Table 2 Comparison among different types of substance use by socio-demographic variables.
From: Substance and Internet use during the COVID-19 pandemic in China
Characteristics | Increased substance users (n = 125) | Regular substance users (n = 495) | Non-substance users (n = 1576) | χ2 | p | Paired comparisons |
|---|---|---|---|---|---|---|
Age | ||||||
<33 | 54 (43.2) | 208 (42.0) | 834 (52.9) | 20.283 | <0.001 | 3* |
≥33 | 71 (56.8) | 287 (58.0) | 742 (47.1) | |||
Gender | ||||||
Male | 86 (68.8) | 260 (52.5) | 405 (25.7) | 190.993 | <0.001 | 1*;2*;3* |
Female | 39 (31.2) | 235 (47.5) | 1171 (74.3) | |||
Education | ||||||
High school and below | 26 (20.8) | 128 (25.9) | 304 (19.3) | 9.849 | 0.007 | 3* |
College and above | 99 (79.2) | 367 (74.1) | 1272 (80.7) | |||
Occupation | ||||||
Physical labor | 43 (34.4) | 112 (22.6) | 392 (24.9) | 28.958 | <0.001 | 2*;3* |
Mental labor | 41 (32.8) | 145 (29.3) | 377 (23.9) | |||
Students | 33 (26.4) | 183 (37.0) | 685 (53.5) | |||
Unemployed | 8 (6.4) | 55 (11.1) | 122 (7.7) | |||
Marital status | ||||||
Married | 53 (42.4) | 193 (39.0) | 639 (40.5) | 0.622 | 0.733 | |
Unmarried | 72 (57.6) | 302 (61.0) | 937 (59.5) | |||
Place of residence | ||||||
Hubei | 10 (8.0) | 19 (3.8) | 60 (3.8) | 5.312 | 0.070 | |
Other places | 115 (92.0) | 476 (96.2) | 1516 (96.2) | |||
