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Table 4 Association between cardiovascular risk factors and mean blood pressure among adult Nepali women (N = 1679)

From: A cross-sectional study of the prevalence and risk factors for hypertension in rural Nepali women

Risk factorsa

Prevalence

Systolic BP

Diastolic BP

 

N (%)

Betac (95% CI)

P value

Betac (95% CI)

P value

High total cholesterol

23 (1.6)

    

  Unadjusted

 

3.9 (-0.5 to 8.4)

0.085

1.8 (-1.8 to 5.5)

0.320

  Multivariateb

 

4.4 (-0.5 to 9.3)

0.080

1.8 (-2.2 to 5.8)

0.880

High triglycerides

147 (10.2)

    

  Unadjusted

 

4.3 (2.4 to 6.1)

<0.001

3.7 (2.2 to 5.2)

<0.0001

  Multivariateb

 

4.1 (2.1 to 6.0)

<0.001

3.6 (2.1 to 5.2)

<0.0001

Low HDL-cholesterol

1046 (72.3)

    

  Unadjusted

 

-0.6 (-1.8 to 0.7)

0.374

-0.7(-1.6 to0.3)

0.190

  Multivariateb

 

-0.5 (-1.8 to 0.8)

0.464

-0.5 (-1.6 to 0.6)

0.351

Raised fasting glucose

15 (1.3)

    

  Unadjusted

 

11.8 (6.2 to 17.4)

<0.001

8.0 (3.5 to12.6)

<0.0001

  Multivariateb

 

10.0 (4.6 to 15.4)

<0.001

6.9 (2.5 to11.3)

<0.0001

High HbA 1 c

9 (0.6)

    

  Unadjusted

 

14.5 (7.4 to 21.6)

<0.001

9.5 (3.7 to 15.3)

0.003

  Multivariateb

 

14.0 (6.9 to 21.0)

<0.001

9.3 (3.5 to 14.9)

0.004

High body mass index

214 (12.7)

    

  Unadjusted

 

6.9 (5.3 to 8.4)

<0.001

5.1 (3.9 to 6.3)

<0.0001

  Multivariateb

 

6.7 (5.0 to 8.4)

<0.001

4.8 (3.5 to 6.2)

<0.0001

High waist circumference

234 (14.0)

    

  Unadjusted

 

6.6 (5.0 to 8.1)

<0.001

5.3 (4.1 to 6.5)

<0.0001

  Multivariateb

 

6.2 (4.6 to 7.8)

<0.001

5.2 (3.9 to 6.4)

<0.0001

  1. Missing for total cholesterol = 232, triglycerides =232, HDL cholesterol = 232, fasting blood glucose = 483, HbA1c = 234, BMI = 10, waist circumference = 2.
  2. aCut-offs for high total cholesterol = 5.17 mmol/L, high triglycerides =1.7 mmol/L, low HDL cholesterol =1.04 mmol/L, high BMI = 23, abdominal obesity = waist circumference ≥80 cm, Raised fasting glucose = 5.6 mmol/L and high HbA1c = 7. Those with normal values were considered as the reference group.
  3. bAnalysis done using simple and multivariate linear regression. The multivariate models adjusted for age, cigarette smoking, alcohol consumption, household farming and food assets, ethnicity, and occupation.
  4. cBeta coefficients represent the mean difference in systolic or diastolic blood pressure comparing those with abnormal values of each predictor variable to those with normal values.