Abstract A5: Structural equation modeling analysis associated with prostate cancer screening among Chinese American Men

Abstract Introduction: In Asian countries, the reported incidence rate and its subsequent mortality have been on the rise. Asian Americans have increased prostate cancer rates over those of Asians in their native lands. Chinese represent the largest ethnic group among Asian Americans, but there is l...

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Published in:Cancer epidemiology, biomarkers & prevention Vol. 19; no. 10_Supplement; p. A5
Main Authors: Ma, Grace X, Wang, Min Q., Gao, Wanzhen, Shive, Steven E., Toubbeh, Jamil I.
Format: Journal Article
Language:English
Published: 01-10-2010
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Summary:Abstract Introduction: In Asian countries, the reported incidence rate and its subsequent mortality have been on the rise. Asian Americans have increased prostate cancer rates over those of Asians in their native lands. Chinese represent the largest ethnic group among Asian Americans, but there is lack of studies regarding their behavior in prostate cancer (PCa) screening. The purpose of this community based study was to develop a structural equation model for factors contributing to prostate cancer screening among Chinese American men. Methods: A cross-sectional design included a sample of 163 Chinese men age 50 and older. The initial step involved use of confirmatory factor analysis. Structural equation model analyses were conducted on factors for prostate cancer screening. Results: Education, annual income, and health insurance status were significantly related to PCa screening. Those with less than a high school education, low annual incomes, and without health insurance were more likely to be “never screened” for PCa than those having more education, higher annual income, and health insurance. The path analysis findings also lent support for components of the Sociocultural Model and indicated that there was a positive and significant relationship between PCa screening and the enabling factors, between cultural factors and predisposing, enabling, and access/satisfaction with health care factors and between enabling factors and access/satisfaction with health care. Conclusions: The model highlights the significance that sociocultural factors play in relation to PCa screening and reinforces the need to assist Chinese men with poor English fluency in translation and awareness of PCa screening. Citation Information: Cancer Epidemiol Biomarkers Prev 2010;19(10 Suppl):A5.
ISSN:1055-9965
1538-7755
DOI:10.1158/1055-9965.DISP-10-A5