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Genomic and Environmental Predictors of Psychopathology Under Stress
Genomic and Environmental Predictors of Psychopathology Under Stress
Genomic and Environmental Predictors of Psychopathology Under Stress

상세정보

자료유형  
 학위논문 서양
최종처리일시  
20250211153014
ISBN  
9798384045632
DDC  
150
저자명  
Cleary, Jennifer.
서명/저자  
Genomic and Environmental Predictors of Psychopathology Under Stress
발행사항  
[Sl] : University of Michigan, 2024
발행사항  
Ann Arbor : ProQuest Dissertations & Theses, 2024
형태사항  
70 p
주기사항  
Source: Dissertations Abstracts International, Volume: 86-04, Section: B.
주기사항  
Advisor: Sen, Srijan.
학위논문주기  
Thesis (Ph.D.)--University of Michigan, 2024.
초록/해제  
요약The overarching aim of this dissertation is to investigate independent and joint contributions of genetic factors and social environment in risk of psychopathology under a variety of stressful environments. In Study 1, we capitalize on recent advances in genomic technology and the measurement of social and environmental characteristics in two distinct populations to investigate gene x environment interactions in depressive symptoms. Here, we address the dissertation's Specific Aim 1: to test gene x environment interactions in predicting psychopathology under stress using polygenic risk scores for major depressive disorder (MDD). In Study 2, we characterize changes in depressive symptoms among frontline healthcare workers during the COVID-19 pandemic, and the associated changes in their work environments. Using causal mediation analysis, we address the dissertation's Specific Aim 2: to investigate trajectories of depressive symptoms during a global stressor, and identify potential sources of support for future intervention. In both studies, we apply advanced quantitative methods to large, longitudinal datasets to extend the literature on the potential causes of depressive symptoms. Taken together, these studies consider variability at the levels of genetics, individual and global psychosocial stressors, and interpersonal and institutional social support as they relate to the development of depressive symptoms. 
일반주제명  
Psychology
일반주제명  
Clinical psychology
일반주제명  
Mental health
일반주제명  
Social psychology
일반주제명  
Genetics
키워드  
Depression risk
키워드  
Social support
키워드  
Genomic technology
키워드  
Social environment
키워드  
COVID-19 pandemic
기타저자  
University of Michigan Psychology
기본자료저록  
Dissertations Abstracts International. 86-04B.
전자적 위치 및 접속  
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■1001  ▼aCleary,  Jennifer.
■24510▼aGenomic  and  Environmental  Predictors  of  Psychopathology  Under  Stress
■260    ▼a[Sl]▼bUniversity  of  Michigan▼c2024
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2024
■300    ▼a70  p
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  86-04,  Section:  B.
■500    ▼aAdvisor:  Sen,  Srijan.
■5021  ▼aThesis  (Ph.D.)--University  of  Michigan,  2024.
■520    ▼aThe  overarching  aim  of  this  dissertation  is  to  investigate  independent  and  joint  contributions  of  genetic  factors  and  social  environment  in  risk  of  psychopathology  under  a  variety  of  stressful  environments.  In  Study  1,  we  capitalize  on  recent  advances  in  genomic  technology  and  the  measurement  of  social  and  environmental  characteristics  in  two  distinct  populations  to  investigate  gene  x  environment  interactions  in  depressive  symptoms.  Here,  we  address  the  dissertation's  Specific  Aim  1:  to  test  gene  x  environment  interactions  in  predicting  psychopathology  under  stress  using  polygenic  risk  scores  for  major  depressive  disorder  (MDD).  In  Study  2,  we  characterize  changes  in  depressive  symptoms  among  frontline  healthcare  workers  during  the  COVID-19  pandemic,  and  the  associated  changes  in  their  work  environments.  Using  causal  mediation  analysis,  we  address  the  dissertation's  Specific  Aim  2:  to  investigate  trajectories  of  depressive  symptoms  during  a  global  stressor,  and  identify  potential  sources  of  support  for  future  intervention.  In  both  studies,  we  apply  advanced  quantitative  methods  to  large,  longitudinal  datasets  to  extend  the  literature  on  the  potential  causes  of  depressive  symptoms.  Taken  together,  these  studies  consider  variability  at  the  levels  of  genetics,  individual  and  global  psychosocial  stressors,  and  interpersonal  and  institutional  social  support  as  they  relate  to  the  development  of  depressive  symptoms. 
■590    ▼aSchool  code:  0127.
■650  4▼aPsychology
■650  4▼aClinical  psychology
■650  4▼aMental  health
■650  4▼aSocial  psychology
■650  4▼aGenetics
■653    ▼aDepression  risk
■653    ▼aSocial  support
■653    ▼aGenomic  technology  
■653    ▼aSocial  environment  
■653    ▼aCOVID-19  pandemic
■690    ▼a0621
■690    ▼a0622
■690    ▼a0347
■690    ▼a0369
■690    ▼a0451
■71020▼aUniversity  of  Michigan▼bPsychology.
■7730  ▼tDissertations  Abstracts  International▼g86-04B.
■790    ▼a0127
■791    ▼aPh.D.
■792    ▼a2024
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17164536▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.

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