Table 3.
Binary logistic regression of risk factors for poor sleep quality during COVID-19 outbreak.
Variable | OR (95%CI) | |||
---|---|---|---|---|
UnivariateAnalysis | P value | MultivariableAnalysis | P value | |
Age (y) | ||||
18-35 | Ref | |||
36-44 | 1.53 (1.23–1.91) | <0.01 | NA | NA |
45-65 | 1.50 (1.15–1.95) | <0.01 | NA | NA |
Male | 0.93 (0.77–1.13) | 0.47 | NA | NA |
Marital status | ||||
Unmarried | Ref | |||
Married | 1.81 (1.48–2.22) | <0.01 | NA | NA |
Divorced or widowed | 1.33 (0.73–2.42) | 0.35 | NA | NA |
Education level | 0.37 | |||
≤12years | Ref | |||
>12years | 1.22 (0.79–1.89) | NA | NA | |
Smoker | 1.00 (0.72–1.39) | 0.99 | NA | NA |
Alcohol use | 1.12 (0.88–1.42) | 0.34 | NA | NA |
BMI | 1.15 (0.96–1.39) | |||
<18.5 | Ref | |||
18.5-23.9 | 0.98 (0.69–1.38) | 0.89 | NA | NA |
24.0-30 | 1.14 (0.79–1.66) | 0.48 | NA | NA |
>30 | 1.81 (0.68–4.85) | 0.24 | NA | NA |
Region | 0.68 | |||
Hubei Outside Wuhan | Ref | NA | NA | |
Wuhan | 1.04 (0.86–1.26) | NA | NA | |
COVID-19 diagnosed or suspected | 1.83 (0.89–3.77) | 0.10 | NA | NA |
Comorbidities | 1.90 (1.26–2.87) | <0.01 | NA | NA |
Occupation | ||||
Non-medical staff | Ref | Ref | ||
Non-frontline medical staff | 1.98 (1.58–2.48) | <0.01 | 2.07 (1.62–2.64) | <0.01 |
Frontline medical staff | 2.33 (1.83–2.96) | <0.01 | 2.33 (1.79–3.02) | <0.01 |
Shortage of supplies | 1.51 (1.20–1.89) | <0.01 | NA | NA |
Burden of caring for the elderly or children | 1.76 (1.46–2.11) | <0.01 | 1.47 (1.18–1.75) | <0.01 |
Family infected with 2019-nCOV | 1.08 (0.84–1.39) | 0.56 | NA | NA |
COVID-related bereavement | 2.54 (1.73–3.75) | <0.01 | 1.91(1.26–2.91) | 0.01 |
Anxiety | 5.75 (4.29–7.71) | <0.01 | 2.98(2.13–4.15) | <0.01 |
Depression | 4.75 (3.80–5.94) | <0.01 | 2.96(2.30–3.82) | <0.01 |
BMI, body mass index; COVID-19, Corona Virus Disease 2019; OR, odds ratio; Ref, reference; NA, not applicable.