title: Effect of tribal language use on colorectal cancer screening among American Indians.
abstract: American Indians have one of the lowest colorectal cancer (CRC) screening rates for any racial/ethnic group in the U.S., yet reasons for their low screening participation are poorly understood. We examine whether tribal language use is associated with knowledge and use of CRC screening in a community-based sample of American Indians. Using logistic regression to estimate the association between tribal language use and CRC test knowledge and receipt we found participants speaking primarily English were no more aware of CRC screening tests than those speaking primarily a tribal language (OR = 1.16 [0.29, 4.63]). Participants who spoke only a tribal language at home (OR = 1.09 [0.30, 4.00]) and those who spoke both a tribal language and English (OR = 1.74 [0.62, 4.88]) also showed comparable odds of receipt of CRC screening. Study findings failed to support the concept that use of a tribal language is a barrier to CRC screening among American Indians.
authors.affiliation: Department of Development Sociology, Cornell University, Ithaca, NY 14853, USA. aag27@cornell.edu
authors.forename: Angela A
authors.initials: AA
authors.lastname: Gonzales
authors.forename: Eva
authors.initials: E
authors.lastname: Garroutte
authors.forename: Thanh G N
authors.initials: TG
authors.lastname: Ton
authors.forename: Jack
authors.initials: J
authors.lastname: Goldberg
authors.forename: Dedra
authors.initials: D
authors.lastname: Buchwald
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D001130:Arizona / Q000453:epidemiology; D003113:Colonoscopy / Q000706:statistics & numerical data; D015179:Colorectal Neoplasms / Q000175:diagnosis*; D055088:Early Detection of Cancer / Q000706:statistics & numerical data*; D005260:Female; D007722:Health Knowledge, Attitudes, Practice / Q000208:ethnology; D006801:Humans; D007198:Indians, North American / Q000706:statistics & numerical data*; D007802:Language; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D012737:Sex Factors; D012959:Socioeconomic Factors