Skip to main content
. 2019 May 9;9:7162. doi: 10.1038/s41598-019-43611-x

Table 4.

Multivariable analyses of factors associated with the consumption of industrialized/ultra-processed salty foods, sweets, and soft drinks by 9th-grade adolescents in the 2015 PeNSE in Brazil.

Variable Industrialized/ultra-processed salty foodsa Sweetsa Soft drinksa
PRa (95% CI) p PRa (95% CI) p PRa (95% CI) p
Sociodemographics
  Municipality <0.001 0.144 <0.001
   Not capital 1 1 1
   Capital 1.09 (1.06–1.11) 1.02 (0.99–1.04) 1.14 (1.11–1.17)
  School <0.001 0.140 <0.001
   Public 1 1 1.12 (1.06–1.18)
   Private 1.29 (1.23–1.35) 0.97 (0.93–1.01) 1
  Sex <0.001 <0.001 <0.001
   Male 1 1 1.10 (1.08–1.13)
   Female 1.12 (1.10–1.15) 1.35 (1.33–1.38) 1
  Age <0.001 <0.001 <0.001
   11–13 years 1 1 1
   14 years 0.98 (0.95–1.01) 1.01 (0.98–1.03) 1.07 (1.04–1.11)
   15 years 0.98 (0.94–1.01) 0.98 (0.95–1.02) 1.23 (1.18–1.28)
   16–19 years 0.89 (0.85–0.93) 0.92 (0.88–0.96) 1.24 (1.19–1.30)
Availability of food at school
  PNAE 0.014 0.463 0.003
   Yes 1 1 1
   No 1.06 (1.01–1.11) 1.02 (0.97–1.06) 1.08 (1.03–1.14)
  School cafeteria <0.001 <0.001 <0.001
   No 1 1 1
   Yes 1.05 (1.02–1.08) 1.09 (1.07–1.11) 1.10 (1.07–1.13)

The multivariable analysis was conducted using the Poisson regression model. The effect measure is the PRa with its respective 95% CI. The model was adjusted for all explanatory variables.

PeNSE: Pesquisa Nacional de Saúde do Escolar (National School Health Survey); PNAE: Brazilian School Food Program; PRa: adjusted prevalence ratio; CI: confidence interval.

Bolded p-values denote significance (p < 0.05).

aRegular consumption (at least 5 of the previous 7 days).