The 1001 nights-cohort – paving the way for future research on working hours, night work, circadian disruption, sleep, and health

IF 5.9 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH European Journal of Epidemiology Pub Date : 2025-02-07 DOI:10.1007/s10654-025-01201-4
Kirsten Nabe-Nielsen, Anne Emily Saunte Fiehn Arup, Mette Sallerup, Rikke Harmsen, Anna Sofie Ginty, Marie Tolver Nielsen, Anne-Sofie Rosenfeldt Jensen, Anders Aagaard, Vivi Schlünssen, Ann Dyreborg Larsen, Anne Helene Garde
{"title":"The 1001 nights-cohort – paving the way for future research on working hours, night work, circadian disruption, sleep, and health","authors":"Kirsten Nabe-Nielsen, Anne Emily Saunte Fiehn Arup, Mette Sallerup, Rikke Harmsen, Anna Sofie Ginty, Marie Tolver Nielsen, Anne-Sofie Rosenfeldt Jensen, Anders Aagaard, Vivi Schlünssen, Ann Dyreborg Larsen, Anne Helene Garde","doi":"10.1007/s10654-025-01201-4","DOIUrl":null,"url":null,"abstract":"<p>Night work and circadian disruption are linked to major public health challenges, e.g. cancer, cardiometabolic disease, and accidents. We established the <i>1001 nights-cohort</i> to explore mechanisms underlying health effects of night work and circadian disruption. 1075 female hospital employees participated from September 2022 to April 2024. The data collection included a questionnaire, a blood sample, anthropometric measures, and sleep actigraphy and sleep diaries across 14 days. In subsamples, light exposure, physical activity, skin temperature, and blood glucose were measured continuously for 7 days, and saliva samples were collected five times across one day. The cohort consists of 2- and 3-shift workers with night work (66%), permanent night workers (7%), permanent evening workers or 2-shift workers without night work (9%), and permanent day workers (18%). Data comprise 4553 day shifts, 997 evening shifts, 1963 night shifts, and 6458 days without work. The poorest health was observed among permanent night workers and the group of shift workers <i>without</i> night work. The 1001 nights-cohort is the most comprehensive data within night work and working hour research due to the combination of questionnaires, biomarkers, technical measurements, and possibilities for linkage to historical and future register-based information about working hours from the Danish Working Hour Database (DAD) and diagnoses. With its repeated measurements within the same individual, the cohort will advance research on physiological and behavioral mechanisms underlying health effects of working hours, night work, and circadian disruption and deliver important scientific input for updating guidelines on healthy scheduling of working hours.</p>","PeriodicalId":11907,"journal":{"name":"European Journal of Epidemiology","volume":"26 1","pages":""},"PeriodicalIF":5.9000,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Epidemiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s10654-025-01201-4","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0

Abstract

Night work and circadian disruption are linked to major public health challenges, e.g. cancer, cardiometabolic disease, and accidents. We established the 1001 nights-cohort to explore mechanisms underlying health effects of night work and circadian disruption. 1075 female hospital employees participated from September 2022 to April 2024. The data collection included a questionnaire, a blood sample, anthropometric measures, and sleep actigraphy and sleep diaries across 14 days. In subsamples, light exposure, physical activity, skin temperature, and blood glucose were measured continuously for 7 days, and saliva samples were collected five times across one day. The cohort consists of 2- and 3-shift workers with night work (66%), permanent night workers (7%), permanent evening workers or 2-shift workers without night work (9%), and permanent day workers (18%). Data comprise 4553 day shifts, 997 evening shifts, 1963 night shifts, and 6458 days without work. The poorest health was observed among permanent night workers and the group of shift workers without night work. The 1001 nights-cohort is the most comprehensive data within night work and working hour research due to the combination of questionnaires, biomarkers, technical measurements, and possibilities for linkage to historical and future register-based information about working hours from the Danish Working Hour Database (DAD) and diagnoses. With its repeated measurements within the same individual, the cohort will advance research on physiological and behavioral mechanisms underlying health effects of working hours, night work, and circadian disruption and deliver important scientific input for updating guidelines on healthy scheduling of working hours.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
1001个夜晚——为未来关于工作时间、夜间工作、昼夜节律紊乱、睡眠和健康的研究铺平了道路
夜班和昼夜节律紊乱与重大公共卫生挑战有关,例如癌症、心脏代谢疾病和事故。我们建立了1001个夜晚队列来探索夜间工作和昼夜节律紊乱对健康影响的潜在机制。从2022年9月到2024年4月,1075名医院女员工参与了这项研究。收集的数据包括14天内的问卷调查、血液样本、人体测量、睡眠活动记录和睡眠日记。在亚样本中,连续7天测量光照、体力活动、皮肤温度和血糖,并在一天内收集5次唾液样本。该队列包括夜班的2班和3班工人(66%),永久夜班工人(7%),永久夜班工人或没有夜班的2班工人(9%)和永久白工(18%)。数据包括4553个白班、997个晚班、1963个夜班和6458个没有工作的天。长期夜班工人和不上夜班的轮班工人的健康状况最差。1001个夜晚队列是夜间工作和工作时间研究中最全面的数据,因为它结合了问卷调查、生物标志物、技术测量,以及与丹麦工作时间数据库(DAD)和诊断中关于工作时间的历史和未来登记信息的联系。通过对同一个体的重复测量,该队列将推进工作时间、夜间工作和昼夜节律中断对健康影响的生理和行为机制的研究,并为更新健康的工作时间安排指南提供重要的科学输入。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
European Journal of Epidemiology
European Journal of Epidemiology 医学-公共卫生、环境卫生与职业卫生
CiteScore
21.40
自引率
1.50%
发文量
109
审稿时长
6-12 weeks
期刊介绍: The European Journal of Epidemiology, established in 1985, is a peer-reviewed publication that provides a platform for discussions on epidemiology in its broadest sense. It covers various aspects of epidemiologic research and statistical methods. The journal facilitates communication between researchers, educators, and practitioners in epidemiology, including those in clinical and community medicine. Contributions from diverse fields such as public health, preventive medicine, clinical medicine, health economics, and computational biology and data science, in relation to health and disease, are encouraged. While accepting submissions from all over the world, the journal particularly emphasizes European topics relevant to epidemiology. The published articles consist of empirical research findings, developments in methodology, and opinion pieces.
期刊最新文献
Authors' reply regarding "Does tattoo exposure increase the risk of cutaneous melanoma: A population based case-control study". The Dutch cutaneous squamous cell carcinoma and metastasis (D-SQUAME) study: a nationwide discovery cohort and nationwide validation cohort with nested case-control designs for risk prediction modeling. Similarity in maternal and paternal cannabis associations reflect shared social and environmental influences on offspring outcomes. Pregnancy exposure to individual phthalate concentrations and their mixtures in relation to pediatric serum antibody response. No robust evidence supporting an association between tattoos and de-novo cutaneous melanoma.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1