Selection into Shift Work Is Influenced by Educational Attainment and Body Mass Index: A Mendelian Randomization Study in the UK Biobank

Details

• Personal Author:
  Daghlas I ; Dashti HS ; Lane JM ; Ollila HM ; Richmond RC ; Rutter MK ; Saxena R ; Schernhammer ES ; Smith GD ; Vetter C
• Description:
  Background: Shift work is associated with increased cardiometabolic disease risk. This observation may be partly explained by cardiometabolic risk factors having a role in the selection of individuals into or out of shift work. We performed Mendelian randomization (MR) analyses in the UK Biobank (UKB) to test this hypothesis. Methods: We used genetic risk scores (GRS) to proxy nine cardiometabolic risk factors and diseases (including educational attainment, body mass index (BMI), smoking, and alcohol consumption), and tested associations of each GRS with self-reported frequency of current shift work among employed UKB participants of European ancestry (n = 190 573). We used summary-level MR sensitivity analyses to assess robustness of the identified effects, and we tested whether effects were mediated through sleep timing preference. Results: Genetically instrumented liability to lower educational attainment (odds ratio (OR) per 3.6 fewer years in educational attainment = 2.40, 95% confidence interval (CI) = 2.22-2.59, P = 4.84 × 10-20) and higher body mass index (OR per 4.7 kg/m2 higher BMI = 1.30, 95% CI = 1.14-1.47, P = 5.85 × 10-5) increased odds of reporting participation in frequent shift work. Results were unchanged in sensitivity analyses allowing for different assumptions regarding horizontal pleiotropy. No selection effects were evident for the remaining exposures, nor for any exposures on selection out of shift work. Sleep timing preference did not mediate the effects of BMI and educational attainment on selection into shift work. Conclusions: Liability to lower educational attainment and higher BMI may influence selection into shift work. This phenomenon may bias epidemiological studies of shift work that are performed in the UKB. [Description provided by NIOSH]
• Subjects:
  Body Weight Education Epidemiology Occupational Health Risk Assessment Risk Factors Safety Sleep
• Keywords:
  Author Keywords: Body Mass Index BMI Body Mass Index Body Weight Cardiometabolic Disease Confounding Educational Attainment Genetic Factors Mendelian Randomization Obesity Risk Factors Shift Work Shift Workers UK Biobank Work Schedules

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• ISSN:
  0300-5771
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  Colorado ; Massachusetts ; OSHA Region 1 ; OSHA Region 8
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  50
• Issue:
  4
• NIOSHTIC Number:
  nn:20063295
• Citation:
  Int J Epidemiol 2021 Aug; 50(4):1229-1240
• Contact Point Address:
  Iyas Daghlas, Center for Genomic Medicine, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA
• Email:
  iyas_daghlas@hms.harvard.edu
• Federal Fiscal Year:
  2021
• Performing Organization:
  Brigham and Women's Hospital, Boston, Massachusetts
• Peer Reviewed:
  True
• Start Date:
  20160901
• Source Full Name:
  International Journal of Epidemiology
• End Date:
  20180831
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:14f1da914793b327c24df1d47edfb70b464f2038ab6838a1d6ee30b7d1500dba0246160a144603e86d73778294d1521f9e555f8b22367f0e861c66911d6ec04b
• Download URL:
  https://stacks.cdc.gov/view/cdc/226383/cdc_226383_DS1.pdf
• File Type:
  [PDF - 1.20 MB ]