| Literature DB >> 28441465 |
Artur Tenenbaum1,2, Lena Nordeman3,4, Katharina S Sunnerhagen5, Ronny Gunnarsson2,3,6.
Abstract
OBJECTIVE: The aim was to study gender differences in care-seeking behavior and treatment provided immediately after whiplash trauma.Entities:
Mesh:
Year: 2017 PMID: 28441465 PMCID: PMC5404839 DOI: 10.1371/journal.pone.0176328
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Mode of transport for patients with a whiplash injury caused by a traffic acciddent.
| All patients | Women | Men | |
|---|---|---|---|
| Car | 2405 (86%) | 1300 (46%) | 1105 (39%) |
| Heavy vehicle | 124 (4.4%) | 27 (0.96%) | 97 (3.4%) |
| Other | 135 (4.8%) | 93 (3.3%) | 42 (1.5%) |
| Motorbike | 51 (1.8%) | 2 (0.071%) | 49 (1.7%) |
| Moped/bike/walk | 94 (3.3%) | 46 (1.6%) | 48 (1.7%) |
| Summary | 2809 (100%) | 1468 (52%) | 1341 (48%) |
Care-seeking behavior, treatment given and hospital stay after whiplash trauma (n = 3,368).
| Women | Men | P-value | ||
|---|---|---|---|---|
| 884 (51%) | 769 (47%) | |||
| 3.2 (15)—0 (0–2) | 2.6 (11)—0 (0–1) | |||
| 0.69 | ||||
| Discharged without treatment, [n (%)] | 107 (6.2%) | 111 (6.8%) | ||
| Discharged after treatment, [n (%)] | 1.506 (88%) | 1.423 (86%) | ||
| Admitted to hospital, [n (%)] | 106 (6,2%) | 109 (6,4%) | ||
| 2.70 (1.9) | 2.10 (1.7) | |||
*Significant at the p<0.05 level.
First figure mean values (standard deviation) second figure median (25th-75th percentile).
Chi-square test.
Mann Whitney U-test.
Students T-test.
Diagnostic panorama in patients after a whiplash trauma.
| = = = = = = = = All patients = = = = = = = | = = = All patients Admitted To Hospital = = = | |||||||
|---|---|---|---|---|---|---|---|---|
| Diagnosis | Women+Men | Women | Men | P- value | Women+Men | Women | Men | P- value |
| Only whiplash injury | 2856 (85%) | 1459 (43%) | 1397 (41%) | 0.90 | 94 (44%) | 50 (23%) | 44 (20%) | 0.32 |
| Whiplash injury & other injuries | 512 (15%) | 260 (7,8%) | 252 (7,5%) | 0.90 | 121(56%) | 56 (26%) | 65 (30%) | 0.32 |
| Whiplash injury total | 3368 (100%) | 1719 (51%) | 1649 (49%) | ------ | 215 (100%) | 106 (49%) | 109 (51%) | ------ |
| Contusion injury | 387 (16%) | 202 (6.0%) | 185 (5.5%) | 0.63 | 59 (27%) | 29 (13%) | 30 (14%) | 0.98 |
| Comutio Cerebri | 90 (2,7%) | 44 (1.3%) | 46 (1.4%) | 0.68 | 58 (27%) | 26 (12%) | 32 (15%) | 0.42 |
| Wounds injury | 127 (3.8%) | 56 (1.7%) | 71 (2.1%) | 0.11 | 18 (8.4%) | 9 (4.2%) | 9 (4.2%) | 0.95 |
Predictors for patients delay between trauma and seeking care (n = 3350).
| Spearman Rank Correlation | Multivariate linear regression | |||||
|---|---|---|---|---|---|---|
| number | r | p-value | β | p-value | ||
| Age in decades | 3350 | 0.083 | <0.0001 | |||
| Female gender (n = 1712) | 3350 | 0.058 | 0.00074 | |||
| Work-related trauma (n = 1037) | 3314 | -0.036 | 0.039 | <0 (shorter delay) | 0.097 | |
| Traffic accident (n = 2395) | 3350 | -0.020 | 0.24 | |||
a The patients delay between trauma and seeking care (days) was transformed to ranked normal score of the dependent variable, using Blom’s formula.
b Variables with p <0.05 in Spearman’s rank correlation were entered into the multivariate model.
c The point estimate and confidence intervals for the beta coefficient as such makes no sense since the dependent variable is transformed as a rank. Hence, only it’s direction is indicated.