Lipid accumulation better than BMI for predicting hypertension in males
MedWire News: Study findings suggest that lipid accumulation product (LAP) - a combined measurement of waist circumference and triglycerides - is better for predicting prevalent hypertension in males than body mass index (BMI).
Yonghong Zhang (Medical College of Soochow University, Suzhou, China) and team investigated the associations of LAP and BMI with risk for hypertension among 2589 individuals aged between 20 and 84 years. Of these, 968 were hypertensives (systolic blood pressure ≥140 mmHg and/or diastolic blood pressure ≥90 mmHg) and 1621 were normotensives.
As expected, the researchers found that LAP and BMI were both significantly higher in hypertensives than in normotensives in both males and females.
Multivariate analysis revealed a significant linear association between LAP and blood pressure, and increased LAP was positively and significantly associated with risk for prevalent hypertension in both genders.
Of interest, increased LAP had a stronger association with risk for hypertension than BMI or waist circumference in males, but not in females, reports the team.
Indeed, the risk for prevalent hypertension among males in the highest quartile of LAP (median 54.77) was 4.2 times higher than those in the lowest LAP quartile (median 5.20). By contrast, the risk for hypertension was only 2.8 times higher for those in the highest compared with the lowest BMI quartile.
Zhang et al suggest that the lack of association between LAP and BMI with prevalent hypertension risk in women may be partly ascribed to the lower rate of high triglycerides in the females compared with males (13.2 vs 23.1%).
Nonetheless, the findings of the current study indicate that LAP, as well as BMI and waist circumference, is an important influencing factor of prevalent hypertension, the team writes in Obesity Research and Clinical Practice.
Additionally, it shows that LAP "probably is a better predictive index of prevalent hypertension compared to BMI and waist circumference in [the] male population.
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By Nikki Withers