The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Overview of Cotinine Cutoff Values for Smoking Status Classification
Open accessAbstract
While cotinine is commonly used as a biomarker to validate self-reported smoking status, the selection of an optimal cotinine cutoff value for distinguishing true smokers from true nonsmokers shows a lack of standardization among studies. This review describes how the cutoff values have been derived, and explains the issues involved in the generalization of a cutoff value. In this study, we conducted an English-language literature search in PubMed using the keywords “cotinine” and “cutoff” or “self-reported” and “smoking status” and “validation” for the years 1985–2014. We obtained 104 articles, 32 of which provided (1) sensitivity and specificity of a cutoff value and (2) determination methods for the given cutoff value. We found that the saliva cotinine cutoff value range of 10–25 ng/mL, serum and urine cotinine cutoff of 10–20 ng/mL and 50–200 ng/mL, respectively, have been commonly used to validate self-reported smoking status using a 2 × 2 table or a receiver operating characteristics (ROC) curve. We also found that recent large population-based studies in the U.S. and UK reported lower cutoff values for cotinine in serum (3 ng/mL) and saliva (12 ng/mL), compared to the traditionally accepted ones (15 and 14 ng/mg, respectively).
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Biochemical verification of tobacco use and cessation
Benowitz, N. L., III, P. J., Ahijevych, K., Jarvis, M. J., Hall, S., LeHouezec, J., Hansson, A., Lichtenstein, E., Henningfield, J., Tsoh, J., et al. (2002) · Nicotine & Tobacco Research · doi:10.1080/14622200210123581 · Cited by 1,800
Cotinine as a Biomarker of Environmental Tobacco Smoke Exposure
Benowitz, N. L. (1996) · Epidemiologic Reviews · doi:10.1093/oxfordjournals.epirev.a017925 · Cited by 1,024
Comparison of tests used to distinguish smokers from nonsmokers
Jarvis, M. J., Tunstall-Pedoe, H., Feyerabend, C., Vesey, C., & Saloojee, Y. (1987) · American Journal of Public Health · doi:10.2105/ajph.77.11.1435 · Cited by 994 · cited 2×
“For salivary cotinine, three studies [23,30,32] were conducted with participants in a smoking cessation clinical trial, while another study [27] was conducted with outpatients in a hospital in London.”
MethodPirkle, J. L. (1996) · JAMA · doi:10.1001/jama.275.16.1233 · Cited by 704
Benowitz, N. L., Bernert, J. T., Caraballo, R. S., Holiday, D. B., & Wang, J. (2009) · American Journal of Epidemiology · doi:10.1093/aje/kwn301 · Cited by 672
Metabolism of nicotine to cotinine studied by a dual stable isotope method
Benowitz, N. L., & Jacob, P. (1994) · Clinical Pharmacology and Therapeutics · doi:10.1038/clpt.1994.169 · Cited by 508
Warren, C., Jones, N., Eriksen, M., & Asma, S. (2006) · The Lancet · doi:10.1016/s0140-6736(06)68192-0 · Cited by 442
Biomarkers of environmental tobacco smoke exposure.
Benowitz, N. L. (1999) · Environmental Health Perspectives · doi:10.1289/ehp.99107s2349 · Cited by 408
Caraballo, R. S. (2001) · American Journal of Epidemiology · doi:10.1093/aje/153.8.807 · Cited by 396
Wagenknecht, L. E., Burke, G. L., Perkins, L. L., Haley, N. J., & Friedman, G. D. (1992) · American Journal of Public Health · doi:10.2105/ajph.82.1.33 · Cited by 374
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Performance of plasma trigonelline as a marker of coffee consumption in an epidemiologic setting
Midttun, Ø., Ulvik, A., Nygård, O., & Ueland, P. M. (2018) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqy059 · Cited by 50
Minatoya, M., Araki, A., Itoh, S., Yamazaki, K., Kobayashi, S., Miyashita, C., Sasaki, S., & Kishi, R. (2019) · Environmental Health and Preventive Medicine · doi:10.1186/s12199-019-0834-4 · Cited by 43
Zhang, Y., Mustieles, V., Sun, Y., Oulhote, Y., Wang, Y.-X., & Messerlian, C. (2022) · Environment International · doi:10.1016/j.envint.2022.107239 · Cited by 39
Trends in Vitamin C consumption in the United States: 1999-2018
Brauchla, M., Dekker, M. J., & Rehm, C. D. (2021) · Nutrients · doi:10.3390/nu13020420 · Cited by 35
Silva, A. I., Camelo, A., Madureira, J., Reis, A. T., Machado, A. P., Teixeira, J. P., & Costa, C. (2022) · Environmental Research · doi:10.1016/j.envres.2021.111827 · Cited by 13
Metadata
- Authors
- Kim, S.
- Venue
- International Journal of Environmental Research and Public Health
- Publisher
- MDPI AG
- Published
- 2016-12-14
- Volume
- 13
- Issue
- 12
- Pages
- 1236
- ISSN
- 1660-4601 (ISSN-L)
- OpenAlex
- W2564037959
- Cited by
- 304
- References
- 53
- FWCI
- 16.43
- Type
- journal article
- Language
- en
- Open access
- gold
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