| Literature DB >> 33896230 |
Grace X Ma1,2, Lin Zhu1, Timmy R Lin1, Yin Tan1, Phuong Do1.
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.Entities:
Keywords: Vietnamese Americans; cancer prevention; colorectal cancer screening; health care access; sociocultural health behavior model
Mesh:
Year: 2021 PMID: 33896230 PMCID: PMC8204627 DOI: 10.1177/10732748211011077
Source DB: PubMed Journal: Cancer Control ISSN: 1073-2748 Impact factor: 3.302
Figure 1.Sociocultural Health Behavior Model. Sociocultural Health Behavior Model, developed by the primary author was used in this study to explore factor impacting colorectal cancer screening among the target population. Note: Figure published in Ma GX, Wang MQ, Ma XS, Kim G, Toubbeh J, Shive S. The sociocultural health behavioral model and disparities in colorectal cancer screening among Chinese Americans. J Nurs Educ Pract. 2013;3(7):129-139. doi: 10.5430/jnep.v3n7p129. PMID: 25364475; PMCID: PMC4214268.
Sociodemographic and Health Behavior-Related Factors by Lifetime CRC Screening Status (Never screened vs. Screened), N = 801.
| Factor | Never screened (n = 607) n (%) or mean (sd) | Screened (n = 194) n (%) or mean (sd) |
|
|---|---|---|---|
| Gender | .04 (1), .84 | ||
| Female | 358 (58.98%) | 116 (59.79%) | |
| Male | 249 (41.02%) | 78 (40.21%) | |
| Age | 3.13 (2), .21 | ||
| 50-64 | 293 (48.27%) | 85 (43.81%) | |
| 65-74 | 193 (31.80%) | 75 (38.66%) | |
| 75 or older | 121 (19.93%) | 34 (17.53%) | |
| Years living in the US | 8.33 (1), .004 | ||
| <15 years | 206 (34.33%) | 44 (23.16%) | |
| 15 years or above | 394 (65.97%) | 146 (76.84%) | |
| English Speaking Proficiency | 9.52 (1), .002 | ||
| Not at all or not well | 565 (96.25%) | 173 (90.58%) | |
| Well/very well | 22 (3.75%) | 18 (9.42%) | |
| Income | 0.40 (1), .53 | ||
| Less than $20,000 | 372 (72.37%) | 123 (69.89%) | |
| $20,000 or more | 142 (27.63%) | 53 (30.11%) | |
| Education | 2.23 (1), .14 | ||
| High school or lower | 487 (82.82%) | 149 (78.01%) | |
| College or above | 101 (17.18%) | 42 (21.99%) | |
| Insurance Status | 2.13 (2), .35 | ||
| Medicaid/Medicare | 358 (66.05%) | 123 (68.72%) | |
| Private Insurance | 117 (21.59%) | 41 (22.91%) | |
| None | 67 (12.36%) | 15 (8.38%) | |
| Knowledge | 2.95 (.08) | 3.16 (.14) | -1.29 (799), .20 |
| Self-efficacy |
|
|
|
| Health belief | 3.52 (.06) | 3.48 (.10) | -.47 (799), .67 |
| Social norm | 3.37 (.04) | 3.49 (.07) | -1.61 (799), .11 |
Figure 2.Path Coefficients and Their Significance From the Structural Equation Modeling Analysis (N = 801). *P <.**P < .01;***P < .001 RMSEA: 0.028; CFI: 0.969; TLI: 0.89.