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XIAO Yanping, LIU Bin, YAN Xuehua, JIANG Minmin, CHEN Huifeng. Correlation between occupational stress and blood lipid of workers in a power grid enterprise[J]. Occupational Health and Emergency Rescue, 2022, 40(3): 265-272. DOI: 10.16369/j.oher.issn.1007-1326.2022.03.002
Citation: XIAO Yanping, LIU Bin, YAN Xuehua, JIANG Minmin, CHEN Huifeng. Correlation between occupational stress and blood lipid of workers in a power grid enterprise[J]. Occupational Health and Emergency Rescue, 2022, 40(3): 265-272. DOI: 10.16369/j.oher.issn.1007-1326.2022.03.002
shu

Correlation between occupational stress and blood lipid of workers in a power grid enterprise

  • 1.

    Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, Guangdong 510300, China

  • 2.

    School of Public Health of Anhui Medical University, Hefei, Anhui 230032, China

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  • Received Date: December 27, 2021
    Graphical Abstract
    • Abstract
  •   Objective   The correlation between occupational stress and blood lipid level of employees in a power grid enterprise was evaluated, so as to improve the physical and mental health level of these employees.
      Methods   Totally 1 091 employees in a power grid enterprise were studied by a cluster sampling way. Both Job content questionnaire (JCQ) corresponding to job requirements autonomy (JDC) mode and pay-return imbalance questionnaire (ERI)corresponding to pay return imbalance (ERI) mode were used to evaluate employees' occupational stress, while their peripheral blood samples were collected to measure the levels of total cholesterol(TC), triglyceride(TG), high density lipoprotein cholesterol (HDLC) and low density lipoprotein cholesterol (LDLC). Binary logistic regression was used to analyze the influencing factors of blood lipid level.
      Results   Finally 916 valid questionnaires were collected with effective recovery rate of 84.0%. JDC mode showed that the frequency of high occupational stress was 48.91%, while ERI mode showed that the frequency of high occupational stress was 52.51%. The physical examination results showed that 436 (47.6%), 313 (34.2%), 132 (14.4%)and 345(37.7%)workers had abnormal TC level, TG level, LDLC level and HDLC level, respectively, with the overall dyslipidemia rate of 65.3%(598 / 916). The results of logistic regression analysis showed that: (1) under JDC mode, the risk of dyslipidemia of employees aged 40-50 and over 50 years old was 2.632 times and 4.903 times higher than that of employees under 30 years old, respectively(P < 0.05);the risk of dyslipidemia of workers with overweight and obese was 1.475 times and 2.911 times higher than that of workers with normal weight, respectively (P < 0.05); the risk of dyslipidemia of workers engaged in shift work was 1.513 times higher than others (P < 0.05); the risk of dyslipidemia of employees whose monthly income was more than 9 000 yuan was 2.058 times higher than that of employees whose monthly income was less than 5 000 yuan (P < 0.05);the risk of dyslipidemia in employees with moderate autonomy was 1.546 times higher than that of employees with low autonomy (P < 0.05)(. 2) Under ERI mode, the risk of dyslipidemia of female workers was 0.612 times lower than that of male workers (P < 0.05); the risk of dyslipidemia of workers aged 40 - 50 and over 50 was 2.785 times and 5.151 times higher than workers aged under 30, respectively (P < 0.05); the risk of dyslipidemia in workers with overweight and obese was 1.436 times and 2.964 times higher than that of workers with normal weight, respectively (P < 0.05);the risk of dyslipidemia of employees whose monthly income was more than 9 000 yuan was 1.955 times higher than that of employees whose monthly income was less than 5 000 yuan (P < 0.05); the risk of dyslipidemia in workers with medium and high pay levels was 1.793 times and 2.183 times higher than that of workers with low pay level, respectively (P < 0.05).
      Conclusions   The dyslipidemia rate of employees in this power grid enterprise was high. The enterprise should reasonably arrange working hours and regularly arrange employees to carry out mental health knowledge training, and cultivate employees to develop good living and sports habits; employees should actively learn relevant knowledge of occupational health and self-psychological counseling.
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