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Personalized Models of Social Anxiet...

Piccirillo, Marilyn L.

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Personalized Models of Social Anxiety Disorder and Depression.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Personalized Models of Social Anxiety Disorder and Depression./
Author:	Piccirillo, Marilyn L.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
Description:	74 p.
Notes:	Source: Dissertations Abstracts International, Volume: 82-04, Section: B.
Contained By:	Dissertations Abstracts International82-04B.
Subject:	Clinical psychology. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28091558
ISBN:	9798672177014

Personalized Models of Social Anxiety Disorder and Depression.
Piccirillo, Marilyn L.

Personalized Models of Social Anxiety Disorder and Depression. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 74 p.

Source: Dissertations Abstracts International, Volume: 82-04, Section: B.

Thesis (Ph.D.)--Washington University in St. Louis, 2020.

This item must not be sold to any third party vendors.

Social anxiety disorder (SAD) is an important risk factor for major depressive disorder (MDD) and together this comorbidity constitutes a highly impairing syndrome and vicious cycle of symptomatology, associated with tremendous health costs and societal burden. Despite much group-level research examining risk factor for MDD specifically, there is limited group and individual-level research evaluating how individuals with SAD transition into depressive episodes. Clinical and theoretical evidence suggests that each patient may exhibit a unique personalized pattern of risk factors. These idiographic patterns may contradict relationships seen at the group level. In this dissertation, women (N = 35) with SAD and a current or past major depressive episode were asked to complete brief surveys of their mood and emotional experience five times a day for a month via a smartphone application. These data were analyzed using idiographic analyses to construct individual-level models of each woman's mood. Additionally, a multilevel model was constructed to determine risk factors for daily levels of sadness on the group level. Overall, results largely supported study hypotheses. Most women's models demonstrated few statistically significant directed pathways predicting sadness, although the directed pathways that existed were different between women. Additionally, there was minimal overlap between the multilevel model and each individual-level model, providing evidence that relationships reflected in the individual-level models differed from the relationships elucidated at the group-level. Differences between the multilevel and individual-level models highlight the potential integration of idiographic methodology into clinical practice. Furthermore, nuances related to the multilevel methodology used here provide evidence as to how intensive longitudinal data can be used to improve upon group-level models of psychopathology. Implications for the use of intensive longitudinal data and idiographic analyses in clinical assessment and intervention are discussed.

ISBN: 9798672177014Subjects--Topical Terms:

524863
Clinical psychology.
Subjects--Index Terms:

Depression

Personalized Models of Social Anxiety Disorder and Depression.
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500 $a Advisor: Rodebaugh, Thomas L.
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520 $a Social anxiety disorder (SAD) is an important risk factor for major depressive disorder (MDD) and together this comorbidity constitutes a highly impairing syndrome and vicious cycle of symptomatology, associated with tremendous health costs and societal burden. Despite much group-level research examining risk factor for MDD specifically, there is limited group and individual-level research evaluating how individuals with SAD transition into depressive episodes. Clinical and theoretical evidence suggests that each patient may exhibit a unique personalized pattern of risk factors. These idiographic patterns may contradict relationships seen at the group level. In this dissertation, women (N = 35) with SAD and a current or past major depressive episode were asked to complete brief surveys of their mood and emotional experience five times a day for a month via a smartphone application. These data were analyzed using idiographic analyses to construct individual-level models of each woman's mood. Additionally, a multilevel model was constructed to determine risk factors for daily levels of sadness on the group level. Overall, results largely supported study hypotheses. Most women's models demonstrated few statistically significant directed pathways predicting sadness, although the directed pathways that existed were different between women. Additionally, there was minimal overlap between the multilevel model and each individual-level model, providing evidence that relationships reflected in the individual-level models differed from the relationships elucidated at the group-level. Differences between the multilevel and individual-level models highlight the potential integration of idiographic methodology into clinical practice. Furthermore, nuances related to the multilevel methodology used here provide evidence as to how intensive longitudinal data can be used to improve upon group-level models of psychopathology. Implications for the use of intensive longitudinal data and idiographic analyses in clinical assessment and intervention are discussed.
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