Harding Barbara N, Espinosa Ana, Castaño-Vinyals Gemma, Pozo Oscar J, Skene Debra J, Bustamante Mariona, Mata Maria, Aguilar Ruth, Dobaño Carlota, Wucher Valentin, Navarrete José Maria, Faro Patricia Such, Torrejón Antonio, Kogevinas Manolis, Papantoniou Kyriaki
College of Population Health, University of New Mexico, Albuquerque, New Mexico, USA.
ISGlobal, Barcelona, Spain.
J Pineal Res. 2024 Nov;76(8):e70017. doi: 10.1111/jpi.70017.
We explored predictors of shift work adaptation and how it relates to disease risk biomarker levels. These analyses included 38 male, rotating shift workers, sampled twice at the end of a 3-week night shift and a 3-week day shift rotation. Participants collected all 24-h urine voids, wore activity sensors, and responded to questionnaires during each shift. Using cosinor analysis, we derived the main period of urinary 6-sulfatoxymelatonin (aMT6s) production. Adaptation was defined as the overlap between the main aMT6s production period and sleep period assessed with actigraphy. We used linear models to identify predictors of adaptation to each shift and assessed associations between adaptation profiles and hormone, cytokine, and metabolite biomarker levels. The median duration of overlap (adaptation) was 3.85 h (IQR 2.59-5.03) in the night and 2.98 (IQR 2.17-4.11) in the day shift. In the night shift, a later chronotype (coeff: -1.16, 95% CI -1.87, -0.45) and increased light at night (coeff: -0.97, 95% CI -1.76, -0.18) were associated with poorer adaptation, while longer sleep duration was associated with better adaptation (coeff: 0.46, 95% CI 0.04, 0.88). In the day shift, later sleep onset was associated with worse adaptation (coeff: -0.06, 95% CI -0.12, -0.01), while longer sleep duration was associated with better adaptation (coeff: 0.54, 0.26, 0.81). Results suggest higher androgen and inflammatory marker levels and lower levels of several metabolite markers among less adapted individuals. Chronotype, sleep, and light at night were all associated with night or day shift adaptation. Given the small sample size, results should be viewed as exploratory, but may inform interventions to optimize adaptation of rotating shift workers.
我们探究了轮班工作适应性的预测因素及其与疾病风险生物标志物水平的关系。这些分析纳入了38名男性轮班工人，在为期3周的夜班和3周的白班轮换结束时各进行了两次采样。参与者在每次轮班期间收集了所有24小时的尿液，佩戴了活动传感器，并回答了问卷。使用余弦分析法，我们得出了尿6-硫酸褪黑素（aMT6s）分泌的主要时段。适应性被定义为通过活动记录仪评估的aMT6s主要分泌时段与睡眠时间的重叠情况。我们使用线性模型来确定每种轮班适应性的预测因素，并评估适应性特征与激素、细胞因子和代谢物生物标志物水平之间的关联。夜班时重叠（适应性）的中位时长为3.85小时（四分位间距2.59 - 5.03），白班时为2.98小时（四分位间距2.17 - 4.11）。在夜班中，较晚的昼夜节律类型（系数：-1.16，95%置信区间 -1.87，-0.45）和夜间光照增加（系数：-0.97，95%置信区间 -1.76，-0.18）与较差的适应性相关，而较长的睡眠时间与较好的适应性相关（系数：0.46，95%置信区间0.04，0.88）。在白班中，较晚的入睡时间与较差的适应性相关（系数：-0.06，95%置信区间 -0.12，-0.01），而较长的睡眠时间与较好的适应性相关（系数：0.54，0.26，0.81）。结果表明，适应性较差的个体中雄激素和炎症标志物水平较高，而几种代谢物标志物水平较低。昼夜节律类型、睡眠和夜间光照均与夜班或白班适应性相关。鉴于样本量较小，结果应被视为探索性的，但可能为优化轮班工人适应性的干预措施提供参考。
