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Table 2 Results of the multivariable logistic regression models predicting household food insecurity by gender of household head

From: Determinants of food insecurity among households with children in Villa el Salvador, Lima, Peru: the role of gender and employment, a cross-sectional study

Ā 

Model 1

Model 2

Ā 

OR (95% CI)

OR (95% CI)

Man vs. Woman Household Heada

2.81 (1.06, 7.45)

2.58 (1.05, 6.38)

Employment of Household Head

ā€ƒNot employed vs. Formally employeda

1.64 (0.64, 4.21)

Ā 

ā€ƒSelf-employed vs. Formally employeda

0.99 (0.49, 2.00)

Ā 

Household-level employment status

ā€ƒā€‰<ā€‰50% vs.ā€‰>ā€‰50% of household members employeda

Ā 

1.26 (0.56, 2.85)

ā€ƒ50% vsā€‰>ā€‰50% of household members employeda

Ā 

1.16 (0.63, 2.15)

ā€ƒā€‰<ā€‰50% vs 50% of household members employeda

Ā 

1.08 (0.46, 2.55)

Age of Household Head (continuous)

1.00 (0.98, 1.03)

1.00 (0.98, 1.03)

Education of Household Head

ā€ƒā€‰<ā€‰High school graduate vs.ā€‰ā‰„ā€‰Some college or technical schoola

3.37 (1.54, 7.39)

3.18 (1.46, 6.94)

ā€ƒHigh school graduate vs.ā€‰ā‰„ā€‰Some college or technical schoola

2.25 (1.20, 4.21)

2.26 (1.17, 4.39)

Weekly Food Expenses per Person (continuous)

0.97 (0.96, 0.99)

0.97 (0.96, 0.99)

ā€ƒHosmer and Lemeshow Goodness-of-Fit

ā€ƒTest

Ļ‡2ā€‰=ā€‰4.06

dfā€‰=ā€‰8

p-valueā€‰=ā€‰0.85

Ļ‡2ā€‰=ā€‰4.84

dfā€‰=ā€‰8

p-valueā€‰=ā€‰0.77

  1. aIndicated reference group