| Literature DB >> 28688797 |
Yaser Sarikhani1, Seyed Taghi Heydari2, Saeed Gholamzadeh3, Maryam Mazloom3, Payam Peymani4, Kamran Bagheri Lankarani4, Ahmad Kalateh Sadati5, Reza Tabrizi4, Maryam Akbari4.
Abstract
PURPOSE: Traffic injuries are among the leading causes of mortality and morbidity worldwide. Pedestrians have been considered as a high-risk group among road users, especially in middle- or low-income communities. This study attempted to determine the burden of pedestrians' fatalities in Fars, the southern province of Iran using years of life lost (YLL) approach.Entities:
Keywords: Accidents, traffic; Burden of disease; Pedestrians; Years of potential life lost
Mesh:
Year: 2017 PMID: 28688797 PMCID: PMC5831233 DOI: 10.1016/j.cjtee.2017.03.007
Source DB: PubMed Journal: Chin J Traumatol ISSN: 1008-1275
Years of life lost (YLL) due to traffic accident fatalities among pedestrians in Fars province of Iran from 2009 to 2013.
| Year | Male | Female | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Total population | Total deaths | Deaths per 1000 | Total YLL | YLL per 1000 | Total population | Total deaths | Deaths per 1000 | Total YLL | YLL per 1000 | |
| 2009 | 2,203,220 | 295 | 0.13 | 5610 | 2.5 | 2,182,378 | 101 | 0.04 | 2066 | 0.9 |
| 2010 | 2,229,003 | 227 | 0.10 | 4155 | 1.9 | 2,207,920 | 113 | 0.05 | 2320 | 1,1 |
| 2011 | 2,249,105 | 201 | 0.09 | 3859 | 1.7 | 2,234,009 | 94 | 0.04 | 1805 | 0.8 |
| 2012 | 2,278,571 | 213 | 0.09 | 3969 | 1.7 | 2,260,153 | 211 | 0.09 | 4181 | 1.8 |
| 2013 | 2,305,237 | 243 | 0.11 | 4481 | 1.9 | 2,286,604 | 243 | 0.10 | 4731 | 2.1 |
Years of life lost (YLL) due to traffic accidents fatalities among pedestrians in Fars province of Iran from 2009 to 2013 in terms of age and gender groups.
| Year | Male | Female | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0–4 | 4–14 | 15–29 | 30–44 | 45–59 | 60–69 | 70+ | 0–4 | 4–14 | 15–29 | 30–44 | 45–59 | 60–69 | 70+ | |
| 2009 | 451 | 676 | 1558 | 817 | 983 | 419 | 706 | 212 | 567 | 248 | 150 | 460 | 168 | 260 |
| 2010 | 361 | 617 | 875 | 500 | 865 | 313 | 624 | 273 | 448 | 361 | 273 | 453 | 264 | 237 |
| 2011 | 572 | 620 | 629 | 733 | 553 | 256 | 496 | 121 | 298 | 224 | 147 | 544 | 218 | 253 |
| 2012 | 361 | 323 | 1060 | 606 | 899 | 237 | 483 | 364 | 326 | 1078 | 625 | 959 | 267 | 561 |
| 2013 | 331 | 734 | 711 | 709 | 1035 | 360 | 603 | 334 | 741 | 723 | 730 | 1101 | 402 | 700 |
Evaluation of traffic accident mortality with respect to mean age and year.
| Year | Pedestrians | Non-Pedestrians | |||
|---|---|---|---|---|---|
| Number | Mean (SD) | Number | Mean (SD) | ||
| 2009 | 396 | 46.47 (25.95) | 1426 | 33.62 (16.48) | 0.000 |
| 2010 | 340 | 47.94 (26.61) | 1518 | 34.94 (17.67) | 0.000 |
| 2011 | 295 | 47.45 (26.97) | 1407 | 35.23 (18.51) | 0.000 |
| 2012 | 293 | 48.41 (25.44) | 1260 | 35.35 (18.48) | 0.000 |
| 2013 | 323 | 49.74 (25.59) | 1357 | 35.11 (17.54) | 0.000 |
Evaluation of traffic accident mortality with respect to sociodemographic and accident-related data.
| Parameter | Pedestrians ( | Non-pedestrians ( | |
|---|---|---|---|
| Gender | |||
| Male | 1179, 17.2 | 5677, 82.8 | 0.000 |
| Female | 472, 25.8 | 1359, 74.2 | |
| Education | |||
| Illiterate | 737, 36.2 | 1301, 63.8 | 0.000 |
| Basic education | 791, 13.9 | 4909, 86.1 | |
| Collage education | 90, 12.4 | 633, 87.6 | |
| Marital status | |||
| Single | 430, 15.2 | 2393, 84.8 | 0.000 |
| Married | 936, 21.0 | 3511, 79.0 | |
| Divorced/widow | 14, 17.5 | 66, 82.5 | |
| Accident location | |||
| Inside cities | 963, 39.2 | 1496, 60.8 | 0.000 |
| Roads | 514, 9.7 | 4805, 90.3 | |
| Inside villages | 139, 18.8 | 602, 81.2 | |
| Place of death | |||
| Accident scene | 623, 13.3 | 4073, 86.7 | 0.000 |
| Ambulance | 123, 19.2 | 518, 80.8 | |
| Hospital | 837, 26.5 | 2320, 73.5 | |
| Home | 60, 43.8 | 77, 56.2 | |
| Accident time | |||
| Day | 834, 19.4 | 3460, 80.6 | 0.000 |
| Night | 329, 15.7 | 1766, 84.3 | |
| Sunset/sunrise | 197, 22.4 | 681, 77.6 | |