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. 2018 Oct 16;6(4):E463–E470. doi: 10.9778/cmajo.20170153

Table 2:

Prevalence of child abuse and career-related trauma by public safety personnel category

Type of abuse/trauma Category; no. (%) of respondents* Significant differences
Total
n = 4073
Municipal/provincial police (a)
n = 1091
Royal Canadian Mounted Police (b)
n = 1027
Correctional workers (c)
n = 577
Firefighters (d)
n = 619
Paramedics (e)
n = 550
Call center operators/dispatchers (f)
n = 209
Slapped on face, head or ears, or hit or spanked with something hard 1880 (46.0) 482 (44.2) 440 (42.6) 280 (48.5) 305 (48.9) 278 (50.0) 95 (45.5) a < e
b < c, d, e
Pushed, grabbed or shoved, or something thrown at him/her 831 (20.4) 205 (18.9) 198 (19.3) 144 (25.0) 121 (19.4) 104 (18.7) 59 (28.8) a < c, f
b < c, f
d < c, f
e < c, f
Kicked, bit, punched, choked, burned or attacked 546 (13.2) 127 (11.5) 124 (11.8) 91 (15.7) 85 (13.3) 86 (15.2) 33 (15.4) a < c, e
b < c
Any physical abuse 2018 (49.4) 523 (47.9) 477 (46.3) 296 (51.2) 326 (52.4) 295 (53.2) 101 (48.6) a < e
b < d, e
Sexual abuse 583 (14.1) 139 (12.7) 129 (12.3) 132 (22.8) 47 (7.4) 86 (15.2) 50 (23.8) a < c, f
b < c, f
d < a, b, c, e, f
e < f, c
Exposure to intimate partner violence 368 (8.9) 94 (8.5) 94 (9.0) 62 (10.6) 45 (7.0) 48 (8.5) 25 (11.7) d < c, f
Any child abuse 2275 (55.9) 594 (54.4) 547 (53.3) 343 (59.4) 340 (54.9) 332 (60.4) 119 (56.9) a < c, e
b < c, e
No. of types of child abuse
 0 1798 (44.7) 497 (46.4) 480 (47.1) 234 (41.3) 279 (45.7) 218 (40.1) 90 (43.9) c < a, b
e < a, b
 1 1622 (40.4) 436 (40.7) 408 (40.0) 209 (36.9) 261 (42.8) 236 (43.4) 72 (35.1) c < d, e
f < e
 ≥ 2 598 (14.9) 139 (13.0) 132 (12.9) 124 (21.9) 70 (11.5) 90 (16.5) 43 (21.0) a < c, f
b < c, f
d < c, e, f
e < c
Any career-related trauma 3947 (94.0) 95.2 (1061) 1016 (95.9) 502 (84.9) 614 (94.8) 557 (97.2) 197 (92.1) c < a, b, d, e, f
d < e
f < b, e
*

Denominators vary as not all respondents answered all questions.

Significant differences at p < 0.05 in the prevalence of a history of child abuse and any career-related trauma between different public safety personnel categories based on logistic regression analyses.