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Table 2 Multiple linear regression analysis for the factors affecting sleep quality in undergraduates in Chongqing, China

From: Influence of WeChat on sleep quality among undergraduates in Chongqing, China: a cross-sectional study

Parameter Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Component 7 Global PSQI score
B (SE) p B (SE) p B (SE) p B (SE) p B (SE) p B (SE) p B (SE) p B (SE) p
Male versus female −0.12 (0.03) 0.000 −0.16 (0.05) 0.001 0.07 (0.04) 0.046 0.55 (0.08) <0.0001 −0.12 (0.03) < 0.001 −0.02 (0.02) 0.470 −0.12 (0.04) 0.008 0.08 (0.14) 0.556
21–24 versus ≤20 years 0.04 (0.04) 0.204 0.10 (0.05) 0.076 −0.03 (0.04) 0.501 0.11 (0.08) 0.206 0.05 (0.03) 0.119 −0.00 (0.02) 0.926 0.02 (0.05) 0.653 0.29 (0.15) 0.052
25–28 versus ≤20 years 0.25 (0.35) 0.478 0.47 (0.51) 0.361 0.30 (0.38) 0.427 −0.83 (0.80) 0.298 0.45 (0.27) 0.100 0.20 (0.2) 0.387 0.23 (0.45) 0.609 1.06 (1.40) 0.448
Sophomore versus freshman −0.04 (0.04) 0.235 −0.00 (0.05) 0.948 0.14 (0.04) 0.000 −0.31 (0.08) 0.000 −0.01 (0.03) 0.652 0.02 (0.02) 0.404 −0.07 (0.05) 0.120 −0.28 (0.14) 0.054
Junior versus freshman −0.06 (0.05) 0.187 0.03 (0.07) 0.648 0.03 (0.05) 0.537 −0.35 (0.10) 0.001 −0.06 (0.04) 0.107 0.04 (0.03) 0.186 −0.10 (0.06) 0.082 −0.47 (0.18) 0.011
The student leader (yes vs. no) −0.03 (0.03) 0.258 −0.09 (0.04) 0.046 −0.03 (0.03) 0.353 −0.02 (0.07) 0.783 −0.03 (0.02) 0.231 0.01 (0.02) 0.723 −0.06 (0.04) 0.105 −0.25 (0.12) 0.036
Minority versus han −0.06 (0.06) 0.254 −0.01 (0.08) 0.939 0.23 (0.06) 0.000 0.06 (0.13) 0.670 −0.00 (0.04) 0.980 0.05 (0.04) 0.192 −0.16 (0.07) 0.031 0.11 (0.23) 0.633
The only child (yes vs. no) −0.1 (0.03) < 0.001 −0.17 (0.04) < 0.001 0.03 (0.03) 0.300 −0.18 (0.07) 0.006 −0.09 (0.02) <0.0001 0.03 (0.02) 0.094 −0.05 (0.04) 0.164 −0.53 (0.11) <0.0001
In love (yes vs. no) −0.04 (0.03) 0.221 −0.05 (0.04) 0.268 0.05 (0.03) 0.164 0.18 (0.07) 0.009 0.02 (0.02) 0.501 0.01 (0.02) 0.593 −0.08 (0.04) 0.049 0.09 (0.12) 0.448
Living costs (800–1000 vs. <800) −0.01 (0.04) 0.740 0.04 (0.05) 0.505 −0.06 (0.04) 0.129 0.30 (0.09) 0.000 −0.02 (0.03) 0.413 −0.01 (0.02) 0.705 0.01 (0.05) 0.909 0.24 (0.15) 0.109
Living costs (more than 1000 vs. <800) −0.00 (0.04) 0.937 0.12 (0.06) 0.045 0.01 (0.04) 0.760 0.00 (0.09) 0.993 0.04 (0.03) 0.231 0.04 (0.03) 0.160 −0.01 (0.05) 0.864 0.19 (0.16) 0.235
Medical university versus comprehensive university −0.01 (0.05) 0.873 0.09 (0.07) 0.194 0.10 (0.05) 0.051 −0.24 (0.10) 0.023 −0.01 (0.04) 0.698 −0.03 (0.03) 0.266 −0.24 (0.06) < 0.001 −0.35 (0.18) 0.050
Technological university versus comprehensive university −0.08 (0.04) 0.061 0.03 (0.06) 0.599 0.18 (0.05) 0.000 −0.20 (0.10) 0.047 0.06 (0.03) 0.113 0.05 (0.03) 0.106 −0.21 (0.06) 0.000 −0.18 (0.18) 0.315
Normal university versus comprehensive university −0.03 (0.05) 0.535 0.03 (0.07) 0.679 0.11 (0.05) 0.032 −0.26 (0.11) 0.017 0.02 (0.04) 0.514 −0.00 (0.03) 0.98 −0.22 (0.06) 0.000 −0.35 (0.19) 0.071
University of foreign languages versus comprehensive university −0.07 (0.05) 0.102 −0.19 (0.07) 0.003 −0.04 (0.05) 0.407 −0.44 (0.10) < 0.000 0.02 (0.04) 0.561 0.01 (0.03) 0.647 −0.16 (0.06) 0.006 −0.88 (0.18) <0.0001
WeChat (use vs. not use) −0.07 (0.03) 0.038 −0.11 (0.04) 0.012 −0.05 (0.03) 0.123 −0.75 (0.07) < 0.000 −0.03 (0.02) 0.244 −0.05 (0.02) 0.005 −0.18 (0.04) < 0.001 −1.23 (0.12) <0.0001
  1. Component 1: subjective quality of sleep, component 2: sleep latency, component 3: sleep duration, component 4: habitual sleep efficiency, component 5: sleep disorders, component 6: use of sleeping medication, component 7: daytime dysfunction
  2. p values in italics denote statistically significant (p < 0.05)