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Table 3 Causal odds ratios from MR analysis for the associations of 25(OH)D with metabolic syndrome components (dichotomous variables) and metabolic syndrome

From: Association of 25-hydroxyvitamin D with cardiometabolic risk factors and metabolic syndrome: a mendelian randomization study

  ORXY [per 10 nmol/L increase in 25(OH)D] GRScombined GRSsynthesis GRSmetabolism
ORZY [per 1 unit increase in GRScombined] ORIV [per 10 nmol/L increase in 25(OH)D] ORZY [per 1 unit increase in GRSsynthesis] ORIV [per 10 nmol/L increase in 25(OH)D] ORZY [per 1 unit increase in GRSmetabolism] ORIV [per 10 nmol/L increase in 25(OH)D]
Central obesity 1.023 (0.987, 1.061) 1.014 (0.982, 1.047) 0.867 (0.629, 1.195) 1.008 (0.964, 1.055) 0.909 (0.532, 1.556) 1.024 (0.975, 1.075) 0.834 (0.574, 1.210)
Raised fasting plasma glucose 1.016 (0.981, 1.052) 1.027 (0.994, 1.060) 0.767 (0.555, 1.061) 1.047 (1.001, 1.095) 0.578 (0.321, 0.980) 0.997 (0.951, 1.046) 1.034 (0.717, 1.461)
Raised triglyceride 0.833 (0.803, 0.864) 0.966 (0.965, 1.027) 1.042 (0.757, 1.435) 0.988 (0.945, 1.033) 1.154 (0.674, 1.976) 1.008 (0.961, 1.057) 0.941 (0.658, 1.344)
Reduced high-density lipoprotein 1.006 (0.969, 1.044) 0.991 (0.959, 1.024) 1.096 (0.780, 1.540) 0.983 (0.939, 1.030) 1.224 (0.697, 2.149) 1.003 (0.955, 1.053) 0.978 (0.674, 1.416)
Raised blood pressure 1.043 (1.004, 1.084) 0.978 (0.946, 1.011) 1.251 (0.889, 1.761) 0.978 (0.933, 1.025) 1.300 (0.739, 2.286) 0.975 (0.928, 1.025) 1.209 (0.832, 1.754)
Metabolic syndrome 0.921 (0.888, 0.954) 0.977 (0.966, 1.030) 1.031 (0.749, 1.420) 0.994 (0.950, 1.041) 1.074 (0.628, 1.837) 1.002 (0.955, 1.052) 0.985 (0.680, 1.428)
  1. Data are presented as odds ratios (95% confidence interval). 25(OH)D 25-hydroxyvitamin D, GRS genetic risk score, MR mendelian randomization
  2. The bold number represents significance (P < 0.05)
  3. The model was adjusted for age, sex, urban/rural residence, economic status, current smoking, waist circumference, diabetes, hypertension, HDL-cholesterol, ln(triglycerides). For metabolic syndrome, the model was adjusted for age, sex, urban/rural residence, economic status and current smoking