| Literature DB >> 34761212 |
E Wepngong1,2, S A Christie2, R Oke3, G Motwani2, W Chendjou1,2, K Azemafac1,2, F M A Nour1,2, D Dickson2, R Dicker3, C Juillard3, A Chichom-Mefire1.
Abstract
BACKGROUND: Morbidity and mortality linked to injury has become an increasingly important public health concern worldwide, especially in developing countries. Despite the potentially severe nature of torso injury, little is known about the population-based epidemiology of torso injury in sub-Saharan Africa.Entities:
Keywords: Cameroon; cost of care; developing countries; global surgery; injury; road traffic injuries; socioeconomic impact; torso injury
Year: 2021 PMID: 34761212 PMCID: PMC8573817 DOI: 10.7196/AJTCCM.2021.v27i3.161
Source DB: PubMed Journal: Afr J Thorac Crit Care Med ISSN: 2617-0191
Comparison of demographic and socioeconomic variables between individuals with torso, non-torso injuries and the rest of the population (N=8 065)*
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| 28.7 (2.4) | 27.3 (1.16) | 23.9(0.3) | 0.09 |
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| 0.04 | |||
| Male | 19 (39.4) | 267 (56.8) | 3 560 (46.1) | |
| Female | 19 (60.6) | 161 (43.2) | 3 969 (53.9) | |
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| 0.87 | |||
| Urban | 8 (34.6) | 122 (39.7) | 2 203 (39.3) | |
| Rural | 31 (65.4) | 305 (60.3) | 5 284 (60.7) | |
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| 29 (68.0) | 292 (63.4) | 4 844 (56.8) | 0.14 |
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| 0.47 | |||
| Own | 23 (52.7) | 256 (57.5) | 4 788 (62.7) | |
| Rent | 12 (36.5) | 120 (33.5) | 1 878 (29.7) | |
| Lives free | 4 (10.8) | 52 (9.0) | 837 (7.6) | |
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| Wood | 35 (88.8) | 396 (89.5) | 6 975 (88.7) | 0.95 |
| Charcoal | 5 (22.8) | 72 (22.4) | 1 201 (22.0) | 0.96 |
| LPG | 17 (48.3) | 198 (54.9) | 3 433 (52.5) | 0.66 |
| Kerosene | 2 (10.9) | 69 (16.7) | 1 215 (19.6) | 0.31 |
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| 0.49 | |||
| None | 0 | 9 (2.1) | 148 (1.2) | |
| Primary | 15 (38.6) | 92 (16.9) | 1 540 (16.9) | |
| Secondary | 16 (37.2) | 151 (34.9) | 2 788 (36.4) | |
| Tertiary | 7 (24.2) | 170 (45.8) | 2 956 (45.2) | |
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| 36 (97.1) | 404 (95.8) | 7 075 (96.5) | 0.67 |
SE = standard error
LPG = liquified petroleum gas
* Variables had missing data, hence the total n differs for each variable. Pearson’s χ² test or adjusted Wald test was used as appropriate. Percentages adjusted for the multi-cluster survey sampling method.
† Unless otherwise specified.
Fig. 1Torso injuries by anatomic distribution.
* The anatomical regions injured were not mutually exclusive as each torso injury may affect more than one anatomic region.
Fig. 2Mechanism of torso and non-torso injuries (n=484).
RTI = road traffic injuri
* Mechanism data only available for 484 of 503 reported injuries
Fig. 3Economic consequences following torso injury v. non-torso injury (n=503).