A Descriptive Analysis of Shift Start-Time and Schedule by Industry

Details

• Personal Author:
  Quay BR
• Description:
  Introduction: Work schedule characteristics such as number of hours worked per week and the time a work shift begins can affect an individual's health. The American Community Survey (ACS), a large nationwide survey conducted by the U.S. Census Bureau, provides information on characteristics of an individual's work schedule. Understanding work schedule characteristics by industry would provide insights on which industries are more prone to unhealthy work arrangements and schedules. Methods: This descriptive analysis used 11 years of survey data (2007-2017) from the ACS to summarize certain work schedule characteristics by detailed industry and observe how these characteristics changed over time. Specifically, the average number of hours a worker worked per week by industry and distributional properties of shift start times by industry were analyzed across wage/salary income class. The ACS is a nationally representative survey conducted annually by the U.S. Census Bureau. The person-level information provided by the ACS, the survey's rolling sample design, and its large sample size provide a unique opportunity to take a detailed look at separate industries' work schedule characteristics. Additionally, the ACS has been used very little in occupational safety and health research. Results: Weights provided by the U.S. Census Bureau were used to estimate annual statistics at a nationally representative level, and the statistics were then appended to form a panel of industries using the Bureau's 2012 Industry Code (267 industries, comparable to North American Industry Classification System industries at the 4-digit level). Discussion: Not only does this descriptive analysis provide robust and detailed industry estimates, it also observes year-to-year change within each industry. Results enable researchers and decision-makers to identify industries that are experiencing - or trending toward - relatively unhealthy work schedules. This, in turn, points to opportunities for prevention. [Description provided by NIOSH]
• Subjects:
  Occupational Health Safety Shift Work Schedule
• Keywords:
  Community Based Long Work Hours Occupations Shift Work Shift Workers Work Schedules
• ISSN:
  1984-0063
• Document Type:
  Text
• Genre:
  Abstract or Summary
• Place as Subject:
  Idaho ; Ohio ; OSHA Region 10 ; OSHA Region 5
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  OD - Office of the Director
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  58
• Volume:
  12
• NIOSHTIC Number:
  nn:20058009
• Citation:
  Sleep Sci 2019 Aug; 12(Suppl 3):58
• Federal Fiscal Year:
  2019
• Peer Reviewed:
  True
• Source Full Name:
  Sleep Science
• Supplement:
  3
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:524d530c21c01cc216188625bc08b83b324cede9f9e60fb467023bf888e10d66f6257c21d4ce16279989b3593c80d45cfcef8d846bb74384ad0428bdcca72554
• Download URL:
  https://stacks.cdc.gov/view/cdc/215202/cdc_215202_DS1.pdf
• File Type:
  [PDF - 179.30 KB ]