Table 3 Logistic regression models predicting the probability of having adverse cardio-metabolic profile (3 or more cardio-metabolic risk indicators) for males and females (estimates and odds ratios).

From: Examining the relationship between body mass index and adverse cardio-metabolic profiles among Australian Indigenous and non-Indigenous young adults

 

Males

Females

Independent Variables

Odds Ratio

Pr > ChiSq

95% CI

Odds Ratio

Pr > ChiSq

95% CI

Body Mass Index

1.34

<0.001

1.22–1.47

1.55

<0.001

1.38–1.72

Indigeneity/residency

  Urban Indigenous [Ref]

1.00

  

1.00

  

  Remote Indigenous

0.83

0.699

0.32–2.10

10.10

0.001

2.75–37.0

  Urban Non-Indigenous

0.08

0.001

0.01–0.35

0.65

0.582

0.13–3.04

Years of schooling

  <12 years [Ref]

1.00

  

1.00

  

  12 years

1.33

0.528

0.55–3.20

2.37

0.087

0.87–6.41

Main source of household income

  Social Security/other [Ref]

1.00

  

1.00

  

  Employment

0.80

0.595

0.34–1.83

1.09

0.885

0.33–3.53

Car ownership

  No car in the household [Ref]

1.00

  

1.00

  

  Owns a car

1.62

0.329

0.61–4.26

0.28

0.026

0.09–0.85

  Someone in the household owns a car

2.36

0.064

0.95–5.82

0.88

0.789

0.34–2.23

   Number of cases

213

251

   -2 Log Likelihood

186.074

171.945

  1. Notes: [Ref]- the reference category.