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. 2022 May 14;26(7):1529–1539. doi: 10.1007/s10995-022-03448-9

Table 5.

Multinomial logistic regression model predicting food insecurity

No hardship vs present hardship (ref) Recent hardship vs present hardship (ref)
RRR RRR
(95% CI) P value (95% CI) P value
Medicaid 0.34  < 0.001 0.79 0.364
(0.23,0.50) (0.48,1.31)
Education
 High school 0.87 0.581 0.68 0.177
(0.54,1.42) (0.39,1.19)
 Some college 0.89 0.653 0.87 0.650
(0.52,1.50) (0.48,1.58)
 College +  1.89 0.051 0.96 0.919
(0.998,3.58) (0.46,2.01)
Income-to-poverty ratio 1.46  < 0.001 1.24 0.008
(1.28,1.67) (1.06,1.45)
Race/ethnicity
 Non-Hispanic Black 1.10 0.714 1.81 0.043
(0.65,1.88) (1.02,3.20)
 Hispanic 0.92 0.722 1.39 0.179
(0.60,1.43) (0.86,2.23)
Other race/ethnicity 0.67 0.161 0.79 0.500
(0.38,1.18) (0.40,1.57)
Multiple race/ethnicity 0.95 0.914 1.04 0.949
(0.41,2.25) (0.36,3.00)
Language other than English spoken at home 1.38 0.189 1.08 0.775
(0.85,2.24) (0.64,1.82)
Marital status
 Previously married 0.40  < 0.001 0.62 0.031
(0.27,0.58) (0.40,0.96)
 Never married 0.72 0.168 0.71 0.205
(0.45,1.15) (0.41,1.21)
# of children in home 0.98 0.830 0.87 0.221
(0.80,1.19) (0.70,1.09)
Age of youngest child 1.00 0.910 0.99 0.738
(0.96,1.04) (0.95,1.04)

Data: 2014 Survey of Income and Program Participation; N = 2422

Bolded coefficients are statistically significant at P < .05

RRR relative risk ratio