Zero distinctions was noticed in kappa of the sex, school venue and kind regarding school (Additional file, Desk S1)
Frequency and contract
31.4% (thirteen.6% over weight and you may sixteen.8% obesity), 32.0% out-of boys and you can twenty eight.8% from girls, was basically found to be over the demanded fit pounds predicated on this new Just who site (Fig. 2). Concurrently, new IOTF system claimed 23.1% (14.1% overweight and you may 9.0% obesity), having twenty two.5% in boys and you can 23.8% in the girls. No matter sex and you will category program, fat and you can being obese is high both in metropolitan and private universities as opposed to those out of rural and you can societal universities (Tables dos and you may 3). As well, ow/ob try higher certainly one of youngsters when comparing to old Norwegian smuk pige til Г¦gteskab of them. Variations in the latest prevalence away from obese and you can being obese within Just who and you can IOTF program ranged away from 4.5 so you can ten.9%. To possess obesity by yourself, this type of data varied out-of 2.2 to help you nine.3%. These variations was in fact higher within the boys compared to girls.
Desk dos Frequency regarding shared heavy and you will carrying excess fat of college or university-aged children in line with the Which and you may IOTF development records, about analytical dataset, Este Salvador,
Desk step three Incidence of being obese of university-aged youngsters based on the Which and you may IOTF development references, throughout the logical dataset, El Salvador,
The general kappa worthy of are 0.83[95%CI: 0.829–0.834] (good contract) between the Just who in addition to IOTF program (Table 4). By the age, kappa had a tendency to reduced total of old age, mostly after 8 years of age, revealing a substantial concordance.
Dining table 4 Contrasting brand new nutritional condition of the college or university-aged kid of the kinds of the fresh Who (columns) and you will IOTF (rows) increases sources, Este Salvador, 2016. Pure amounts receive inside the for every telephone
Multilevel data
On haphazard effect part, the fresh new partition difference is produced by brand new null design (zero explanatory variables integrated) and adjusted models (Desk 5, Dining table six). The brand new ICC in the pupil level toward Who program informed me slightly over 92.9% of your own full variance. At the college or university/municipal and civil alone, the new ICC was eight.03 and you will step 1.6%, respectively. These data in the student, school/civil and you may civil alone height was basically 92.seven, 5.six and you will step one.6% correspondingly toward IOTF program. Inspite of the lower explained variance in school and you will municipality, the fresh new multilevel design (and additionally every predictors) is actually rather prominent over the single design (not taken into account clustering investigation) and you can manage much better than the fresh new null model (no predictors). It means you to definitely BMIZ behaved since the situated observations, with some amount of clustering in the university and civil height.
Dining table 5 Multilevel linear regression model of body mass index Z-get with the Just who class program, in the logical dataset, Este Salvador,
Desk six Multilevel linear regression brand of bmi Z-rating utilizing the IOTF category program, about logical dataset, Este Salvador,
The fixed effects in both models showed similar conclusions. Boys, children attending urban schools, and children from private schools had higher BMIZ than girls, rural and public school children. The regression coefficients by sex were higher using the WHO system (0.14, p-value < 0.01)>
Spatial study
I checked out the frequency regarding ow/ob along the municipalities with the Who and IOTF solutions. The latest Moran’s List to the mutual obese and you will carrying excess fat and you can obesity alone was 0.434 and 0.359, correspondingly (p-worthy of = 0.001) with the Who program. These types of data utilising the IOTF system was 0.561 and you will 0.552 (p-value = 0.001). Following, your regional clustering according to Getis-Ord Gi* known tall municipal groups to own heavy and you will being obese (Fig. 3).
Chart out of spatial groups away from heavy and you can carrying excess fat utilizing the Whom-2007 and also the IOTF options, Este Salvador, . Maps had been constructed with GeoDa application, version1.8.. Discover Supply Program ( The unlock provider DIVA-GIS repository was utilized in order to download the latest chart featuring its administrative divisions (diva-gis.org)
