the world regarding Colombia, and you can head Colombian metropolitan areas) and by sex. Private survey weights in the ENSIN was indeed representative of the Colombia inhabitants according to the 2005 Colombia Federal Census . Weights from the Ny CHS was in fact member of the New york adult society of the sex, race/ethnicity, decades, cell phone type of and you may borough out-of household according to research by the 2015 Western Community Survey .
Unadjusted and you may bivariate regressions were utilized to explore the latest relationships ranging from obesity and differing correlates. The fresh new sequence from regression habits (parallel designs having carrying excess fat given that lead) is as pursue. Design 1 compared immigrant Colombians surviving in Nyc as opposed to nonimmigrant Colombians residing their property country. Model 2 checked out the connection anywhere between carrying excess fat and place out-of household, evaluating immigrant Colombians residing in New york instead of nonimmigrant Colombians living in main Colombian towns and cities simply to explore distinctions novel so you’re able to surviving in an urban perspective. Designs 3 and 4 understood sex-specific contacts ranging from carrying excess fat and put out-of house. The patterns modified for ages, sex, studies height, a position condition, relationship reputation, and you will every single day SSB usage.
Analyses were performed using SAS Corporation Publication (version eight.1) and you may SAS-callable SUDAAN (variation 11.0, Look Triangle Institute, Cary, NC) to adjust to have state-of-the-art trials, taking into account clustering of data, properties of the studies construction, attempt weights, and you will forgotten data. Results are exhibited because Advertising making use of their particular 95% believe menstruation (95% CI). Publicity represented the brand new proportion regarding predicted odds determined away from adjusted multivariable logistic regression activities, making use of the PREDMARG and PRED_EFF comments from inside the SUDAAN . All of the statistical evaluating was indeed one or two-sided on an importance 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>
Carrying excess fat frequency
Figures step one and you will dos reveal brand new adjusted frequency of obesity when you look at the the complete try and you may inside sex teams by-place regarding household. This new incidence of obesity one of Colombian immigrants residing Ny (25.5%; 95% CI 20.5, 29.2) are significantly high versus nonimmigrant Colombians staying in their house country (18.9%; 95% CI 18.5, 19.4) along with the main metropolitan areas (19.1%; 95% CI 18.0, 19.8). There had been and additionally distinctions from the sex for some organizations. Colombian immigrant men surviving in Ny (25.0%; 95% CI 17.step 3, 34.7) had a significantly large incidence out of obesity compared to nonimmigrant Colombian dudes country-wider (14.5%; 95% CI 13.9, fifteen.2) and also in the main towns (fifteen.8%; 95% CI fourteen.2, 16.8). Although not, there are zero tall distinctions certainly one of Colombian immigrant female living in Ny (twenty five.8%; 95% CI 19.six, 33.1) compared to nonimmigrant Colombian feminine way of life across Colombia (twenty-two.7%; 95% CI twenty two.0, 23.4) or even in an element of the places (21.7%; 95% CI 20.3, 23.2).