Table 3 Differences in factors associated with tobacco, alcohol, and cannabis use in the past six months, stratified by gender identity among transgender and non-binary participants

Socioeconomic status

 Lower middle

1.25 (0.69, 2.25)

1.94 (0.72, 5.22)

0.51 (0.05, 4.88)

0.87 (0.47, 1.60)

1.34 (0.43, 4.20)

2.38 (0.26, 22.13)

1.06 (0.50, 2.26)

1.15 (0.31, 4.31)

5.49 (0.20, 153.81)

 Upper middle

1.24 (0.68, 2.25)

2.09 (0.72, 6.06)

0.76 (0.09, 6.48)

0.95 (0.48, 1.87)

1.34 (0.41, 4.37)

2.69 (0.15, 47.07)

1.03 (0.46, 2.31)

1.48 (0.36, 6.12)

1.37 (0.05, 37.15)

 Upper

1.18 (0.46, 3.01)

1.49 (0.41, 5.39)

0.13 (0.004, 3.99)

1.53 (0.47, 4.97)

1.04 (0.24, 4.63)

0.33 (0.01, 10.13)

0.91 (0.27, 3.06)

0.91 (0.15, 5.46)

0.92 (0.01, 81.29)

Education

 HS or trade

0.34 (0.11, 0.99)

3.27 (0.61, 17.40)

0.26 (0.01, 8.17)

0.83 (0.33, 2.11)

1.18 (0.22, 6.36)

0.26 (0.01, 9.07)

0.63 (0.20, 1.94)

0.38 (0.05, 2.80)

0.16 (0.004, 6.17)

 College

0.28 (0.10, 0.82)

1.76 (0.35, 8.81)

0.16 (0.1, 5.48)

1.40 (0.57, 3.48)

2.89 (0.59, 14.09)

0.51 (0.02, 15.07)

0.84 (0.29, 2.50)

0.55 (0.09, 3.43)

0.83 (0.04, 18.33)

Age

 25–40 years

0.87 (0.57, 1.33)

0.94 (0.45, 1.96)

0.44 (0.06, 3.13)

0.92 (0.47, 1.48)

1.17 (0.54, 2.53)

2.05 (0.19, 21.88)

1.52 (0.90, 2.58)

0.98 (0.38, 2.52)

4.13 (0.28, 61.25)

 40 + 

0.77 (0.46, 1.28)

0.42 (0.16, 1.07)

0.61 (0.09, 4.08)

0.54 (0.31, 0.93)

0.59 (0.21, 1.61)

2.64 (0.32, 22.08)

1.05 (0.54, 2.02)

0.45 (0.11, 1.75)

2.33 (0.06, 88.41)

Refused

 Health services

0.86 (0.49, 1.51)

1.39 (0.49, 3.96)

2.03 (0.07, 59.94)

0.81 (0.41, 1.59)

1.25 (0.40, 3.89)

1.53 (0.06, 38.18)

1.43 (0.67, 3.04)

1.78 (0.55, 5.77)

1.01 (0.02, 42.86)

 Police services

1.04 (0.60, 1.78)

1.24 (0.49, 3.14)

0.67 (0.04, 11.15)

0.91 (0.49, 1.68)

1.40 (0.54, 3.64)

0.91 (0.05, 16.52)

1.10 (0.50, 2.40)

0.67 (0.21, 2.07)

2.37 (0.10, 55.40)

 Disability status

1.04 (0.56, 1.95)

1.99 (0.59, 6.80)

1.24 (0.12, 12.80)

1.06 (0.45, 2.49)

1.20 (0.37, 3.94)

0.76 (0.03, 18.84)

1.76 (0.80, 3.89)

2.88 (0.83, 9.99)

3.15 (0.12, 79.82)

 Job lost due to COVID

0.75 (0.40, 1.42)

0.86 (0.25, 2.99)

0.53 (0.05, 5.82)

1.28 (0.60, 2.74)

0.62 (0.16, 2.38)

0.23 (0.01, 4.69)

1.12 (0.50, 2.53)

0.49 (0.09, 2.75)

0.96 (0.03, 28.63)

City

 Small city

0.87 (0.40, 1.89)

0.38 (0.06, 2.20)

0.55 (0.004, 71.40)

1.66 (0.76, 3.62)

11.71 (1.32, 104.06)

Omitted

0.73 (0.25, 2.17)

0.81 (0.11, 6.01)

Omitted

 Large city

1.15 (0.55, 2.38)

0.95 (0.19, 4.81)

0.41 (0.004, 42.09)

1.85 (0.88, 3.89)

3.92 (0.57, 26.72)

1.32 (0.49, 3.60)

0.45 (0.07, 3.15)

Region

 American

0.70 (0.40, 1.23)

0.65 (0.23, 1.84)

0.08 (0.01, 0.74)

2.81 (1.26, 6.26)

2.46 (0.63, 9.61)

0.51 (0.06, 4.11)

4.58 (2.50, 8.43)

2.33 (0.71, 7.67)

NA

 South East Asian

0.38 (0.25, 0.59)

0.36 (0.10, 1.33)

1.85 (0.20, 16.78)

0.49 (0.31, 0.77)

0.21 (0.05, 0.88)

0.24 (0.03, 2.07)

0.80 (0.45, 1.45)

0.20 (0.02, 2.11)

3.85 (0.37, 40.00)

 Eastern Mediterranean

1.92 (0.73, 5.01)

0.66 (0.25, 1.72)

2.28 (0.10, 51.25)

0.64 (0.27, 1.53)

0.38 (0.14, 1.01)

NA

2.67 (1.10, 6.49)

0.89 (0.26, 3.11)

9.44 (0.33, 272.96)

 Western Pacific

0.36 (0.13, 1.01)

0.20 (0.03, 1.37)

NA

0.75 (0.26, 2.18)

1.26 (0.15, 10.76)

NA

1.42 (0.43, 4.71)

NA

0.49 (0.01, 23.68)

 African

0.30 (0.03, 3.61)

0.15 (0.01, 2.07)

NA

NA

1.70 (0.15, 19.86)

NA

2.67 (0.21, 34.23)

1.14 (0.07, 18.74)

NA