Pathways Linking Census Tract Typologies with Subjective Neighborhood Disorder and Depressive Symptoms in the Black Women’s Experiences Living with Lupus (BeWELL) Study

Details

• Alternative Title:
  Health Place
• Personal Author:
  Martz, Connor D. ; Hunter, Evelyn A. ; Kramer, Michael R. ; Wang, Yijie ; Chung, Kara ; Brown, Michael ; Drenkard, Cristina ; Lim, S. Sam ; Chae, David H.
• Description:
  Depression is a common comorbidity among Black women with systemic lupus erythematosus (SLE), an understudied autoimmune disease characterized by major racial and gender inequities. Research is needed that examines how area-level factors influence risk of depression in this population. Latent profile analysis revealed four neighborhood typologies among metropolitan Atlanta, Georgia census tracts that participants (n=438) in the Black Women's Experiences Living with Lupus (BeWELL) Study were living in: Integrated/High-SES, Moderately Segregated/Mid-SES, Highly Segregated/Mid-SES, and Highly Segregated/Low-SES. Structural equation models indicated that highly segregated census tracts were associated with the greatest levels of depression via increased subjective assessments of neighborhood disorder. Policies that invest in segregated areas and address physical and social aspects of the environment that contribute to neighborhood disorder may promote mental health among Black women with SLE.
• Keywords:
  Censuses Depression Female Humans Latent Profile Analysis Lupus Erythematosus, Systemic Neighborhood Disorder Racial Residential Segregation Residence Characteristics Social Segregation Structural Racism Systemic Lupus Erythematosus

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• Source:
  Health Place. 70:102587
• Pubmed ID:
  34116496
• Pubmed Central ID:
  PMC8328917
• Document Type:
  Journal Article
• Funding:
  F31 AR076234/AR/NIAMS NIH HHSUnited States/ ; R01 AR065493/AR/NIAMS NIH HHSUnited States/ ; U01 DP006488/DP/NCCDPHP CDC HHSUnited States/
• Volume:
  70
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:b51a07783f76cbf07315efb0daa91b47b18d86a614f5ff50c0d471ff38a3b4f5
• Download URL:
  https://stacks.cdc.gov/view/cdc/135788/cdc_135788_DS1.pdf
• File Type:
  [PDF - 644.50 KB ]