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Population Assessment of Tobacco and Health (PATH) Study [United States] Biomarker Restricted-Use Files

Version
v7
Resource Type
Dataset : clinical data, survey data
Creator
  • United States Department of Health and Human Services. National Institutes of Health. National Institute on Drug Abuse
  • United States Department of Health and Human Services. Food and Drug Administration. Center for Tobacco Products
Other Title
  • PATH Study Biomarker RUF (Alternative Title)
  • Version 7 (Subtitle)
Collective Title
  • Population Assessment of Tobacco and Health (PATH) Study Series
Publication Date
2017-08-08
Publication Place
Ann Arbor, Michigan
Publisher
  • Inter-University Consortium for Political and Social Research
Funding Reference
  • United States Department of Health and Human Services. National Institutes of Health. National Institute on Drug Abuse
  • United States Department of Health and Human Services. Food and Drug Administration. Center for Tobacco Products
Language
English
Free Keywords
Schema: ICPSR
adults; assays; biomarkers; biospecimens; blood specimen collection; chewing tobacco; cigarettes; cigarillos; cigars; dissolvable tobacco; e-cigarettes; enzyme assays; filtered cigars; hookah; laboratory analysis; nicotine addiction; nicotine dependence; nicotine metabolites; nicotine replacement therapy; pipe tobacco; smokeless tobacco; snus pouches; tobacco products; tobacco use; urine specimen collection
Description
  • Abstract

    The Population Assessment of Tobacco and Health (PATH) Study is a collaboration between the National Institute on Drug Abuse (NIDA), National Institutes of Health (NIH), and the Center for Tobacco Products (CTP), Food and Drug Administration (FDA). The study was launched in 2011 to inform the FDA's tobacco regulatory activities under the Family Smoking Prevention and Tobacco Control Act (TCA). For Wave 1 (baseline), the PATH Study sampled over 150,000 mailing addresses across the United States to create a national sample of tobacco users and non-users, yielding interviews with 45,971 adult and youth respondents. 45,971 adults and youth constitute the first (baseline) wave, Wave 1, of data collected by this longitudinal cohort study. These 45,971 adults and youth along with 7,207 "shadow youth" (youth ages 9 to 11 sampled at Wave 1) make up the 53,178 participants that constitute the Wave 1 Cohort. Respondents are asked to complete an interview at each follow-up wave. Youth who turn 18 by the current wave of data collection are considered "aged-up adults" and are invited to complete the Adult Interview. Additionally, "shadow youth" are considered "aged-up youth" upon turning 12 years old, when they are asked to complete an interview after parental consent.At Wave 4, a probability sample of 14,098 adults, youth, and shadow youth ages 10 to 11 was selected from the civilian, noninstitutionalized population at the time of Wave 4. This sample was recruited from residential addresses not selected for Wave 1 in the same sampled PSUs and segments using similar within-household sampling procedures. This "replenishment sample" was combined for estimation and analysis purposes with Wave 4 adult and youth respondents from the Wave 1 Cohort who were in the civilian, noninstitutionalized population at the time of Wave 4. This combined set of Wave 4 participants, 52,731 participants in total, forms the Wave 4 Cohort.Please refer to the Restricted-Use Files User Guide that provides further details about children designated as "shadow youth" and the formation of the Wave 1 and Wave 4 Cohorts. Each adult respondent, who completed the interview at Wave 1, was asked to provide at least two biospecimens. Providing biospecimens was voluntary and was not a condition of participation. Respondents were asked to report their use of all nicotine-containing products during the 3-day period prior to the time of any biospecimen collection (Nicotine Exposure Questions (NEQs)) to facilitate interpretation of biomarker results. Of the 32,320 respondents who completed the adult interview at Wave 1, 21,801 (67.4 percent) provided a urine specimen and 14,520 (44.9 percent) provided a blood specimen. A sample of 11,522 adults who provided sufficient urine for the planned analyses were selected from a diverse mix of six tobacco product use groups representing never, current, and recent former (within 12 months) users of tobacco products. This group constitutes the Wave 1 Biomarker Core. Of the 11,522 adults, 7,159 also provided a blood specimen. All urine and blood specimens provided by the Wave 1 Biomarker Core were sent for laboratory analysis. Wave 1 Restricted-Use Biomarker Data Files (Biomarker RUF) consist of three different types of files: 2 Collection and NEQ files for Urine (DS1001) and Blood (DS1101); 2 Biomarker Weight files including variables for use in variance estimation for Urine (DS1021) and Blood (DS1121); 8 Urine Panels (DS1031 to DS1038), 4 Serum Panels (DS1131 to DS1134) and 1 Plasma Panel (DS1231) containing biomarker assay results.; For Wave 2, urine biospecimens were requested from the Wave 1 Biomarker Core. Respondents were also asked to complete the NEQs prior to biospecimen collection. The Wave 2 Biomarker RUF consists of three different types of files: 1 Collection and NEQ file for Urine (DS2001); 2 Biomarker Weight files including variables for use in variance estimation for Urine (DS2021) and F2PG2a (DS2022); 8 Urine Panels (DS2031 to DS2038) containing biomarker assay results.; For Wave 3, urine biospecimens were requested from the Wave 1 Biomarker Core. Respondents were also asked to complete the NEQs prior to biospecimen collection. The Wave 3 Biomarker RUF consists of three different types of files: 1 Collection and NEQ file for Urine (DS3001); 2 Biomarker Weight files including variables for use in variance estimation for Urine (DS3021 and DS3022); 6 Urine Panels (DS3032 to DS3037) containing biomarker assay results. Additional panel(s) will be added at a later date.; For Wave 4, urine biospecimens were requested from the Wave 1 Biomarker Core. Respondents were also asked to complete the NEQs prior to biospecimen collection. The Wave 4 Biomarker RUF consists of three different types of files: 1 Collection and NEQ file for Urine (DS4001); 2 Biomarker Weight files including variables for use in variance estimation for Urine (DS4021 and DS4022); 3 Urine Panels (DS4032, DS4033, DS4036) containing biomarker assay results. Additional panel(s) will be added at a later date.; References to the collection of biospecimens will be specified by the collected specimen, i.e., urine and (whole) blood. However, references to biomarker analyses and analytes will be specified by the type of matrix (serum, plasma, or urine) used for the analysis.
  • Abstract

    The Population Assessment of Tobacco and Health (PATH) Study is a longitudinal cohort study on tobacco use behavior, attitudes and beliefs, and tobacco-related health outcomes among an estimated 46,000 adults and youth in the United States. The study's primary objectives are to: Objective 1: Identify and explain between-person differences and within-person changes in tobacco-use patterns, including the rate and length of use by specific product type and brand, product/brand switching over time, uptake of new products, and dual- and poly-use of tobacco products (i.e., use of multiple products within the same time period and switching between multiple products).; Objective 2: Identify between-person differences and within-person changes in risk perceptions regarding harmful and potentially harmful constituents, new and emerging tobacco products, filters and other design features of tobacco products, packaging, and labeling; and identify other factors that may affect use, such as social influences and individual preferences.; Objective 3: Characterize the natural history of tobacco dependence, cessation, and relapse, including readiness and self-efficacy to quit, motivations for quitting, the number and length of quit attempts, and the length of abstinence related to various tobacco products.; Objective 4: Update the comprehensive baseline and subsequent waves of data on tobacco-use behaviors and related health conditions, including markers of exposure and tobacco-related disease processes identified from the collection and analysis of biospecimens, to assess between-person differences and within-person changes over time in health conditions potentially related to tobacco use, particularly with use of new and different tobacco products, including modified-risk tobacco products.; Objective 5: Assess associations between TCA-specific actions and tobacco-product use, risk perceptions and attitudes, use patterns, cessation outcomes, and tobacco-related intermediate endpoints (e.g., biomarkers of exposure and biomarkers related to disease). Analyses will attempt to account for other potential factors, such as demographics, local tobacco-control policies, and social, familial, and economic factors, that may influence the observed patterns.; Objective 6: Assess between-person differences and within-person changes over time in attitudes, behaviors, exposure to tobacco products, and related biomarkers among and within population sub-groups identified by such characteristics as race-ethnicity, gender, and/or age, or by risk factors, such as pregnancy or co-occurring substance use or mental health disorders.; Objective 7: To the extent to which sample sizes are sufficient, assess and compare samples of former and never users of tobacco products for between-person differences and within-person changes in relapse and uptake, risk perceptions, and indicators of tobacco exposure and disease processes.; Objective 8: Use data from the PATH Study's baseline and follow-up waves on tobacco-use behaviors, attitudes, and related health conditions, including potential markers of exposure and related disease processes identified from the analysis of biospecimens, to screen and subsample respondents for participation in formative and/or nested studies conducted during and after the PATH Study's waves of data and biospecimen collection.;
  • Methods

    The study used a four-staged stratified sampling design to sample over 150,000 mailing addresses, yielding a Wave 1 (baseline) sample of 45,971 respondents (32,320 adults and 13,651 youth). Tobacco users and non-users, ages 12 years and older and in the civilian non-institutionalized household population were eligible for participation in the PATH Study. Field interviewers invited each adult respondent to voluntarily provide biospecimens as part of the study. Respondents were invited to "self-collect" a urine sample. Consenting respondents received $25 for providing one or both samples. At Wave 1, adults consenting to provide a blood sample were scheduled for a blood draw appointment with a phlebotomist at the respondent's home. The respondent received $25 for their time during this activity. Specific details about specimen collection and storage are contained in Chapter 2 of the Biomarker Restricted-Use Files User Guide.
  • Methods

    The collection files for Urine (Wave 1: DS1001, Wave 2: DS2001, Wave 3: DS3001, Wave 4: DS4001) and Blood (Wave 1: DS1101, Wave 2 - Wave 4: N/A), contain data for the NEQs. Specifically, respondents are asked about their use of seven types of tobacco products: cigarettes, e-cigarettes, cigars (traditional, cigarillos, filtered), pipes, hookah, smokeless tobacco (snus pouches and other forms of smokeless tobacco), and dissolvable tobacco. They are also asked about their use of nicotine replacement therapies (NRT) such as a patch, gum, inhaler, pill, etc., and prescription drugs used for smoking cessation. Each section contains the same basic four questions: When was the product last used?; What time of day was the product last used?; What amount was used in the past 2 days?; Was the product most recently used the same brand mentioned during the original (main) interview? (only asked when the NEQs are given in addition to the main questionnaire - i.e., at blood collection or >4 hours after the main questionnaire) ; The Urine (Wave 1: DS1021, Wave 2: DS2021, Wave 3: DS3021 and DS3022, Wave 4: DS4021 and DS4022), F2PG2a (Wave 2:DS2022), and Blood (Wave 1: DS1121, Wave 2 - Wave 4: N/A) Biomarker Weight files contain: Complex design variables (stratum and cluster); Overall person weight; 100 replicate weights; Each Assay Panel for Urine (Wave 1: DS1031-DS1038, Wave 2: DS2031-DS2037, Wave 3: DS3032 - DS3037, Wave 4: DS4032, DS4033, DS4036), Serum (Wave 1: DS1131-DS1134, Wave 2 - Wave 4: N/A) and Plasma (Wave 1: DS1231, Wave 2 - Wave 4: N/A) contains the following information for each analyte included in the panel. Laboratory variables (e.g., date of analysis, run number, etc.); Imputed result value: The result value reported by the lab except results with values below the limit of detection (LOD) which are replaced with the LOD/(sqrt 2); Imputation flag: Designates which result values were below LOD; Comment codes/text that provide additional observations about the analyzed sample; Additional derived variables may also be included on some panels (e.g., total nicotine equivalents, etc.); See Appendix A of the Laboratory File Inventory for a list of chemical compounds analyzed within each of the panel codebooks for Wave 1 - Wave 4.
  • Methods

    ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes..
  • Methods

    Response Rates: A total of 32,320 adults completed an interview during Wave 1 of data collection. The collection rates of urine and blood provided by these 32,320 respondents were: Wave 1 urine specimen: 21,801; 67.4 percent; Wave 1 blood specimen: 14,520; 44.9 percent; Not all adults who provided a blood sample provided a urine sample, and some adults refused to provide both of the requested specimens. Table 2 in the Biomarker Restricted-Use Files User Guide gives a breakdown of the various combinations of samples provided by the 32,320 adult respondents. Among Wave 2 Adult Interview respondents, a subsample of continuing adults who provided urine at Wave 1 were asked to provide a urine specimen. Among the Wave 1 Biomarker Core, 9,996 completed a Wave 2 interview. The collection rate of urine specimens provided by the Wave 1 Biomarker Core at Wave 2 was 96.4 percent (a total of 9,640 collected). See the Laboratory File Inventory for more details. Among Wave 3 Adult Interview respondents, a subsample of continuing adults who provided urine at Wave 1 were asked to provide a urine specimen. Among the Wave 1 Biomarker Core, 9,462 completed a Wave 3 interview. The collection rate of urine specimens provided by the Wave 1 Biomarker Core at Wave 3 was 97.5 percent (a total of 9,227 collected). See the Laboratory File Inventory for more details. Among Wave 4 Adult Interview respondents, a subsample of continuing adults who provided urine at Wave 1 were asked to provide a urine specimen. Among the Wave 1 Biomarker Core, 8,817 completed a Wave 4 interview. The collection rate of urine specimens provided by the Wave 1 Biomarker Core at Wave 4 was 98 percent (a total of 8,641 collected). See the Laboratory File Inventory for more details.
  • Abstract

    Datasets:

    • DS0: Study-Level Files
    • DS1: Master Linkage File
    • DS1001: Wave 1: Urine Collection and NEQ Data
    • DS1021: Wave 1: Urine Biomarker Weights
    • DS1031: Wave 1: Urine Panel - Speciated Arsenic (AsSpec)
    • DS1032: Wave 1: Urine Panel - Enzymatic Urinary Creatinine (CREAU)
    • DS1033: Wave 1: Urine Panel - Metals (Metals)
    • DS1034: Wave 1: Urine Panel - Hydroxy Polycyclic Aromatic Hydrocarbons (PAH)
    • DS1035: Wave 1: Urine Panel - Tobacco-Specific Nitrosamines (TSNA)
    • DS1036: Wave 1: Urine Panel - Urinary Nicotine Metabolites (Cotinine and Hydroxycotinine) (UNICM)
    • DS1037: Wave 1: Urine Panel - Volatile Organic Compounds Metabolites (VOCM)
    • DS1038: Wave 1: Urine Panel - Oxidative Stress (F2PG2a)
    • DS1101: Wave 1: Blood Collection and NEQ Data
    • DS1121: Wave 1: Blood Biomarker Weights
    • DS1131: Wave 1: Serum Panel - Cotinine and Hydroxycotinine (SCOT)
    • DS1132: Wave 1: Serum Panel - High-Sensitivity C-Reactive Protein (hsCRP)
    • DS1133: Wave 1: Serum Panel - Interleukin 6 (IL6)
    • DS1134: Wave 1: Serum Panel - Soluble Intercellular Adhesion Module (sICAM)
    • DS1231: Wave 1: Plasma Panel - Fibrinogen Activity (Clauss) (Fibro)
    • DS2001: Wave 2: Urine Collection and NEQ Data
    • DS2021: Wave 2: Urine Biomarker Weights
    • DS2022: Wave 2: Urine Biomarker Weights - Oxidative Stress (F2PG2a) Weights
    • DS2031: Wave 2: Urine Panel - Speciated Arsenic (AsSpec)
    • DS2032: Wave 2: Urine Panel - Enzymatic Urinary Creatinine (CREAU)
    • DS2033: Wave 2: Urine Panel - Metals (Metals)
    • DS2034: Wave 2: Urine Panel - Hydroxy Polycyclic Aromatic Hydrocarbons (PAH)
    • DS2035: Wave 2: Urine Panel - Tobacco-Specific Nitrosamines (TSNA)
    • DS2036: Wave 2: Urine Panel - Urinary Nicotine Metabolites (Cotinine and Hydroxycotinine) (UNICM)
    • DS2037: Wave 2: Urine Panel - Volatile Organic Compounds Metabolites (VOCM)
    • DS2038: Wave 2: Urine Panel - Oxidative Stress (F2PG2a)
    • DS3001: Wave 3: Urine Collection and NEQ Data
    • DS3021: Wave 3: Urine Biomarker Weights - All-Waves Urine Weights
    • DS3022: Wave 3: Urine Biomarker Weights - Single-Wave Urine Weights
    • DS3032: Wave 3: Urine Panel - Enzymatic Urinary Creatinine (CREAU)
    • DS3033: Wave 3: Urine Panel - Metals (Metals)
    • DS3034: Wave 3: Urine Panel - Hydroxy Polycylic Aromatic Hydrocarbons (PAH)
    • DS3035: Wave 3: Urine Panel - Tobacco-Specific Nitrosamines (TSNA)
    • DS3036: Wave 3: Urine Panel - Urinary Nicotine Metabolites (Cotinine and Hydroxycotinine) (UNICM)
    • DS3037: Wave 3: Urine Panel - Volatile Organic Compounds Metabolites (VOCM)
    • DS4001: Wave 4: Urine Collection and NEQ Data
    • DS4021: Wave 4: Urine Biomarker Weights - All-Waves Urine Weights
    • DS4022: Wave 4: Urine Biomarker Weights - Single-Wave Urine Weights
    • DS4032: Wave 4: Urine Panel - Enzymatic Urinary Creatinine (CREAU)
    • DS4033: Wave 4: Urine Panel - Metals (Metals)
    • DS4036: Wave 4: Urine Panel - Urinary Nicotine Metabolites (Cotinine and Hydroxycotinine) (UNICM)
Temporal Coverage
  • Time period: 2013--2014
  • 2013 / 2014
  • Time period: 2014--2015
  • 2014 / 2015
  • Time period: 2015--2016
  • 2015 / 2016
  • Time period: 2016--2018
  • 2016 / 2018
  • Collection date: 2013-09-12--2014-12-14
  • 2013-09-12 / 2014-12-14
  • Collection date: 2014-10-23--2015-10-30
  • 2014-10-23 / 2015-10-30
  • Collection date: 2015-10-19--2016-10-23
  • 2015-10-19 / 2016-10-23
  • Collection date: 2016-12-01--2018-01-03
  • 2016-12-01 / 2018-01-03
Geographic Coverage
  • United States
Sampled Universe
Adult (age 18 and older) never, current, and recent former (within 12 months) users of tobacco products in the civilian, non-institutionalized household population of the United States at the time of Wave 1 (September 12, 2013 - December 14, 2014). Smallest Geographic Unit: None
Sampling
A four-stage stratified area probability sample design was used in the PATH Study, with a two-phase design for sampling adults at the final stage. At the first stage, a stratified sample of geographical primary sampling units (PSUs) was selected, in which a PSU is a county or group of counties. For the second stage, within each selected PSU, smaller geographical segments were formed and then a sample of these segments was drawn. At the third stage, the sampling frame consisted of the residential addresses located in these segments. The fourth stage selected adults and youth from the sampled households identified at these addresses, with varying sampling rates for adults by age, race, and tobacco use status. Adults were sampled in two phases - Phase 1 sampling used information provided in the household screener and Phase 2 sampling used information provided by the adult in the Phase 2 screener at the beginning of the adult instrument. A stratified probability subsample of 11,522 adults who completed the Wave 1 adult interview and provided sufficient urine for the planned analyses (independently of whether they provided a blood specimen) was selected from a diverse mix of tobacco product users. This group constitutes the Wave 1 Biomarker Core. Of these 11,522 adults, 7,159 also provided a blood specimen. All urine and blood specimens provided by the Wave 1 Biomarker Core were sent for laboratory analysis. Please consult the Biomarker Restricted-Use Files User Guide for additional details about the subsampling. Wave 2 was the first follow-up wave for participants in Wave 1. At Wave 2, the PATH Study completed 28,362 Adult Interviews, but only those in the Wave 1 Biomarker Core were asked to provide urine for lab analysis. Of those who provided urine samples, 9,012 were shipped for lab analysis. See the Laboratory File Inventory for more details. Wave 3 was the second follow-up wave for participants in Wave 1. At Wave 3, the PATH Study completed 28,148 Adult Interviews, but only those in the Wave 1 Biomarker Core were asked to provide urine for lab analysis. Of those who provided urine samples, 8,643 were shipped for lab analysis. See the Laboratory File Inventory for more details. Wave 4 was the third follow-up wave for participants in Wave 1. At Wave 4, the PATH Study completed 27,757 Adult interviews with Wave 1 Cohort respondents, but only those in the Wave 1 Biomarker Core were asked to provide urine for lab analysis. Of those who provided urine samples, 8,333 were shipped for lab analysis. See the Laboratory File Inventory for more details.
Collection Mode
  • audio computer-assisted self interview (ACASI)
  • computer-assisted personal interview (CAPI)
  • paper and pencil interview (PAPI)
Note
2020-08-17 Data and documentation for one additional Wave 2 Urine Panel Assay (DS2038) and accompanying weights (DS2022), one additional Wave 3 Urine Panel Assay (DS3034) have been added to the collection. In addition, data and documentation for the Wave 4 Urine Collection and NEQ (DS4001), two Wave 4 Urine Panel Weights (DS4021 and DS4022), and three Wave 4 Urine Panel Assays (DS4032, DS4033, and DS4036) have been added to the collection. Data and documentation for the Master Linkage File has also been updated to reflect these new data files.2020-06-22 Data and documentation for the Master Linkage File and two additional Wave 3 Urine Panel Assays (DS3035 and DS3037) have been added to the collection.2020-03-19 Data and documentation for the Master Linkage File has been updated.2020-03-05 Data and documentation for the Wave 3 Urine Collection and NEQ (DS3001), two Wave 3 Urine Panel Weights (DS3021 and DS3022), and three Wave 3 Urine Panel Assays (DS3032, DS3033, and DS3036) have been added to the collection.2019-11-05 Data and Documentation for the Wave 1 Urine Collection and NEQ (DS1001) and Wave 1 Blood Collection (DS1101) were updated to reflect withdrawn participants (indicated by Special Missing -97777). Documentation was updated for 508 compliance at this time. Dataset and corresponding documentation number-schemes have changed for Wave 1. Former DS1002 restructured to DS1021.; Former DS1003 restructured to DS1031.; Former DS1004 restructured to DS1032.; Former DS1005 restructured to DS1033.; Former DS1006 restructured to DS1034.; Former DS1007 restructured to DS1035.; Former DS1008 restructured to DS1036.; Former DS1009 restructured to DS1037.; Former DS1010 restructured to DS1038.; Former DS1102 restructured to DS1121.; Former DS1103 restructured to DS1131.; Former DS1104 restructured to DS1132.; Former DS1105 restructured to DS1133.; Former DS1106 restructured to DS1134.; Former DS1201 restructured to DS1231.; 2019-03-19 Data and documentation for the Wave 2 urine collection and NEQ (DS2001), urine biomarker weights (DS2021), and seven urine panel assays (DS2031 to DS2037) have been added to the collection. Additionally, the master linkage file (DS0001) has been updated.2019-02-01 Data and documentation for the Wave 1 VOCM urine panel (DS1009) and the master linkage file (DS0001) were updated for the collection.2018-10-01 2018-09-28 Data and documentation for five panel assays (F2PGa, hsCRP, IL6, siCAM, and Fibro) was added to the collection. Additionally, data and documentation for the master linkage file was updated. The respondent's local time zones were converted to Eastern Time and the variable R01R_A_URINE_LASTURINATION was recalculated. One case was corrected for variable R01R_A_URINE_NEQ_TDIFF.2018-05-01 The eight panel assay files were updated due to a modification in the derivation algorithm for the variables "R01R_A_XXXX_IMPFLAG". The text for this variable and that of "R01R_A_XXXX_RESULT_IMP" were updated to include a more detailed algorithm. Funding institution(s): United States Department of Health and Human Services. National Institutes of Health. National Institute on Drug Abuse. United States Department of Health and Human Services. Food and Drug Administration. Center for Tobacco Products.
Availability
Delivery
One or more files in this study are not available for download due to special restrictions; consult the study documentation to learn more on how to obtain the data.
Alternative Identifiers
  • 36840 (Type: ICPSR Study Number)
Relations
  • Is new version of
    DOI: 10.3886/ICPSR36840.v6
Publications
  • Bjurlin, Marc A., Matulewicz, Richard S., Roberts, Timothy R., Dearing, Bianca A., Schatz, Daniel, Sherman, Scott, Gordon, Terry, Shahawy, Omar El. Carcinogen biomarkers in the urine of electronic cigarette users and implications for the development of bladder cancer: A systematic review. European Urology Oncology.2020.
    • ID: 10.1016/j.euo.2020.02.004 (DOI)
  • Carroll, Dana M., Cigan, Shannon, Ikuemonisan, Joshua, Hammonds, Taylor, Stepanov, Irina, St.Helen, Gideon, Benowitz, Neal, Hatsukami, Dorothy K.. Relationships between race, gender, and spot urine levels of biomarkers of tobacco exposure vary based on how creatinine is handled in analyses. Nicotine and Tobacco Research.2020.
    • ID: 10.1093/ntr/ntaa117 (DOI)
  • Carroll, Dana M., Murphy, Sharon E., Benowitz, Neal L., Strasser, Andrew A., Kotlyar, Michael, Carmella, Steven G., McClernon, Francis J., Pacek, Lauren R., Dermody, Sarah S., Vandrey, Ryan G., Donny, Eric C., Hatsukami, Dorothy K.. Relationships between the nicotine metabolite ratio and a panel of exposure and effect biomarkers: Findings from two studies of U.S. commercial cigarette smokers. Cancer Epidemiology, Biomarkers and Prevention.29, (4), 871-879.2020.
    • ID: 10.1158/1055-9965.EPI-19-0644 (DOI)
  • Carroll, Dana, Murphy, Sharon, Benowitz, Neal, Strasser, Andrew, Kotlyar, Michael, Hecht, Stephen, Carmella, Steve, McClernon, Joe, Pacek, Lauren, Dermody, Sarah S., Vandrey, Ryan, Donny, Eric, Hatsukami, Dorothy. Relationships Between Nicotine Metabolite Ratio and a Panel of Exposure and Effect Biomarkers: Findings from Two Studies of U.S. Commercial Cigarette Smokers [poster]. Society for Research on Nicotine and Tobacco (SRNT) 26th Annual Meeting.New Orleans, LA. 2020.
  • Carroll, Dana, Stepanov, Irina, O'Connor, Richard, Luo, Xianghua, Cummings, Michael, Rees, Vaughan, Bickel, Warren, Shields, Peter, Hatsukami, Dorothy. Impact of Cigarette Filter Ventilation on Biomarkers of Tobacco-Related Exposure and Biological Effects and Perceptions of Harm. Society for Research on Nicotine and Tobacco (SRNT) 26th Annual Meeting.New Orleans, LA. 2020.
  • Chang, Joanne T., Vivar, Juan, Tam, Jamie, Christensen, Carol C., Das, Babita, van Bemmel, Dana M., Chang, Cindy M.. Biomarkers of Potential Harm Among Smokeless Tobacco Users in the PATH Study Wave 1 (2013-2014) - A Cross-Sectional Study [poster]. Society for Research on Nicotine and Tobacco (SRNT) 26th Annual Meeting.New Orleans, LA. 2020.
  • Cheng, Yu-Ching, Reyes-Guzman, Carolyn M., Christensen, Carol H, Rostron, Brian L., Edwards, Kathryn C., Wang, Lanqing, Feng, Jun, Jarrett, Jeffery M., Ward, Cynthia D., Xia, Baoyun, Kimmel, Heather L., Conway, Kevin, Leggett, Carmine, Taylor, Kristie, Lawrence, Charles, Niaura, Ray, Travers, Mark J, Hyland, Andrew, Hecht, Stephen S., Hatsukami, Dorothy K., Goniewicz, Maciej L., Borek, Nicolette, Blount, Benjamin C., van Bemmel, Dana M.. Biomarkers of exposure among adult smokeless tobacco users in the Population Assessment of Tobacco and Health Study (Wave 1, 2013-14). Cancer Epidemiology, Biomarkers and Prevention.29, (3), 659-667.2020.
    • ID: 10.1158/1055-9965.EPI-19-0766 (DOI)
  • Cohn, Amy, Amanda L. Johnson, Amanda L., Abudayyeh, Haneen S., Kurti, Allison, Coleman-Cowger, Victoria. Birth Outcomes Associated with E-Cigarette and None-Cigarette Tobacco Product Use During Pregnancy: An Examination of PATH Data Waves 1 Through 3. Society for Research on Nicotine and Tobacco (SRNT) 26th Annual Meeting.New Orleans, LA. 2020.
  • Das, Babita, Miller, Mollie, Hammad, Hoda, Hull, Lynn, Del Valle-Pinero, Arseima, Thakur, Sapna. Evaluating Nicotine Dependence and Patterns of Use in Exclusive Users of Tobacco Products Using a Potential Cotinine Level Threshold [poster]. Society for Research on Nicotine and Tobacco (SRNT) 26th Annual Meeting.New Orleans, LA. 2020.
  • De Jesus, Victor R., Bhandari, Deepak, Zhang, Luyu, Reese, Christopher, Capella, Kimberly, Tevis, Denise, Zhu, Wanzhe, Del Valle-Pinero, Arseima Y., Lagaud, Guy, Chang, Joanne T., Dana van Bemmel, Kimmel, Heather L., Sharma, Eva, Goniewicz, Maciej L., Hyland, Andrew, Blount, Benjamin C.. Urinary biomarkers of exposure to volatile organic compounds from the Population Assessment of Tobacco and Health Study Wave 1 (2013-2014). International Journal of Environmental Research and Public Health.17, (15), 54082020.
    • ID: 10.3390/ijerph17155408 (DOI)
  • De Jesus, Victor R., Bhandari, Deepak, Zhang, Luyu, Zhu, Wanzhe, Reese, Christopher, Capella, Kimberly, Milan, Daniel F., Tevis, Denise, van Bemmel, Dana, Del Valle-Pinero, Arseima Y., Lagaud, Guy, Chang, Joanne, Kimmel, Heather L., Sharma, Eva, Goniewicz, Maciej, Hyland, Andrew, Blount, Ben. Analysis of Urinary Biomarkers of Exposure to Volatile Organic Compounds from the Population Assessment of Tobacco and Health (PATH) Study (Wave 1) -Characterization of Tobacco Product Exposure [poster]. Society for Research on Nicotine and Tobacco (SRNT) 26th Annual Meeting.New Orleans, LA. 2020.
  • Holder, Cory, Adams, Aaron, McGahee, Ernest, Xia, Baoyun, Blount, Benjamin C., Wang, Lanqing. High-throughput and sensitive analysis of free and total 8-isoprostane in urine with isotope-dilution liquid chromatography-tandem mass spectrometry. ACS Omega.5, 10919-10926.2020.
    • ID: 10.1021/acsomega.0c00661 (DOI)
  • Kaplan, Bekir, Navas-Acien, Ana, Cohen, Joanna. Exposure to Manganese and Other Metals in Electronic Nicotine Delivery System (ENDS) Users in the PATH Study 2013-2014 [poster]. Society for Research on Nicotine and Tobacco (SRNT) 26th Annual Meeting.New Orleans, LA. 2020.
  • Lizhnyak, Pavel N., Noggle, Brendan, Edmiston, Jeffrey, Wei, Lai, Becker, Elizabeth, Black, Ryan, Sarkar, Mohamadi. Not All Dual Users of Cigarettes and E-Vapor Products Is the Same: Biomarkers and Tobacco Use Behavior in Subpopulations of Dual Users from the PATH Wave 1 Data [poster]. Society for Research on Nicotine and Tobacco (SRNT) 26th Annual Meeting.New Orleans, LA. 2020.
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Update Metadata: 2020-08-17 | Issue Number: 14 | Registration Date: 2020-03-05

United States Department of Health and Human Services. National Institutes of Health. National Institute on Drug Abuse; United States Department of Health and Human Services. Food and Drug Administration. Center for Tobacco Products (2017): Population Assessment of Tobacco and Health (PATH) Study [United States] Biomarker Restricted-Use Files. Version 7. Population Assessment of Tobacco and Health (PATH) Study Series. Version: v7. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/ICPSR36840.v7