Table 4 Univariate and Multivariate logistic regression analysis of prediabetes with prehypertension population comparing to and normal population

Age

 18-30 years

Ref *

 31-49 years

2.1***

1.755- 2.452

1.626—2.335

 50-64 years

1.7***

1.360—2.174

1.646—2.723

  > 65 years

1.6

1.176- 2.179

1.377—2.796

Gender

 Male

Ref

 Female

1

0 .887—1.201

Area of residence

 Rural

Ref

 Urban

1.8***

1.462- 2.221

0 .977—1.533

Division

 Rajshahi

Ref

 Barisal

1.4

0.983—2.110

1.022—2.110

 Chittagong

1.4

0 .933—1.960

0.829—1.703

 Dhaka

2.3***

1.566 -3.4661

1.231—2.742

 Khulna

1.5*

1.048—2.059

0.983—1.921

 Mymensingh

1

0.719—1.451

0.821—1.622

 Rangpur

1.1

0.774—1.591

0.909—1.863

 Sylhet

1.2

0.803—1.660

0.841—1.730

Educational status

 Secondary/ Higher

Ref

 Primary

0.9

0 .894—1.305

 No education/ Preschool

1.1

0.752—1.083

Currently employed

 No

Ref

 Yes

0.9

0 .799—1.129

Occupation Type

 Manual

Ref

 Not Manual

1.4***

1.141—1.596

0.994—1.393

Wealth status

 Poorest

Ref

 Poorer

1.1

0.793—1.378

0.722—1.234

 Middle

1.4**

1.093 1.873

0.934—1.608

 Richer

1.9***

1.436- 2.516

1.048- 1.821

 Richest

3.3***

2.458—4.349

1.306- 2.424

Marital Status

 Never Married

Ref

 Married

1.8***

1.390–2.357

0.856- 1.485

 Others (divorced/ widow)

2.2***

1.539–3.108

0.798- 1.793

Smoking Status

 No

Ref

 Yes

0 .9

.732- 1.164

BMI (WHO)

 Normal

Ref

 Underweight

0.5***

0 .409- .639

0.429—0.679

 Overweight/Obese

3.2***

2.624- 3.855

2.057- 3.053