| Literature DB >> 27642454 |
Asonganyi Edwin Nyagwui1, Namatovu Fredinah1, Longho Bernard Che1, Blomstedt Yulia1.
Abstract
INTRODUCTION: Injury from motorcycle is a considerable cause of disability and death in the world and especially in low and middle-income countries; it is one of the most serious public health problems. In Cameroon, motorcycle is commonly used for transportation particularly among students. The aim of this paper is to study the risk-factors of the motorcycle-related accidents and injuries among secondary school students' in the Tiko municipality, Cameroon.Entities:
Keywords: Awareness; accident; injury; practice; safety; students
Mesh:
Year: 2016 PMID: 27642454 PMCID: PMC5012804 DOI: 10.11604/pamj.2016.24.116.5069
Source DB: PubMed Journal: Pan Afr Med J
Socio-demographic characteristics of students by sex (n=391)
| Variables | Total (N=391) | Sex | P-Value | |
|---|---|---|---|---|
| Male (n=202) | Female (n=189) | |||
| N (%) | n (%) | n (%) | ||
|
| ||||
| 16-18 | 134 (34.3) | 69 (34.2) | 65 (34.4) | 0.259 |
| 19-21 | 189 (48.3) | 92 (45.5) | 97 (51.3) | |
| 22-24 | 68 (17.4) | 41 (20.3) | 27 (14.3) | |
|
| ||||
| Advanced Level | 22 (5.6) | 7 (3.5) | 15 (8.0) | 0.000 |
| Ordinary Level | 351 (89.8) | 178 (88.1) | 173 (91.5) | |
| First School Leaving Certificate | 18 (4.6) | 17 (8.4) | 1 (0.5) | |
|
| ||||
| Tiko | 227 (58.1) | 107 (52.9) | 120 (63.5) | 0.161 |
| Likomba | 81 (20.7) | 49 (24.3) | 32 (16.9) | |
| Tiko-Douala Road | 31 (7.9) | 16 (7.9) | 15 (8.0) | |
| Mutengene | 52 (13.3) | 30 (14.9) | 22 (11.6) | |
|
| ||||
| Always | 121 (30.9) | 60 (29.7) | 61 (32.3) | 0.153 |
| Often | 168 (43.0) | 97 (48.0) | 71 (37.6) | |
| Seldom | 64 (16.4) | 27 (13.4) | 37 (19.6) | |
| Never | 38(9.7) | 18 (8.9) | 20 (10.6) | |
Usage of motorcycle (n=353)
| Variables | Total (N=353) | Sex | P-value | |
|---|---|---|---|---|
| Male (n=184) | Female (n=169) | |||
| N(%) | n(%) | n(%) | ||
| No | 324 (91.8) | 159(86.4) | 165(97.6) | 0.000 |
| Yes | 29(8.2) | 25(13.6) | 4(2.4) | |
| Formal training | 13(44.8) | 13(52.0) | 0(0.0) | 0.037 |
| Informal training | 12(41.4) | 8(32.0) | 4(100.0) | |
| No training at all | 4(13.8) | 4(16.0) | 0(0.0) | |
| Missing values | 324(-) | 159(-) | 165(-) | |
| Yes | 81(22.9) | 72(39.1) | 9(5.3) | 0.000 |
| No | 272(77.1) | 112(60.9) | 160(94.7) | |
| Always | 47(13.3) | 31(16.9) | 16(9.5) | 0.001 |
| Occasionally | 56(15.9) | 39(21.2) | 17(10.1) | |
| Never | 250(70.8) | 114(61.9) | 136(80.4) | |
| Always | 40(11.3) | 27(14.7) | 13(7.7) | 0.054 |
| Occasionally | 113(32.0) | 62(33.7) | 51(30.2) | |
| Never | 200(56.7) | 95(51.6) | 105(62.1) | |
| Always | 55(15.6) | 35(19.0) | 20(11.8) | 0.052 |
| Occasionally | 80(22.6) | 46(25.0) | 34(20.1) | |
| Never | 218(61.8) | 103(56.0) | 115(68.1) | |
| Always | 45(12.8) | 31(16.9) | 14(8.3) | 0.001 |
| Occasionally | 77(21.8) | 49(26.6) | 28(16.6) | |
| Never | 231(65.4) | 104(56.5) | 127(75.1) | |
| Always | 63(17.9) | 41(22.3) | 22(13.0) | 0.050 |
| Occasionally | 100(28.3) | 53(28.8) | 47(27.8) | |
| Never | 190(53.8) | 90(48.9) | 100(59.2) | |
| Always | 11(3.1) | 8(4.3) | 3(1.8) | 0.369 |
| Occasionally | 47(13.3) | 25(13.6) | 22(13.0) | |
| Never | 295(83.6) | 151(82.1) | 144(85.2) | |
The frequency of accidents and injuries (n=353)
| Variables | Total (N=353) | Sex | P-value | |
|---|---|---|---|---|
| Male (n=184) | Female (n=169) | |||
| N(%) | n(%) | n(%) | ||
| No | 147(41.6) | 74(40.2) | 73(43.2) | 0.571 |
| Yes | 206(58.4) | 110(59.8) | 96(56.8) | |
| 1-2 times | 169(47.9) | 86(46.7) | 83(49.1) | 0.358 |
| 3-4 time | 32(9.1) | 20(10.9) | 12(7.1) | |
| > 5 times | 5(1.4) | 4(2.2) | 1(0.6) | |
| Never | 147(41.6) | 74(40.2) | 73(43.2) | |
| No | 229(64.9) | 111(60.3) | 118(69.8) | 0.062 |
| Yes | 124(35.1) | 73(39.7) | 51(30.2) | |
| Total (N=124) | n(%) | n(%) | ||
|
| 27(21.8) | 25(34.2) | 2(3.9) | 0.000 |
| 97(78.2) | 48(65.8) | 49(96.1) | ||
| 18(14.5) | 16(21.9) | 2(3.9) | 0.005 | |
| 106(85.5) | 57(78.1) | 49(96.1) | ||
Associationbetween accidents, injuries and motorcyclists’ background, and motorcycle usage among the students of Tiko Municipality (Odd Ratios (OR) with 95% CI)
| Accident | Injury | |||
|---|---|---|---|---|
| Uni-variate analysis | Multi-variate analysis | Uni-variate analysis | Multi-variate analysis | |
| Variables | OR (95%CI) | OR (95%CI) | OR (95%CI) | OR (95%CI) |
| Male | 1 (Reference) | 1 (Reference) | 1 (Reference) | 1 (Reference) |
| Female | 0.88 (0.58-1.35) | 1.20(0.72-2.01) | 0.66 (0.42-1.02) | 0.96 (0.56-1.65) |
| 16-18 | 1 (Reference) | 1 (Reference) | 1 (Reference) | 1 (Reference) |
| 19-21 | 0.86 (0.54-1.38) | 0.72 (0.43-1.20) | 0.92 (0.56-1.49) | 0.80 (0.47-1.36) |
| 22-24 | 1.15 (0.61-2.17) | 0.96 (0.48-1.90) | 1.15 (0.61-2.16) | 0.90 (0.45-1.81) |
| Tiko | 1 (Reference) | 1 (Reference) | 1 (Reference) | 1 (Reference) |
| Likomba | 0.94 (0.55-1.61) | 0.80 (0.45-1.42) | 0.96 (0.55-1.70) | 0.79 (0.43-1.46) |
| Tiko-Douala Road | 3.04(1.19-7.78) | 3.19 (1.20-8.46) | 2.73 (1.24-6.04) | 2.52 (1.10-5.78) |
| Mutengene | 1.39 (0.71-2.72) | 1.30 (0.63-2.68) | 0.72 (0.35-1.49) | 0.62 (0.28-1.36) |
| Yes | 1 (Reference) | 1 (Reference) | 1 (Reference) | 1 (Reference) |
| No | 0.37 (0.21-0.65) | 0.31 (0.16-0.60) | 0.33 (0.20-0.55) | 0.33 (0.18-0.61) |
| Yes | 1 (Reference) | 1 (Reference) | 1 (Reference) | 1 (Reference) |
| No | 1.50 (0.98-2.30) | 1.42 (0.90-2.23) | 1.33 (0.85-2.06) | 1.30 (0.81-2.08) |
| Always | 1 (Reference) | 1 (Reference) | 1 (Reference) | 1 (Reference) |
| Occasionally | 1.14 (0.55-2.35) | 1.17 (0.54-2.53) | 0.92 (0.44-1.93) | 0.89 (0.40-1.96) |
| Never | 1.42 (0.72-2.80) | 1.65 (0.79-3.45) | 0.72 (0.36-1.45) | 0.79 (0.37-1.67) |
| Never | 1 (Reference) | 1 (Reference) | 1 (Reference) | 1 (Reference) |
| Occasionally | 1.44 (0.86-2.42) | 1.69 (0.97-2.95) | 1.19 (0.71-2.00) | 1.34 (0.76-2.34) |
| Always | 1.34 (0.67-2.67) | 1.39 (0.65-2.99) | 1.04 (0.52-2.11) | 1.30 (0.59-2.86) |
| Never | 1 (Reference) | 1 (Reference) | 1 (Reference) | 1 (Reference) |
| Occasionally | 1.81 (0.93-3.52) | 1.62 (0.79-3.34) | 1.90 (1.02-3.53) | 1.69 (0.86-3.35) |
| Always | 0.92 (0.27-3.08) | 1.26 (0.35-4.52) | 0.44 (0.93-2.08) | 0.60 (0.12-2.98) |
This is adjusted for all other variables: sex, age, residence, do you drive, wear protective clothing/helmet/boots, wear reflective clothing, drive while feeling tired, drive while under the influence of alcohol/drugs.