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. 2018 Sep 12;14:93. doi: 10.1186/s12992-018-0409-y

Table 2.

Relationship between relative ultra-processed food expenditure and demographic determinants (2009-2014, 2009, 2014)

Model A (2009-2014) Model B (2009) Model C (2014)
pNPc1 -0.5*** (-0.5, -0.4) -0.5*** (-0.6, -0.4) -0.5*** (-0.5, -0.4)
pUPc2 0.2*** (0.2, 0.3) 0.2*** (0.2, 0.3) 0.2*** (0.2, 0.2)
Sex: Male 0.2*** (0.1, 0.3) 0.2*** (0.1, 0.3) 0.2** (0.02, 0.3)
Education: Secondary 0.1** (0.01, 0.3) 0.2** (0.01, 0.3) 0.1 (-0.05, 0.3)
Education: Superior 0.2*** (0.1, 0.4) 0.2*** (0.1, 0.4) 0.2** (0.03, 0.3)
Age: 20-39 years 0.1 (-0.1, 0.3) 0.1 (-0.1, 0.3) 0.1 (-0.2, 0.4)
Age: 40-59 years 0.03 (-0.2, 0.2) 0.04 (-0.1, 0.2) 0.03 (-0.2, 0.2)
Area: urban 0.3*** (0.1, 0.4) 0.3*** (0.2, 0.5) 0.1 (-0.2, 0.4)
Year2014:pUPc2 -0.1*** (-0.1, -0.01)
Constant 0.7*** (0.2, 1.2) 0.4 (-0.2, 1.0) 0.8** (0.2, 1.5)
Observations 1.736 1.183 553
Log Likelihood -512,618 -407.44 -253,853
Akaike Inf. Crit. 1,045.235 832,879 525,706

1Log price of mean non processed and minimally processed calorie (USD/Cal)

2Log price of mean ultra-processed calorie (USD/Cal)

*p<0.1; **p<0.05; ***p<0.01