罗田, 程晓萍, 熊燕. 深圳制造企业新入职90后产线员工的心理弹性、心理压力与心理健康的关系[J]. 环境与职业医学, 2014, 31(7): 501-506. DOI: 10.13213/j.cnki.jeom.2014.0119
引用本文: 罗田, 程晓萍, 熊燕. 深圳制造企业新入职90后产线员工的心理弹性、心理压力与心理健康的关系[J]. 环境与职业医学, 2014, 31(7): 501-506. DOI: 10.13213/j.cnki.jeom.2014.0119
LUO Tian , CHENG Xiao-ping , XIONG Yan . Relationship among Psychological Resilience, Psychological Pressure, and Mental Health of New Workers Born after 1990 in Manufacturing Industry of Shenzhen City[J]. Journal of Environmental and Occupational Medicine, 2014, 31(7): 501-506. DOI: 10.13213/j.cnki.jeom.2014.0119
Citation: LUO Tian , CHENG Xiao-ping , XIONG Yan . Relationship among Psychological Resilience, Psychological Pressure, and Mental Health of New Workers Born after 1990 in Manufacturing Industry of Shenzhen City[J]. Journal of Environmental and Occupational Medicine, 2014, 31(7): 501-506. DOI: 10.13213/j.cnki.jeom.2014.0119

深圳制造企业新入职90后产线员工的心理弹性、心理压力与心理健康的关系

Relationship among Psychological Resilience, Psychological Pressure, and Mental Health of New Workers Born after 1990 in Manufacturing Industry of Shenzhen City

  • 摘要: 目的 探讨深圳市3 家制造企业新入职的90 后产线员工的心理弹性、心理压力以及心理健康之间的关系。

    方法 在深圳市3 家制造企业选取入职一周的90 后产线员工,以他们的入职日期为单位进行整群抽样。分别采用中文版心理弹性量表(CD-RISC)、中文版知觉心理压力量表(CPSS)和一般健康问卷(GHQ-20)进行心理弹性、心理压力和心理健康的调查。

    结果 共调查800 名新进产线员工,回收有效问卷753 份,有效率为94.13%。在性别方面,紧张感、心理压力、坚韧、自我肯定、忧郁和心理健康得分间差别有统计学意义(P< 0.05),其他均无统计学意义(P> 0.05)。在是否独生子女方面,心理弹性、心理压力和心理健康以及各维度得分间差别均无统计学意义(P> 0.05)。心理弹性、心理压力和心理健康间都存在线性相关关系;心理弹性与心理健康间呈正相关关系(r=0.874,P< 0.01);心理压力与心理弹性间呈负相关(r=-0.632,P< 0.01),心理压力与心理健康间也呈负相关关系(r=-0.608,P< 0.01)。心理弹性和心理压力分别对心理健康都有预测作用;将心理弹性和心理压力同时纳入回归方程后,心理压力对心理健康的预测效应从0.452 下降至0.070,说明心理弹性是心理压力与心理健康的部分中介变量。

    结论 深圳市制造企业新进产线员工的心理弹性、心理压力与心理健康间存在线性相关关系,且心理压力对心理健康的预测效应是通过心理弹性这一中介变量实现的。

     

    Abstract: Objective To assess the relationship among psychological resilience, psychological pressure, and mental health of newly recruited production line workers who were born after 1990 in three manufacturing factories in Shenzhen.

    Conclusion Production line workers who were born after 1990 and started working one week ago were selected from three manufacturing factories in Shenzhen. The Chinese Connor-Davidson Resilience Scale (CD-RISC), Chinese Perceived Stress Scale (CPSS), and General Health Questionnaire (GHQ-20) were used to assess their psychological resilience, psychological pressure, and mental health.

    Results A total of 800 employees participated the questionnaire survey, and 753 questionnaires were validated (94.13%). Gender showed statistically significant differences in the scores of tension, psychological pressure, tough, self-affirmation, melancholy, and mental health (P< 0.05), but not in other parameters (P> 0.05). There were no statistically significant differences in all the psychological parameters between only child or not (P> 0.05). Linear relationships were found between the scores of psychological resilience, psychological stress, and mental health: a positive correlation between the scores of psychological resilience and mental health (r=0.874, P< 0.01); a negative correlation between the psychological resilience and psychological stress scores (r=-0.632, P< 0.01); and a negative correlation between the scores of psychological pressure and mental health (r=-0.608, P< 0.01). Psychological resilience and psychological pressure were predictive factors, and after these two factors were included in the regression equation, the prediction effect of psychological pressure on mental health was lowered from 0.452 to 0.070, suggesting psychological resilience as a partial intermediate variable of psychological stress and mental health.

    Conclusion There are linear relationships between psychological resilience, psychological stress, and mental health of the new recruits in Shenzhen manufacturing industry, and the prediction effect of psychological stress on mental health is realized through psychological resilience which works as an intermediary variable.

     

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