Godfrey Katamba1, Abdul Musasizi2, Mivule Abdul Kinene3, Agnes Namaganda4, Francis Muzaale5. 1. Department of Physiology, College of Health, Medicine and Life Sciences, King Ceasor University, Kampala, Uganda. cgmkats13@gmail.com. 2. Department of Biochemistry, College of Health, Medicine and Life Sciences, King Ceasor University, Kampala, Uganda. 3. Department of Anatomy, College of Health, Medicine and Life Sciences, King Ceasor University, Kampala, Uganda. 4. Department of Physiology, Faculty of Health Sciences, Busitema University, Mbale, Uganda. 5. Department of Physiology, Faculty of Health Sciences, Gulu University, Gulu, Uganda.
Abstract
OBJECTIVES: To determine the correlation between anthropometric indices and the selected hemodynamic parameters among secondary adolescents aged 12-17 years. RESULTS: Our findings showed weak positive correlation between generally body surface area, neck circumference and conicity index with the hemodynamic parameters (systolic blood pressure, diastolic blood pressure, resting pulse rate, mean arterial pressure, rate pressure product and pulse pressure). However, the ponderosity index, body mass index and waist hip ratio showed negative weak correlations with the hemodynamic parameters. There was a significant difference in pulse pressure among the BMI categories. All parameters showed significant (p < 0.05) differences across the categories of neck circumference and waist hip ratio. Generally, in multivariate regression analysis, anthropometric indices showed significant prediction of the hemodynamic parameters.
OBJECTIVES: To determine the correlation between anthropometric indices and the selected hemodynamic parameters among secondary adolescents aged 12-17 years. RESULTS: Our findings showed weak positive correlation between generally body surface area, neck circumference and conicity index with the hemodynamic parameters (systolic blood pressure, diastolic blood pressure, resting pulse rate, mean arterial pressure, rate pressure product and pulse pressure). However, the ponderosity index, body mass index and waist hip ratio showed negative weak correlations with the hemodynamic parameters. There was a significant difference in pulse pressure among the BMI categories. All parameters showed significant (p < 0.05) differences across the categories of neck circumference and waist hip ratio. Generally, in multivariate regression analysis, anthropometric indices showed significant prediction of the hemodynamic parameters.
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