肖赢成, 陈浩, 蒋林, 贾英男. 不同轮班工作制铁路职业人群生活方式与血脂异常的关联[J]. 环境与职业医学, 2024, 41(6): 661-667. DOI: 10.11836/JEOM24002
引用本文: 肖赢成, 陈浩, 蒋林, 贾英男. 不同轮班工作制铁路职业人群生活方式与血脂异常的关联[J]. 环境与职业医学, 2024, 41(6): 661-667. DOI: 10.11836/JEOM24002
XIAO Yingcheng, CHEN Hao, JIANG Lin, JIA Yingnan. Association between lifestyle factors and dyslipidemia among railway workers under different shift work schedules[J]. Journal of Environmental and Occupational Medicine, 2024, 41(6): 661-667. DOI: 10.11836/JEOM24002
Citation: XIAO Yingcheng, CHEN Hao, JIANG Lin, JIA Yingnan. Association between lifestyle factors and dyslipidemia among railway workers under different shift work schedules[J]. Journal of Environmental and Occupational Medicine, 2024, 41(6): 661-667. DOI: 10.11836/JEOM24002

不同轮班工作制铁路职业人群生活方式与血脂异常的关联

Association between lifestyle factors and dyslipidemia among railway workers under different shift work schedules

  • 摘要: 背景

    不良生活方式可能是导致血脂异常风险增加的重要危险因素,鲜有研究关注从事轮班工作较多的铁路职业人群中上述二者间的相关性。

    目的

    掌握铁路职业人群血脂异常与生活方式现状,并探究不同轮班工制职工生活方式与血脂异常间的关联,为制定有针对性的铁路职业人群血脂异常预防措施提供参考依据。

    方法

    研究对象选取自2021年某铁路单位在职职工,采取配额抽样的方法,每个部门至少抽取50%以上的职工参与调查。研究通过自填式问卷收集2021年在职职工人口学特征与生活方式信息,并通过对员工进行健康体检收集生理生化指标。采用χ2检验分析不同特征的铁路职工血脂异常的分布差异,采用二元logistic回归分析各研究变量与血脂异常间的统计关联,采用相加交互模型分析生活方式健康状况与不同轮班工作制间的交互作用。

    结果

    研究共计纳入17392名研究对象,血脂异常率31.3%,从事夜班轮班以及常夜班的职工血脂异常率相比从事常白班职工更高,分别为33.5%与34.3%。铁路职业人群的主要不良生活方式为身体活动不活跃(59.6%)、饮酒(40.0%)与吸烟(35.7%),拥有健康生活方式者占13.6%,此外,不同生活方式的在职职工的血脂异常率差异均具有统计学意义(P<0.01)。经调整混杂因素后发现,吸烟是血脂异常的危险因素(OR=1.61,95%CI:1.48~1.75),身体活动高度活跃是血脂异常的保护因素(OR=0.79,95%CI:0.71~0.88)。总体而言,健康的生活方式可以降低血脂异常风险(OR=0.86,95%CI:0.77~0.95)。进一步按不同轮班工作制进行分层分析后发现,在不同轮班工作人群中吸烟与血脂异常间的关联均具有统计学意义(P<0.001),具体分别为:常白班,OR=1.62,95%CI:1.42~1.84;夜班轮班,OR=1.54,95%CI:1.35~1.76;常夜班,OR=1.75,95%CI:1.40~2.18。在常白班群体中,身体活动高度活跃者血脂异常风险降低(OR=0.81,95%CI:0.69~0.95);在夜班轮班群体中上述二者间仍存在相似的关联(OR=0.78,95%CI:0.65~0.94),此外,该群体中身体活动中度活跃者血脂异常风险同样降低(OR=0.85,95%CI:0.74~0.97)。夜班轮班和生活方式间并不存在相加交互作用,其相对超额超危险度(RERI)、归因比(AP)以及交互作用指数(S)分别为0.18(95%CI:−0.04~0.41)、0.15(95%CI:−0.04~0.33)与3.19(95%CI:0.09~110.44),常夜班和生活方式间同样不存在相加交互作用,RERI、AP与S分别为−0.03(95%CI:−0.43~0.37)、−0.02(95%CI:−0.35~0.31)与0.90(95%CI:0.18~4.46)。进一步根据工作制与生活方式划分不同人群发现,从事夜班轮班且生活方式不健康者患血脂异常的可能性高于从事常白班工作且生活方式健康者(OR=1.27,95%CI:1.09~1.48)。

    结论

    该铁路单位职工血脂健康状况较差,且不良生活方式普遍存在,从事夜班工作者血脂异常率更高。在不同轮班工作的职工中,吸烟、身体活动不活跃者血脂异常风险可能增加,同时应尤为重视处于不良生活方式的夜班轮班工作者的血脂健康状况。

     

    Abstract: Background

    Unhealthy lifestyles may constitute significant risk factors for dyslipidemia. However, limited studies focus on the association mentioned above among railway workers undertaking frequent shift work.

    Objective

    To understand the status of dyslipidemia and lifestyles among railway workers, and to investigate the association between the lifestyles of workers involved in different shift work schedules and dyslipidemia, aiming to provide a reference for the development of targeted intervention strategies against dyslipidemia in this occupational group.

    Methods

    The participants were selected from the in-service staff of a railway unit in 2021. A quota sampling approach was used to ensure the participation of at least 50% of employees from each department. Demographic and lifestyle information of the railway workers in 2021 was collected through self-administered questionnaires, while physiological and biochemical indicators were obtained through health examinations. Chi-square tests were employed to analyze the distribution of dyslipidemia among railway workers with different characteristics. Binary logistic regression was utilized to examine the associations between selected variables and dyslipidemia, and additive model was used to investigate the interaction between lifestyle and different shift work schedules on dyslipidemia.

    Results

    A total of 17392 railway workers were included in the study, and the total prevalence of dyslipidemia was 31.3%, with a higher prevalence reported among workers undertaking rotating night shifts (33.5%) and permanent night shifts (34.3%) than those with regular day work. The main adverse lifestyles among the railway workers were physical inactivity (59.6%), alcohol consumption (40.0%), and smoking (35.7%), and only 13.6% reported a healthy lifestyle. Furthermore, significant statistical differences in the prevalence of dyslipidemia were reported among workers with different lifestyles (P<0.01). After adjusting for confounding factors, smoking was a risk factor for dyslipidemia (OR=1.61, 95%CI: 1.48, 1.75), while highly active physical activity served as a protective factor against dyslipidemia (OR=0.79, 95%CI: 0.71, 0.88). In general, adopting a healthy lifestyle was associated with a decreased risk of dyslipidemia (OR=0.86, 95%CI: 0.77, 0.95). The stratified analyses based on different shift work schedules revealed a statistically significant association between smoking and dyslipidemia across various shift work occupational groups (P<0.001): regular day work, OR=1.62, 95%CI: 1.42, 1.84; rotating night shifts, OR=1.54, 95%CI: 1.35, 1.76; and permanent night shifts, OR=1.75, 95%CI: 1.40, 2.18. In regular day workers, highly active physical activity was associated with a reduced risk of dyslipidemia (OR=0.81, 95%CI: 0.69, 0.95). A similar association was observed among workers undertaking rotating night shifts (OR=0.78, 95%CI: 0.65, 0.94); furthermore, moderately active physical activity was also associated with a reduced risk of dyslipidemia in this occupational group (OR=0.85, 95%CI: 0.74, 0.97). There was no additive interaction between rotating night shifts and lifestyle with relative excess risk due to interaction (RERI), attributable proportion due to interaction (AP), and synergy index (S) of 0.18 (95%CI: −0.04, 0.41), 0.15 (95%CI: −0.04, 0.33), and 3.19 (95%CI: 0.09~110.44), respectively. There was also no additive interaction between permanent night shifts and lifestyle, with RERI, AP and S of −0.03 (95%CI: −0.43~0.37), −0.02 (95%CI: −0.35~0.31) and 0.90 (95%CI: 0.18~4.46). Further stratification of populations according to shift work schedules and lifestyles revealed that those who worked rotating night shifts and reported unhealthy lifestyles were more likely to present dyslipidemia than those who undertook regular day work and had healthy lifestyles (OR=1.27, 95%CI: 1.09, 1.48).

    Conclusion

    Railway workers present less optimistic lipid health status, and unhealthy lifestyles are prevalent among them. Those engaged in night shift work report a higher prevalence of dyslipidemia. Among workers with different shift schedules, smoking and physical inactivity are identified as the primary risk factors for dyslipidemia, and particular attention should be paid to the lipid health status of rotating night shift workers with poor lifestyles.

     

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