title: Prevalence and correlates of depressive symptoms among United States adults with disabilities using assistive technology.
abstract: OBJECTIVE
  To estimate the prevalence of current depressive symptoms (CDS) among adults that reported disabilities requiring the use of assistive technology (AT) and those that did not, and to examine the sociodemographic, comorbidity, health behavior, and social support correlates of this condition in adults who use AT.
  
  
  METHODS
  Data from the 2006 Behavioral Risk Factor Surveillance System, a standardized telephone survey among U.S. adults, were analyzed (n=195,033). The Patient Health Questionnaire diagnostic algorithm was used to identify CDS.
  
  
  RESULTS
  AT users were significantly more likely than AT non-users to have CDS (age-standardized: 30.4% vs. 7.4%). Among AT users, there was a dose-response relationship between depression severity and increased prevalence of health conditions, obesity, smoking, and physical inactivity. In the full covariate logistic regression model, the strongest sociodemographic variables associated with CDS among AT users were age and employment status. Other variables strongly associated with CDS were lack of social support and anxiety.
  
  
  CONCLUSIONS
  An integrated approach to health care should be taken with adults who use AT. AT service providers, primary health care providers, and other care givers should be alert to the possibility of depression in AT users; and opportunities to prevent, detect, and treat depression among this population should not be missed.
authors.affiliation: Behavioral Surveillance Branch, Division of Adult and Community Health, National Center for Chronic Disease Prevention and Health Promotion, US Centers for Disease Control and Prevention, 4770 Buford Highway, NE, Mailstop K66, Atlanta, GA 30341, USA. Cokoro@cdc.gov
authors.forename: Catherine A
authors.initials: CA
authors.lastname: Okoro
authors.forename: Tara W
authors.initials: TW
authors.lastname: Strine
authors.forename: Lina S
authors.initials: LS
authors.lastname: Balluz
authors.forename: John E
authors.initials: JE
authors.lastname: Crews
authors.forename: Ali H
authors.initials: AH
authors.lastname: Mokdad
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D000465:Algorithms; D001008:Anxiety Disorders / Q000453:epidemiology; D002487:Centers for Disease Control and Prevention, U.S.; D015897:Comorbidity; D016001:Confidence Intervals; D003625:Data Collection; D003863:Depression / Q000453:epidemiology*; D006233:Persons with Disabilities / Q000706:statistics & numerical data*; D005260:Female; D015438:Health Behavior; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D016017:Odds Ratio; D015995:Prevalence; D011594:Psychometrics; D012307:Risk Factors; D012656:Self-Help Devices / Q000706:statistics & numerical data*; D013223:Statistics as Topic; D011795:Surveys and Questionnaires; D014481:United States / Q000453:epidemiology; D055815:Young Adult