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Table 3 Multiple linear regression for psychological stress and its influence factors

From: Sex differences and psychological stress: responses to the COVID-19 pandemic in China

Variables

All respondents

Male

Female

Estimates

P values

Estimates

P values

Estimates

P values

Intercept

7.4

<.0001

6.9

<.0001

9.4

<.0001

sex

0.3

0.0036

Age(< 45, ≥45 years)

−0.4

<.0001

−0.4

0.0078

−0.4

0.0009

Education

0.2

<.0001

0.3

<.0001

Employment (Military as reference)

 Unsteady incomea

0.4

0.0002

0.4

0.007

 Unemployed

0.6

0.0211

 Number of diseases self-reported

0.3

0.0041

0.4

0.0077

 Local epidemic status

−0.3

0.0059

 Risk level of the population b

−0.9

0.0038

−1.2

0.0057

 Contacted more than 3 times a week with colleagues

0.3

0.0013

0.4

0.0007

 Desire to acquire knowledge of COVID-19

−0.2

0.0006

−0.3

<.0001

 Time spent on the outbreak in one day

0.1

0.0396

0.2

0.007

 Mood changes comparing with the early epidemic phase

−0.4

<.0001

−0.4

<.0001

−0.4

<.0001

Difficulties encountered (Social limitations as reference)

 Diseases problems

0.5

0.0235

0.8

0.0086

 Psychological problems

1.2

<.0001

1.1

0.0002

1.3

<.0001

 Economic problems

0.8

<.0001

0.8

0.0004

0.9

<.0001

 Unable to work/study

0.3

0.0072

0.3

0.0357

CD-RISC

−0.1

<.0001

−0.1

<.0001

−0.1

<.0001

  1. Notes: a Unsteady income were including farmer, worker, clerical, business and service; b Close contact or completed a medical observation vs. general people