Centre for Musculoskeletal Research, Department of Occupational Health Sciences and Psychology, University of Gävle, 801 76 Gävle, Sweden.
National Research Centre for the Working Environment, 2100 Copenhagen, Denmark.
Int J Environ Res Public Health. 2021 Feb 5;18(4):1508. doi: 10.3390/ijerph18041508.
We aimed to investigate the association between work-time compositions of physical behavior and sick leave trajectories due to musculoskeletal pain over one year. We conducted a secondary analysis using the data of 981 workers in a Danish prospective cohort (DPHACTO 2012-2014). At baseline, we assessed physical behaviors (sitting, standing, light physical activity (LIPA), and moderate-to-vigorous physical activity (MVPA)) at work and during leisure, using accelerometers. Over 1 year follow-up, workers reported sick-leave days due to musculoskeletal pain at 4-week intervals. Four distinct trajectories of sick leave were previously identified in this cohort ("no sick leave", "few days-increasing trajectory", "some days-decreasing trajectory", "some days-increasing trajectory"), and used as an outcome in multinomial regression models with work-time compositions as predictors, adjusted for compositions of behavior during leisure, age, sex, body mass index, and smoking habits. More time spent sitting relative to the other behaviors was negatively associated with the trajectory of few days-increasing sick leave ( = 0.004), while time in LIPA was positively associated with the trajectory of some days-increasing sick leave ( = 0.009). Standing and MVPA were not significantly associated with sick leave trajectories. In conclusion, work-time compositions with more sitting relative to the other behaviors had lower risk for an increasing trajectory of sick leave due to pain, while compositions with more LIPA had higher risk. This may have implications for prevention of pain-related sick leave in blue-collar workers.
我们旨在研究体力活动的工作时间构成与一年以上肌肉骨骼疼痛导致的病假轨迹之间的关联。我们使用丹麦前瞻性队列(DPHACTO 2012-2014)的数据进行了二次分析。在基线时,我们使用加速度计评估了工作和休闲时的体力活动(坐着、站着、轻度体力活动(LIPA)和中度至剧烈体力活动(MVPA))。在 1 年的随访中,工人每 4 周报告一次因肌肉骨骼疼痛导致的病假天数。在该队列中,先前已经确定了四种不同的病假轨迹(“无病假”、“病假天数增加轨迹”、“病假天数减少轨迹”和“病假天数增加轨迹”),并将其用作因变量,将工作时间组成作为预测因子,使用多元回归模型进行分析,同时调整了休闲时间的行为组成、年龄、性别、体重指数和吸烟习惯。与其他行为相比,更多的时间坐着与病假天数增加轨迹呈负相关( = 0.004),而 LIPA 时间与病假天数增加轨迹呈正相关( = 0.009)。站立和 MVPA 与病假轨迹无显著相关性。总之,与其他行为相比,更多的坐着时间与疼痛导致的病假增加轨迹的风险较低,而更多的 LIPA 时间与病假增加轨迹的风险较高。这可能对预防蓝领工人与疼痛相关的病假有影响。