Year: 2026 | Month: January-March | Volume: 11 | Issue: 1 | Pages: 24-30
DOI: https://doi.org/10.52403/gijhsr.20260103
Correlation of Anthropometric Parameters on Blood Pressure in Students and Staff of Saint James School of Medicine
Moiz Hafeez1*, Muzammil Nasir1, Talha Subhani1, Laxman Reddy Nadithe2, Namani Satyanarayana2, Paripelli Sunitha2, Sreenivasa Gadireddy2
1MD-4 Students; Saint James School of Medicine, Arnos Vale, St. Vincent & the Grenadines.
2Associate Professor, Saint James School of Medicine, Arnos Vale, St. Vincent & the Grenadines.
*Corresponding Author: Moiz Hafeez
ABSTRACT
Background: Hypertension is a major global public health problem and a leading risk factor for cardiovascular disease. Although the association between obesity and hypertension is well established, limited data are available regarding the relationship between basic anthropometric parameters and blood pressure among normotensive individuals. Identifying early predictors in this population may aid in preventive strategies.
Materials and Methods: A cross-sectional study was conducted among 60 normotensive students and staff (20 males and 20 females) aged 20-40 years at Saint James School of Medicine. Anthropometric parameters including age, height, weight, and body mass index (BMI) were measured using standardized protocols. Blood pressure was recorded using a calibrated digital sphygmomanometer, and the mean of three readings was used for analysis. Pearson’s correlation coefficient was applied to assess associations between anthropometric variables and systolic and diastolic blood pressure, with statistical significance set at p < 0.05.
Results: Mean systolic blood pressure ranged from 100 to 140 mmHg and mean diastolic blood pressure from 70 to 93 mmHg. BMI values ranged from 18.2 to 34.75 kg/m². Individuals in the high-normal blood pressure category exhibited a higher mean BMI (26.16 kg/m²) compared with those in the normal (23.73 kg/m²) and optimal (23.68 kg/m²) blood pressure categories. Pearson’s correlation analysis demonstrated a weak positive association between BMI and blood pressure (r = 0.20).
Conclusion: Anthropometric parameters, particularly BMI, showed only a weak association with blood pressure among normotensive individuals. These findings suggest that blood pressure regulation in this population is multifactorial and cannot be predicted by BMI alone. Comprehensive lifestyle-based screening approaches are recommended for early cardiovascular risk assessment.
Keywords: Anthropometric parameters; Blood pressure; Body mass index; Correlation; Normotensive individuals.