Cillekens Bart, van Eeghen Emma, Oude Hengel Karen M, Coenen Pieter
Department of Public and Occupational Health, Amsterdam UMC, Location VU University Medical Center (VUmc), Van der Boechorststraat 7, 1081 BT, Amsterdam, The Netherlands.
Amsterdam Public Health Research Institute, Societal Participation & Health, Amsterdam, The Netherlands.
Int Arch Occup Environ Health. 2023 Nov;96(9):1301-1311. doi: 10.1007/s00420-023-02008-0. Epub 2023 Sep 25.
This study aimed to investigate changes in physical work demands in association with self-rated health and musculoskeletal symptoms.
Data from five waves over the period 2019-2021 of the Netherlands Working Conditions Survey COVID-19 were available for 7191 participants aged 19-64 years who worked (partly) on-site during at least two consecutive waves. Logistic generalized estimated equations (GEE) were used to estimate the odds ratios (OR) with 95% confidence interval (CI) for changes (increase or decrease compared to no change) in physical work demands between two waves and poor self-rated health and musculoskeletal symptoms in the following wave, adjusted for the health outcome at the first wave, age, educational level, working hours and hours worked from home.
In females, a statistically significant association was found between an increase in physical work demands compared to no change and musculoskeletal symptoms (OR 1.39, 95% CI 1.17-1.65). A decrease in physical work demands in females was not statistically significantly associated with musculoskeletal symptoms (OR 0.93, 95% CI 0.80-1.08). Similar trends were found for poor self-rated health, although non-statistically significant. For males, comparable but attenuated associations were found.
While our study showed that increasing physical work demands are associated with adverse health (self-reported and musculoskeletal), it did not appear to benefit worker's health to reduce work demands. Future research with multiple measurements in a shorter period and additionally using devices to measure physical work demands will be needed to confirm our study results.
本研究旨在调查与自我评定健康状况和肌肉骨骼症状相关的体力工作需求变化。
荷兰工作条件调查COVID-19在2019 - 2021年期间的五轮数据可供7191名年龄在19 - 64岁的参与者使用，这些参与者在至少连续两轮中（部分）在现场工作。使用逻辑广义估计方程（GEE）来估计两轮之间体力工作需求变化（与无变化相比增加或减少）以及下一轮中自我评定健康状况不佳和肌肉骨骼症状的比值比（OR）及其95%置信区间（CI），并对第一轮的健康结果、年龄、教育水平、工作时间和在家工作时间进行了调整。
在女性中，与无变化相比体力工作需求增加与肌肉骨骼症状之间存在统计学上的显著关联（OR 1.39，95% CI 1.17 - 1.65）。女性体力工作需求减少与肌肉骨骼症状之间无统计学上的显著关联（OR 0.93，95% CI 0.80 - 1.08）。自我评定健康状况不佳也发现了类似趋势，尽管无统计学意义。在男性中发现了类似但较弱的关联。
虽然我们的研究表明体力工作需求增加与不良健康状况（自我报告和肌肉骨骼方面）相关，但降低工作需求似乎对工人健康并无益处。未来需要在更短时间内进行多次测量并额外使用设备测量体力工作需求的研究来证实我们的研究结果。
