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Table 3 Logistic regression model using BMI class (categorical variable) as a predictor for hypercholesterolemia status (binary outcome), after adjusting for sociodemographic and other variables (n = 1019)

From: The prevalence of hypercholesterolemia and associated risk factors in Al-Kharj population, Saudi Arabia: a cross-sectional survey

Hypercholesterolemia status

B

SE of B

P value

Exp (B)/odds ratio

95% CI for odds ratio

Lower

Upper

BMI class (non-obese)

 − 0.889

0.329

0.007

0.411

0.216

0.783

BMI class (overweight)

1.319

0.973

0.046

1.727

1.58

1.914

Age

0.010

0.016

0.512

1.010

0.980

1.042

Sex (female)

 − 0.275

0.258

0.026

0.759

0.458

1.259

Marital status (married)

 − 0.883

0.268

0.001

0.413

0.245

0.698

Education level

0.447

0.672

0.506

1.563

0.419

5.833

Job (not working)

1.394

0.684

0.042

4.030

2.054

5.415

Job (civilian)

1.217

0.346

0.000

3.377

1.713

6.656

Diabetes (yes)

0.042

0.412

0.920

1.042

0.465

2.335

Smoking status (no)

 − 0.140

0.312

0.653

0.869

0.471

1.602

Smoking status (ex-smoker)

0.189

0.524

0.718

1.209

0.432

3.377

  1. B = beta coefficient, SE of B = standard error of beta coefficient