open access publication

Article, 2024

Validity of self-reported night shift work among women with and without breast cancer

Scandinavian Journal of Work, Environment & Health, ISSN 1795-990X, 0355-3140, Volume 50, 3, Pages 152-157, 10.5271/sjweh.4142

Contributors

Vestergaard, Jesper Medom 0000-0002-7435-6566 (Corresponding author) [1] [2] Haug, Jesper Nikolai Dietrich [2] Dalbøge, Annett 0000-0001-8657-1688 [2] [3] Bonde, Jens Peter Ellekilde 0000-0002-8181-3673 [4] Garde, Anne Helene 0000-0002-1553-2291 [5] [6] Hansen, Johnni 0000-0002-9342-2725 [7] Hansen, Åse Marie 0000-0002-4075-3918 [5] [6] Larsen, Ann Dyreborg 0000-0002-3587-2998 [6] Härmä, Mikko Ilmari 0000-0002-4816-8828 [8] Costello, Sadie [9] Kolstad, Henrik Albert 0000-0002-6535-4323 [2] [3]

Affiliations

  1. [1] Danish Ramazzini Center
  2. [NORA names: Other Hospitals; Hospital; Denmark; Europe, EU; Nordic; OECD];
  3. [2] Aarhus University Hospital
  4. [NORA names: Central Denmark Region; Hospital; Denmark; Europe, EU; Nordic; OECD];
  5. [3] Aarhus University
  6. [NORA names: AU Aarhus University; University; Denmark; Europe, EU; Nordic; OECD];
  7. [4] Bispebjerg and Frederiksberg Hospital
  8. [NORA names: Capital Region of Denmark; Hospital; Denmark; Europe, EU; Nordic; OECD];
  9. [5] University of Copenhagen
  10. [NORA names: KU University of Copenhagen; University; Denmark; Europe, EU; Nordic; OECD];

Abstract

OBJECTIVES: This study aimed to estimate the validity of self-reported information on ever-night shift work among women with and without breast cancer and illustrate the consequences for breast cancer risk estimates. METHODS: During 2015-2016, 225 women diagnosed with breast cancer and 1800 matched controls without breast cancer employed within the Danish hospital regions during 2007-2016 participated in a questionnaire-based survey. Their reported night shift work status was linked with objective payroll register day-by-day working hour data from the Danish Working Hour Database and the Danish Cancer Registry. For the breast cancer patients and their matched controls, we estimated sensitivity and specificity for ever-working night shifts using the payroll data as the gold standard. We also used quantitative bias analysis to estimate the impact on relative risk estimates for a hypothetical population. RESULTS: For breast cancer patients, we observed a sensitivity of ever-night shifts of 86.2% and a specificity of never-night shifts of 82.6%. For controls, the sensitivity was 80.6% and the specificity 83.7%. Odds ratio for breast cancer in a hypothetical population decreased from 1.12 [95% confidence interval (CI) 1.03-1.21] to 1.05 (95% CI 0.95-1.16) when corrected by the sensitivity and specificity estimates. CONCLUSION: This study shows that female breast cancer patients had slightly better recall of previous night shift work than controls. Additionally, both breast cancer patients and controls recalled previous never-night shift work with low specificity. The net effect of this misclassification is a small over-estimation of the relative breast cancer risk due to night shift work.

Keywords

Cancer Registry, Danish, Danish Cancer Registry, Danish Working Hour Database, analysis, bias analysis, breast, breast cancer, breast cancer patients, breast cancer risk estimation, cancer, cancer patients, cancer risk estimates, consequences, control, data, database, effect, estimation, female breast cancer patients, gold, gold standard, hospital region, hourly data, hourly database, hypothetical population, impact, information, low specificity, matched controls, misclassification, night, night shift work, night shift work status, night shifts, odds, odds ratio, over-estimation, patients, payroll, payroll data, population, quantitative bias analysis, questionnaire-based survey, ratio, recall, region, registry, relative risk estimates, risk, risk estimates, self-reported information, sensitivity, shift, shift work, shift work status, specificity, specificity estimates, standards, status, study, survey, validity, validity of self-reported information, women, work, work status, working hour data

Funders

  • NordForsk
  • National Institute for Occupational Safety and Health

Data Provider: Digital Science