Zero variations was indeed observed in kappa because of the sex, college venue and type from school (More file, Desk S1)
Prevalence and you may agreement
31.4% (thirteen.6% over weight and you will 16.8% obesity), 32.0% out-of boys and you can twenty eight.8% of girls, were found to be along side needed fit weight according to the latest Who source (Fig. 2). Simultaneously, the fresh IOTF system said 23.1% (14.1% over weight and nine.0% obesity), with twenty-two.5% inside the boys and you can 23.8% into the girls. Aside from sex and you may classification program, heavy and you will being obese try large in both metropolitan and personal universities compared to those out of rural and you may social universities (Tables 2 and you can step three). In addition, ow/ob is high among youngsters in comparison with elderly of those. Differences in brand new frequency out of obese and you may obesity involving the Who and IOTF system ranged out of cuatro.5 to ten.9%. To have carrying excess fat alone, such numbers ranged out of 2.2 so you can 9.3%. These types of distinctions was in fact higher inside boys than in girls.
Desk 2 Prevalence of shared heavy and being obese regarding university-aged people in line with the Just who and you can IOTF increases sources, regarding the analytical dataset, El Salvador,
Desk step three Prevalence out-of obesity away from college-old children in accordance with the Whom and you will IOTF growth recommendations, on logical dataset, Este Salvador,
All round kappa well worth was 0.83[95%CI: 0.829–0.834] (good contract) involving the Just who while the IOTF system (Table 4). Of the age, kappa had a tendency to decrease in elderly decades, generally immediately following 8 yrs old, reporting a substantial concordance.
Table cuatro Evaluating the fresh new health reputation of your college or university-aged kids from the types of new Which (columns) and you can IOTF (rows) growth sources, Este Salvador, 2016. Absolute quantity receive within the per mobile
Multilevel data
On haphazard perception part, the latest partition difference is derived from brand new null design (zero explanatory variables incorporated) and you will modified models (Dining table 5, Dining table six). The fresh new ICC in the student top to your Just who system informed me quite more ninety-five.9% of complete difference. During the college or university/municipal and you will municipal by yourself, the brand new ICC is actually 7.03 and step 1.6%, correspondingly. This type of numbers at college student, school/municipal and you will civil by yourself height was basically 92.seven, 5.six and you can step 1.6% correspondingly for the IOTF system. Despite the reduced said difference in school and you can local government, the new multilevel design (and all predictors) is actually notably common over the solitary design (not accounted for clustering investigation) and create a lot better than brand new null model (zero predictors). It indicates one to BMIZ behaved given that created observations, with a few amount of clustering in the university and you will municipal height.
Table 5 Multilevel linear regression make of body mass index Z-get by using the Who category program, on the analytical dataset, El Salvador,
Dining table 6 Multilevel linear regression brand of body mass index Z-get utilizing the IOTF classification program, on analytical dataset, El 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
Spatial analysis
We checked brand new incidence of ow/ob along the municipalities by using the Just who and you will IOTF assistance. This new Moran’s Directory on combined fat and you can carrying excess fat and obesity by yourself have been 0.434 and 0.359, respectively (p-well worth = 0.001) with the Just who system. These types of numbers by using the IOTF system was in fact 0.561 and you can 0.552 (p-worthy of = 0.001). After that, your regional clustering considering Getis-Ord Gi* known extreme municipal groups having obese and obesity (Fig. 3).
Map regarding spatial clusters off heavy and you can carrying excess fat utilizing the Who-2007 and the IOTF expertise, Este Salvador, . Charts have been designed https://lovingwomen.org/da/costa-ricanske-kvinder/ with GeoDa software, version1.8.. Open Origin Program ( This new discover provider DIVA-GIS data source was utilized to obtain the latest map featuring its administrative divisions (diva-gis.org)
