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. 1995 Feb;4(2):145-52.
doi: 10.1001/archfami.4.2.145.

Understanding knowledge and attitudes about breast cancer. A cultural analysis

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Free article

Understanding knowledge and attitudes about breast cancer. A cultural analysis

L R Chavez et al. Arch Fam Med. 1995 Feb.
Free article

Abstract

Objective: To evaluate knowledge and attitudes about breast cancer risk factors among Latinas, Anglo-American women, and physicians.

Design: Ethnographic interviews employing systematic data collection methods.

Participants: Twenty-eight Salvadoran immigrants, 39 Mexican immigrants, 27 Chicanas, and 27 Anglo-American women selected through an organization-based network sampling and a convenience sample of 30 primary care physicians in Orange County, Calif.

Main outcome measures and results: Data analysis using qualitative content analysis and quantitative cultural consensus analysis, a mathematical technique that determines the degree of shared knowledge within groups and estimates "culturally correct" answers (cultural models), was employed. The content analysis revealed different beliefs about breast cancer risk factors, particularly between the Latinas and the physicians. The cultural consensus analysis found two broad cultural models (defined as groups with ratios between the first and second eigenvalues of > or = 3 and no negative competency scores). A Latina model (ratio = 3.4), formed by the Salvadorans, Mexicans, and Chicanas, emphasized breast trauma and "bad" behaviors, including drinking alcohol and using illegal drugs as risk factors. A biomedical model (ratio = 3.0), embraced by physicians and Anglo-American women, emphasized risk factors described in the medical literature, such as family history and age. Within these broad models, each group of respondents also differed enough in their beliefs to form their own, often stronger, cultural models.

Conclusions: Ethnography can provide important insights about culturally based knowledge and attitudes about disease. An understanding of the distinctive cultural models regarding breast cancer risk factors will aid future cancer control interventions.

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