| Literature DB >> 28856978 |
Haleluya Moshi1,2, Gunnevi Sundelin1, Klas-Göran Sahlen3,4, Ann Sörlin1.
Abstract
BACKGROUND: Causes, magnitude and consequences of traumatic spinal cord injury depend largely on geography, infrastructure, socioeconomic and cultural activities of a given region. There is a scarcity of literature on profile of traumatic spinal cord injury to inform prevention and rehabilitation of this health condition in African rural settings, particularly Tanzania.Entities:
Keywords: Africa; Tanzania; Traumatic spinal cord injury; etiology; rural
Mesh:
Year: 2017 PMID: 28856978 PMCID: PMC5645664 DOI: 10.1080/16549716.2017.1355604
Source DB: PubMed Journal: Glob Health Action ISSN: 1654-9880 Impact factor: 2.640
Figure 1.Distribution of persons with TSCI by age category.
Figure 2.Causes of TSCI by sex (n = 213).
Distribution mortality cases by sex, age group and level of TSCI.
| Alive (%) | Dead (%) | Total (%) | ||
|---|---|---|---|---|
| Male | 133 (80.6) | 39 (81.2) | 172 (80.8) | 0.55 |
| Female | 32 (19.4) | 9 (18.8) | 41 (19.2) | |
| RTA | 59 (35.8) | 14 (29.2) | 73 (34.3) | 0.53 |
| Fall from height | 49 (29.6) | 13 (27) | 62 (29.1) | |
| Other falls | 27 (16.4) | 14 (29.2) | 41 (19.2) | |
| Assaults | 14 (8.5) | 2 (4.2) | 16 (7.5) | |
| Other causes | 16 (9.7) | 5 (10.4) | 21 (9.9) | |
| 0 – 15 | 7 (4.2) | 0 (0.0) | 7 (3.3) | 0.03 |
| 16 – 30 | 58 (35.2) | 13 (27.1) | 71 (33.3) | |
| 31 – 45 | 61 (37.0) | 16 (33.3) | 77 (36.2) | |
| 45 – 60 | 27 (16.4) | 8 (16.7) | 35 (16.4) | |
| 61 – 75 | 7 (4.2) | 8 (16.7) | 15 (7.0) | |
| 76+ | 5 (3.0) | 3 (6.2) | 8 (3.8) | |
| Cervical | 59 (35.8) | 22 (45.8) | 81 (38.0) | 0.33 |
| Thoracic | 38 (23.0) | 8 (16.7) | 46 (21.6) | |
| Lumbar | 58 (35.2) | 13 (27.1) | 71 (33.3) | |
| *SCIWORA | 10 (6.0) | 5 (10.4) | 15 (7.1) | |
*SCIWORA is spinal cord injury without obvious radiological abnormality. In this case the individual has signs and symptoms of SCI but no derangement or injury seen in the radiological imaging.
Figure 3.Condition of patients at discharge from the hospital (n = 213).
Sex and age-specific crude annual incidence of TSCI in the Kilimanjaro region (n = 218).
| Sex | Population size | Incidence rate for 2010 – 2014 (Per 1,000,000 per year) | |
|---|---|---|---|
| Men | 793,140 | 171 (78.4) | 43 |
| Women | 846,947 | 47 (21.6) | 11 |
| Overall | 1,640,087 | 218 (100) | 26 |
| Hai and Siha | 326,846 | 77 (35.3) | 47 |
| Moshi Rural and Rombo | 727,700 | 89 (40.8) | 24 |
| Moshi Municipal | 184,292 | 24 (11) | 26 |
| Same and Mwanga | 401,249 | 28 (12.9) | 13 |
| 0–15 | 660,221 | 5 (2.3) | 1 |
| 16–30 | 402,778 | 61 (28) | 30 |
| 31–45 | 258,745 | 84 (38.5) | 64 |
| 46–60 | 177,287 | 40 (18.3) | 45 |
| 61–75 | 94,048 | 20 (9.2) | 42 |
| 76 + | 47,011 | 8 (3.7) | 34 |
The incidence rate calculation is based on population from Tanzania census (2012) for Kilimanjaro region only (excluding Arusha and other regions). Population is taken at 2012 as the midpoint between 2010 and 2014. Except for Moshi Municipal, the rest are two districts combined as they are close to each other and share similar geographical and socioeconomic characteristics. Kilimanjaro region has six mostly rural districts and a small town – Moshi Municipal council (Figure 4).
Figure 4.Tanzania (on the left) and Kilimanjaro region (on the right).
Source: http://www.tpsftz.org/zoom.php?region=13&txt=Kilimanjaro and http://geography.about.com/library/cia/blctanzania.ht