| Literature DB >> 23070338 |
Carla Kalline Alves Cartaxo1, Mariangela da Silva Nunes, Oscar Felipe Falcão Raposo, Ricardo Fakhouri, Edilene Curvelo Hora.
Abstract
OBJECTIVE: To identify the scope and the characteristics of fall-related traumas in urgent care centers in Sergipe, Brazil and to verify potential associations among the following variables: gender, age, and where the event occurred.Entities:
Mesh:
Year: 2012 PMID: 23070338 PMCID: PMC3460014 DOI: 10.6061/clinics/2012(10)03
Source DB: PubMed Journal: Clinics (Sao Paulo) ISSN: 1807-5932 Impact factor: 2.365
The distribution of fall victims according to gender, age, marital status, race/ethnicity, type of impairment, preexisting diseases and use of regular medication. Sergipe, Brazil, 2010.
| Variables | Categories | (n) | (%) |
| Gender | Male | 272 | 53.4 |
| Female | 237 | 46.6 | |
| Age (years) | 0-13 | 169 | 33.9 |
| 13-19 | 53 | 10.6 | |
| 19-60 | 200 | 40.2 | |
| 60 or older | 76 | 15.3 | |
| Marital status | Single | 145 | 42.6 |
| Married/stable union | 136 | 40.0 | |
| Separated/divorced | 18 | 5.3 | |
| Widowed | 41 | 12.1 | |
| Race/ethnicity | Caucasian | 140 | 27.5 |
| Afro-Brazilian | 111 | 21.8 | |
| Mixed | 249 | 48.9 | |
| Indigenous | 04 | 0.8 | |
| Asian | 05 | 1.0 | |
| Has some type of impairment | Yes | 38 | 7.5 |
| No | 471 | 92.5 | |
| Preexisting diseases | Yes | 119 | 23.4 |
| No | 390 | 76.6 | |
| Use of regular medication | Yes | 103 | 20.2 |
| No | 406 | 79.8 | |
| Exercise | Yes | 81 | 15.9 |
| No | 428 | 84.1 | |
Characterization of fall-related traumas. Sergipe, Brazil, 2010.
| Variables | Categories | (n) | (%) |
| Companion | Yes | 428 | 84.1 |
| No | 81 | 15.9 | |
| Transportation means | Ambulances | 138 | 27.1 |
| Private car | 137 | 26.9 | |
| Public transportation | 108 | 21.2 | |
| Mobile emergency care | 44 | 8.6 | |
| Taxi | 31 | 6.1 | |
| Motorcycle | 20 | 3.9 | |
| Other | 28 | 5.5 | |
| Time of fall | Morning | 226 | 44.4 |
| Afternoon | 195 | 38.3 | |
| Night | 88 | 17.3 | |
| Occupational accident | YesNo | 71205 | 25.774.3 |
| Consumption of alcohol/drugs | Yes | 07 | 2.5 |
| No | 269 | 97.5 | |
| Place of the event | Home | 231 | 45.4 |
| Public roads | 98 | 19.3 | |
| Workplace | 53 | 10.4 | |
| School | 41 | 8.1 | |
| Sporting events/leisure activity | 86 | 16.9 | |
| Activity at the time of the fall | Recreation/leisureWalking | 147124 | 28.924.4 |
| Working | 65 | 12.8 | |
| Domestic activities | 36 | 7.1 | |
| Sleeping | 14 | 2.8 | |
| Traveling to work | 11 | 2.2 | |
| Consuming alcohol | 03 | 0.6 | |
| Others | 74 | 14.5 | |
| Type of fall | |||
| Slip | 125 | 24.6 | |
| Trip | 110 | 21.6 | |
| Collision with or pushing by another person | 46 | 9.0 | |
| Caused by a collision with an object | 12 | 2.4 | |
| Missteps | 06 | 1.2 | |
| Others | 26 | 5.1 | |
| Bed/sofa/cradle | 33 | 6.5 | |
| Stair | 42 | 8.3 | |
| Hole | 17 | 3.3 | |
| Furniture | 27 | 5.3 | |
| Tree | 21 | 4.1 | |
| Roof | 06 | 1.2 | |
| Scaffolding | 12 | 2.4 | |
| Others | 26 | 5.1 | |
| Loss of conscience | Yes | 13 | 2.6 |
| No | 496 | 97.4 | |
| Nature of injury | Fracture | 176 | 34.6 |
| Contusion | 139 | 27.3 | |
| Sprain | 112 | 22.0 | |
| Dislocation | 28 | 5.5 | |
| Other types of trauma | 54 | 10.6 | |
| Outcome | Hospital discharge | 457 | 89.8 |
| Hospitalization | 52 | 10.2 | |
Associations between age and gender of fall victims and between place of the event and gender. Sergipe, Brazil, 2010.
| Age group | Gender | ||||
| Male | Female | ||||
| n | % | n | % | ||
| 0-13 | 108 | 40.3 | 61 | 26.5 | |
| 13-19 | 40 | 14.9 | 13 | 15.7 | |
| 19-60 | 101 | 37.7 | 99 | 43.0 | |
| 60 or older | 19 | 7.1 | 57 | 24.8 | |
| TOTAL | <0.0001 | ||||
| Place of fall | |||||
| Home | 96 | 35.3 | 135 | 57.0 | |
| School | 32 | 11.8 | 09 | 3.8 | |
| Sporting events/leisure activity | 55 | 20.2 | 31 | 13.1 | |
| Public roads | 47 | 17.3 | 51 | 21.5 | |
| Workplace | 42 | 15.4 | 11 | 4.6 | |
| TOTAL | <0.0001 | ||||
Chi-square test<0.005.
Associations between place of event and age of victims. Sergipe, Brazil, 2010.
| Place of event | Age | ||||||||
| 0 - 13 | 13 - 19 | 19 - 60 | 60 or older | ||||||
| n | % | n | % | n | % | n | % | ||
| Home | 91 | 53.8 | 15 | 28.3 | 73 | 36.5 | 48 | 63.2 | |
| School | 24 | 14.2 | 11 | 20.8 | 06 | 3.0 | - | - | |
| Sporting event | 25 | 14.8 | 14 | 26.4 | 41 | 20.5 | 03 | 3.9 | |
| Public roads | 23 | 13.6 | 10 | 18.9 | 44 | 22.0 | 18 | 23.7 | |
| Workplace | 06 | 3.6 | 03 | 5.7 | 36 | 18.0 | 07 | 9.2 | |
| 169 | 100.0 | 53 | 100.0 | 200 | 100.0 | 76 | 100.0 | <0.0001 | |
Chi-square test<0.005.
Analysis of variables with respect to their ability to differentiate among victim clusters. Sergipe, Brazil, 2010.
| Variable | Cluster 1 | Cluster 2 | Cluster 3 | Cluster 4 | |||||
| n | 114 | 113 | 133 | 138 | |||||
| n | % | n | % | n | % | n | % | ||
| 0-12 | 39 | 34.2 | 52 | 46.0 | 60 | 45.1 | 18 | 13.0 | |
| 13-18 | 7 | 6.1 | 8 | 7.1 | 27 | 20.3 | 11 | 8.0 | |
| 19-59 | 38 | 33.3 | 35 | 31.0 | 46 | 34.6 | 81 | 58.7 | |
| 60 or older | 30 | 26.3 | 18 | 15.9 | 0 | 0.0 | 28 | 20.3 | |
| M | 46 | 40.4 | 50 | 44.2 | 93 | 69.9 | 79 | 57.2 | |
| F | 68 | 59.6 | 63 | 55.8 | 40 | 30.1 | 59 | 42.8 | |
| Fall from another level | 49 | 43.0 | 47 | 41.6 | 35 | 26.3 | 48 | 34.8 | |
| Same-level fall | 65 | 57.0 | 66 | 58.4 | 98 | 73.7 | 90 | 65.2 | |
| Fracture | 68 | 59.6 | 0 | 0.0 | 82 | 61.7 | 22 | 15.9 | |
| Sprain | 40 | 35.1 | 0 | 0.0 | 31 | 23.3 | 38 | 27.5 | |
| Contusion | 0 | 0.0 | 80 | 70.8 | 7 | 5.3 | 49 | 35.5 | |
| Others | 0 | 0.0 | 32 | 28.3 | 6 | 4.5 | 15 | 10.9 | |
| Home | 114 | 100.0 | 114 | 100.0 | 0 | 0.0 | 0 | 0.0 | |
| School | 0 | 0.0 | 0 | 0.0 | 39 | 29.3 | 2 | 1.4 | |
| Sporting event | 0 | 0.0 | 0 | 0.0 | 58 | 43.6 | 25 | 18.1 | |
| Public roads | 0 | 0.0 | 0 | 0.0 | 32 | 24.1 | 63 | 45.7 | |
| Workplace | 0 | 0.0 | 0 | 0.0 | 4 | 3.0 | 48 | 34.8 | |
Cluster analysis.