BMJ Open (Oct 2021)

Cross-sectional study examining the accuracy of self-reported smoking status as compared to urinary cotinine levels among workers at risk for chronic kidney disease of unknown origin in Guatemala

  • Joaquin Barnoya,
  • Lee S Newman,
  • Jaime Butler-Dawson,
  • Stephen Brindley,
  • Lyndsay Krisher,
  • Wenyi Fan,
  • Claudia Asensio

DOI
https://doi.org/10.1136/bmjopen-2021-050374
Journal volume & issue
Vol. 11, no. 10

Abstract

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Objectives There is a lack of information on cotinine levels in rural populations in low-income and middle-income countries like Guatemala. Therefore, there is a need to explore smoking status and biomarkers of tobacco use in epidemiological research in rural, low-income populations, in particular those at-risk for chronic kidney disease of unknown origin (CKDu).Design We evaluated self-reported smoking status against urinary cotinine levels, the gold standard biomarker of tobacco smoke exposure, among agricultural workers at four separate cross-sectional time points.Setting Guatemala.Participants 283 sugarcane workers.Primary outcome measures Compared self-reported smoking status and urinary cotinine levels in two agricultural worker studies.Results Self-reported smoking prevalence was 12% among workers. According to cotinine levels (≥50 ng/mL), the smoking prevalence was 34%. Self-reported smoking status had 28% sensitivity and 96% specificity. Urinary cotinine levels show that smoking prevalence is underestimated in this worker population.Conclusions According to our findings, smoking status should be objectively measured with biomarkers rather than self-reported in CKDu epidemiological research. Self-reported smoking status is likely an underestimate of the true smoking prevalence among agricultural workers. Research on the CKDu epidemic in Central America and other parts of the world might be underestimating tobacco exposure as a potential contributor to the development of CKDu.