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pdfPopulation Assessment of Tobacco and Health (PATH) Study (NIDA)
Attachment 3
Crosswalk of PATH Study Objectives,
Data Sources,
Domains and Analysis
Crosswalk of PATH Study Objectives, Data Sources, Domains, and Analysis
Objective
Data Source
1. Identify and explain betweenperson differences and withinperson changes in tobacco-use
patterns.
Adult, Youth,
Parent,
Tobacco Use
Form,
Biospecimen
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.
Adult, Youth,
Parent
3. Characterize the natural history of
tobacco dependence, cessation,
and relapse.
Adult, Youth,
Parent,
Screener,
Tobacco Use
Form,
Biospecimen
Adult, Youth,
Parent,
Screener,
4. Update the comprehensive
baseline on tobacco-use behaviors
and related health conditions,
Domain / Questionnaire Component
Analysis
Demographics section, tobacco use
section, cigarette section, electronic
nicotine delivery system section, cigar
section, pipe section, hookah section,
snus section, smokeless section, poly use
section, nicotine dependence section,
secondhand smoke exposure section
Demographics section, tobacco use
section, cigarette section, electronic
nicotine delivery system section, cigar
section, pipe section, hookah section,
snus section, smokeless section, poly use
section, nicotine dependence section,
packaging and health warnings section,
product regulation, modified risk product
section, media use section, secondhand
smoke exposure section, social norms,
peer and family influences section,
marketing advertising and promotion
section
Demographics section, tobacco use
section, cigarette section, electronic
nicotine delivery system section, cigar
section, pipe section, hookah section,
snus section, smokeless section, poly use
section, nicotine dependence section
Demographics section, tobacco use
section, cigarette section, electronic
nicotine delivery system section, cigar
Examine the prevalence of each product
cross-sectionally and examine rates of
quitting, initiation, relapse and polyproduct use longitudinally overall and by
demographics and other subgroups
such as dependence and the presence
of comorbidities.
Examine the levels of risk perceptions of
different tobacco products crosssectionally and assess change
prospectively overall and by
demographics and other subgroups.
Longitudinally examine rates of quit
attempts, brand and product switching,
and actual cessation and relapse overall
and by subgroup.
Examine rates of adverse health
outcomes cross-sectionally and
compare between different types of
Objective
Data Source
Domain / Questionnaire Component
Analysis
including markers of exposure and
tobacco-related disease processes.
Data may also facilitate the
selection of individuals for
participation in small-scale research
studies (see
Objective 8).
5. Assess associations between
actions related to the Tobacco
Control Act and tobacco-product
use, risk perceptions and attitudes,
use patterns, cessation outcomes,
and tobacco-related intermediate
endpoints.
Tobacco Use
Form,
Biospecimen
section, pipe section, hookah section,
snus section, smokeless section, poly-use
section, nicotine dependence section,
secondhand smoke exposure section,
health section
tobacco product users / nonusers.
Longitudinally examine the rate of onset
of adverse health outcomes by
tobacco product user status (user,
recent quitter, product switcher, polyproduct user).
Adult, Youth,
Parent,
Screener,
Tobacco Use
Form,
Biospecimen
(All sections used)
6. Assess between-person differences
and within-person changes over
time in attitudes, behaviors,
exposures to tobacco products, and
related biomarkers among and
within population sub-groups
defined by racial-ethnic, gender,
age, and health risk factors.
7. 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.
Adult, Youth,
Parent,
Screener,
Tobacco Use
Form,
Biospecimen
Demographics sections, tobacco use
section, cigarette section, electronic
nicotine delivery system section, cigar
section, pipe section, hookah section,
snus section, smokeless section, poly use
section, nicotine dependence section,
social norms, peer and family influences
section, health section
(All sections used)
Utilize regulatory conceptual models to
identify changes in regulatory-specific
intermediate variables and behaviors
(see Attachment 4). When possible,
analyses will account for other potential
factors, such as demographics, other
tobacco control policies, and social,
familial, and economic factors, that may
influence the observed patterns.
This is essentially the analysis plan for
Objectives 1, 2, and 4 but broken down
by subgroup, including but not exclusive
of, race/ethnicity, gender, age, sexual
orientation and health status measures.
Adult, Youth,
Parent,
Screener,
Tobacco Use
Form,
Biospecimen
This is essentially the analysis plan for
Objectives 1, 2, and 4 but broken down
by subgroup; however, the main
subgroups of interest for this objective
are persons with different tobacco use
statuses (nonuser, users, poly-product
users and former users of each type of
product).
Objective
8. Use the PATH Study data as a basis
for screening respondents for
participation in small-scale research
studies by the PATH Study.
Data Source
Adult, Youth,
Parent,
Screener,
Tobacco Use
Form,
Biospecimen
Domain / Questionnaire Component
(All sections used)
Analysis
Specific types of participants may be of
interest for additional studies to address
this aim. For example, poly-tobacco
product users may be of interest for
more focused studies of changes in their
tobacco use behavior and predictors of
this change, and youth susceptible to
tobacco use would also be of interest to
track predictors of transition to regular
tobacco use by product. Persons with
certain health conditions may be of
interest for additional studies to better
assess correlates of changes in their
health status over time. These
respondents can be identified from the
PATH data as needed throughout the
study.
File Type | application/pdf |
File Title | PATH W4 Attachment 3 Draft 1 |
Author | Juliette Bowrin |
File Modified | 2016-04-01 |
File Created | 2016-04-01 |