徐明, 阎腾龙, 谢婷婷, 王会宁, 丁晓文, 牛东升. 职业紧张对基因测序企业员工抑郁和睡眠的影响[J]. 环境与职业医学, 2022, 39(11): 1256-1261. DOI: 10.11836/JEOM22107
引用本文: 徐明, 阎腾龙, 谢婷婷, 王会宁, 丁晓文, 牛东升. 职业紧张对基因测序企业员工抑郁和睡眠的影响[J]. 环境与职业医学, 2022, 39(11): 1256-1261. DOI: 10.11836/JEOM22107
XU Ming, YAN Tenglong, XIE Tingting, WANG Huining, DING Xiaowen, NIU Dongsheng. Effect of occupational stress on depression and sleep of gene sequencing enterprise employees[J]. Journal of Environmental and Occupational Medicine, 2022, 39(11): 1256-1261. DOI: 10.11836/JEOM22107
Citation: XU Ming, YAN Tenglong, XIE Tingting, WANG Huining, DING Xiaowen, NIU Dongsheng. Effect of occupational stress on depression and sleep of gene sequencing enterprise employees[J]. Journal of Environmental and Occupational Medicine, 2022, 39(11): 1256-1261. DOI: 10.11836/JEOM22107

职业紧张对基因测序企业员工抑郁和睡眠的影响

Effect of occupational stress on depression and sleep of gene sequencing enterprise employees

  • 摘要: 背景

    基因测序行业是技术创新驱动型行业,对员工的自主学习和创新能力要求较高,员工面临较大的职业压力。

    目的

    了解基因测序企业员工职业紧张、抑郁及睡眠情况,分析职业紧张对二者的影响。

    方法

    2021年11—12月,采用职业紧张测量核心量表、病人健康问卷中文版、匹兹堡睡眠质量指数量表对34家基因测序企业469名员工职业紧张、抑郁及睡眠情况进行问卷调查。回收有效问卷427份,问卷有效率为91.04%。采用logistic回归模型探索职业紧张与抑郁、睡眠情况间关系。

    结果

    研究对象职业紧张、抑郁和睡眠障碍发生率分别为27.40%、33.49%、28.10%。不同职业紧张程度组抑郁和睡眠障碍发生率差异均具有统计学意义(P<0.05)。多因素logistic回归分析结果显示:研究对象职业紧张的社会支持维度分值每增加1分,抑郁的发生风险升高至1.206(95%CI:1.117~1.304)倍,睡眠障碍的发生风险升高至1.143(95%CI:1.059~1.233)倍;组织与回报维度分值每增加1分,抑郁的发生风险升高至1.082(95%CI:1.017~1.151)倍;轻度、中度、重度职业紧张者较无职业紧张者抑郁发生风险升高(OR=2.535,95%CI:1.465~4.386;OR=3.774,95%CI:1.809~7.870;OR=3.823,95%CI:1.486~9.837);重度职业紧张者睡眠障碍发生风险较无职业紧张者增高(OR=3.141,95%CI:1.233~8.006)。

    结论

    基因测序行业员工职业紧张可增加抑郁及睡眠障碍发生风险,企业需采取干预措施并注意防治。

     

    Abstract: Background

    Gene sequencing industry is an emerging innovation-driven industry. Employees have high requirements for independent learning and innovation ability and face great professional pressure.

    Objective

    To understand the occupational stress, depression, and sleep of gene sequencing enterprise employees and to analyze the effect of occupational stress on depression and sleep.

    Methods

    From November to December 2021, occupational stress, depression, and sleep conditions of 469 workers from 34 enterprises in gene sequencing industry were surveyed by Core Occupational Stress Scale (COSS), Patient Health Questionnaire 9 (PHQ-9), and Pittsburgh Sleep Quality Index (PSQI). A total of 427 valid questionnaires were recovered with a questionnaire valid response rate of 91.04%. The relationship of occupational stress with depression or sleep was analyzed by logistic regression.

    Results

    The rates of occupational stress, depression, and sleep disorder were 27.40%, 33.50%, and 28.10%, respectively. Significant difference were found in the rates of depression and sleep disorder in different occupational stress groups (P<0.05). The results of logistic regression analysis showed that, for every 1 increase in social support score, the risk of depression increased by 1.206 (95%CI: 1.117−1.304), and the risk of sleep disorder increased by 1.143 (95%CI: 1.059−1.233). For every 1 increase in organization and reward score, the risk of developing depression increased by 1.082 (95%CI: 1.017−1.151). Mild, moderate, and severe occupational stress were all associated with a higher risk of depression in reference to no occupational stress (OR=2.535, 95%CI: 1.465−4.386; OR=3.774, 95%CI: 1.809−7.870; OR=3.823, 95%CI: 1.486−9.837). Severe occupational stress was associated with a higher risk of sleep disorder in reference to no occupational stress (OR=3.141, 95%CI: 1.233−8.006).

    Conclusion

    Occupational stress among employees in the gene sequencing industry can increase the risks of depression and sleep disorder. Enterprises need to take intervention measures and pay attention to prevention and treatment.

     

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