title: Association Between Depressive Symptoms, Multiple Dimensions of Depression, and Elder Abuse: A Cross-Sectional, Population-Based Analysis of Older Adults in Urban Chicago.
abstract: OBJECTIVE
  Depression is conceptualized as both a risk factor for and a consequence of elder abuse; however, current research is equivocal. This study examined associations between elder abuse and dimensions of depressive symptoms in older adults.
  
  
  METHODS
  Participants were 10,419 older adults enrolled in theChicago Health and Aging Project (CHAP), a population-based study of older adults. Regression was used to determine the relationships between depressive symptoms, depression dimensions, and abuse variables.
  
  
  RESULTS
  Depressive symptoms were consistently associated with elder abuse. Participants in the highest tertile of depressive symptoms were twice as likely to have confirmed abuse with a perpetrator (odds ratio = 2.07, 95% confidence interval = [1.21, 3.52], p = .008). Elder abuse subtypes and depression dimensions were differentially associated.
  
  
  CONCLUSIONS
  These findings highlight the importance of routine depression screening in older adults as a component of abuse prevention and intervention. They also provide profiles of depressive symptoms that may more accurately characterize risk for specific types of abuse.
authors: Rush University, Chicago, IL, USA.
authors: Susan K
authors: SK
authors: Roepke-Buehler
authors: Northwestern University, Chicago, IL, USA.
authors: Melissa
authors: M
authors: Simon
authors: Rush University, Chicago, IL, USA xinqi_dong@rush.edu.
authors: XinQi
authors: X
authors: Dong
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D002641:Chicago / Q000453:epidemiology; D003430:Cross-Sectional Studies; D003863:Depression / Q000453:epidemiology* / Q000523:psychology*; D004552:Elder Abuse / Q000523:psychology* / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D008297:Male; D012307:Risk Factors; D014505:Urban Population / Q000706:statistics & numerical data
keywords: depression; depressive symptoms; elder abuse; population study; self-neglect