Cross-validation of prediction equations for estimating the body mass index in adults without the use of body weight.

ABSTRACT:

Introduction

Body Mass Index (BMI) is a widely accepted measure by the World Health Organization for assessing body composition, as it provides critical insights into health risks, life expectancy, and quality of life. However, in resource-limited settings, access to weighing scales is often inadequate, and environmental conditions, such as unstable terrain, may hinder accurate weight measurements. In these contexts, alternative methods for estimating BMI become essential for effective health assessment. This study aimed to develop and validate equations to estimate BMI without relying on body weight, providing a practical tool for nutritional assessment where traditional methods are not feasible.

Materials and methods

Adults aged 18 to 59 of both sexes were included. Variab

SUBMITTER: Nunes Filho JCC 

PROVIDER: S-EPMC11844915 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature