The utility of cancer-related cultural constructs to understand colorectal cancer screening among African Americans
AbstractBackground. Data suggest that colorectal cancer could be cut by approximately 60% if all people aged 50 years or older received regular screening. Studies have identified socio-cultural attitudes that might inform cancer education and screening promotion campaigns. This article applies item response theory (IRT) to a set of survey items selected to assess sociocultural attitudes in order to determine how current measures may affect what we know about how these attitudes affect colorectal cancer screening (CRCS).
Design and Methods. A survey of colorectal cancer screening, screening attitudes and cultural beliefs was administered to 1021 African Americans – 683 women and 338 men, ages 50 to 75. Eligibility crite ria for participation included being born in the United States, self-identified African American male or female, age 50 to 75 years. The IRT analysis was performed on 655 individuals with complete data for the 43 observed variables.
Results. Twenty-nine items comprise the Multi-construct African American Cultural Survey (MAACS) that addresses seven cultural con- structs: mistrust/distrust, privacy, ethnic identity, collectivism, empowerment, and male gender roles. The items provide adequate information about the attitudes of the population across most levels of the constructs assessed. Among the sociocultural variables considered, empowerment (OR=1.078; 95% CI: 1.008, 1.151) had the strongest association with CRCS adherence and privacy showed promise.
Conclusions. The MAACS provides a fixed length questionnaire to assess African American CRCS attitudes, two new constructs that might assist in CRCS promotion, and a suggested focus for identification of additional constructs of interest.
PlumX Metrics provide insights into the ways people interact with individual pieces of research output (articles, conference proceedings, book chapters, and many more) in the online environment. Examples include, when research is mentioned in the news or is tweeted about. Collectively known as PlumX Metrics, these metrics are divided into five categories to help make sense of the huge amounts of data involved and to enable analysis by comparing like with like.
Copyright (c) 2013 Vetta L. Sanders Thompson, Alan Bugbee, John P. Meriac, Jenine K. Harris
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.