Table 4.
Logistic regression models for predicting knowledge of cardiovascular (CV) risk factors: socioeconomic predictors of patient knowledge of CV risk factors in 2008 and 2014.
| Probability of citing at least three risk factors |
Probability of citing smoking as a risk factora |
Probability of citing diabetes as a risk factorb |
||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2008/2009 |
2013/2014 |
2008/2009 |
2013/2014 |
2008/2009 |
2013/2014 |
|||||||
| OR | CI 95% | OR | CI 95% | OR | CI 95% | OR | CI 95% | OR | CI 95% | OR | CI 95% | |
| Age, years | ||||||||||||
| 54 and younger | 1.67 | (0.83–3.34) | 2.11 | (1.41–3.14) | 1.59 | (1.03–2.45) | 3.26 | (2.00–5.29) | 0.98 | (0.37–2.58) | 1.91 | (1.20–3.02) |
| 55–64 | 2.29 | (1.31–4.00) | 2.00 | (1.45–2.77) | 1.67 | (1.17–2.39) | 1.41 | (1.01–1.97) | 1.28 | (0.65–2.52) | 1.29 | (0.87–1.89) |
| 65–74 | 1.28 | (0.74–2.23) | 1.65 | (1.24–2.19) | 1.21 | (0.88–1.66) | 1.44 | (1.08–1.90) | 0.75 | (0.39–1.45) | 1.35 | (0.97–1.88) |
| 75 and older | ref. | ref. | ref. | ref. | ref. | ref. | ||||||
| Sex | ||||||||||||
| Female | 0.71 | (0.43–1.19) | 1.15 | (0.89–1.49) | 0.92 | (0.69–1.24) | 0.79 | (0.60–1.03) | 1.06 | (0.57–1.95) | 1.11 | (0.82–1.51) |
| Male | ref. | ref. | ref. | ref. | ref. | ref. | ||||||
| Education | ||||||||||||
| Primary | ref. | ref. | ref. | ref. | ref. | ref. | ||||||
| Secondary | 1.87 | (1.10–3.20) | 1.94 | (1.49–2.52) | 1.47 | (1.10–1.96) | 1.88 | (1.45–2.44) | 2.07 | (1.05–4.10) | 1.35 | (0.99–1.83) |
| Tertiary | 4.15 | (2.29–7.51) | 2.33 | (1.63–3.34) | 2.49 | (1.71–3.63) | 1.85 | (1.27–2.69) | 5.95 | (2.77–12.81) | 1.28 | (0.84–1.94) |
CI: confidence interval; OR: odds ratio.
Data from the Monitoring and Dynamics of Health Status through the Risk Factors for Cardiovascular Disease (MDYNRFC) survey, 2013/2014.
a
Adjusted by smoking status; badjusted by diabetes status.