Table 3 Logistic regression analysis of the influencing factors of anxiety among population

Gender

Women

Men

0.018

1.359

1.054–1.752

career

Civil servant

0.007

Student

0.754

1.114

0.568–2.185

Middle and senior manager

0.310

1.511

0.681–3.354

blue-and-white collar workers

0.298

1.437

0.726–2.844

Professional staff

0.744

1.135

0.530–2.434

medical professionals

0.019

2.416

1.156–5.051

religion

NO

Yes

0.032

1.444

1.032–2.019

Frequency of receiving information regarding COVID-19

Often

0.014

Rarely

0.979

0.995

0.674–1.467

Sometimes

0.007

0.704

0.546–0.909

COVID-19 Information from News App

No

Yes

0.027

0.741

0.568–0.966

Difficulty accessing medical treatment

Not sick or not difficult

Yes

0.010

1.675

1.132–2.478

Fear induced by information relevant to COVID-19

M ± SD (4.01 ± 2.64)

0.005

1.090

1.027–1.157

Desperation induced by information relevant to COVID-19

Mean ± SD(1.91 ± 1.77)

0.000

1.113

1.049–1.182

Confusion induced by information relevant to COVID-19

Mean ± SD (3.55 ± 2.65)

0.000

1.117

1.057–1.181

Sadness induced by information relevant to COVID-19

Mean ± SD (3.86 ± 2.88)

0.005

1.078

1.023–1.136

Physical Discomfort induced by information relevant to COVID-19

Mean ± SD(1.94 ± 1.73)

0.000

1.192

1.128–1.260

Mental health disorder

None

Having one mental health disorder

0.000

2.459

1.846–3.277

Comorbidities with one mental health disorders

0.000

4.398

3.152–6.138

Comorbidities with two or more mental health disorders

0.000

6.788

4.575–10.071

Daily online time

0 h < time ≤ 3 h

3 h < time ≤ 5 h

0.954

0.987

0.637–1.530

5 h < time ≤ 7 h

0.568

1.140

0.727–1.790

7 h < time ≤ 9 h

0.050

1.594

1.000–2.541

>  9 h

0.001

2.131

1.380–3.291

Experience with traumatic incidents

Negative

Positive

0.000

0.434

0.312–0.605

Did not experiences

0.000

0.492

0.370–0.654

Constant

0.000

0.004