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. 2020 Dec 29;15(3):329–345. doi: 10.4162/nrp.2021.15.3.329

Table 2. Subgroup analysis of studies on the association of serum vitamin D status with the risk of MetS in observational studies.

Study No. of studies OR or RR (95% Cl) I2 (%) P value for heterogeneity P*
All studies 23 0.81 (0.77–0.85) 63.9 0.000
Age 0.475
Total 10 0.82 (0.74–0.91) 73.5 0.000
Middle 4 0.81 (0.72–0.89) 70.0 0.019
Elderly 9 0.80 (0.76–0.85) 52.3 0.032
Study design 0.374
Cross-sectional 19 0.80 (0.76–0.84) 53.5 0.003
Cohort 4 0.85 (0.72–0.98) 85.8 0.000
Study location 0.290
North America 6 0.77 (0.70–0.84) 43.7 0.114
Asia-Pacific 11 0.82 (0.75–0.90) 74.0 0.000
Europe 6 0.83 (0.78–0.88) 46.6 0.096
MetS criteria 0.840
NCEP ATP-III 11 0.81 (0.77–0.86) 34.3 0.124
Others 12 0.81 (0.75–0.86) 75.6 0.000
Quality assessment 0.010
High (≥ 8) 10 0.86 (0.81–0.92) 55.2 0.017
Low (< 8) 13 0.77 (0.73–0.82) 55.5 0.008
Adjustment for confounders
Alcohol 0.045
Yes 13 0.78 (0.74–0.82) 34.3 0.108
No 10 0.84 (0.79–0.90) 40.6 0.000
Smoking 0.798
Yes 17 0.82 (0.77–0.86) 64.6 0.000
No 6 0.80 (0.74–0.87) 68.5 0.007
Physical activity 0.500
Yes 17 0.82 (0.78–0.87) 70.3 0.000
No 6 0.83 (0.73–0.93) 77.9 0.000
Education 0.626
Yes 9 0.82 (0.77–0.87) 63.9 0.005
No 14 0.80 (0.74–0.86) 66.1 0.000
BMI 0.477
Yes 9 0.82 (0.72–0.91) 74.3 0.000
No 14 0.80 (0.77–0.84) 53.9 0.009
Energy intake 0.640
Yes 3 0.79 (0.70–0.88) 47.0 0.152
No 20 0.81 (0.77–0.86) 66.3 0.000
Calcium (dietary intake or supplement use) 0.442
Yes 5 0.79 (0.73–0.85) 37.2 0.173
No 18 0.82 (0.77–0.87) 68.4 0.000
Vitamin D (dietary intake or supplement use) 0.480
Yes 3 0.77 (0.67–0.88) 28.0 0.249
No 20 0.82 (0.78–0.86) 67.1 0.000
Serum PTH 0.782
Yes 3 0.81 (0.73–0.89) 0.0 0.534
No 20 0.81 (0.77–0.85) 68.1 0.000
Season 0.536
Yes 9 0.80 (0.74–0.86) 57.1 0.017
No 14 0.82 (0.77–0.87) 69.2 0.000

MetS, metabolic syndrome; OR, odds ratio; RR, relative risk; CI, confidence interval; NCEP ATP-III, National Cholesterol Education Program Adult Treatment Panel III; BMI, body mass index; PTH, parathyroid hormone.

*P values for heterogeneity between subgroups in meta-regression analysis.