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Profiles of reactive transdiagnostic vulnerabilities among cigarette smokers

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TitleInfo
Title
Profiles of reactive transdiagnostic vulnerabilities among cigarette smokers
Name (type = personal)
NamePart (type = family)
Versella
NamePart (type = given)
Mark V.
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Mark V. Versella Jr.
Role
RoleTerm (authority = RULIB)
author
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Jr.
Name (type = personal)
NamePart (type = family)
Leyro
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Teresa
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Teresa Leyro
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Advisory Committee
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chair
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NamePart (type = family)
Rizvi
NamePart (type = given)
Shireen
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Shireen Rizvi
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Advisory Committee
Role
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internal member
Name (type = personal)
NamePart (type = family)
McCarthy
NamePart (type = given)
Danielle
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Danielle McCarthy
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
outside member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
School of Graduate Studies
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2018
DateOther (qualifier = exact); (type = degree)
2018-05
CopyrightDate (encoding = w3cdtf); (qualifier = exact)
2018
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
Among cigarette smokers, elevations in maladaptive transdiagnostic vulnerabilities, including distress intolerance (DI), anxiety sensitivity (AS), and experiential avoidance (EA) are associated with poorer outcomes across the course of use. A common mechanism underlying these outcomes is thought to be an increase in the frequency and intensity of negative affect elicited during nicotine use brought about by these elevations. Despite commonalities, to date no investigation has examined whether smokers can be characterized by latent subgroups of shared vulnerability profiles. To examine potential subgroups, a latent profile analysis (LPA) was conducted among a sample of treatment-seeking daily smokers (N = 435), with measures of DI, AS, and EA serving as indicators of class members, and demographic variables, smoking heaviness, motives, and expectancies serving as covariates. The initial model solution revealed that specific covariates exerted a direct effect on profile structure, necessitating a re-examination of the latent profile solution, including covariates that exhibited a significant pairwise association in the previous best-fitting model. The final model revealed a three-profile solution, wherein smokers were characterized primarily by Low EA (35.7% of the sample), Elevated EA (53.3%), or Elevated AS (11%). Individuals who endorsed smoking because of its addictive qualities were more likely to be members of the Elevated AS or Elevated EA profiles, relative to the Low EA profile. In addition, individuals of lower educational achievement were more likely to be members of the Elevated AS profile than the Elevated or Low EA profiles. Results provide preliminary evidence that treatment-seeking smokers exhibit discriminable transdiagnostic profiles, and that profiles are differentially related to demographics and smoking-specific outcomes.
Subject (authority = RUETD)
Topic
Psychology
Subject (authority = ETD-LCSH)
Topic
Smoking--Health aspects
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
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ETD
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ETD_8754
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electronic resource
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application/pdf
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text/xml
Extent
1 online resource (v, 34 p. : ill.)
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Mark V. Versella Jr.
RelatedItem (type = host)
TitleInfo
Title
School of Graduate Studies Electronic Theses and Dissertations
Identifier (type = local)
rucore10001600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T3T1574G
Genre (authority = ExL-Esploro)
ETD graduate
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Versella
GivenName
Mark
MiddleName
V.
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2018-04-04 17:49:42
AssociatedEntity
Name
MARK VERSELLA
Role
Copyright holder
Affiliation
Rutgers University. School of Graduate Studies
AssociatedObject
Type
License
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Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical

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2018-04-17T12:07:29
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2018-04-17T12:07:29
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