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. 2024 Jan 2;76:1. doi: 10.1186/s43044-023-00430-w

Table 7.

Regression analysis for prediction of CAD susceptibility

Univariable Multivariable
P OR 95% CI p OR 95% CI
Age 0.149 1.016 0.994 1.038
Gender 0.107 0.720 0.483 1.074
Smoking < 0.001 3.605 2.413 5.387 0.767 1.012 0.935 1.095
BMI < 0.001 1.116 1.064 1.170 0.021 1.008 1.001 1.014
HTN < 0.001 1.885 1.486 2.390 < 0.001 1.874 1.722 2.040
Total Cholesterol < 0.001 1.056 1.041 1.071 0.002 1.003 1.001 1.006
TG < 0.001 1.027 1.020 1.034 0.649 1.001 0.999 1.002
HDL-C 0.111 0.988 0.973 1.003
LDL-C < 0.001 1.051 1.038 1.064 0.192 0.999 0.996 1.001
GT < 0.001 4.071 2.187 7.579 < 0.001 1.194 1.108 1.288
TT < 0.001 15.043 7.838 28.873 0.025 1.076 1.009 1.148
GT + TT < 0.001 7.360 4.099 13.215 0.035 1.994 1.777 1.541
T < 0.001 4.241 3.224 5.578 < 0.001 2.364 1.988 3.595

Bold value indicate significance p ≤ 0.050

As shown in this table, Logistic regression analysis is conducted for prediction of CAD susceptibility, using age, gender, residence, smoking, BMI, hypertension, TC, TG, HDL-C, LDL-C, rs1122608genotypes, alleles, dietary patterns as covariates. Higher frequency of smoking, hypertension, GT, TT, GT + TT, genotypes, T allele, unhealthy dietary pattern, higher levels of BMI, TC, TG, LDL-C,, lower frequency of healthy dietary pattern are considered as risk factors for CAD in univariable analysis.While, healthy dietary pattern is protective for CAD (p < 0.001, OR = 0.206, 95% CI 0.140–0.305)