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Table 7 Multinomial logistic regression showing significant predictors of each BMI class using odds ratio and corresponding 95% confidence intervala

From: Prevalence of overweight and obesity based on the body mass index; a cross-sectional study in Alkharj, Saudi Arabia

Overweight

Variable

Odds Ratio (Exp (B))

P-value

95% CI

Ā Ā Ā 

Lower

Upper bound

Intercept

ā€“

ā€“

ā€“

ā€“

Cholesterol

1.419

.001

1.153

1.746

Single/unmarried

1.367

.000

1.236

1.570

Job status (civilian worker)

1.607

.049

1.002

2.577

Class I obese

Intercept

ā€“

ā€“

ā€“

ā€“

Age

1.045

.020

1.007

1.084

Cholesterol

1.606

.000

1.269

2.034

Single/unmarried

1.542

.021

1.323

1.911

Job status (civilian worker)

1.303

.035

1.100

1.919

Class II/III obese

Intercept

ā€“

ā€“

ā€“

ā€“

Age

1.050

.015

1.010

1.093

Cholesterol

1.575

.001

1.207

2.056

Job status (civilian worker)

2.018

.042

1.025

3.976

  1. aThe reference category is the non-obese (<ā€‰25Ā kg/m2)