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. 2019 Nov 6;14(4):346–353. doi: 10.1093/inthealth/ihz089

Table 2.

Multinomial logistic regression for the association between socio-economic status and the number of components of dyslipidemia in a population-based study

Characteristics Socio-economic status, adjusted OR* (95% CI)
D+E C B A
Men
No dyslipidemia 1 (reference) 1 (reference) 1 (reference) 1 (reference)
1 factor for dyslipidemia 1 (reference) 1.34 (0.71 to 2.55) 0.85 (0.49 to 1.99) 1.12 (0.43 to 5.17)
2 factors for dyslipidemia 1 (reference) 1.33 (0.73 to 2.42) 1.15 (0.55 to 2.79) 1.34 (0.78 to 2.72)
3 factors for dyslipidemia 1 (reference) 1.65 (0.85 to 3.12) 1.12 (0.53 to 2.92) 1.52 (0.88 to 3.49)
4 factors for dyslipidemia 1 (reference) 2.32 (1.02 to 5.25) 2.26 (1.01 to 5.04) 2.99 (1.23 to 5.07)
Women
No dyslipidemia 1 (reference) 1 (reference) 1 (reference) 1 (reference)
1 factor for dyslipidemia 1 (reference) 0.79 (0.42 to 1.58) 1.04 (0.57 to 2.33) 1.15 (0.67 to 2.58)
2 factors for dyslipidemia 1 (reference) 1.75 (0.78 to 4.99) 1.67 (0.80 to 3.82) 2.02 (0.89 to 5.63)
3 factors for dyslipidemia 1 (reference) 1.21 (0.54 to 3.35) 1.66 (0.89 to 3.45) 1.87 (0.90 to 4.13)
4 factors for dyslipidemia 1 (reference) 1.76 (0.60 to 5.13) 2.40 (1.17 to 5.31) 2.31 (1.09 to 5.83)

We divided participants into five categories based on the number of altered blood lipids.

*Adjusted for age, BMI, education level, smoking and hypertension. We only consider total cholesterol, HDL-c, LDL-c and TG as factors for dyslipidemia.