title: Existing data sets to support studies of dementia or significant cognitive impairment and comorbid chronic conditions.
abstract: BACKGROUND
  Dementia or other significant cognitive impairment (SCI) are often comorbid with other chronic diseases. To promote collaborative research on the intersection of these conditions, we compiled a systematic inventory of major data resources.
  
  
  METHODS
  Large data sets measuring dementia and/or cognition and chronic conditions in adults were included in the inventory. Key features of the resources were abstracted including region, participant sociodemographic characteristics, study design, sample size, accessibility, and available measures of dementia and/or cognition and comorbidities.
  
  
  RESULTS
  117 study data sets were identified; 53% included clinical diagnoses of dementia along with valid and reliable measures of cognition. Most (79%) used longitudinal cohort designs and 41% had sample sizes greater than 5000. Approximately 47% were European-based, 40% were US-based, and 11% were based in other countries.
  
  
  CONCLUSIONS
  Many high-quality data sets exist to support collaborative studies of the effects of dementia or SCI on chronic conditions and to inform the development of evidence-based disease management programs.
authors.affiliation: Betty Irene Moore School of Nursing, University of California-Davis, Sacramento, CA, USA; Health Services, School of Public Health, University of Washington, Seattle, WA, USA. Electronic address: janice.bell@ucdmc.ucdavis.edu.
authors.forename: Janice F
authors.initials: JF
authors.lastname: Bell
authors.affiliation: Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA.
authors.forename: Annette L
authors.initials: AL
authors.lastname: Fitzpatrick
authors.affiliation: Health Services, School of Public Health, University of Washington, Seattle, WA, USA; Health Promotion Research Center, Health Services, School of Public Health, University of Washington, Seattle, WA, USA.
authors.forename: Catherine
authors.initials: C
authors.lastname: Copeland
authors.affiliation: Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA.
authors.forename: Gloria
authors.initials: G
authors.lastname: Chi
authors.affiliation: Health Promotion Research Center, Health Services, School of Public Health, University of Washington, Seattle, WA, USA.
authors.forename: Lesley
authors.initials: L
authors.lastname: Steinman
authors.affiliation: Betty Irene Moore School of Nursing, University of California-Davis, Sacramento, CA, USA.
authors.forename: Robin L
authors.initials: RL
authors.lastname: Whitney
authors.affiliation: Psychiatry and Behavioral Sciences, School of Medicine, University of Washington, Seattle, WA, USA.
authors.forename: David C
authors.initials: DC
authors.lastname: Atkins
authors.affiliation: Department of Community and Behavioral Health, Colorado School of Public Health, University of Colorado, CO, USA.
authors.forename: Lucinda L
authors.initials: LL
authors.lastname: Bryant
authors.affiliation: Brigham and Women's Hospital, Boston, MA, USA; Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA.
authors.forename: Francine
authors.initials: F
authors.lastname: Grodstein
authors.affiliation: Group Health Research Institute, Seattle, WA, USA.
authors.forename: Eric
authors.initials: E
authors.lastname: Larson
authors.affiliation: Psychosocial and Community Health, School of Nursing, University of Washington, Seattle, WA, USA.
authors.forename: Rebecca
authors.initials: R
authors.lastname: Logsdon
authors.affiliation: Health Promotion Research Center, Health Services, School of Public Health, University of Washington, Seattle, WA, USA; Psychiatry and Behavioral Sciences, School of Medicine, University of Washington, Seattle, WA, USA.
authors.forename: Mark
authors.initials: M
authors.lastname: Snowden
mesh_terms: D002908:Chronic Disease; D003072:Cognition Disorders / Q000453:epidemiology*; D015897:Comorbidity; D003627:Data Interpretation, Statistical; D066264:Datasets as Topic; D003704:Dementia / Q000453:epidemiology*; D005060:Europe / Q000453:epidemiology; D006801:Humans; D020407:Internet; D014481:United States / Q000453:epidemiology
keywords: Chronic conditions; Cognitive impairment; Databases; Dementia; Multiple; Public health; Secondary Data analysis