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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.
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