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Table 2 Association of anthropometric indices with incident dyslipidemia for one standard deviation increase

From: Predicting the 10-year incidence of dyslipidemia based on novel anthropometric indices, using data mining

Variable

Crude

OR(95%CI)

P-value

Model A

OR (95% CI)

P-value

VIF Model A

Model B

OR (95% CI)

P-value

VIF Model B

VAI

3.77 (2.97, 4.80)

 < 0.001

3.40 (2.63, 4.38)

0.000

1.11

2.81 (2.07, 3.81)

 < 0.001

1.13

BRI

1.21 (1.14, 1.28)

 < 0.001

1.05 (0.96, 1.13)

0.287

2.01

1.01 (0.91, 1.13)

0.843

2.55

BMI

    

1.90

  

2.44

 Underweight (< 18)

0.35 (0.18, 0.71)

0.004

0.40 (0.19, 0.84)

0.015

 

0.43 (0.18, 1.03)

0.260

 

 Normal (18 – 25)

Ref

-

Ref

-

 

Ref

-

 

 Overweight (25 – 30)

 Obese (> 30)

1.41 (1.14, 1.76)

1.88 (1.42, 2.48)

0.002

 < 0.001

1.09 (0.85, 1.41)

1.17 (0.80, 1.73)

0.496

0.417

 

1.07 (0.77, 1.49)

0.98 (0.59, 1.63)

0.696

0.941

 

Sensitivity

Train

-

87%

 

86%

Test

-

87%

 

81%

Deviance = -2LLR

-

2139.15

 

1460.57

P value of deviance

-

0.000

  1. The model A contains VAI, BRI, BMI
  2. The model B contains model all variables in Model A, adjusted for PAL, Age, Sex, Anxiety Score, Depression Score, Smoking status, percent of daily energy intake from fat, percent of daily energy intake from carbohydrate and percent of daily energy intake from protein
  3. Abbreviations: BRI Body roundness index, VAI Visceral Adiposity Index, BMI body mass index, PAL physical activity level
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Lipids in Health and Disease

ISSN: 1476-511X