RELATIONSHIP BETWEEN SELECTED TRADITIONAL & NOVEL ANTHROPOMETRIC PARAMETERS AND BLOOD PRESSURE AMONG YOUNG PEOPLE

Many anthropometric measures have been developed in the last two decades to evaluate cardiovascular health and disease. However, the relationship between these measures and blood pressure is not commonly explored among young population.

This study sought to explore the relationship between selected traditional and novel anthropometric metrics and blood pressure among young people as part of ThE profile of anthRopometRy And psyChosocial issuEs on campus (TERRACE) study.

A total of 375 participants were included in the study. Basic demographic details, standard methods were used to measure blood pressure, and anthropometric measures Height, weight, waist circumference, hip circumference, and neck circumference were measured. Derived waist and hip indices included the waist-hip ratio, waist-to-height ratio, weight-adjusted waist index, abdominal volume index, neck-to-height ratio, and conicity index. The linear relationships between the anthropometric parameters and systolic blood pressure, diastolic blood pressure, and pulse pressure were explored. Those that were strongly correlated, moderately correlated, weakly correlated, and effectively uncorrelated were graded 0.50-1.0, 0.30-0.49, 0.10-0.29, and less than 0.10, respectively. The analysis was done using SPSS version 23. A p-value <0.05 was considered significant.

The mean age ±standard deviation(SD) and proportion of females were 21.1±3.5 years and 245 (65.3%), respectively. The mean ±SD systolic blood pressure, diastolic blood pressure, and pulse pressure were 109.2 11.2 mmHg, 67.5±8.8 mmHg, and 41.6±11.1 mmHg, respectively. Most of the variables have a statistically significant relationship with the blood pressure parameters; however, all are neither moderately nor strongly correlated.

Most of the anthropometric indicators, including the novel ones, are correlated with BP parameters in this young population. However, further research is needed to unravel newer one with better correlations in this population.