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. 2019 Jan 26;18:27. doi: 10.1186/s12944-019-0961-3

Table 5:

Ordinal logistic regression analysis for dyslipidemia and serum vitamin D level groups

Model 1 Estimate Standard error Wald Odd ratio (95% confidence interval) P-value*
 Vitamin D status 1 1.97 1.36 2.10 7.15 (0.50-102.01) 0.15
 Vitamin D status 2 3.47 1.40 6.16 32.21 (2.08-499.97) 0.01
 Dyslipidemia
 Normal lipids (Ref.)
-0.54 0.62 0.74 0.59 (0.17-1.99) 0.39
 Age 0.03 0.02 1.27 1.03 (0.98-1.07) 0.26
 Male gender
 Female gender (Ref.)
-013 0.51 0.07 0.88 (0.33-2.36) 0.79
 Education
 Below high school
 High school or above (Ref.)
0.11 0.49 0.06 1.12 (0.43-2.90) 0.82
Model 2
 Vitamin D status 1 -3.44 1.93 3.18 0.03 (0.00-1.41) 0.08
 Vitamin D status 2 -1.84 1.93 0.91 0.16 (0.00-6.96) 0.34
 Dyslipidemia
 Normal lipids (Ref.)
-0.51 0.67 0.58 0.60 (0.16-2.24) 0.45
 Smoking
 Non-smoking (Ref.)
-0.16 0.58 0.08 0.85 (0.27-2.64) 0.78
 HbA1c -064 0.33 3.84 0.53 (0.28-1.00) 0.05

* Ordinal logistic regression analysis (ordinal dependent variable was vitamin D status: deficient, insufficient and sufficient vitamin D levels in order). We used two models of logistic regression using two groups of co-variables. Model 1 included age, gender, education level and type of lipid as co-variables while model 2 included smoking, HbA1c and type of lipid as co-variables. P-values < 0.05 were considered statistically significant. TGs; triglycerides, HDL-C; high density lipoprotein cholesterol, LDL-C; low density lipoprotein cholesterol, HbA1c; hemoglobin A1c.