| Literature DB >> 29983627 |
Rodrigo Tadashi Martines1, Washington Gomes DE Araujo1, Cintia Leci Rodrigues1, Jane DE Eston Armond1.
Abstract
OBJECTIVE: Globally, more than 1.2 million people die from traffic accidents each year. In order to reduce the rate of traffic accidents and their subsequent social consequences in Sao Paulo, Brazil, the aim of this study was to characterize pedestrian victims of traffic accidents and occurrences.Entities:
Keywords: Accidents, traffic; Automobile driving; Cross-sectional studies.; Multiple trauma; Pedestrians; Wounds and injuries
Year: 2018 PMID: 29983627 PMCID: PMC6032611 DOI: 10.1590/1413-785220182602185837
Source DB: PubMed Journal: Acta Ortop Bras ISSN: 1413-7852 Impact factor: 0.513
Distribution of pedestrian victims of traffic accident. according to age, gender, alcohol and drug use in São Paulo, 2016.
| Age (years) | Female N (%) | Male N (%) | Alcohol (+) N (%) | Alcohol (-) N (%) | Alcohol ignored N (%) | Drugs (+) N (%) | Drugs (-) N (%) | Drugs ignored N (%) | Total N (%) |
|---|---|---|---|---|---|---|---|---|---|
| 0 a 4 | 71 (2.6) | 136 (5.0) | 0 (0) | 60 (2.2) | 147 (5.4) | 0 (0.0) | 58 (2.1) | 149 (5.5) | 207 (7.6) |
| 5 a 9 | 77 (2.8) | 178 (6.5) | 0 (0) | 88 (3.2) | 167 (6.1) | 0 (0.0) | 88 (3.2) | 167 (6.1) | 255 (9.4) |
| 10 a 14 | 71 (2.6) | 135 (5.0) | 1 (0.0) | 64 (2.4) | 141 (5.2) | 1 (0.0) | 64 (2.4) | 141 (5.2) | 206 (7.6) |
| 15 a 19 | 137 (5.0) | 199 (7.3) | 4 (0.1) | 100 (3.7) | 232 (8.5) | 2 (0.1) | 102 (3.7) | 232 (8.5) | 336 (12.3) |
| 20 a 24 | 98 (3.6) | 202 (7.4) | 10 (0.4) | 103 (3.8) | 187 (6.9) | 7 (0.3) | 103 (3.8) | 190 (7.0) | 300 (11.0) |
| 25 a 29 | 60 (2.2) | 126 (4.6) | 5 (0.2) | 59 (2.2) | 122 (4.5) | 1 (0.0) | 60 (2.2) | 125 (4.6) | 186 (6.8) |
| 30 a 34 | 57 (2.1) | 113 (4.1) | 6 (0.2) | 65 (2.4) | 99 (3.6) | 3 (0.0) | 65 (2.4) | 102 (3.7) | 170 (6.2) |
| 35 a 39 | 56 (2.1) | 113 (4.1) | 7 (0.3) | 63 (2.3) | 99 (3.6) | 0 (0.0) | 69 (2.5) | 100 (3.7) | 169 (6.2) |
| 40 a 44 | 46 (1.7) | 93 (3.4) | 7 (0.3) | 49 (1.8) | 83 (3.0) | 2 (0.1) | 49 (1.8) | 88 (3.2) | 139 (5.1) |
| 45 a 49 | 54 (2.0) | 86 (3.2) | 3 (0.1) | 43 (1.6) | 94 (3.5) | 0 (0.0) | 44 (1.6) | 96 (3.5) | 140 (5.1) |
| 50 a 54 | 60 (2.2) | 79 (2.9) | 5 (0.2) | 39 (1.4) | 95 (3.5) | 0 (0.0) | 42 (1.5) | 97 (3.6) | 139 (5.1) |
| 55 a 59 | 57 (2.1) | 68 (2.5) | 6 (0.2) | 54 (2.0) | 65 (2.4) | 1 (0.0) | 57 (2.1) | 67 (2.5) | 125 (4.6) |
| 60 a 64 | 54 (2.0) | 66 (2.4) | 1 (0.0) | 47 (1.7) | 72 (2.6) | 0 (0.0) | 48 (1.8) | 72 (2.6) | 120 (4.4) |
| 65 a 69 | 35 (1.3) | 30 (1.1) | 2 (0.1) | 31 (1.1) | 32 (1.2) | 0 (0.0) | 34 (1.2) | 31 (1.1) | 65 (2.4) |
| 70 a 74 | 38 (1.4) | 28 (1.0) | 2 (0.1) | 23 (0.8) | 41 (1.5) | 0 (0.0) | 23 (0.8) | 43 (1.6) | 66 (2.4) |
| 75 a 79 | 22 (0.8) | 18 (0.7) | 0 (0) | 18 (0.7) | 22 (0.8) | 0 (0.0) | 18 (0.7) | 22 (0.8) | 40 (1.5) |
| 80 a 84 | 15 (0.6) | 24 (0.9) | 0 (0) | 11 (0.4) | 28 (1.0) | 0 (0.0) | 11 (0.4) | 28 (1.0) | 39 (1.4) |
| 85 a 89 | 8 (0.3) | 6 (0.2) | 0 (0) | 6 (0.2) | 8 (0.3) | 0 (0.0) | 6 (0.2) | 8 (0.3) | 14 (0.5) |
| 90 e + | 1 (0.0) | 5 (0.2) | 0 (0) | 1 (0.0) | 5 (0.2) | 0 (0.0) | 1 (0.0) | 5 (0.2) | 6 (0.2) |
| Blank/ Ignored | 0 (0.0) | 1 (0.0) | 0 (0) | 0 (0) | 1 (0.0) | 0 (0.0) | 0 (0.0) | 1 (0.0) | 1 (0.0) |
| Total | 1017 (37.3) | 1706 (62.7) | 59 (2.2) | 924 (33.9) | 1740 (63.9) | 17 (0.6) | 942 (34.6) | 1764 (64.8) | 2723 (100.0) |
Source: Violence and Accident Surveillance Information System (SIVVA) - Health Surveillance Coordination of the Municipal Health Secretary of Sao Paulo (COVISA - SMS) - Health Surveillance Supervisors (SUVIS).
Distribution of traffic accidents with pedestrians by periods and urban areas of occurrences in Sao Paulo, 2016.
| Period / Urban area | Central N (%) | East N (%) | North N (%) | Southeast N (%) | South N (%) | West N (%) | Ignored N (%) | Total N (%) |
|---|---|---|---|---|---|---|---|---|
| Morning 7am - 12:59pm | 3 (0.1) | 16 (0.6) | 4 (0.1) | 13 (0.5) | 19 (0.7) | 12 (0.4) | 116 (4.3) | 183 (6.7) |
| Afternoon 1pm - 6:59pm | 1 (0.0) | 38 (1.4) | 6 (0.2) | 32 (1.2) | 39 (1.4) | 20 (0.7) | 303 (11.1) | 439 (16.1) |
| Evening 7pm - 12:59am | 0 (0.0) | 12 (0.4) | 6 (0.2) | 18 (0.7) | 17 (0.6) | 6 (0.2) | 142 (5.2) | 201 (7.4) |
| Early hours 1am - 6:59am | 0 (0.0) | 9 (0.3) | 3 (0.1) | 15 (0.6) | 12 (0.4) | 4 (0.1) | 119 (4.4) | 162 (5.9) |
| Blank/ Ignored | 1 (0.0) | 27 (1.0) | 2 (0.1) | 25 (0.9) | 29 (1.1) | 4 (0.1) | 1650 (60.6) | 1738 (63.8) |
| Total | 5 (0.2) | 102 (3.7) | 21 (0.8) | 103 (3.8) | 116 (4.3) | 46 (1.7) | 2330 (85.6) | 2723 (100.0) |
Source: Violence and Accident Surveillance Information System (SIVVA) - Health Surveillance Coordination of the Municipal Health Secretary of Sao Paulo (COVISA - SMS) - Health Surveillance Supervisors (SUVIS).
Distribution of types of vehicles involved in traffic accidents with pedestrians in Sao Paulo, 2016.
| Type of vehicle | Notifications N (%) |
|---|---|
| Car | 1286 (47.2) |
| Motorcycle | 630 (23.1) |
| Bicycle | 157 (5.8) |
| Bus/Truck/Other | 151 (5.5) |
| Subway or Train | 7 (0.3) |
| Air Transport | 1 (0.0) |
| Other | 28 (1.0) |
| Blank or Ignored | 463 (17.0) |
| Total | 2723 (100.0) |
Source: Violence and Accident Surveillance Information System (SIVVA) - Health Surveillance Coordination of the Municipal Health Secretary of Sao Paulo (COVISA - SMS) - Health Surveillance Supervisors (SUVIS).
Main diagnosis of trauma in pedestrian victims of traffic accidents in São Paulo, 2016.
| ICD 10 and diagnosis | N (%) | % Anatomical region |
|---|---|---|
| Head and Neck | ||
| S09.9 Unspecified injury of face and head | 148 (5.4) | 20.7 |
| S00.9 Superficial injury of unspecified part of head | 88 (3.2) | |
| S01.8 Open wound of other parts of head | 58 (2.1) | |
| S09.8 Other specified injuries of head | 57 (2.1) | |
| S01.9 Open wound of unspecified part of head | 53 (1.9) | |
| Other ICDs of head and neck | 161 (5.9) | |
|
| ||
| S20.2 Contusion of thorax | 31 (1.1) | 2.4 |
| Other ICDs of thorax region | 35 (1.3) | |
|
| ||
| S30.0 Contusion of lower back and pelvis | 18 (0.7) | 2.4 |
| Other ICDs of abdomen, lower back and pelvis | 47 (1.7) | |
|
| ||
| S40.0 Contusion of shoulder and upper arm | 50 (1.8) | 10.9 |
| Other ICDs of upper limbs | 248 (9.1) | |
|
| ||
| S80.0 Contusion of knee | 104 (3.8) | 28.6 |
| S90.0 Contusion of ankle | 59 (2.2) | |
| Other ICDs of lower limbs | 615 (22.6) | |
|
| ||
| T00.9 Multiple superficial injuries, unspecified | 174 (6.4) | 32.4 |
| T07 Unspecified multiple injuries | 168 (6.2) | |
| T14.9 Unspecified injuries | 154 (5.7) | |
| Other ICDs of unspecified region | 385 (14.1) | |
| Blank | 70 (2.6) | 2.6 |
| Total | 2723 | 100.0 |
Source: Violence and Accident Surveillance Information System (SIVVA) - Health Surveillance Coordination of the Municipal Health Secretary of Sao Paulo (COVISA - SMS) - Health Surveillance Supervisors (SUVIS)
Medical evolution of the victims of traffic accidents in São Paulo in 2016.
| Medical evolution | N (%) |
|---|---|
| Follow up | 22 (0.8) |
| Discharge | 2058 (75.6) |
| Observation | 90 (3.3) |
| Hospitalization | 95 (3.5) |
| Received in death | 4 (0.1) |
| Transferred | 201 (7.4) |
| Death in care | 16 (0.6) |
| Blank or ignored | 237 (8.7) |
| Total | 2723 (100.0) |
Source: Violence and Accident Surveillance Information System (SIVVA) - Health Surveillance Coordination of the Municipal Health Secretary of Sao Paulo (COVISA - SMS) - Health Surveillance Supervisors (SUVIS).