Table 2 Multivariate logistic regression model of associations between different patterns of obesity and hypertension Risk (n = 13,859).

From: Association of different obesity patterns with hypertension in US male adults: a cross-sectional study

Obesity Patterns

Total

Hypertension (n, %)

Non-adjusted model

Minimally adjusted model

Fully adjusted model

OR [95% CI]

P-value

OR [95% CI]

P-value

OR [95% CI]

P-value

Normal weight

3943

1260 (32.0%)

Reference

–

Reference

–

Reference

–

Overweight and general obesity

4090

1643 (40.2%)

1.43 [1.31, 1.57]

P < 0.001

1.37 [1.21, 1.54]

P < 0.001

1.41 [1.17, 1.70]

P < 0.001

Abdominal obesity

1460

916 (62.7%)

3.59 [3.16, 4.07]

P < 0.001

1.86 [1.58, 2.19]

P < 0.001

1.97 [1.53, 2.54]

P < 0.001

Compound obesity

4366

2800 (64.1%)

3.81 [3.48, 4.17]

P < 0.001

3.23 [2.86, 3.64]

P < 0.001

3.28 [2.70, 3.99]

P < 0.001

  1. Minimally adjusted model, we adjusted for age, race/ethnicity, education, smoking, drinking. Fully adjusted model, we adjusted for age, race/ethnicity, education, smoking, drinking, diabetes, TG, TC, LDL-C, HDL-C, RBC, hemoglobin, and eGFR.
  2. TG triglycerides, TC total cholesterol, LDL-C low-density lipoprotein cholesterol, HDL-C high-density lipoprotein cholesterol, RBC red blood cells, eGFR estimated glomerular filtration rate.
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