Anthropometric Indicators as Predictors of Adiposity and Cardiometabolic Diseases

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15NDH

Elevate your understanding of anthropometric indicators for cardiometabolic and adiposity risk assessment.

Anthropometric Indicators as Predictors of Adiposity and Cardiometabolic Diseases

Flávia Andréia Marin
Flávia Andréia Marin
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Abstract

Objective: To evaluate the ability of anthropometric indicators to identify adiposity and metabolic syndrome (MS) in patients with arterial hypertension (AH). Materials and Methods: Cross-sectional study with patients of both sexes, age≥ 20 years, with AH and overweight, and in outpatient care. Lifestyle, clinical, and anthropometric data were collected, and the following indicators were calculated: body mass index, waist-to-height ratio (WHtR), and conicity index (CI). Results: A total of 181 patients (53.3±12.6 years) participated. There was a predominance of women (69.6%), adults (69.1%), patients with obesity (81.2%) and sedentary lifestyle (79.0%).

Anthropometric Indicators as Predictors of Adiposity and Cardiometabolic Diseases

Objective: To evaluate the ability of anthropometric indicators to identify adiposity and metabolic syndrome (MS) in patients with arterial hypertension (AH). Materials and Methods: Cross-sectional study with patients of both sexes, age≥ 20 years, with AH and overweight, and in outpatient care. Lifestyle, clinical, and anthropometric data were collected, and the following indicators were calculated: body mass index, waist-to-height ratio (WHtR), and conicity index (CI). Results: A total of 181 patients (53.3±12.6 years) participated. There was a predominance of women (69.6%), adults (69.1%), patients with obesity (81.2%) and sedentary lifestyle (79.0%).

Flávia Andréia Marin
Flávia Andréia Marin

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Flávia Andréia Marin. 2026. “. Global Journal of Medical Research – K: Interdisciplinary GJMR-K Volume 23 (GJMR Volume 23 Issue K1): .

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Crossref Journal DOI 10.17406/gjmra

Print ISSN 0975-5888

e-ISSN 2249-4618

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GJMR-K Classification: DDC Code: 574.192 LCC Code: QP514.2
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Anthropometric Indicators as Predictors of Adiposity and Cardiometabolic Diseases

Flávia Andréia Marin
Flávia Andréia Marin

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