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The effect of behavioral and socioeconomic factors on health-related quality of life among adults with depressive disorder in the United States

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TitleInfo
Title
The effect of behavioral and socioeconomic factors on health-related quality of life among adults with depressive disorder in the United States
Name (type = personal)
NamePart (type = family)
Farhah
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Nesren
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1983-
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Nesren Farhah
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RoleTerm (authority = RULIB)
author
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Srinivisan
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Shankar
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Shankar Srinivisan
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Advisory Committee
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chair
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Coffman
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Frederick
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Frederick Coffman
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Advisory Committee
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internal member
Name (type = personal)
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Mital
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Dinesh
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Dinesh Mital
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Advisory Committee
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internal member
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NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
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NamePart
School of Health Professions
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school
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Text
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theses
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2020
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2020-01
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2020
Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
Abstract (type = abstract)
Background: Depressive disorder is a significant public health problem that is related to higher rates of chronic disease, increased health care utilization, and impaired functioning (Katon, 2003). Previous studies of health-related quality of life and depressive disorder have relied on measuring the score of health-related quality of life (HRQoL) among patients with depressive disorder. This research expands upon the previous work and designed to determine and measure the impact of socioeconomic and behavioral factors associated with depressive disorder on HRQoL among adults aged 18 and older.

Objectives: This study aims to determine and measure the effect of significant behavioral factors such as smoking, alcohol use, exercise, and hours of sleep and socioeconomic factors such as education level, marital status, employment status, and income level on HRQOL outcomes that include activity limitation, physical health problems, and mental health problems among adults with depressive disorder in the United States.

Methods: The data used in this study was obtained from 2014 Behavioral Risk Factor Surveillance System (BRFSS). The sample size consists of 88,233 patients including male and female aged 18 and older. Statistical Analysis System Software (SAS) 9.4 was employed to analyze the data. Both descriptive and inferential analyses were performed to examine the data distributions, sample metrics and associations among the studied variables. Furthermore, predictive analysis, namely logistic regression modeling, was conducted to predict and define the relation between the behavioral and socioeconomic factors and HRQoL outcomes.

Result: The present study found that depressive disorder has a statistically significant association with health-related quality of life. Adults with depressive disorder have higher chance of having activity limitation by 80.84%, physical health problems by 75.70%, and mental health problems by 87.99% than other adults with no depressive disorder. One of the major negative behavioral factors was smoking status. Depressive disorder patients with positive smoking stats have higher chance of having activity limitation by 59.10%, physical health problems by 55.89%, and mental health problems by 59.77% than others with negative smoking status. In addition, the most negative socioeconomic factors that has a great effect on HRQoL among depressive disorder patients is low income level. According to the result of this study, depressive disorder patients with low income level had higher chance of having activity limitation by 66.74%, physical health problems by 63.38%, and mental health problems by 60.11% than depressive disorder patients with high income level. The result of this study showed that all investigated behavioral and socioeconomic factors have a statistically significant effect on health-related quality of life among adults with depressive disorder.

Conclusion: There is a significant relationship between depressive disorder and health-related quality of life among adults. This relation comes from the impact of depression on individual’s satisfaction with life and well-being. Measuring and assessing the association between these depressive disorder associated behavioral and socioeconomic factors and health-related quality of life would be critical for planning and conducting related clinical trials, important for improving patients’ quality of care, and for providing information for the policymaker and the public alike.
Subject (authority = RUETD)
Topic
Biomedical Informatics
Subject (authority = local)
Topic
Depressive disorder
Subject (authority = LCSH)
Topic
Depression, Mental -- Patients -- Social aspects -- United States
RelatedItem (type = host)
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Title
Rutgers University Electronic Theses and Dissertations
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ETD
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ETD_10431
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application/pdf
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text/xml
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1 online resource (vi, 99 pages) : illustrations
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
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School of Health Professions ETD Collection
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rucore10007400001
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NjNbRU
Identifier (type = doi)
doi:10.7282/t3-9kdd-cn04
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Farhah
GivenName
Nesren
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Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2019-12-02 23:25:51
AssociatedEntity
Name
Nesren Farhah
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Copyright holder
Affiliation
Rutgers University. School of Health Professions
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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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2019-12-16T03:29:02
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2019-12-16T03:29:02
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