Journal List > J Korean Neurotraumatol Soc > v.4(1) > 1084023

Jang, Jwa, Yi, Jeon, and Kim: Factors Associated with Post-Concussion Syndrome after Mild Head Injury

Abstract

Objective

We investigated independent predictors of post-concussion syndrome after mild head injury.

Methods

From January 2001 to December 2007, 66 consecutive patients were diagnosed as post-concussion syndrome among 331 patients with mild head injury admitted to our neurosurgical department. We reviewed retrospectively the medical records and analyzed baseline and socioeconomic data including age, sex, current smoking, alcohol consumption, level of education, employment status, marital status and types of injury. Using multivariate analysis, we evaluated possible factors associated with post-concussion syndrome after mild head injury.

Results

The incidence of post-concussion syndrome after mild head injury was 19.9%. Patient's unemployed state was significantly higher among patients with post-concussion syndrome than in the control group (39.4% versus 23.4%, respectively, p=0.008) and the victims of traffic accident were more frequent among patients with post-concussion syndrome than in the control group (81.8% versus 55.1%, respectively, p<0.001). Multivariate analysis showed that unemployed state (odds ratio [OR] 2.32, 95% confidence interval [CI] 1.24-4.32, p=0.008), divorced state (OR 2.06, 95% CI 1.06-4.00, p=0.034) and the victims of traffic accident (OR 4.87, 95% CI 2.09-11.34, p<0.001) are independently associated with post-concussion syndrome after mild head injury.

Conclusion

Our result indicated that the victims of traffic accident, unemployed state and divorced state may be independent predictors of post-concussion syndrome after mild head injury.

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Table 1.
Baseline characteristics of 66 consecutive patients with post-concussion syndrome after mild head injury
Variables Total (n=331) Presence of PCS
p-value
Yes (n=66) No (n=265)
Age (SD), years 42.4 (14.9) 44.8 (12.6) 41.9 (15.4) 0.153
Women (%) 171 (52.0) 41 (62.1) 131 (49.4) 0.065
Current smoking (%) 142 (42.9) 32 (48.5) 110 (41.5) 0.306
Alcohol consumption (%) 80 (24.2) 15 (22.7) 65 (24.5) 0.760
Level of education (SD), years 10.6 (4.4) 10.4 (3.2) 10.6 (4.6) 0.646
Unemployed state (%) 88 (26.6) 26 (39.4) 62 (23.4) 0.008
Marital status 0.069
 Married (%) 195 (58.9) 37 (56.1) 158 (59.6)
 Divorced (%) 74 (22.4) 21 (31.8) 53 (20.0)
 Single or others (%) 62 (18.7) 8 (12.1) 54 (20.4)
Type of injury <0.001
 Traffic accident (victim) (%) 200 (60.4) 54 (81.8) 146 (55.1)
 Traffic accident (Wrongdoer) (%) 92 (27.8) 7 (10.6) 85 (32.1)
 Slip down or fall down (%) 39 (11.8) 5 (7.6) 34 (12.8)
Chief symptoms
 Loss of consciousness or amnesia (%) 182 (55.0) 38 (57.6) 144 (54.3) 0.636
 Feeling of dizziness (%) 200 (60.4) 43 (65.2) 157 (59.2) 0.380
 Headache (%) 241 (72.8) 44 (66.7) 197 (74.3) 0.377
 Vomiting (%) 46 (13.9) 9 (13.6) 37 (14.0) 0.945

PCS: post-concussion syndrome, SD: standard deviation

Table 2.
Symptoms of 66 patients with post-concussion syndrome after mild head injury
Frequency of PCS (n=66)
Headache 44 (66.7%)
Feeling of dizziness 43 (65.2%)
Fatigue 38 (57.5%)
Poor concentration 34 (51.5%)
Anxiety 20 (30.3%)
Depression 9 (13.6%)
Irritability 5 (7.6%)
Reduced sleep 5 (7.6%)
Sensitivity to light or noise 3 (4.5%)
Blurred vision 1 (1.5%)

PCS: post-concussion syndrome

Table 3.
Multivariate logistic regression analysis
Variables Odds ratio (95% CI)* p-value
Women 1.39 (0.77-2.52) 0.281
Unemployed state 2.32 (1.24-4.32) 0.008
Marital status
 Married 1
 Divorced 2.06 (1.06-4.00) 0.034
 Single or others 0.80 (0.34-1.88) 0.603
Type of injury
 Traffic accident (victim) 4.87 (2.09-11.34) <0.001
 Slip down or fall down 1.96 (0.57-6.75) 0.285
 Traffic accident (Wrongdoer) 1

* crude odds ratio was obtained using binary logistic regression analysis (enter method)

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