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Does family communication matter? Exploring knowledge of breast cancer genetics in cancer families.
Himes, Deborah O; Davis, Sarah H; Lassetter, Jane H; Peterson, Neil E; Clayton, Margaret F; Birmingham, Wendy C; Kinney, Anita Y.
Afiliação
  • Himes DO; College of Nursing, Brigham Young University, 500 Spencer W. Kimball Tower, Provo, UT, USA. Deborah-himes@byu.edu.
  • Davis SH; College of Nursing, Brigham Young University, 500 Spencer W. Kimball Tower, Provo, UT, USA.
  • Lassetter JH; College of Nursing, Brigham Young University, 500 Spencer W. Kimball Tower, Provo, UT, USA.
  • Peterson NE; College of Nursing, Brigham Young University, 500 Spencer W. Kimball Tower, Provo, UT, USA.
  • Clayton MF; College of Nursing, University of Utah, 10 South 2000 East, Salt Lake City, UT, 84112, USA.
  • Birmingham WC; Department of Psychology, Brigham Young University, 1054 Spencer W. Kimball Tower, Provo, UT, 84604, USA.
  • Kinney AY; Department of Epidemiology - School of Public Health, Rutgers University, Piscataway, NJ, 08854, USA.
J Community Genet ; 10(4): 481-487, 2019 Oct.
Article em En | MEDLINE | ID: mdl-30877488
ABSTRACT
Knowledge of breast cancer genetics is critical for those at increased hereditary risk who must make decisions about breast cancer screening options. This descriptive study explored theory-based relationships among cognitive and emotional variables related to knowledge of breast cancer genetics in cancer families. Participants included first-degree relatives of women with breast cancer who had received genetic counseling and testing. Study participants themselves did not have breast cancer and had not received genetic counseling or testing. Data were collected by telephone interviews and surveys. Variables analyzed included numeracy, health literacy, cancer-related distress, age, education, and the reported amount of information shared by the participants' family members about genetic counseling. The multiple regression model explained 13.9% of variance in knowledge of breast cancer genetics (p = 0.03). Best fit of the multiple regression model included all variables except education. Reported amount of information shared was the only independently significant factor associated with knowledge (ß = 0.28, p = 0.01). Participants who reported higher levels of information shared by a family member about information learned during a genetic counseling session also demonstrated increased knowledge about breast cancer genetics.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article