Table 1 Pearson correlations among sleep variables with commuting and workplace accidents’ rates of chilean workers
From: Sleep problems are related to commuting accidents rather than to workplace accidents
Workplace Accidents | Commuting Accidents | ||||||||
|---|---|---|---|---|---|---|---|---|---|
Males | Females | Total | Males | Females | Total | ||||
Quantity | |||||||||
Sleep Hours | −.239 | .067 | −.224 | −.520 | * | −.278 | −.545 | * | |
Quality | |||||||||
S. Quality (LM) | .460 | # | −.416 | .287 | .397 | −.200 | .186 | ||
Use of Medic. | .029 | .190 | −.075 | −.435 | −.308 | −.369 | |||
Sleepiness | .297 | −.327 | .340 | .446 | # | −.149 | .227 | ||
Sleep problems | .403 | −.316 | .290 | .362 | −.060 | .275 | |||
Dif. Feel. Rested | .437 | −.401 | .247 | .370 | −.188 | .173 | |||
S. Quality (LY) | −.323 | .293 | −.249 | −.312 | .190 | −.156 | |||