Table 3 Multivariate logistic regression model of associations between waist circumference 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

Waist circumference (per 10 cm)

13,859

6619 (47.8%)

1.58 [1.54, 1.62]

P < 0.001

1.42 [1.38, 1.47]

P < 0.001

1.43 [1.37, 1.52]

P < 0.001

Categories

Q1

3482

883 (25.4%)

Reference

–

Reference

–

Reference

–

Q2

3459

1462 (42.3%)

2.16 [1.95, 2.39]

P < 0.001

1.40 [1.23, 1.60]

P < 0.001

1.51 [1.23, 1.87]

P < 0.001

Q3

3459

1924 (55.6%)

3.69 [3.33, 4.08]

P < 0.001

2.18 [1.91, 2.49]

P < 0.001

2.37 [1.91, 2.95]

P < 0.001

Q4

3459

2350 (67.9%)

6.24 [5.62, 6.92]

P < 0.001

3.92 [3.42, 4.50]

P < 0.001

4.10 [3.26, 5.16]

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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