Table 1.
Summaries of interrupted time series regression analyses of the impact of the COVID-19 pandemic on suicide and estimated number of cumulative excess deaths by suicide during the pandemic period for males and females of all ages in Japan.
| Pre-pandemic trenda | Pandemic trendb | Rate changec | Trend changed | Cumulative excess deathe | |
|---|---|---|---|---|---|
| (95%CI) | (95%CI) | (95%CI) | (95%CI) | (95%CI) | |
| Male | −0·0052*** | −0·0009 | 0·0475 | 0·0042 | 1208 |
| (−0·0076 to −0·0027) | (−0·0137 to 0·0119) | (−0·1563 to 0·2513) | (−0·0088 to 0·0173) | (−212 to 2629) | |
| Female | −0·0018 | 0·0032 | 0·0798 | 0·0050 | 1825 |
| (−0·0041 to 0·0005) | (−0·0130 to 0·0194) | (−0·1913 to 0·3510) | (−0·0109 to 0·0209) | (−23 to 3672) |
a"Pre-pandemic trend" means the pre-pandemic slope of mortality rates and is the coefficient β1 of the regression equation shown in the text.
b"Pandemic trend" means the slope of mortality rates after the onset of the pandemic and is the sum of β1 and β3.
c"Rate change" means the change in the mortality rates between before and after the onset of the pandemic, and is β2.
d"Trend change" means the difference in the mortality rate slopes before and after the onset of the pandemic, and is β3.
eCumulative difference in suicide rates during the pandemic is calculated using β2 and β3. Cumulative excess deaths are obtained by multiplying the cumulative difference by the mean monthly population. For more details on the computations, please refer to the Stata code in Supplementary .
*p<0·05, **p<0·01, ***p<0·001.