甘肃省黑色及有色金属矿采选业劳动者职业紧张现状及对抑郁症状、焦虑症状和睡眠的影响

Occupational stress and its effects on depressive symptoms, anxiety symptoms, and sleep in workers of ferrous and non-ferrous metal mining industry in Gansu Province

  • 摘要:
    背景 矿采选业劳动者由于其工作环境的特殊性,同时伴有许多的职业病危害因素,因此易产生职业紧张等心理问题。
    目的 调查甘肃省黑色及有色金属矿采选业劳动者职业紧张、抑郁症状、焦虑症状和睡眠质量现况,并探究职业紧张对抑郁症状、焦虑症状和睡眠的影响。
    方法 2022年4—12月,采用分层整群随机抽样法,对甘肃省黑色及有色金属矿采选业大、中、小微型共25家企业的劳动者进行调查分析。采用《全国重点人群职业健康素养监测调查个人问卷》《职业紧张测量核心量表》《患者健康问卷》《广泛性焦虑量表》和《自填式睡眠问卷》分别调查研究对象的基本情况、职业紧张、抑郁症状、焦虑症状和睡眠质量。采用χ2检验比较不同变量组间职业紧张、抑郁症状、焦虑症状及睡眠障碍检出率的差异;采用logistic回归模型研究职业紧张对抑郁症状、焦虑症状、睡眠障碍的影响。
    结果 本研究调查矿采选业劳动者2192人,其中有效问卷2087份,有效问卷回收率为95.2%。其中存在职业紧张728名(38.4%)。不同性别、年龄、婚姻状况、文化程度、平均月收入、工龄、企业规模和夜班情况劳动者职业紧张检出率差异有统计学意义(P<0.001);矿采选业劳动者抑郁症状、焦虑症状和睡眠障碍的检出率分别为85.6%、49.8%和47.3%。职业紧张程度较高劳动者其抑郁症状、焦虑症状和睡眠障碍检出率高于无职业紧张劳动者(P<0.001);logistic回归分析显示,职业紧张是影响矿工抑郁症状(OR=3.29,95%CI:2.26~4.79)、焦虑症状(OR=2.87,95%CI:2.33~3.53)和睡眠障碍(OR=1.78,95%CI:1.46~2.16)的共同危险因素。此外工龄和企业规模也是影响劳动者抑郁症状、焦虑症状和睡眠障碍的危险因素。5~<10年和10~<20年工龄组劳动者出现抑郁症状的风险分别是工龄<1年的1.80(95%CI:1.18~2.74)和1.73(95%CI:1.10~2.71)倍;出现焦虑症状的风险分别是工龄<1年的1.98(95%CI:1.42~2.76)和2.11(95%CI:1.48~3.01)倍;发生睡眠障碍的风险分别是工龄<1年的1.58(95%CI:1.15~2.16)和1.78(95%CI:1.29~2.45)倍。大型企业劳动者出现抑郁症状、焦虑症状和睡眠障碍的风险较小微型企业增高(OR=3.53,95%CI:2.41~5.16;OR=2.49,95%CI:1.98~3.13;OR=2.10,95%CI:1.67~2.62)。
    结论 甘肃省矿采选业劳动者职业紧张水平处于较高水平,职业紧张、5~<10年和10~<20年工龄组及大型企业是影响矿采选业劳动者心理健康和睡眠的重要危险因素。应加大对5~20年工龄组及大型企业矿采选业劳动群体心理健康的关注和干预。

     

    Abstract:
    Background Due to the unique working environment and numerous occupational disease hazards, workers in mining industry are particularly susceptible to psychological problems such as occupational stress.
    Objective To understand the current status of occupational stress, depressive symptoms, anxiety symptoms and sleep quality of workers in ferrous and non-ferrous metal mining industry in Gansu Province, and to explore the effects of occupational stress on depressive symptoms, anxiety symptoms, and sleep.
    Methods From April to December 2022, the workers of 25 large, medium, and small and micro enterprises were selected by stratified cluster random sampling and surveyed in ferrous and non-ferrous metal mining industry in Gansu Province. The Occupational Health Literacy Questionnaire of National Key Population, Core Occupational Stress Scale, Patient Health Questionnaire-q, Generalized Anxiety Disorder, and Self-administer Sleep Questionnaire were used to collect basic information, occupational stress, depressive symptoms, anxiety symptoms, and sleep quality of the workers. Chi-square test was used to compare occupational stress, depressive symptoms, anxiety symptoms and sleep disorders among different categories. Logistic regression model was used to study the effects of occupational stress on depressive symptoms, anxiety symptoms, and sleep quality.
    Results In this study, 2192 workers in mining industry were surveyed, of which 2087 returned valid questionnaires, and the recovery rate of valid questionnaires was 95.2%. Among them, 728 (38.4%) reported occupational stress. There were statistically significant differences in the positive rate of occupational stress among workers by gender, age, marital status, education level, average monthly income, length of service, enterprise size, and night shifts (P<0.001). The positive rates of depressive symptoms, anxiety symptoms, and sleep disorders in the mining industry workers were 85.6%, 49.8%, and 47.3%, respectively. The positive rates of depressive symptoms, anxiety symptoms, and sleep disorders among workers with higher occupational stress were higher than those among workers without occupational stress (P<0.001). The logistic regression analysis showed that occupational stress was a common risk factor for depressive symptoms (OR=3.29, 95%CI: 2.26, 4.79), anxiety symptoms (OR=2.87, 95%CI: 2.33, 3.53), and sleep disorder (OR=1.78, 95%CI: 1.46, 2.16). In addition, length of service and enterprise-scale were also risk factors for depressive symptoms, anxiety symptoms, and sleep disorders. In the 5−<10 and 10−<20 years of service groups, the risks of reporting depressive symptoms were 1.80 (95%CI: 1.18, 2.74) and 1.73 (95%CI: 1.10, 2.71) times higher than that of workers with less than 1 year of service, respectively; the risks of reporting anxiety symptoms were 1.98 (95%CI: 1.42, 2.76) and 2.11 (95%CI: 1.48, 3.01) times higher than that with less than 1 year of service, respectively; the risks of reporting sleep disorders were 1.58 (95%CI: 1.15, 2.16) and 1.78 (95%CI: 1.29, 2.45) times higher than that with less than 1 year of service, respectively. Workers in large enterprises were inclined to report more depressive symptoms, anxiety symptoms, and sleep disturbances than those in micro and small enterprises (OR=3.53, 95%CI: 2.41, 5.16; OR=2.49, 95%CI: 1.98, 3.13; OR=2.10, 95%CI: 1.67, 2.62).
    Conclusion The occupational stress level of mining industry workers in Gansu Province is high, and reporting occupational stress, 5−<10 and 10−<20 working age groups, and large enterprises are important risk factors affecting workers' mental health and sleep. It is necessary to increase the attention and develop intervention programs for mental health of miners in the working age group of 5−20 years old and in large enterprises.

     

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