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Mental health of frequent hit-and-run driver and related analysis of life events and personality / 中华行为医学与脑科学杂志
Article in Zh | WPRIM | ID: wpr-389984
Responsible library: WPRO
ABSTRACT
Objective To investigate the mental health of the frequent hit-and-run driver,and to explore its relationship with their life events and personality.Methods Stratified cluster sampling method was used to draw 870 motor vehicle drivers,and chose the 620 met the study conditions.They were investigated by the demographic questionnaire,life event scale,symptom check list-90(SCL-90)and eysenck personality questionnaire (EPQ).Results (1)The SCL-90 total score and the factor scores of the accident group were significantly higher than the non-accident group(respectively,65.17±39.68 vs 18.65±13.85,9.24±5.44 vs 3.48±2.84,6.96±4.81 vs 1.83±2.11,10.19±7.19 vs 2.53±2.74,7.00±4.96 vs 1.48±1.77,4.68±3.66 vs 1.24±1.48,3.51±3.58 vs 0.62±1.29,3.84±3.36 vs 1.00±1.33,5.34±4.17 vs 1.27±1.72,8.93±6.54 vs 2.96±2.97,6.08±4.81 vs 2.11±2.18),the differences were significant(P<0.01).(2)The related analysis showed there existed the statistically positive relation between the total scores of SCL-90 and the factors of the life event scale and EPQ expect for the sense of concealing factor(r=0.146~0.393,P<0.05).(3)Analysis of regression showed the factors of life event and personality had different influences on total scores and factor scores of SCL-90,and negative life events were the most important predictor of SCL-90 total score of frequent hit-and-run driver.Conclusion There are many mental problems among the frequent hit-and-run drivers.Life events,mood and psychoticism factors of personality are important influencing factor to their mental health.
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Full text: 1 Index: WPRIM Type of study: Prognostic_studies Language: Zh Journal: Chinese Journal of Behavioral Medicine and Brain Science Year: 2010 Type: Article
Full text: 1 Index: WPRIM Type of study: Prognostic_studies Language: Zh Journal: Chinese Journal of Behavioral Medicine and Brain Science Year: 2010 Type: Article