Department of Epidemiology, Centre for Public Health, Medical University of Vienna, 1090 Vienna, Austria.
Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Occup Med (Lond). 2021 Dec 24;71(9):404-413. doi: 10.1093/occmed/kqab138.
Shift work is widespread due to 24-h work in many occupations. Understanding differences in individual shift work tolerance (SWT) can help develop coping strategies for shift workers.
This in-depth qualitative review elucidates the architecture of SWT, providing an overview of the research advances in the last decade (2011-2021).
We searched Google Scholar, PubMed and Medline for different word combinations concerning SWT. Genome-wide association studies (GWAS) for the potential genetic basis of SWT were additionally searched in GWAS Central and GWAS Catalogue.
Eleven new studies were published since 2011, with the proportion of longitudinal studies on SWT having more than doubled in the past decade. They consolidate prior findings (e.g. hardiness most consistently associated with SWT) and discovered additional aspects of SWT like resistance to change and job stress. The 15 large-scale GWAS identified, most of which using UK Biobank (UKB) and 23andMe data, involved mapped genes showing overlap especially within analysis of the same phenotype (e.g. PER2/3 for morningness, PAX8 for sleep duration and LINGO1 for neuroticism). Individual GWAS for additional traits such as resilience have also been published though assessments of gene overlap are not yet possible.
Progress regarding longitudinal studies on SWT has been made though a more consistent definition of SWT remains crucial for future research. Non-genetic studies on SWT suggest several important traits and factors; many of which have now also been explored using GWAS. Such evidence could serve as basis for individualized risk prediction and disease prevention approaches for night-shift workers.
由于许多职业 24 小时工作，轮班工作很普遍。了解个体轮班工作耐受性（SWT）的差异有助于为轮班工人制定应对策略。
本深入定性综述阐明了 SWT 的结构，概述了过去十年（2011-2021 年）的研究进展。
我们在 Google Scholar、PubMed 和 Medline 上搜索了不同的单词组合，以查找有关 SWT 的信息。还在 GWAS Central 和 GWAS Catalogue 中搜索了 SWT 潜在遗传基础的全基因组关联研究（GWAS）。
自 2011 年以来，又发表了 11 项新研究，过去十年中，关于 SWT 的纵向研究比例增加了一倍以上。它们巩固了先前的发现（例如，坚韧最常与 SWT 相关），并发现了 SWT 的其他方面，如对变化的抵抗力和工作压力。15 项大规模 GWAS 已确定，其中大多数使用英国生物库（UKB）和 23andMe 数据，涉及到基因图谱，特别是在对同一表型（例如，PER2/3 用于早晨型，PAX8 用于睡眠时间，LINGO1 用于神经质）的分析中。也发表了关于其他特征（如韧性）的个体 GWAS，尽管目前尚无法评估基因重叠的评估。
关于 SWT 的纵向研究已经取得了进展，尽管对 SWT 的更一致定义对于未来的研究仍然至关重要。SWT 的非遗传研究表明了几个重要的特征和因素；其中许多现在也已经使用 GWAS 进行了探索。这些证据可以作为夜间工作者的个体化风险预测和疾病预防方法的基础。
