| Literature DB >> 16533384 |
Wasim Maziak1, Kenneth D Ward, Samer Rastam.
Abstract
BACKGROUND: Despite the growing burden of injuries worldwide, Syria and many other Arab countries still lack population-based estimates of different types of injuries. This study aims to provide first population-based estimates of major injuries in Syria and characterize groups at increased risk.Entities:
Mesh:
Year: 2006 PMID: 16533384 PMCID: PMC1459131 DOI: 10.1186/1471-2458-6-63
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Prevalence and characteristics of past year proxy-reported injuries among household members (all ages) of study participants (n = 11186)
| Children (<18 years) n = 6494 | Adults (>18 years) n = 4692 | Overall | |
| 142 (22.0) | 94 (19.7) | 236 (21) | |
| Gender | |||
| Male | 94 (29) | 64 (26) | 158 (28) |
| Female | 48 (15)** | 30 (13)** | 78 (14)** |
| SES | |||
| Lower tertile | 61 (25) | 38 (24) | 99 (25) |
| Middle tertile | 53 (23) | 31 (18) | 84 (20) |
| Higher tertile | 28 (17) | 25 (18) | 53 (17) |
| Home | 74 (52.1) | 35 (37.2) | 109 (46.2) |
| Outside | 68 (47.9) | 59 (62.8)** | 127 (53.8) |
| Traffic | |||
| Outcome (non-weighted % of total) | 47 (6.9) | 37 (7.7) | 84 (7.3) |
| Recovery | 40 (85.1) | 31 (83.8) | 71 (84.5) |
| Disability (temporary) | 3 (6.4) | 5 (13.5) | 8 (9.5) |
| Disability (prolonged) | 3 (6.4) | 1 (2.7) | 4 (4.8) |
| Death | 1 (2.1) | 0 (0) | 1 (1.2) |
| Fall | |||
| Outcome (non-weighted % of total) | 31 (5.0) | 13 (3.0) | 44 (4.2) |
| Recovery | 24 (77.4) | 8 (61.5) | 32 (72.7) |
| Disability (temporary) | 6 (19.4) | 4 (30.8) | 10 (22.7) |
| Disability (prolonged) | 1 (3.2) | 1 (7.7) | 2 (4.5) |
| Death | 0 (0) | 0 (0) | 0 (0) |
| Poisoning (food) | |||
| Outcome (non-weighted % of total) | 50 (8.0) | 32 (6.6) | 82 (7.4) |
| Recovery | 50 (100) | 32 (100) | 82 (100) |
| Disability (temporary) | 0 (0) | 0 (0) | 0 (0) |
| Disability (prolonged) | 0 (0) | 0 (0) | 0 (0) |
| Death | 0 (0) | 0 (0) | 0 (0) |
| Sharp tool, burn, drowning, electric and others | |||
| Outcome (non-weighted % of total) | 14 (2.0) | 12 (2.3) | 26 (2.2) |
| Recovery | 7 (50.0) | 8 (66.7) | 15 (57.7) |
| Disability (temporary) | 1 (7.1) | 1 (8.3) | 2 (7.7) |
| Disability (prolonged) | 6 (42.9) | 3 (25.0) | 9 (34.6) |
| Death | 0 (0) | 0 | 0 (0) |
*All prevalence estimates are calculated from the weighted sample as described in the analysis section.
**p ≤ 0.05 according to Ch2 analysis for the relation between injuries and socio-demographic variables (columns)
Prevalence and characteristics of past year self-reported injuries among respondents (18–65 years) in Aleppo-Syria (n = 2038)
| 82 (93.1) | 71 (64.4)** | 153 (77.3) | |
| Age | |||
| 18–29 years | 31 (101) | 28 (65) | 59 (80) |
| 30–45 years | 40 (118) | 33 (73) | 73 (93) |
| 46–65 years | 11 (53)† | 10 (47) | 21 (50)† |
| Education | |||
| Illiterate | 9 (55) | 13 (32) | 22 (39) |
| ≤ 9 years | 52 (103) | 43 (77) | 95 (90) |
| > 9 years | 21 (90) | 15 (73) | 36 (81) |
| SES | |||
| Lower tertile | 18 (102) | 37 (53) | 55 (63) |
| Middle tertile | 38 (101) | 22 (77) | 60 (89) |
| Higher tertile | 26 (83) | 12 (70) | 38 (78) |
| Home | 22 (26.8) | 37 (52.1) | 59 (38.6) |
| Outside | 60 (73.2)† | 34 (47.9) | 94 (61.4)† |
| Traffic | |||
| Outcome (non-weighted % of total) | 27 (30.6) | 18 (19.2)** | 45 (24.3) |
| Recovery | 24 (88.9) | 18 (100) | 42 (93.3) |
| Disability (temporary) | 2 (7.4) | 0 (0) | 2 (4.4) |
| Disability (prolonged) | 1 (3.7) | 0 (0) | 1 (2.2) |
| Fall | |||
| Outcome (non-weighted % of total) | 20 (24.2) | 22 (20.2) | 42 (22.0) |
| Recovery | 15 (75) | 18 (81.8) | 33 (78.6) |
| Disability (temporary) | 3 (15) | 3 (13.6) | 6 (14.3) |
| Disability (prolonged) | 2 (10) | 1 (4.5) | 3 (7.1) |
| Poisoning (food) | |||
| Outcome (non-weighted % of total) | 26 (28.2) | 30 (24.2) | 56 (26.0) |
| Recovery | 26 (100) | 30 (100) | 56 (100) |
| Disability (temporary) | 0 (0) | 0 (0) | 0 (0) |
| Disability (prolonged) | 0 (0) | 0 (0) | 0 (0) |
| Fire arm, sharp tool, burn, electric and others | |||
| Outcome (non-weighted % of total) | 9 (10.2) | 1 (0.7)** | 10 (5.0) |
| Recovery | 6 (66.7) | 0 (0) | 6 (60) |
| Disability (temporary) | 1 (11.1) | 0 (0) | 1 (10) |
| Disability (prolonged) | 2 (22.2) | 1 (100) | 3 (30) |
*All prevalence estimates are calculated from the weighted sample as described in the analysis section. **p ≤ 0.05 according to Ch2 analysis for the relation between injuries and gender (rows) †p ≤ 0.05 according to Ch2 analysis for the relation between injuries and socio-demographic variables (columns)
Factors related to injuries in respondents (n= 2038) according to logistic regression analyses
| OR (95% CI)* | |||
| All injuries | |||
| Gender | Female | ref | |
| Male | 1.4 (1.05–1.96) | 0.026 | |
| Age | 18–29 years | ref | |
| 30–45 years | 1.08 (0.7–1.6) | ||
| 46–65 years | 0.62 (0.4–0.95) | 0.08 | |
| Traffic | |||
| Gender | Female | ref | |
| Male | 1.7 (0.9–3.1) | 0.08 | |
* In each logistic regression model, age, gender, and SES score were entered as independent variables (car ownership was added to the model for traffic injuries)
Figure 1legend: Proportion of different types of injuries and overall injuries by gender among household members (a. children) and (b. adults).