Table 2 Multilevel logistic regression analysis in Nepal (NDHS, 2016)

From: Does the place of residence influence your risk of being hypertensive? A study-based on Nepal Demographic and Health Survey

Variables

Model 1 (Null)

Model 2 OR (95% CI)

Model3 AOR (95% CI)

Model4 AOR (95% CI)

Model5

Fixed Effect

Individual Factors

Age (Ref: <40)

  

1

1

1

 40–60

  

3.88 (3.52, 4.28)

3.21 (3.07, 3.80)

3.48 (3.12, 3.90)

 60+

  

7.06 (6.29, 7.92)

7.98 (6.94, 9.18)

8.20 (7.12, 9.45)

Sex (Ref: Female)

  

1.34 (1.23, 1.46)

1.34 (1.22, 1.48)

1.34 (1.22, 1.49)

Smoke (Ref: No)

   

1.33 (1.16, 1.52)

1.33 (1.15, 1.52)

Alcohol (Ref: No)

   

1.13 (0.83, 1.55)

1.16 (0.85, 1.60)

Literacy (Ref: No formal education)

   

0.99 (0.89, 1.12)

1.02 (0.90, 1.15)

Food Insecurity (Ref: Food Secure)

   

0.97 (0.88, 1.07)

0.97 (0.88, 1.07)

BMI (Ref: Normal)

  Underweight

   

0.63 (0.55, 0.73)

0.64 (0.56, 0.73)

  Overweight

   

2.61 (2.36, 2.88)

2.65 (2.40, 2,93)

Area level factor

Area Deprivation

Highly deprived

 

1

1

1

1

Moderate deprived

 

1.43 (1.19, 1.69)

1.41 (1.26, 1.85)

1.27 (1.05, 1.53)

1.29 (1.07, 1.56)

Less deprived

 

1.42 (1.19, 1.70)

1.52 (1.26, 1.85)

1.24 (1.02, 1.50)

1.21 (1.01, 1.47)

Least deprived

 

1.82 (1.53, 2.20)

2.25 (1.85, 2.73)

1.50 (1.23, 1.82)

1.59 (1.30, 1.89)

p-trend

 

0.001

0.001

0.002

0.002

Cross-Level Interaction

Literate*High Deprived

    

1.62 (1.30, 2.02)

Literate*Mod. deprived

    

0.81 (0.99, 0.66)

Literate*Less deprived

    

1.10 (0.90, 1.34)

Literate*Least deprived

    

0.74 (0.59, 0.94)

Random effect

Variance (SE)

0.24 (0.03)

0.21 (0.03)

0.26 (0.03)

0.22 (0.03)

0.18 (0.03)

VPC

6.8%

6%

7.3%

6.3%

5.2%

PCV

Ref

12.5%

-8.3%

8.3%

30.8%

MOR

1.59

1.55

1.60

1.56

1.50

Model fit Statistics

Log Likelihood

15531

15497

13949

13235

13187

AIC

15535

15504

13967

13262

13221

BIC

15542

15515

14003

13318

13294

  1. SE standard error, VPC Variance partition coefficient, MOR median odds ratio, PCV Proportional Change in Variance, AIC Akaike’s information criterion, BIC Bayesian information criteria
  2. *P-value. Model 1: Null Model; Model 2: Unadjusted model; Model 3: Adjusted Model (Age, sex,); Model 4 Adjusted model (age, sex food insecurity, smoke, alcohol intake, literacy, and BMI categories); Model 5: including the interaction terms