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. 2021 Apr 19;21:260. doi: 10.1186/s12877-021-02154-5

Table 3.

Association between BMI, WC and HBP

Characteristics Model 1 Model 2 Model 3
OR(95%CI) OR(95%CI) OR(95%CI)
BMI,per1kg/m2 change 1.077 (1.074,1.08) 1.085 (1.081,1.088) 1.084 (1.080,1.087)
BMI group
 Q1 1.000(ref) 1.000(ref) 1.000(ref)
 Q2 1.299 (1.254,1.345) 1.361 (1.313,1.41) 1.363 (1.316,1.413)
 Q3 1.482 (1.431,1.535) 1.581 (1.525,1.638) 1.580 (1.524,1.637)
 Q4 1.709 (1.65,1.77) 1.844 (1.779,1.911) 1.835 (1.770,1.903)
 Q5 2.126 (2.051,2.203) 2.317 (2.235,2.403) 2.300 (2.217,2.386)
P for trend < 0.001 < 0.001 < 0.001
 WC,per1 cm change 1.022 (1.021,1.024) 1.025 (1.024,1.026) 1.026 (1.024,1.027)
WC group
 Q1 1.000(ref) 1.000(ref) 1.000(ref)
 Q2 1.214 (1.171,1.259) 1.239 (1.195,1.286) 1.237 (1.192,1.283)
 Q3 1.408 (1.358,1.459) 1.443 (1.391,1.496) 1.445 (1.394,1.499)
 Q4 1.512 (1.46,1.567) 1.577 (1.522,1.635) 1.593 (1.537,1.652)
 Q5 1.879 (1.814,1.947) 1.95 (1.881,2.021) 1.977 (1.906,2.050)
P for trend < 0.001 < 0.001 < 0.001

BMI body mass index, WC waist circumference. Model1: unadjusted. Model2: adjusted for sex and age. Model3 adjusted for Model2 and marital status, alcohol consumption, smoking, physical activity, place of residence,cancer, stroke, psychotic illness and blood glucose. Linear trend test was performed by modeling the median value of each exposure category as a continuous variable in the models