Por favor, use este identificador para citar o enlazar este ítem: http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/182
Selection into shift work is influenced by educational attainment and body mass index: A Mendelian randomization study
Iyas Daghlas
Celine Vetter
Rebecca C. Richmond
Jacqueline M. Lane
Hassan S. Dashti
Eva S. Schernhammer
George Davey Smith
Martin K Rutter
Richa Saxena
Hanna Ollila
Novel Coronavirus
Acceso Abierto
Atribución-NoComercial-SinDerivadas
10.1101/2020.03.10.20032698
Background: Shift work is associated with increased cardiometabolic disease risk, but whether this association is influenced by cardiometabolic risk factors driving selection into shift work is currently unclear. We addressed this question using Mendelian randomization (MR) in the UK Biobank (UKB). Methods: We created genetic risk scores (GRS) associating with nine cardiometabolic risk factors (including education, body mass index [BMI], smoking, and alcohol consumption), and tested associations of each GRS with self-reported current frequency of shift work and night shift work amongst employed UKB participants of European ancestry (n=190,573). We used summary-level MR sensitivity analyses and multivariable MR to probe robustness of the identified effects, and tested whether effects were mediated through sleep timing preference. Results: Genetically instrumented lower educational attainment and higher body mass index increased odds of reporting frequent shift work (odds ratio [OR] per 3.6 years [1-SD] decrease in educational attainment=2.40, 95% confidence interval [CI]=2.22-2.59, p=4.84 x 10-20; OR per 4.7kg/m2 [1-SD] increase in BMI=1.30, 95%CI=1.14-1.47, p=5.85 x 10-05). Results were unchanged in sensitivity analyses allowing for different assumptions regarding horizontal pleiotropy, and the effects of education and BMI were independent in multivariable MR. No causal effects were evident for the remaining factors, nor for any exposures on selection out of shift work. Sleep timing preference did not mediate any identified effects. Conclusions: Educational attainment and BMI may influence selection into shift work, which may have implications for epidemiologic associations of shift work with cardiometabolic disease. ### Competing Interest Statement C.V., during the conduct of the study, was a scientific advisory board member of Circadian Light Therapy Inc., and served as a paid consultant to the US Department of Energy outside the submitted work. ### Funding Statement R01 DK105072 (Saxena, Dashti, Vetter), R21OH011052 (Schernhammer, Vetter), R01 DK107859 (Dashti, Saxena), R01DK102696 (Saxena), MGH Research Scholar Fund (Saxena), Diabetes UK 17/0005700 (Rutter), The University of Manchester (Research Infrastructure Fund). RCR and GDS are members of the MRC Integrative Epidemiology Unit at the University of Bristol funded by the Medical Research Council (MM_UU_00011/1). RCR is a de Pass Vice Chancellor’s Research Fellow at the University of Bristol. ### Author Declarations All relevant ethical guidelines have been followed; any necessary IRB and/or ethics committee approvals have been obtained and details of the IRB/oversight body are included in the manuscript. Yes All necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived. Yes I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance). Yes I have followed all appropriate research reporting guidelines and uploaded the relevant EQUATOR Network research reporting checklist(s) and other pertinent material as supplementary files, if applicable. Yes The following data availability statement is made by the UK Biobank (https://www.ukbiobank.ac.uk/scientists-3/): "UK Biobank is an open access resource. The Resource is open to bona fide scientists, undertaking health-related research that is in the public good. Approved scientists from the UK and overseas and from academia, government, charity and commercial companies can use the Resource." Summary statistics used to generate the genetic instruments are all publicly available.
Cold Spring Harbor Laboratory Press
2020
Preimpreso
https://www.medrxiv.org/content/10.1101/2020.03.10.20032698v2
Inglés
VIRUS RESPIRATORIOS
Aparece en las colecciones: Artículos científicos

Cargar archivos:


Fichero Tamaño Formato  
Selection into shift work.pdf737.61 kBAdobe PDFVisualizar/Abrir