All the analyses was held using the new state-of-the-art questionnaire structure behaviors of Stata analytical software package version 12. I estimated weighted prevalences away from carrying excess fat because of the year and contained in this 12 months of the categories of sociodemographic predictors. Obesity prevalences had been compared by amounts of per associate on entry to Rao–Scott ? dos examination and testing for linear trend to possess affordable and ordinal predictors, respectively; accounting towards advanced survey structure. We projected adjusted frequency percentages of being obese because of the degrees of sociodemographic predictors when you look at the from year to year of questionnaire, through the use of multivariable Poisson regression activities into the journal-hook and you can sturdy prices regarding variance. Finally, we checked out the alteration when you look at the being obese frequency of 2005 so you’re able to 2010 full and also by levels of sociodemographic variables because of the quoting adjusted frequency differences (PD) and you can 95 % rely on periods inside the multivariable Poisson regression models. To choose whether alterations in obesity incidence of 2005 so you’re able to 2010 differed somewhat anywhere between levels of sociodemographic predictors, i looked at mix-tool (interaction) terminology anywhere between year and you can types of each predictor to your fool around with out-of modified Wald testing.

Table 1 Incidence of carrying excess fat (Bmi ?30 kilogram/meters dos ) during the Colombian adults throughout the Federal Nutrients Studies away from 2005 and you may 2010

*Letter refers to the full attempt regularity for every single group. When you look at the 2005, ten anybody as well as in 2010, twenty-9 people had missing thinking getting relationship status and you may have been excluded in the detailed statistics from , 2063 somebody had forgotten opinions to own dining low self-esteem and had been excluded regarding the detailed analytics from food insecurity.

‡P viewpoints come from new Rao–Scott ? dos shot to have sex, relationship condition, urban/outlying and you will area. Having age, restaurants protection and riches list, P thinking depict an examination to possess trend from unadjusted Poisson regression patterns with obesity as the consequences and you can a changeable symbolizing kinds of your own ordinal correlate due to the fact a continuous predictor.

Results

Imply Bmi in 2005 and 2010 is actually twenty five·dos ( se 0·1) kg/meters 2 and you can 25·eight ( se 0·0) kg/m 2 , respectively; the essential difference between recent years is actually 0·5 kilogram/m 2 (95 % CI 0·cuatro, 0·6 kg/m 2 ). There have been zero biggest alterations in the shape of your own Bmi shipments within survey many years total otherwise because of the sex (Fig. 1). Incidence out-of carrying excess fat in 2005 and you will 2010 are 13·nine ( se 0·3) % and you may 16·cuatro ( se 0·2) %, respectively. New PD is dos·7 % (95 % CI step one·nine, 3·cuatro %).

Fig. step 1 Body mass index shipping during the Colombian grownups for the 2005 ( ) and you will 2010 ( ): (a) complete society; (b) men; (c) feminine. *Stands for the fresh new percentage of populace to have a-one unit change in Bmi

Both in age, the fresh new incidence away from obesity are highest in females, people aged 55–64 many years, those versus restaurants low self-esteem or have been regarding high quintiles of your wide range directory, and individuals residing in cities or even in the brand new National Areas region (Dining table step 1). Any of these contacts differed anywhere between women (online additional procedure, Extra Dining table 2) and you may men (online additional point, Supplemental Table 3). Including, the positive connections away from money index and you can mine kilder dinner protection having obesity in both questionnaire years was in fact stronger in the men than simply women. Similarly, the greater frequency away from obesity inside the urban compared to rural section in questionnaire ages was apparent in guys however in female.

Throughout these models, improvement parameters incorporated sex, ages, marital reputation, food protection, wide range, urbanicity and you will region of home, classified predicated on Desk 1

Next, i checked out the brand new connectivity off sociodemographic circumstances and you will prevalence from being obese within the each questionnaire season just after changing getting possible confounding (Desk 2). In age, obesity is actually definitely associated with feminine sex, ages, and you will located in the brand new Pacific or Federal Regions countries. Whereas for the 2005 the new organization from wealth which have being obese observed a dose–reaction gradient, in 2010 new prevalence away from obesity is actually equally highest inside the riches quintiles 2 in order to 5 as compared with a low quintile. By comparison, if you find yourself staying in outlying areas (short outlying towns or dispersed rural areas) wasn’t associated with the frequency out-of carrying excess fat when you look at the 2005, it was in the a diminished frequency compared to urban areas this current year.