Table 4 The association between insulin resistance and anthropometric parameters as four categorical variables*

From: Using anthropometric parameters to predict insulin resistance among patients without diabetes mellitus

Characteristic

Participants

No

Model 1

OR (95% CI)

Model 2

OR (95% CI)

Model 3

OR (95% CI)

WC, (range),cm

Q1 (58.6–83.8)

2027

1 (ref)

1 (ref)

1 (ref)

Q2 (83.9–94.1)

2007

1.50 (1.18, 1.90)

1.57 (1.22, 2.03)

1.56 (1.21, 2.00)

Q3 (94.2–104.4)

2011

2.97 (2.30, 3.84)

3.23 (2.43, 4.28)

3.21 (2.42, 4.27)

Q4 (104.5–169.7)

2024

4.98 (3.60, 6.88)

5.67 (3.94, 8.17)

5.69 (3.94, 8.22)

TC, (range), cm

Q1 (34.0–48.1)

1998

1 (ref)

1 (ref)

1 (ref)

Q2 (48.2–52.2)

2040

0.66 (0.54, 0.82)

0.65 (0.52, 0.82)

0.65 (0.51, 0.81)

Q3 (52.3–56.8)

2023

0.75 (0.60, 0.94)

0.77 (0.59, 1.01)

0.76 (0.58, 1.00)

Q4 (56.9–94.8)

2008

0.47 (0.35, 0.62)

0.49 (0.34, 0.70)

0.48 (0.33, 0.69)

  1. * The association between anthropometric parameters and insulin resistance was evaluated by weighted binary logistic regression.
  2. WC: waist circumference, TC: thigh circumference; OR: odds ratio; CI: confidence interval; ref: reference.
  3. Model 1: no covariates were adjusted. Model 2 adjusted: age, sex, race/ethnicity, education, BMI, and marital status. Model 3 adjusted: Model 2 + smoking status, drinking status.
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