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. 2021 Feb 9;81:176–192. doi: 10.1016/j.ijintrel.2021.01.013

Table 7.

Results of Poisson regression models on the association between age, ethno-cultural group, occupation and geographical location and total counts of reasons and contexts of COVID-related discrimination (n = 541).

Variables Total counts for reasons
Total counts for contexts
Estimate (95 % CI) LR χ2 (df) Estimate (95 % CI) LR χ2 (df)
Age 0.734(2) 9.438(2)**
18−39 years Ref Ref
40−59 years −0.001 (-0.136, 0.133) −0.199 (-0.402, 0.003)
≥ 60 years −0.129 (-0.326, 0.067) −0.493 (-0.776, -0.210) ***
Race/ethnicity 12.011(6) 6.399(6)
White Ref Ref
East Asian −0.089 (-0.295, 0.116) 0.120 (-0.161, 0.401)
South Asian 0.433 (0.158, 0.708)** 0.267 (-0.093, 0.627)
Black 0.113 (-0.075, 0.300) 0.115 (-0.126, 0.356)
South East Asian −0.066 (-0.366, 0.234) 0.363 (-0.007, 0.733)
Arab 0.173 (-0.033, 0.380) 0.132 (-0.152, 0.417)
Other 0.302 (-0.205, 0.809) 0.497* (0.030, 0.964)
Occupation 2.910(4) 2.783(4)
Unemployed [not because of COVID-19] Ref Ref
Essential worker [not healthcare] 0.158 (-0.010, 0.326) −0.071 (-0.327, 0.185)
Non-essential worker 0.044 (-0.122, 0.210) −0.215 (-0.469, 0.039)
Essential health-care worker 0.177 (-0.009, 0.363) −0.072 (-0.319, 0.175)
Lost job because of COVID-19 0.078 (-0.088, 0.244) −0.054 (-0.305, 0.196)
Geographical location 0.011(1) 2.773(1)
Outside Greater Montreal Area Ref Ref
Greater Montreal Area 0.009 (-0.121, 0.140) −0.158 (-0.330, 0.014)

Note. *p < .05; ** p < .01; ***p < .001. All models included gender, education, immigrant status and exposure to COVID-19 as control variables.