Validating Wave 1 (2014) Urinary Cotinine and TNE-2 Cut-points for Differentiating Wave 4 (2017) Cigarette Use from Non-use in the United States Using Data from the PATH Study

Author:

Edwards Kathryn C.1ORCID,Khan Asia1ORCID,Sharma Eva1ORCID,Wang Lanqing2ORCID,Feng June2ORCID,Blount Benjamin C.2ORCID,Sosnoff Connie S.2ORCID,Smith Danielle M.3ORCID,Goniewicz Maciej L.3ORCID,Pearson Jennifer4ORCID,Villanti Andrea C.5ORCID,Delnevo Cristine D.5ORCID,Bover-Manderski Michelle T.5ORCID,Hatsukami Dorothy K.6ORCID,Niaura Raymond7ORCID,Everard Colm89ORCID,Kimmel Heather L.8ORCID,Duffy Kara10ORCID,Rostron Brian L.10ORCID,Del Valle-Pinero Arseima Y.10ORCID,van Bemmel Dana M.10ORCID,Stanton Cassandra A.1ORCID,Hyland Andrew3ORCID

Affiliation:

1. 1Westat, Rockville, Maryland.

2. 2Centers for Disease Control and Prevention, Atlanta, Georgia.

3. 3Roswell Park Comprehensive Cancer Center, Buffalo, New York.

4. 4University of Nevada, Reno, Reno, Nevada.

5. 5Rutgers Biomedical and Health Sciences, Rutgers University, New Brunswick, New Jersey.

6. 6University of Minnesota, Minneapolis, Minnesota.

7. 7New York University, New York, New York.

8. 8Division of Epidemiology, Services, and Prevention Research, National Institute on Drug Abuse, Bethesda, Maryland.

9. 9Kelly Government Solutions, Rockville, Maryland.

10. 10Center for Tobacco Products, Food and Drug Administration, Silver Spring, Maryland.

Abstract

Abstract Background: Sex and racial/ethnic identity-specific cut-points for validating tobacco use using Wave 1 (W1) of the Population Assessment of Tobacco and Health (PATH) Study were published in 2020. The current study establishes predictive validity of the W1 (2014) urinary cotinine and total nicotine equivalents-2 (TNE-2) cut-points on estimating Wave 4 (W4; 2017) tobacco use. Methods: For exclusive and polytobacco cigarette use, weighted prevalence estimates based on W4 self-report alone and with exceeding the W1 cut-point were calculated to identify the percentage missed without biochemical verification. Sensitivity and specificity of W1 cut-points on W4 self-reported tobacco use status were examined. ROC curves were used to determine the optimal W4 cut-points to distinguish past 30-day users from non-users, and evaluate whether the cut-points significantly differed from W1. Results: Agreement between W4 self-reported use and exceeding the W1 cut-points was high overall and when stratified by demographic subgroups (0.7%–4.4% of use was missed if relying on self-report alone). The predictive validity of using the W1 cut-points to classify exclusive cigarette and polytobacco cigarette use at W4 was high (>90% sensitivity and specificity, except among polytobacco Hispanic smokers). Cut-points derived using W4 data did not significantly differ from the W1-derived cut-points [e.g., W1 exclusive = 40.5 ng/mL cotinine (95% confidence interval, CI: 26.1–62.8), W4 exclusive = 29.9 ng/mL cotinine (95% CI: 13.5–66.4)], among most demographic subgroups. Conclusions: The W1 cut-points remain valid for biochemical verification of self-reported tobacco use in W4. Impact: Findings from can be used in clinical and epidemiologic studies to reduce misclassification of cigarette smoking status.

Funder

National Institute on Drug Abuse

Publisher

American Association for Cancer Research (AACR)

Subject

Oncology,Epidemiology

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