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Table 1 Distribution of injuries according to a set of independent variables

From: Effect of motorcycle helmet types on head injuries: evidence from eight level-I trauma centres in Taiwan

Variable

Total

Injury location

P-value

Head/neck

n(%)

Other body part

n(%)

Helmet type

1. Non-standard helmet

704 (82.92%)

142 (20.17%)

562 (79.83%)

0.030

2. Standard helmet

145 (17.08%)

18 (12.41%)

127 (87.59%)

Age

1. > = 65

84 (9.80%)

21 (25.00%)

63 (75.00%)

0.133

2. otherwise

773 (90.20%)

141 (18.24%)

632 (81.76%)

Gender

1. Male

507 (59.16%)

91 (17.95%)

416 (82.05%)

0.390

2. Female

350 (40.84%)

71 (20.29%)

279 (79.71%)

Occupation

1. Have full time job

483 (60.38%)

84 (17.39%)

399 (82.61%)

0.186

2. Don’t have full time job

317 (39.62%)

67 (21.14%)

250 (78.86%)

Previous medical history

Auditory disease

1. Yes

31 (3.74%)

7 (22.58%)

24 (77.42%)

0.640

2. No

797 (96.26%)

153 (19.20%)

644 (80.80%)

Visual illness

1. Yes

432 (51.25%)

84 (19.44%)

348 (80.56%)

0.724

2. No

411 (48.75%)

76 (18.49%)

335 (81.51%)

Anaemia

1. Yes

69 (8.34%)

21 (30.43%)

48 (69.57%)

0.012

2. No

758 (91.66%)

137 (18.07%)

621 (81.93%)

Hypertension

1. Yes

111 (13.41%)

27 (24.32%)

84 (75.68%)

0.131

2. No

717 (86.59%)

131 (18.27%)

586 (81.73%)

Time of traffic

1. Dawn/night

188 (24.04%)

46 (24.47%)

142 (75.53%)

0.014

2. Daylight

594 (75.96%)

98 (16.50%)

496 (83.50%)

Traffic location

1. Downtown area

654 (94.10%)

120 (18.35%)

534 (81.65%)

0.320

2. Provincial highway

41 (5.90%)

5 (12.20%)

36 (87.80%)

Other protective garments

1. No

134 (15.84%)

24 (17.91%)

110 (82.09%)

0.747

2. Yes

712 (84.16%)

136 (19.10%)

576 (80.90%)

Crash type

1. Multiple vehicle

609 (71.99%)

114 (18.72%)

495 (81.28%)

0.737

2. Single vehicle

237 (28.01%)

42 (17.72%)

195 (82.28%)

Object type

1. Fixed object

30 (3.52%)

9 (30.00%)

21 (70.00%)

0.113

2. Non – fixed object

823 (96.48%)

152 (18.47%)

671 (81.53%)

Medication before riding

1. Yes

35 (4.10%)

9 (25.71%)

26 (74.29%)

0.301

2. No

818 (95.90%)

153 (18.70%)

665 (81.30%)

Drunk riding

1. Yes (BAC level > 0.03%)

20 (2.34%)

9 (45.00%)

11 (55.00%)

0.006

2. No (BAC level < = 0.03%)

833 (97.66%)

153 (18.37%)

680 (81.63%)

Mobile phone use

1. Yes

30 (3.52%)

10 (33.33%)

20 (66.67%)

0.037

2. No

823 (96.48%)

150 (18.23%)

673 (81.77%)