학술논문

Indicators of dependence for different types of tobacco product users: Descriptive findings from Wave 1 (2013–2014) of the Population Assessment of Tobacco and Health (PATH) study
Document Type
article
Source
Subject
Public Health
Health Sciences
Cancer
Tobacco Smoke and Health
Prevention
Clinical Research
Substance Misuse
Tobacco
Good Health and Well Being
Adult
Electronic Nicotine Delivery Systems
Humans
Psychometrics
Surveys and Questionnaires
Tobacco Products
Tobacco Use
Tobacco Use Disorder
Tobacco
Smokeless
Nicotine dependence
E-cigarette dependence
Poly-tobacco dependence
Item response theory
Medical and Health Sciences
Psychology and Cognitive Sciences
Substance Abuse
Biochemistry and cell biology
Pharmacology and pharmaceutical sciences
Epidemiology
Language
Abstract
Background and aimsWith no established standard for assessing tobacco dependence (TD) across tobacco products in surveys, the Population Assessment of Tobacco and Health (PATH) Study provides a unique platform for examining the psychometric properties and validity of multiple indicators of tobacco dependence across a range of tobacco products.ParticipantsA U.S. nationally representative sample from the 32,320 adult Wave 1 interviews with analyses focused on 14,287 respondents who were current established users of tobacco products.FindingsThis analysis confirms a single primary latent construct underlying responses to TD indicators for cigarettes, e-cigarettes, cigars, hookah, and smokeless tobacco products. Mutually exclusive past year tobacco-user groups included: cigarette only (n=8689), e-cigarette only (n=437), cigar only (traditional, cigarillo, or filtered) (n=706), hookah only (n=461), smokeless tobacco only (n=971), cigarette plus e-cigarette (n=709), and multiple tobacco product users (n=2314). Differential Item Functioning (DIF) analyses supported use of 16 of the 24 examined TD indicators for comparisons across tobacco users. With cigarette users as a reference (mean=0.0, SD=1.0), we observed a range of TD with hookah (mean=-1.71) and cigar (mean=-1.92) only users being the lowest, and cigarette plus e-cigarette product users being the highest (mean=0.35). Regression models including sociodemographic factors supported concurrent validity with increased product use frequency and TD among cigarette-only (p