Table 4.
Binary logistic regression for a likelihood of keeping the behavioural changes after the pandemic period
| Variable ranges | Likelihood to keep the new work meetings habits | Likelihood to keep the new commuting habits | Likelihood to keep the new work habits | Likelihood to keep the new shopping habits (groceries) | Likelihood to keep the new shopping habits (non-groceries) | Likelihood to keep the new free-time habits | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Variables ranges | [1, 5] | [1, 5] | [1, 5] | [1, 5] | [1, 5] | [1, 5] | |||||||
| B | t | B | t | B | t | B | t | B | t | B | t | ||
| (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 | 632.162a | 693.947a | 549.998a | 675.508a | 710.066a | 532.951a | |||||||
| 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 | |||||||
We asked about the likelihood of keeping the new behaviour with multiple choice from 1 (not likely) to 4 very likely) and we grouped the responses into: “likely to keep the habit” (answered 3 or 4) and “not very likely to keep the habit” (answered 1 or 2). A larger t coefficient means a larger likelihood to keep the new habits, compared to their counterparts. One star (*) indicates 95% confidence level, two stars (**) indicates 90% confidence level