Table 1.
Effects of the implementation amounts of EFECBSC sub-divisions, unemployment rate and per capita GDP on EBSMR trends
| Adjusted R2 | F | p | Factor | β | p | VIF | ||
| Male + female | ||||||||
| 20s | 0.450 | 13.547 | 0.001 | Prefectural | TCS | −0.234 | 0.05 | 1.12 |
| Prefectural | DLL | 0.376 | 0.01 | 1.10 | ||||
| Prefectural | ELM | −0.598 | 0.001 | 1.20 | ||||
| 30s | 0.264 | 9.247 | 0.001 | Prefectural | IVM | −0.323 | 0.05 | 1.04 |
| Municipal | ELM | −0.38 | 0.01 | 1.04 | ||||
| 40s | ||||||||
| 50s | 0.380 | 10.388 | 0.001 | Prefectural | PCS | 0.319 | 0.01 | 1.02 |
| Prefectural | ELM | −0.418 | 0.001 | 1.02 | ||||
| CUR | 0.440 | 0.001 | 1.00 | |||||
| 60s | 0.336 | 6.812 | 0.001 | Prefectural | IVM | −0.375 | 0.01 | 1.11 |
| Municipal | PCS | 0.369 | 0.01 | 1.20 | ||||
| Municipal | ELM | −0.308 | 0.05 | 1.11 | ||||
| CUR | 0.325 | 0.05 | 1.11 | |||||
| 70s | 0.406 | 11.463 | 0.001 | Prefectural | ELM | −0.300 | 0.05 | 1.15 |
| Municipal | TCS | −0.352 | 0.01 | 1.15 | ||||
| Municipal | ELM | −0.427 | 0.001 | 1.09 | ||||
| 80s | 0.359 | 9.595 | 0.001 | Prefectural | PCS | −0.268 | 0.05 | 1.04 |
| Prefectural | ELM | −0.346 | 0.01 | 1.08 | ||||
| Prefectural | IVM | −0.321 | 0.05 | 1.08 | ||||
| Male | ||||||||
| 20s | 0.419 | 34.151 | 0.001 | Prefectural | ELM | −0.657 | 0.001 | 1.00 |
| 30s | 0.196 | 6.613 | 0.01 | Prefectural | IVM | −0.328 | 0.05 | 1.04 |
| Municipal | ELM | −0.295 | 0.05 | 1.04 | ||||
| 40s | 0.133 | 8.034 | 0.01 | Municipal | DLL | −0.389 | 0.01 | 1.00 |
| 50s | 0.497 | 16.122 | 0.001 | Prefectural | PCS | 0.265 | 0.05 | 1.02 |
| Prefectural | ELM | −0.552 | 0.001 | 1.02 | ||||
| CUR | 0.455 | 0.001 | 1.00 | |||||
| 60s | 0.291 | 7.281 | 0.001 | Prefectural | PCS | 0.267 | 0.05 | 1.02 |
| Prefectural | ELM | −0.417 | 0.01 | 1.02 | ||||
| CUR | 0.363 | 0.01 | 1.00 | |||||
| 70s | 0.322 | 11.934 | 0.001 | Prefectural | ELM | −0.460 | 0.001 | 1.03 |
| Municipal | DLL | −0.305 | 0.05 | 1.03 | ||||
| 80s | 0.343 | 8.995 | 0.001 | Prefectural | ELM | −0.408 | 0.01 | 1.07 |
| Prefectural | IVM | −0.367 | 0.01 | 1.16 | ||||
| Municipal | PCS | 0.274 | 0.05 | 1.09 | ||||
| Female | ||||||||
| 20s | ||||||||
| 30s | ||||||||
| 40s | ||||||||
| 50s | 0.136 | 8.264 | 0.01 | Prefectural | PCS | 0.394 | 0.01 | 1.00 |
| 60s | ||||||||
| 70s | 0.217 | 13.726 | 0.01 | Municipal | DLL | −0.483 | 0.001 | 1.00 |
| 80s | 0.146 | 8.854 | 0.01 | Municipal | ELM | −0.405 | 0.01 |
Effects of implementation amount of 10 EFECBSC sub-divisions, trends of complete unemployment rates (CUR) and GDP per capita on EBSMR trends of male plus female, male and female mortality analysed by stepwise multiple regression analysis.
CUR, complete unemployment rate; DLL, development programme of leaders and listeners; EBSMR, empirical Bayes standardised mobile ratio; EFECBSC, Emergency Fund to Enhance Community-Based Suicide Countermeasures; ELM, enlightenment programme; IVM, intervention model programme; PCS, personal consultation support programme; TCS, telephone consultation support programme; VIF, variance inflation factor.