title: Factors that influence characteristics of genetic biobanks.
abstract: OBJECTIVE
  To identify demographic differences between patients who choose participation and patients who choose nonparticipation in genetic biobanks, and to explore reasons for nonparticipation.
  
  
  METHODS
  Prospective study of hospitalized cardiovascular patients approached to participate in a genetic biobank, 300 nonparticipants and 299 participants, in the southwestern US.
  
  
  METHODS
  Reasons for nonparticipation were explored. Logistic regression was performed to determine if gender, race or ethnicity, or age predicted nonparticipation.
  
  
  RESULTS
  Race or ethnicity and age were significantly different between participants and nonparticipants, but gender was not. Blood-sample collection was the main reason for declining participation.
  
  
  CONCLUSIONS
  Minority and older adults were less likely to participate. Understanding reasons for nonparticipation in this group might aid in the development of methods used to obtain a diverse population in biobanks.
authors: University of Texas Health Science Center at Houston, School of Nursing, USA.
authors: Jennifer E
authors: JE
authors: Sanner
authors: Lorraine
authors: L
authors: Frazier
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D001800:Blood Specimen Collection / Q000009:adverse effects / Q000523:psychology; D002318:Cardiovascular Diseases / Q000523:psychology*; D030561:Databases, Nucleic Acid / Q000458:organization & administration; D005006:Ethnicity / Q000523:psychology; D005260:Female; D030661:Genetic Privacy; D007722:Health Knowledge, Attitudes, Practice; D006301:Health Services Needs and Demand; D006801:Humans; D007297:Inpatients / Q000523:psychology* / Q000706:statistics & numerical data; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D008960:Models, Psychological; D009042:Motivation; D015404:Nursing Methodology Research; D010342:Patient Acceptance of Health Care / Q000523:psychology* / Q000706:statistics & numerical data; D011446:Prospective Studies; D012372:ROC Curve; D012307:Risk Factors; D015206:Southwestern United States