Association between Anthropometric Indices of Obesity and Lipid profile Parameters among Hypertensive Patients Attending some Selected Hospitals in Kano Metropolis
Year: 2025
Type: article
Study design: Observational Study
Abstract: Hypertension is a growing global health issue, especially in low-income countries, with obesity as a key risk factor measured through indices like BMI, waist circumference, and waist-to-hip ratio. Assessing the relationship between lipid profiles (TC, TG, HDL-C, LDL-C) and these obesity measures is crucial for effective hypertension management. This study investigates the link between anthropometric indicators of obesity and lipid profile parameters in hypertensive patients who visit specific hospitals in Kano Metropolis, Nigeria. Between November 2024 and February 2025, 200 individuals aged 60 or older participated in a cross-sectional study involving interviews. Each participant's anthropometric indices were measured using techniques employed by trained professionals. The Body Composition Monitor (Karada Omron Scan) was used to measure the participants' weight, BMI, visceral fat, fat composition, muscle composition, and resting metabolism. Standard techniques were then applied to establish the remaining anthropometric data. Lipid parameters were measured using a lipid panel test apparatus. SPSS V 24. 00 was utilized for data analysis. The findings revealed a significant positive correlation between WC and BMI, visceral fat, hip circumference, and TC, HDL, TAG, and LDL-C levels (p < 0. 05), indicating that higher levels of atherogenic lipids are associated with increased obesity. This study also found a significant difference (p < 0. 05) in hip circumference, fat composition, muscle composition, and waist circumference between hypertensive patients and controls. The study demonstrates a notable association between anthropometric indices of obesity and adverse lipid profile parameters among hypertensive patients in the Kano Metropolis.
Source: UMYU Scientifica
Authors: Abdullahi Muhammad Umar, Nasir Sirajo Sadi, Aisha Muhammad Gadanya, Lawan Hassan Adamu, Muhammad Ali Gambo, Faiza Aliyu Ismail, Aisha Murtala
Language: English
Subfield: Endocrinology, Diabetes and Metabolism
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4410763528