Abstract
Objective To analyze correlations between personality traits, life events and depressive symptoms based on structural equation model and to identify risky factors of depressive symptoms. Methods Using stratified random cluster sampling method, industrial workers recruited from Shougang Qianan corporation received questionnaire survey consisted of LES, NEO-FFI and CES-D.Maximum likelihood method was applied to calculate parameters of structural equation model, then the final model was confirmed based on modification indices. Results Depressive symptom(CES-D≥16) prevalence was 41.05% among industrial workers in current study.Neuroticism, extraversion, agreeableness and negative life events were significantly predictive to depressive symptoms(r=0.356, -0.304, -0.135, 0.227). Positive and negative life events, neuroticism and extraversion, extraversion and conscientiousness, neuroticism and agreeableness presented high correlation, with coefficients 0.614, -0.469, 0.432 and 0.402 respectively. The regression weight of affective symptoms, somatic symptoms and interpersonal relationship in measurement model were 0.779, 0.678, 0.464. Conclusion The onset of depressive symptoms among industrial workers is remarkably related to neuroticism, extraversion, agreeableness and negative life events. Certain measures are supposed to be conducted for mental nursing and intervention in order to strengthen depression prevention. Key words: Industrial workers; Depressive symptoms; Personality traits; Life events; Structural equation model
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