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Youth comorbidity as a function of affect, coping, and anxiety and depression symptoms
Descriptive
TitleInfo
Title
Youth comorbidity as a function of affect, coping, and anxiety and depression symptoms
Name
(type = personal)
NamePart
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Alvarez
NamePart
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Evan
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Evan Alvarez
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(authority = RULIB)
author
Name
(type = personal)
NamePart
(type = family)
Chu
NamePart
(type = given)
Brian
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Brian Chu
Affiliation
Advisory Committee
Role
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(authority = RULIB)
chair
Name
(type = personal)
NamePart
(type = family)
Wilson
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(type = given)
Terry
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Terry Wilson
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Advisory Committee
Role
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(authority = RULIB)
co-chair
Name
(type = personal)
NamePart
(type = family)
Farris
NamePart
(type = given)
Samantha
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Samantha Farris
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
co-chair
Name
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NamePart
Rutgers University
Role
RoleTerm
(authority = RULIB)
degree grantor
Name
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NamePart
School of Graduate Studies
Role
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school
TypeOfResource
Text
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theses
Genre
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ETD graduate
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2021
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2021-05
Language
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(authority = ISO 639-3:2007);
(type = text)
English
Abstract
(type = abstract)
Youth presenting with comorbid anxiety and depressive symptomatology are at higher risk for functional impairment and poorer clinical outcomes compared to youth meeting criteria for either disorder alone (Costello, Mustillo & Erkanli, 2003; Garber & Weersing, 2010). The tripartite model of anxiety and depression, which stipulates that both disorders share convergent and discriminant features of positive and negative affect, complements current models of comorbidity. Likewise, research on coping mechanisms has pointed to coping responses that are common to both anxiety and depression (rumination, avoidance; McLaughlin, & Nolen-Hoeksema, 2011; Chu et al., 2016; Roelofs et al., 2009) and others that are specific to either depression (disengagement; Evans et al., 2014) or to anxiety (physiological arousal, escape; Hedtke, Kendall, & Tiwari, 2009). However, little research has looked at both affective trait disposition (tripartite theory), coping styles to stress, and clinical severity as a way to understand the unique and common mechanisms that underlie anxiety and mood diagnoses. In order to determine whether such mechanisms were present, demographics, coping, affect and anxiety/depression symptoms were entered as predictors in a two-step binary logistic regression used to predict comorbid depression. The first set of analyses included demographics, affect and coping as predictors while the second set of analyses added anxiety and depression symptoms to rule out the possibility that comorbidity was related to clinical severity alone. Problem-solving (OR = -.19, 95% CI, .69-1.0) socioeconomic status (OR = -.22, 95% CI, .69-.95) and depression symptoms (OR = .21, 95% CI, 1.12-1.37) were significant in predicting comorbidity. Results did not indicate any predictive effects of affect on comorbid anxiety-depression. Findings from the study suggest that problem-solving and socioeconomic status may be important targets when considering treatment planning.
Subject
(authority = RUETD)
Topic
Psychology
Subject
(authority = LCSH)
Topic
Comorbidity
Subject
(authority = LCSH)
Topic
Depression, Mental
Subject
(authority = LCSH)
Topic
Anxiety
RelatedItem
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TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
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ETD
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ETD_11518
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application/pdf
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text/xml
Extent
1 online resource (iv, 48 pages)
Note
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M.S.
Note
(type = bibliography)
Includes bibliographical references
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School of Graduate Studies Electronic Theses and Dissertations
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rucore10001600001
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(displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier
(type = doi)
doi:10.7282/t3-xgks-fj25
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Rights
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The author owns the copyright to this work.
RightsHolder
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Name
FamilyName
Alvarez
GivenName
Evan
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Type
Permission or license
DateTime
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2021-02-18 12:49:44
AssociatedEntity
Name
Evan Alvarez
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Copyright holder
Affiliation
Rutgers University. School of Graduate Studies
AssociatedObject
Type
License
Name
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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ETD
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windows xp
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1.3
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2021-04-23T19:25:39
DateCreated
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(encoding = w3cdtf);
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2021-04-23T19:25:39
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