Validity of self-reported exposure to shift work

Occup Environ Med. 2017 Mar;74(3):228-230. doi: 10.1136/oemed-2016-103902. Epub 2016 Sep 27.

Abstract

Objective: To evaluate the validity of widely used questionnaire items on work schedule using objective registry data as reference.

Method: A cohort study of hospital employees who responded to a self-administered questionnaire on work schedule in 2008, 2012 and 2014 and were linked to individual-level pay-roll-based records on work shifts. For predictive validity, leisure-time fatigue was assessed.

Results: According to the survey data in 2014 (n=8896), 55% of the day workers had at least 1 year of earlier shift work experience. 8% of the night shift workers changed to day work during the follow-up. Using pay-roll data as reference, questions on 'shift work with night shifts' and 'permanent night work' showed high sensitivity (96% and 90%) and specificity (92% and 97%). Self-reported 'regular day work' showed moderate sensitivity (73%), but high specificity (99%) and 'shift work without night shifts' showed low sensitivity (62%) and moderate specificity (87%). In multivariate logistic regression analysis, the age-adjusted, sex-adjusted and baseline fatigue-adjusted association between 'shift work without night shifts' and leisure-time fatigue was lower for self-reported compared with objective assessment (1.30, 95% CI 0.94 to 1.82, n=1707 vs 1.89, 95% CI 1.06 to 3.39, n=1627). In contrast, shift work with night shifts, compared with permanent day work, was similarly associated with fatigue in the two assessments (2.04, 95% CI 1.62 to 2.57, n=2311 vs 1.82, 95% CI 1.28 to 2.58, n=1804).

Conclusions: The validity of self-reported assessment of shift work varies between work schedules. Exposure misclassification in self-reported data may contribute to bias towards the null in shift work without night shifts.

Keywords: Methodology; speciality.

Publication types

  • Validation Study

MeSH terms

  • Bias
  • Cohort Studies
  • Fatigue
  • Female
  • Finland
  • Hospitals
  • Humans
  • Logistic Models
  • Male
  • Registries
  • Self Report / standards*
  • Surveys and Questionnaires / standards*
  • Work Schedule Tolerance*