Table 5 Socio-demographic, substance, and Internet use characteristics and comparison between positive and negative depression by variables.
From: Substance and Internet use during the COVID-19 pandemic in China
Characteristics | Depression positive (n = 278) | Depression negative (n = 1918) | χ2 | p |
|---|---|---|---|---|
Age | ||||
<33 | 179 (64.4) | 917 (47.8) | 26.693 | <0.001 |
≥33 | 99 (35.6) | 1001 (52.2) | ||
Gender | ||||
Male | 83 (29.9) | 668 (34.8) | 2.667 | 0.102 |
Female | 195 (70.1) | 1250 (65.2) | ||
Education | ||||
High school and below | 68 (24.5) | 390 (20.3) | 2.505 | 0.113 |
College and above | 210 (75.5) | 1528 (79.7) | ||
Occupation | ||||
Physical labor | 80 (28.8) | 467 (24,3) | 4.948 | 0.176 |
Mental labor | 70 (25.2) | 493 (25.7) | ||
Students | 100 (36.0) | 801 (41.8) | ||
Unemployed | 28 (10.1) | 157 (8.2) | ||
Marital status | ||||
Married | 123 (44.2) | 762 (39.7) | 2.058 | 0.151 |
Unmarried | 155 (55.8) | 1156 (60.3) | ||
Place of residence | ||||
Hubei | 17 (6.1) | 72 (3.8) | 3.481 | 0.062 |
Other places | 261 (93.9) | 1846 (96.2) | ||
Substance use | ||||
Increased users | 38 (13.7) | 87 (4.5) | 37.732 | <0.001 |
Regular users | 57 (20.5) | 438 (22.8) | ||
Non-users | 183 (65.8) | 1393 (72.6) | ||
Internet use | ||||
Increased users | 231 (83.1) | 1350 (70.4) | 19.447 | <0.001 |
Regular users | 47 (16.9) | 568 (29.6) | ||
