Table 2.
The impact of lockdown policies on public mental health.
| State | Date | Intercept |
P value |
Timea |
P value |
Policyb |
P value |
Time*policyc |
P value |
F statistic |
P value |
| Michigan | March 24, 2020 | 0.0528 | <.001 | –0.0021 | .003 | –0.0214 | .17 | 0.002 | .03 | 4.669 | .009 |
| North Carolina | March 30, 2020 | 0.0461 | <.001 | –0.0015 | .04 | –0.0228 | .16 | 0.0017 | .08 | 2.509 | .08 |
| Ohio | March 23, 2020 | 0.0429 | <.001 | –0.0013 | .03 | –0.0117 | .39 | 0.0012 | .14 | 2.078 | .13 |
| Pennsylvania | April 1, 2020 | 0.0254 | <.001 | 0.0002 | .63 | 0.0288 | .007 | –0.0012 | .04 | 3.033 | .046 |
aTime: a continuous variable encoding the number of days in the research period (15 days before and after lockdown).
bPolicy: a binary variable, encoded as 0 before the lockdown policy and 1 after the policy.
cTime*policy: the interaction term of time and policy.