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Chinese Journal of Industrial Hygiene and Occupational Diseases ; (12): 201-204, 2012.
Article in Chinese | WPRIM | ID: wpr-273524

ABSTRACT

<p><b>OBJECTIVE</b>To study the influential factors on psychosocial health of the migrant workers in Guangzhou.</p><p><b>METHODS</b>The Symptom Checklist 90 (SCL-90) and Eysenck Personality Questionnaire (EPQ) were used to investigate 518 migrant workers in Guangzhou.</p><p><b>RESULTS</b>The rate of migrant workers with psychosocial problems was 36.5%. The scores of SCL-90 and positive rates in migrant workers with the different personality types had significant difference (P < 0.01). The results of binary logistic regression analysis indicated that the working years, drinking, sex, P scores, E scores and N scores of EPQ were main predictors of the poor physical fitness status. The vocations, working years, P scores and N scores of EPQ were strong predictors of the somatization. he vocations, P scores and N scores of EPQ were strong predictors of the obsessive compulsive symptom. The smoking, P scores and N scores of EPQ were strong predictors of the interpersonal sensitivity. The working years, P scores of EPQ were strong predictors of the depression. P scores of EPQ was strong predictors of the anxiety. P scores, E scores and N scores of EPQ were strong predictors of the hostility. The working years, smoking, P scores, E scores and N scores of EPQ were strong predictors of the phobic anxiety. The working years, P scores of EPQ were strong predictors of the paranoid ideation. The working years, P scores and N scores of EPQ were strong predictors of the psychosis.</p><p><b>CONCLUSION</b>The level of mental health of the migrant workers was significantly associated with the personality. The results of present study indicated that different vocation, sex, working years, smoking and drinking might interfere with the psychological states. The migrant workers with the personality of psychoticism, neuroticism and introversion may have unhealthy mental reaction.</p>


Subject(s)
Adolescent , Adult , Female , Humans , Male , Middle Aged , Young Adult , Anxiety , Epidemiology , China , Epidemiology , Depression , Epidemiology , Factor Analysis, Statistical , Mental Disorders , Epidemiology , Mental Health , Personality , Surveys and Questionnaires , Transients and Migrants , Psychology
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