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. 2022 May 20;46(2):309–316. doi: 10.1080/10790268.2022.2039856

Table 1.

Demographic and injury characteristics of participants.

  SI +
n = 21 (33.3%)		 SI –
n = 42
(66.7%)		 Total
n = 63		 Statistics
Age (years) 33.7 ± 12.5 38.4 ± 13.6 36.8 ± 13.3  t(61) = 1.319, P = 0.192
Sex n (%)

  • Female

  • Male
9 (43%)
12 (57%)
12 (29%)
30 (71%)
21 (33%)
42 (67%)		 χ²=1.286, df =1, P =0.257
Education (years) 9 ± 3.3 8.7 ± 4.1 8.9 ± 3.8 U = 451, P = 0.882
Relationship status

  • Single

  • Married

  • Divorced/widowed
10(48%)
10(48%)
1 (4%)
17 (40%)
23 (55%)
2 (5%)
27 (43%)
33 (52%)
3 (5%)		 χ²=3.303, df =3, P =0.347
Current employment status

  • Employed

  • Unemployed
2 (5%)
19 (90%)
5 (12%)
37 (88%)
4 (6%)
59 (94%)		 χ²=0.134, df =2, P =0.935
Age at the time of injury 30 ± 13.3 34.8 ± 15 33 ± 15 U = 357.5, P = 0.223
Time since injury (month)
min-max		 44.8 ± 58.5
3–228		 42.1 ± 42.9
3–192		 43 ± 48
3–228		 U = 416.5, P = 0.721
Type of injury

  • Motor vehicle accident

  • Sports injury

  • Fall

  • Industrial

  • Diving in shallow water

  • Act of violence
8 (38%)
-
7 (33%)
2 (10%)
3 (14%)
1 (5%)
14 (33%)
1 (2%)
15 (35%)
4 (10%)
4 (10%)
4 (10%)
22 (35%)
1 (2%)
22 (35%)
6 (9%)
7 (11%)
5 (8%)		 χ²=2.649, df =6, P =0.851
Type and level of injuryParaplegia

  • Complete

  • Incomplete

TotalTetraplegia

  • Complete

  • Incomplete

Total
6 (29%)
7 (33%)
13(62%)
6 (29%)
2 (9%)
8 (38%)
17(40%)
10 (24%)
27(64%)
7 (17%)
8 (19%)
15 (36%)
23 (36%)
17 (27%)
40 (63%)
13 (21%)
10 (16%)
23 (37%)		 χ²=2.776, df =3, P =0.428