Table 2.
Linear regression analysis for predictors of stress in college students during the COVID-19 pandemic according to perceived stress.
Parameter | Beta | Std. Error | 95% Wald Confidence Interval | Hypothesis Test | |||
---|---|---|---|---|---|---|---|
Lower | Upper | Wald Chi-Square | Sig. | ||||
(Intercept) | 34.157 | 5.3813 | 23.610 | 44.705 | 40.290 | .000 | |
Age | −0.677 | .2086 | −1.086 | −0.268 | 10.526 | .001⁎⁎ | |
Gender | |||||||
Male# | −6.768 | 1.1540 | −9.030 | −4.506 | 34.399 | .000⁎⁎⁎ | |
Female§ | |||||||
Income | |||||||
< 2090.00 Brazilian reais/month# |
2.031 | .9755 | .119 | 3.943 | 4.336 | .037* | |
> 2090.00 Brazilian reais/month§ | |||||||
Number of people they live with | .318 | .3560 | −0.380 | 1.016 | .797 | .372 | |
Academic semester | −0.521 | .3001 | −1.110 | .067 | 3.017 | .082 | |
Social distancing | |||||||
No# | −0.557 | 1.7211 | −3.930 | 2.816 | .105 | .746 | |
Yes§ | |||||||
Physical exercise | |||||||
No# | .270 | .9460 | −1.585 | 2.124 | .081 | .776 | |
Yes§ | |||||||
Chronotype (HO-MEQ) | −0.002 | .0445 | −0.090 | .085 | .003 | .956 | |
Sleep quality (PSQI) | 1.013 | .1586 | .702 | 1.324 | 40.761 | .000 | |
Anxious state due to pandemic | |||||||
Never to sometimes# | −3.520 | 1.0045 | −5.489 | −1.551 | 12.280 | .000⁎⁎⁎ | |
Often to very often§ | |||||||
Sadness state due to pandemic | |||||||
Never to sometimes# | .154 | 1.7361 | −3.249 | 3.556 | .008 | .929 | |
Often to very often§ | |||||||
Study moment | |||||||
Before remote classes# | −3.959 | .9419 | −5.806 | −2.113 | 17.671 | .000⁎⁎⁎ | |
During remote classes§ | |||||||
(Scale) | 35.329 | 3.7554 | 28.685 | 43.513 |
N = 177. Std.= Standard; df= degree of freedom; Sig.= significance; #= dichotomous covariate analyzed as 0; §= dichotomous covariate analyzed as 1; HO-MEQ= Horne & Ostberg Morningness-Eveningness Questionnaire (higher scores of this instrument indicate more morning chronotype, while lower scores indicate more evening chronotype); PSQI= Pittsburgh Sleep Quality Index (higher scores of this instrument indicate lower sleep quality). The analysis was performed using generalized linear models.
p<0.05,.
p<0.01,.
p<0.001.