The accuracy of self-reported smoking: A systematic review of the relationship between self-reported and cotinine-assessed smoking status
Abstract
Introduction Smoking is a leading cause of premature mortality and preventable morbidity. Surveillance is most often based on self-reported data, but studies have shown that self-reports tend to underestimate smoking status. Methods This study systematically reviewed the literature to measure the concordance between self-reported smoking status and smoking status determined through measures of cotinine in biological fluids. Four electronic databases were searched to identify observational and experimental studies on adult populations over the age of 18 years. Results Searching identified 67 studies that met the eligibility criteria and examined the relationship between self-reported smoking and smoking confirmed by cotinine measurement. Overall, the data show trends of underestimation when smoking prevalence is based on self-report and varying sensitivity levels for self-reported estimates depending on the population studied and the medium in which the biological sample is measured. Sensitivity values were consistently higher when cotinine was measured in saliva instead of urine or blood. Meta-analysis was not appropriate because of the substantial heterogeneity among the cutpoints used to define smokers and the poor reporting on outcomes of interest. Discussion Further research in this field would benefit from the standardization of cutpoints to define current smokers and the implementation of standard reporting guidelines to enhance comparability across studies. Accurate es…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Self-reported smoking prevalence is believed to be severely underestimating true smoking prevalence, especially in population subgroups or places where tobacco use may not be culturally acceptable.
“self-reported smoking prevalence is believed to be severely underestimating true smoking prevalence,72, 73, 74, 75 especially in population subgroups or places where tobacco use may not be culturally acceptable.”
Cites
Downs, S. H., & Black, N. (1998) · Journal of Epidemiology and Community Health · doi:10.1136/jech.52.6.377 · Cited by 8,252 · see citing works
Evaluating non-randomised intervention studies
Deeks, J., Dinnes, J., D'Amico, R., Sowden, A., Sakarovitch, C., Song, F., Petticrew, M., & Altman, D. (2003) · Health Technology Assessment · doi:10.3310/hta7270 · Cited by 2,907 · see citing works
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 · see citing works
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 · see citing works
Self-reported nicotine exposure and plasma levels of cotinine in early and late pregnancy
GEORGE, L., GRANATH, F., JOHANSSON, A. L. V., & CNATTINGIUS, S. (2006) · Acta Obstetricia Et Gynecologica Scandinavica · doi:10.1080/00016340600935433 · Cited by 192 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Reitsma, M. B., Fullman, N., Ng, M., Salama, J. S., Abajobir, A., Abate, K. H., Abbafati, C., Abera, S. F., Abraham, B., Abyu, G. Y., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)30819-x · Cited by 2,028 · see citing works
Addressing Current Criticism Regarding the Value of Self-Report Dietary Data
Subar, A. F., Freedman, L. S., Tooze, J. A., Kirkpatrick, S. I., Boushey, C., Neuhouser, M. L., Thompson, F. E., Potischman, N., Guenther, P. M., Tarasuk, V., et al. (2015) · The Journal of Nutrition · doi:10.3945/jn.115.219634 · Cited by 1,047 · see citing works
Selenium for preventing cancer
Vinceti, M., Filippini, T., Del Giovane, C., Dennert, G., Zwahlen, M., Brinkman, M., Zeegers, M. P., Horneber, M., D'Amico, R., & Crespi, C. M. (2018) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd005195.pub4 · Cited by 649 · see citing works
Disclosure of sensitive behaviors across self-administered survey modes: a meta-analysis
Gnambs, T., & Kaspar, K. (2015) · Behavior Research Methods · doi:10.3758/s13428-014-0533-4 · Cited by 422 · see citing works
Biospecimens and the ABCD study: Rationale, methods of collection, measurement and early data
Uban, K. A., Horton, M. K., Jacobus, J., Heyser, C., Thompson, W. K., Tapert, S. F., Madden, P. A. F., & Sowell, E. R. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.03.005 · Cited by 175 · see citing works
Lim, S., Lam, D. C.-L., Muttalif, A. R., Yunus, F., Wongtim, S., Lan, L. T. T., Shetty, V., Chu, R., Zheng, J., Perng, D.-W., et al. (2015) · Asia Pacific Family Medicine · doi:10.1186/s12930-015-0020-9 · Cited by 167 · see citing works
Middha, P., Weinstein, S. J., Männistö, S., Albanes, D., & Mondul, A. M. (2019) · Nicotine & Tobacco Research · doi:10.1093/ntr/nty115 · Cited by 104 · see citing works
Prenatal Cotinine Levels and ADHD Among Offspring
Sourander, A., Sucksdorff, M., Chudal, R., Surcel, H.-M., Hinkka-Yli-Salomäki, S., Gyllenberg, D., Cheslack-Postava, K., & Brown, A. S. (2019) · Pediatrics · doi:10.1542/peds.2018-3144 · Cited by 48 · see citing works
Combination Therapies for Smoking Cessation
Windle, S. B., Filion, K. B., Mancini, J. G., Adye-White, L., Joseph, L., Gore, G. C., Habib, B., Grad, R., Pilote, L., & Eisenberg, M. J. (2016) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2016.07.011 · Cited by 46 · see citing works
Sperm concentration and semen volume increase after smoking cessation in infertile men
Kulaksiz, D., Toprak, T., Tokat, E., Yilmaz, M., Ramazanoglu, M. A., Garayev, A., Sulukaya, M., Degirmentepe, R. B., Allahverdiyev, E., Gul, M., et al. (2022) · International Journal of Impotence Research · doi:10.1038/s41443-022-00605-0 · Cited by 43 · see citing works
Leviton, A. (2018) · Nutrients · doi:10.3390/nu10091152 · Cited by 27 · see citing works
Berg, C. J., Ajay, V. S., Ali, M. K., Kondal, D., Khan, H. M., Shivashankar, R., Pradeepa, R., Mohan, D., Fatmi, Z., Kadir, M. M., et al. (2015) · BMC Public Health · doi:10.1186/s12889-015-1817-z · Cited by 22 · see citing works
Weinberger, A. H., Streck, J. M., Pacek, L. R., & Goodwin, R. D. (2018) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.17m11945 · Cited by 20 · see citing works
High cotinine levels are persistent during the first days of life in newborn second hand smokers
Ivorra, C., García-Vicent, C., Ponce, F., Ortega-Evangelio, G., Fernández-Formoso, J. A., & Lurbe, E. (2014) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2013.10.017 · Cited by 18 · see citing works
- Authors
- Gorber, S. C., Schofield-Hurwitz, S., Hardt, J., Levasseur, G., & Tremblay, M.
- Affiliations
- Statistics Canada (CA)
- Venue
- Nicotine & Tobacco Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-01
- Volume
- 11
- Issue
- 1
- Pages
- 12-24
- ISSN
- 1462-2203 (ISSN-L)
- 1469-994X
- OpenAlex
- W2016893440
- Cited by
- 1,079
- References
- 5
- Citations by year
- 2026: 47 · 2025: 63 · 2024: 48 · 2023: 47 · 2022: 56 · 2021: 69 · 2020: 81 · 2019: 67 · 2018: 86 · 2017: 84 · 2016: 85 · 2015: 81 · 2014: 72 · 2013: 63 · 2012: 39
- FWCI
- 4.76
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nicotine & Tobacco Research (publishedVersion)
- PubMed (publishedVersion)
- HighWire Press Open Archive (submittedVersion)
- Funders
- Centers for Disease Control and Prevention
- Topics
- Health Sciences › Medicine › Physiology › Smoking Behavior and Cessation
- Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Chronic Obstructive Pulmonary Disease (COPD) Research
- Keywords
- self-reported smoking, cotinine, smoking status, measurement accuracy, saliva cotinine, urinary cotinine, sensitivity, tobacco surveillance
- MeSH terms
- Adult, Aged, Cotinine, Female, Humans, Male, Mass Screening, Middle Aged, Surveys and Questionnaires, Saliva, Self Disclosure, Sensitivity and Specificity, Smoking, Truth Disclosure, Biomarkers, Prevalence, Smoking Cessation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review