Multilevel Pathways of Colorectal Cancer Screening Among Low-Income Vietnamese Americans: A Structural Equation Modeling Analysis

2Citations
Citations of this article
35Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Background: Colorectal cancer (CRC) disproportionately affects Vietnamese Americans, especially those with low income and were born outside of the United States. CRC screening tests are crucial for prevention and early detection. Despite the availability of noninvasive, simple-to-conduct tests, CRC screening rates in Asian Americans, particularly Vietnamese Americans, remain suboptimal. The purpose of this study was to evaluate the interplay of multilevel factors – individual, interpersonal, and community – on CRC screening behaviors among low-income Vietnamese Americans with limited English proficiency. Methods: This study is based on the Sociocultural Health Behavior Model, a research-based model that incorporates 6 factors associated with decision-making and health-seeking behaviors that result in health care utilization. Using a community-based participatory research approach, we recruited 801 Vietnamese Americans from community-based organizations. We administered a survey to collect information on sociodemographic characteristics, health-related factors, and CRC screening-related factors. We used structural equation modeling (SEM) to identify direct and indirect predictors of lifetime CRC screening. Results: Bivariate analysis revealed that a greater number of respondents who never screened for CRC reported limited English proficiency, fewer years of US residency, and lower self-efficacy related to CRC screening. The SEM model identified self-efficacy (coefficient = 0.092, P

Cite

CITATION STYLE

APA

Ma, G. X., Zhu, L., Lin, T. R., Tan, Y., & Do, P. (2021). Multilevel Pathways of Colorectal Cancer Screening Among Low-Income Vietnamese Americans: A Structural Equation Modeling Analysis. Cancer Control, 28. https://doi.org/10.1177/10732748211011077

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free