Table 4 Binary logistic regression for a likelihood of keeping the behavioural changes after the pandemic period

(Constant)

−2.457

−2.79*

−1.999

−2.41*

−4.575

−4.46*

−2.319

−2.79*

−5.101

−5.77*

−2.985

−3.01*

Being a female

0, 1

−0.326

−1.53

−0.433

− 2.13*

−0.343

−1.48

0.467

2.26*

0.085

0.42

0.342

1.44

Being a full-time worker

0, 1

0.291

0.73

−0.215

− 0.61

1.159

2.52*

0.186

0.53

0.406

1.15

−0.520

−1.32

Being a student

0, 1

−0.160

−0.37

− 0.284

−0.72

0.782

1.55

−0.142

−0.36

0.203

0.52

−0.290

−0.68

Have university education

0, 1

0.004

0.02

0.376

1.54

−0.253

−0.94

− 0.405

−1.72**

0.231

0.99

−0.531

−1.98*

Having children within household

0, 1

0.618

2.81*

−0.330

−1.57

−0.076

− 0.31

−0.084

− 0.39

0.288

1.40

0.413

1.64**

Having adults within household

0, 1

−0.433

−1.86**

0.279

1.29

−0.001

0.00

−0.065

−0.30

0.275

1.26

−0.131

−0.52

Having elderly within household

0, 1

0.216

0.73

−0.213

−0.76

− 0.002

−0.01

− 0.052

−0.19

0.250

0.92

0.402

1.30

Living in sweden

0, 1

−0.121

−0.30

0.450

1.15

−0.030

−0.06

− 0.868

−2.18*

1.201

2.85*

−1.408

−3.15*

Living in italy

0, 1

−0.520

−1.32

0.065

0.18

0.604

1.34

−0.457

−1.23

1.069

2.65*

−1.092

−2.62*

Living in india

0, 1

−0.011

−0.02

0.554

1.19

0.491

0.82

0.163

0.33

0.733

1.39

−0.189

− 0.34

Changes in trips for the given activity

[−40, + 40]

− 0.001

− 0.14

0.001

0.11

0.021

2.16*

−0.003

−0.15

0.021

0.89

0.009

1.56

Change in use of internet for work

[−32.5, 32.5]

0.012

1.00

0.003

0.29

−0.003

−0.20

–

–

–

–

–

–

Change in use of internet for work meetings

[−32.5, 32.5]

0.031

2.20*

−0.008

−0.66

0.024

1.61

–

–

–

–

–

–

Change in online shopping (groceries and non-groceries, respectively)

[−32.5, 32.5]

–

–

–

–

–

–

1.181

2.89*

0.998

2.93*

–

–

Change in use of internet for entertainment

[−32.5, 32.5]

–

–

–

–

–

–

–

–

–

–

0.030

1.57

Change in use of internet for personal calls

[−32.5, 32.5]

–

–

–

–

–

–

–

–

–

–

−0.032

−1.52

Likelihood to keep the new work meetings habits

[1, 5]

–

–

0.854

3.49*

2.879

12.15*

−0.486

−1.84**

0.731

3.01*

0.588

2.06*

Likelihood to keep the new commuting habits

[1, 5]

0.905

3.66*

–

–

0.791

3.15*

1.190

5.25*

0.654

2.98*

0.557

2.09*

Likelihood to keep the new work habits

[1, 5]

2.914

12.07*

0.715

2.89*

–

–

0.448

1.67**

0.264

1.06

0.903

3.10*

Likelihood to keep the new shopping habits (grocery)

[1, 5]

−0.462

−1.75**

1.191

5.27*

0.475

1.73**

–

–

2.051

9.92*

0.369

1.37

Likelihood to keep the new shopping habits (non- grocery)

[1, 5]

0.699

2.88*

0.633

2.86*

0.383

1.50

2.032

9.80*

–

–

0.697

2.65*

Likelihood to keep the new free-time habits

[1, 5]

0.523

1.84**

0.552

2.15*

0.938

3.23*

0.426

1.63

0.709

2.77*

–

–

Likelihood to keep the new sport habits

[1, 5]

0.070

0.26

0.105

0.43

0.202

0.71

0.596

2.42*

0.215

0.88

2.800

11.88*

Safety perceived in the workplace

0, 1

0.293

1.24

−0.225

−1.01

−0.427

−1.69**

–

–

–

–

–

–

Safety perceived in stores

0, 1

–

–

–

–

–

–

−0.020

−0.08

0.053

0.22

–

–

Safety perceived being outside

0, 1

–

–

–

–

–

–

–

–

–

–

0.658

2.04*

Safety perceived eating out

0, 1

–

–

–

–

–

–

–

–

–

–

0.184

0.42

Safety perceived using public transport

0, 1

0.036

0.09

0.091

0.25

0.278

0.69

−0.354

−0.89

−0.053

−0.15

− 0.517

−1.08

Safety perceived using private car

0, 1

0.230

0.65

−0.510

−1.55

0.898

2.09*

0.768

2.17*

−0.020

−0.06

0.062

0.15

−2 log likelihood

632.162^a

693.947^a

549.998^a

675.508^a

710.066^a

532.951^a

Cox & snell r square

0.414

0.260

0.429

0.337

0.330

0.403

Nagelkerke r square

0.560

0.373

0.598

0.468

0.452

0.577

Number of samples

781

781

781

781

781

781