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Table 2 Coefficient and standard error of the final SEM model of risk factors for diabetes in the STEPwise approach to surveillance 2015 survey—Punjab, India among adults aged 18–69 years

From: Structural equation modeling to identify the risk factors of diabetes in the adult population of North India

Variables

Coefficient

Standard error

p value

95% CI lower upper

Direct effects

Fasting blood glucose

 Waist circumference

0.177

0.051

0.001

0.076

0.278

 Systolic blood pressure

0.107

0.035

0.003

0.038

0.177

 Triglyceride

0.046

0.008

< 0.001

0.030

0.062

 Alcohol use

0

(No path)

   

 Weekly fruit intake

0

(No path)

   

 Age

0.464

0.056

< 0.001

0.353

0.574

 Urban residence

3.124

1.337

0.020

0.502

5.746

 Family h/o diabetes

4.473

1.593

0.005

1.350

7.597

Waist circumference

 Alcohol use

1.521

0.605

0.05

0.305

2.764

 Weekly fruit intake

−0.044

0.018

0.01

− 0.079

− 0.009

 Age

0.441

0.020

< 0.001

0.401

0.481

 Family h/o diabetes

4.104

0.655

< 0.001

2.819

5.389

Triglycerides

 Age

0.264

0.127

0.03

0.015

0.513

Systolic blood pressure

 Waist circumference

0.266

0.028

< 0.001

0.210

0.321

 Alcohol use

10.402

1.100

< 0.001

8.245

12.559

 Weekly fruit intake

0

(No path)

   

 Age

0.491

0.030

< 0.001

0.431

0.551

 Family h/o diabetes

0

(No path)

   

Indirect effects

Fasting blood glucose

 Waist circumference

0.028

0.003

< 0.001

0.022

0.034

 Systolic blood pressure

0

(No path)

   

 Triglyceride

0

(No path)

   

 Alcohol use

1.430

0.428

0.001

0.591

2.268

 Weekly fruit intake

−0.009

0.004

0.034

−0.017

−0.001

 Age

0.156

0.029

< 0.001

0.098

0.213

 Urban residence

0

(No path)

   

 Family h/o diabetes

0.844

0.247

0.001

0.359

1.329

Waist circumference

 Alcohol use

0

(No path)

   

 Weekly fruit intake

0

(No path)

   

 Age

0

(No path)

   

 Family h/o diabetes

0

(No path)

   

Triglycerides

 Age

0

(No path)

   

Systolic blood pressure

 Waist circumference

0

(No path)

   

 Alcohol use

0.404

0.216

0.061

− 0.018

0.827

 Weekly fruit intake

− 0.012

0.005

0.016

− 0.021

− 0.002

 Age

0.117

0.014

< 0.001

0.090

0.144

 Family h/o diabetes

1.09

0.210

< 0.001

0.679

1.501

Total effects

Fasting blood glucose

 Waist circumference

0.206

0.051

< 0.001

0.105

0.306

 Systolic blood pressure

0.107

0.035

0.003

0.038

0.177

 Triglyceride

0.046

0.008

< 0.001

0.030

0.062

 Alcohol use

1.430

0.428

0.001

0.591

2.268

 Weekly fruit intake

− 0.009

0.004

0.034

− 0.017

− 0.001

 Age

0.619

0.049

< 0.001

0.522

0.716

 Urban residence

3.124

1.338

0.02

0.502

5.746

 Family h/o diabetes

5.317

1.586

0.001

2.208

8.427

Waist circumference

 Alcohol use

1.521

0.655

0.05

0.234

2.915

 Weekly fruit intake

− 0.044

0.018

0.013

− 0.079

− 0.009

 Age

0.441

0.020

< 0.001

0.401

0.481

 Family h/o diabetes

4.104

0.656

< 0.001

2.819

5.389

Triglycerides

 Age

0.264

0.127

0.038

0.015

0.513

Systolic blood pressure

 Waist circumference

0.266

0.028

< 0.001

0.210

0.321

 Alcohol use

10.806

1.120

< 0.001

8.611

13.001

 Weekly fruit intake

− 0.012

0.005

0.016

− 0.021

− 0.002

 Age

0.608

0.028

< 0.001

0.552

0.664

 Family h/o diabetes

1.090

0.210

< 0.001

0.679

1.501

  1. SEM structural equation modeling, SEM model endogenous variables are waist circumference, systolic blood pressure, triglyceride, fasting blood glucose; exogenous variables are alcohol use, weekly fruit intake, place of residence, age, family history, education and occupation, CI confidence interval