Table 2.
Multilevel survey logistics regression model identifying factors affecting breast cancer screening adherence.
| VARIABLE | Adjusted Odds Ratio (95 % CI) | p-value |
|---|---|---|
| Employer-based Health Promotion | ||
| In the past year, were health promotion programs made available to you by your employer? | ||
| No | 0.85 (0.15–4.79) | 0.86 |
| Yes | Reference | NA |
| Does your employer provide incentives to participate (in health promotion programs)? | ||
| No | 1.49 (0.28–7.79) | 0.64 |
| Yes | Reference | NA |
| Would you be interested in these types of health promotion programs? | ||
| No | 1.42 (0.35–5.79) | 0.62 |
| Yes | Reference | NA |
| Health care coverage | ||
| yes | 7.58 (2.89–19.88) | <0.001 |
| No | Reference | NA |
| Perceived risks and beliefs on cancer | ||
| It seems like everything causes cancer | ||
| Strongly disagree/Somewhat disagree | 2.99 (1.45–6.19) | <0.001 |
| Strongly agree/Somewhat agree | Reference | NA |
| There's not much you can do to lower your chances of getting cancer | ||
| Strongly disagree/Somewhat disagree | 0.53 (0.25–1.13) | 0.10 |
| Strongly agree/Somewhat agree | Reference | NA |
| When I think about cancer, I automatically think about death | ||
| Strongly disagree/Somewhat disagree | 0.78 (0.39–1.55) | 0.48 |
| Strongly agree/Somewhat agree | Reference | NA |
| Importance of Cancer Screening | ||
| Very important/somewhat important | 12.36 (2.26–67.47) | <0.05 |
| Not sure/no opinion | 2.02 (0.11–37.307) | 0.64 |
| Not important | Reference | NA |
| Compared to other people your age, how likely are you to get cancer in your lifetime? | ||
| Very unlikely/unlikely | 1.12 (0.40–3.70) | 0.73 |
| Neither likely/neither unlikely | 1.44 (0.60–3.42) | 0.41 |
| Very likely | Reference | NA |
| Trust doctors for medical information | ||
| Some/a lot | 2.41 (0.62–9.4) | 0.20 |
| Not at all/little | Reference | NA |
| Trust family or friends for medical information | ||
| Some/a lot | 0.88 (0.46–1.69) | 0.71 |
| Not at all/ little | Reference | NA |
| Socio-demographic factors | ||
| Ethnicity/Race | ||
| Hispanic | 2.50 (0.90–6.95) | 0.08 |
| Non-Hispanic Black | 2.36 (0.79–6.96) | 0.11 |
| Others | 1.27 (0.26–6.31) | 0.77 |
| Non-Hispanic White | Reference | NA |
| Income | ||
| $20,000-$49,999 | 0.62 (0.21–1.84) | 0.39 |
| $50,000-$74,999 | 0.44 (0.13–1.51) | 0.19 |
| $75,000-$99,999 | 1.00(0.26–3.87) | 1.00 |
| > $100,000 | 0.43 (0.11–1.64) | 0.21 |
| <$20,000 | Reference | NA |
| Marital status | ||
| Living as Married/Married | 1.42 (0.7–2.9) | 0.33 |
| Single/Widowed/Divorced/Separated | Reference | NA |
| Residency | ||
| Rural | 1.23 (0.52–2.94) | 0.63 |
| Urban | Reference | NA |
| Born in USA | ||
| Yes | 3.22 (0.37–28.09) | 0.29 |
| No | Reference | NA |
| Occupational status | ||
| Employed | 0.50 (0.14–1.82) | 0.29 |
| Unemployed/Homemaker/Student/Retired/Disabled/others | Reference | NA |
| Health and behavioral risks | ||
| Smoking | ||
| Former smoker | 0.63 (0.29–1.34) | 0.23 |
| Current smoker | 0.46 (0.16–1.3) | 0.15 |
| Never Smoked | Reference | NA |
| Underwent hormone replacement therapy | ||
| Yes | 1.65 (0.82–3.33) | 0.12 |
| No | Reference | NA |