Table 7 Results of multiple logistic regression analysis on factors significantly associated with depression and anxiety.
From: Substance and Internet use during the COVID-19 pandemic in China
Variables | p | OR (95%CI) |
|---|---|---|
Depression | ||
Age(<33 vs. ≥33) | <0.001 | 2.034 (1.558, 2.656) |
Substance use (regular users vs. nonusers) | 0.493 | 1.119 (0.811, 1.543) |
Substance use (increased users vs. nonusers) | <0.001 | 3.439 (2.257, 5.238) |
Internet use (increased users vs. regular users) | <0.001 | 1.914 (1.371, 2.670) |
Anxiety | ||
Gender (female vs. male) | <0.001 | 2.065 (1.433, 2.977) |
Material status (unmarried vs. married) | 0.017 | 1.480 (1.072, 2.043) |
Occupation (physical labor with students) | <0.001 | 2.334 (1.560, 3.494) |
Occupation (mental labor with students) | 0.001 | 1.946 (1.293, 2.930) |
Occupation (unemployed with students) | <0.001 | 3.030 (1.815, 5.059) |
Substance use (regular users vs. nonusers) | 0.095 | 1.379 (0.946, 2.012) |
Substance use (increased users vs. nonusers) | <0.001 | 4.291 (2.595, 7.097) |
