Table 4 Multivariable analysis of risk factors of IFG and diabetes among 486 participants not receiving treatment for diabetes who attended the six health centers in Luanda (Angola) during August-November 2018 (case-control study).

From: Diabetes and pre-diabetes among adults reaching health centers in Luanda, Angola: prevalence and associated factors

 

Risk factors for IFG/diabetes

Risk factors for diabetes

OR1 (95% CI)

p-value

OR2 (95% CI)

p-value

Age, years

1.03 (1.02 to 1.04)

<0.0001

1.03 (1.02 to 1.04)

<0.0001

Weight, kg

1.01 (1.01 to 1.03)

<0.0001

1.01 (1.01 to 1.03)

<0.0001

Measured glycaemia before:

 

0.23

 

0.003

  No

Reference

 

Reference

 

  Yes

0.75 (0.47 to 1.20)

 

2.07 (1.29 to 3.31)

 

Feeling polyuria:

 

0.01

 

0.002

  No

Reference

 

Reference

 

  Yes

1.93 (1.13 to 3.28)

 

2.18 (1.32 to 3.59)

 

Feeling polydipsia:

 

0.01

 

0.16

  No

Reference

 

Reference

 

  Yes

1.92 (1.16 to 3.18)

 

1.43 (0.87 to 2.36)

 

Feeling weakness:

 

0.0008

 

0.0008

  No

Reference

 

Reference

 

  Yes

2.22 (1.39 to 3.55)

 

2.22 (1.39 to 3.55)

 

Eating vegetables daily:

 

0.04

 

0.04

  No

Reference

 

Reference

 

  Yes

0.69 (0.47 to 0.99)

 

0.69 (0.47 to 0.99)

 

  Consuming free-sugars

 

0.0006

 

0.0006

food/beverages daily:

Reference

 

Reference

 

  No

2.34 (1.44 to

 

2.34 (1.44 to

 

  Yes

3.81)

 

3.81)

 

Drinking alcohol daily:

 

0.14

 

0.14

  No

Reference

 

Reference

 

  Yes

1.43 (0.89 to 2.30)

 

1.43 (0.89 to 2.30)

 

Seated >2 hours daily:

 

0.007

 

0.84

  No

Reference

 

Reference

 

  Yes

1.80 (1.17 to 2.76)

 

0.95 (0.61 to 1.50)

 
  1. Results from the generalized ordered logit (partial proportional odds) model. Effects sizes are reported as odds ratio (OR) with 95% confidence interval (CI). OR1 indicated the odds ratio for IFG/diabetes vs. no IFG/diabetes, while OR2 indicated the odds ratio for diabetes vs. no diabetes. The analysis estimated two different odds ratios (OR1 and OR2) for the explanatory variables violating the proportional odds assumption, while equal odd ratios (OR1 = OR2) were reported for all other explanatory variables not violating the assumption.