Journal of occupational and environmental medicine · 2025
The Association Between Shift Work and Lipid Health in Chinese Railway Workers: A Longitudinal Analysis of 6 Years.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Wu Huishuan, Jin Yu, Liu Yan, Zeng Siyi, Wen Liang, Qian Cunwen, Jin Kezhi
Аннотация
OBJECTIVE: This study aimed to evaluate the longitudinal association between shift work and lipid health among railway workers.
METHODS: Data from 1126 railway workers with at least two physical examinations from 2016 to 2021 were retrieved. Records of triglycerides, total cholesterol, low-density, and high-density lipoprotein cholesterol were extracted, with dyslipidemia defined by Chinese guidelines. Group-based trajectory model were adopted to identify the trajectory of lipid health. Multinomial logistics regression evaluated the association between shifts and trajectories of lipid health.
RESULTS: Three trajectories of dyslipidemia prevalence were identified: persistently low (40.8%), persistently moderate (34.3%), and persistently high (24.9%). Those on dedicated/pooled charter shifts were more likely be persistently low dyslipidemia prevalence trajectory group (odds ratio = 0.617, 95% confidence interval = 0.408-0.934).
CONCLUSIONS: Nonregular day shift work is associated with lower levels of lipid profile and lower risk of lipid abnormalities.
METHODS: Data from 1126 railway workers with at least two physical examinations from 2016 to 2021 were retrieved. Records of triglycerides, total cholesterol, low-density, and high-density lipoprotein cholesterol were extracted, with dyslipidemia defined by Chinese guidelines. Group-based trajectory model were adopted to identify the trajectory of lipid health. Multinomial logistics regression evaluated the association between shifts and trajectories of lipid health.
RESULTS: Three trajectories of dyslipidemia prevalence were identified: persistently low (40.8%), persistently moderate (34.3%), and persistently high (24.9%). Those on dedicated/pooled charter shifts were more likely be persistently low dyslipidemia prevalence trajectory group (odds ratio = 0.617, 95% confidence interval = 0.408-0.934).
CONCLUSIONS: Nonregular day shift work is associated with lower levels of lipid profile and lower risk of lipid abnormalities.