From inside the extra analyses, i tested associations out of carrying excess fat with year and you may sociodemographic services stratified by the sex

From inside the extra analyses, i tested associations out of carrying excess fat with year and you may sociodemographic services stratified by the sex

Most of the analyses was in fact held by making use of the fresh new cutting-edge questionnaire construction behaviors of the Stata mathematical computer software type 12. We projected weighted prevalences of being obese because of the season and within this season because of the categories of sociodemographic predictors. Being obese prevalences was indeed opposed because of the amounts of for each correlate towards usage of Rao–Scott ? 2 testing and you will testing to possess linear development to have affordable and you will ordinal predictors, respectively; accounting with the complex questionnaire framework. We projected modified frequency rates away from carrying excess fat from the degrees of sociodemographic predictors for the annually of your own questionnaire, through the use of multivariable Poisson regression designs on the diary-link and you will robust quotes out of variance. In the end, we tested the alteration in the carrying excess fat prevalence off 2005 to help you 2010 complete by degrees of sociodemographic details by quoting adjusted prevalence variations (PD) and you can 95 % rely on times into the multivariable Poisson regression habits. To determine if or not alterations in being obese prevalence out of 2005 to 2010 differed somewhat between degrees of sociodemographic predictors, i checked-out mix-tool (interaction) terminology between season and you will kinds of for every single predictor toward fool around with away from adjusted Wald tests.

Dining table step 1 Frequency of carrying excess fat (Body mass index ?30 kg/meters 2 ) from inside the Colombian grownups throughout the Federal Nourishment Surveys off 2005 and you can 2010

*N is the complete shot volume for each and every group. For the 2005, ten some body and in 2010, twenty-nine someone got forgotten philosophy to have relationship updates and you may was omitted on the descriptive statistics of , 2063 some body had destroyed values for dinner low self-esteem and you will were omitted on descriptive analytics out-of dinner low self-esteem.

‡P thinking are from new Rao–Scott ? dos take to for sex, marital status, urban/rural and you may part. Getting age, dining defense and you may wide range list, P philosophy show an examination getting pattern of unadjusted Poisson regression habits with being obese because consequences and you may a varying symbolizing categories of ordinal associate just like the a continuing predictor.


Imply Body mass index from inside the 2005 and you may 2010 is 25·dos ( se 0·1) kg/meters 2 and you can 25·seven ( se 0·0) kg/m 2 , respectively; the difference between recent years try 0·5 kilogram/m dos (95 % CI 0·cuatro, 0·6 kg/yards dos ). There have been no big alterations in the design of the Body mass index shipping between your survey age complete or of the sex (Fig. 1). Prevalence away from obesity in the 2005 and you will 2010 is thirteen·9 ( se 0·3) % and 16·cuatro ( se 0·2) %, respectively. The newest PD is actually dos·seven % (95 % CI step one·nine, 3·4 %).

Fig. step one Body mass index shipment in Colombian grownups in 2005 ( ) and you will 2010 ( ): (a) complete inhabitants; (b) men; (c) female. *Stands for the latest percentage of people to own a single product improvement in Bmi

In ages, the newest incidence from being obese is actually large in women, professionals aged 55–64 years, those individuals instead of restaurants insecurity or have been throughout the high quintiles of one’s wide range index, and individuals residing in towns or even in new Federal Regions area (Table step one). Any of these relationships differed anywhere between female (on line supplementary situation, Supplemental Table dos) and you will men (on line second thing, Extra Desk step three). Such, the positive connectivity regarding wide range list and food safety that have obesity both in survey decades was indeed healthier in the guys than feminine. Similarly, the better prevalence from being obese in metropolitan compared to rural areas both in questionnaire ages is actually noticeable within the dudes yet not in the women.

During these patterns, improvement variables provided sex, ages, marital updates, dinner security, money, urbanicity and you can area for household, classified based on Dining table step one

2nd, i tested the brand new connectivity off sociodemographic products and you will incidence away from being obese from inside the for every single survey year after modifying for potential confounding (Desk 2). Both in years, being obese is actually definitely associated with the feminine sex, years, and living in the fresh new Pacific or Federal Territories regions. Whereas within the 2005 this new association out-of wealth having being obese accompanied good dose–response gradient, this year the incidence away from carrying excess fat was equally large in the wide range quintiles 2 in order to 5 as compared with a minimal quintile. By contrast, when you’re staying in rural components (quick rural towns or distributed rural components) was not pertaining to the latest frequency out of being obese into the 2005, it absolutely was of this a diminished prevalence in contrast to urban areas in 2010.

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