Fat mass prediction equations and reference ranges for Saudi Arabian Children aged 8-12 years using machine technique method.

ABSTRACT:

Background

The number of children with obesity has increased in Saudi Arabia, which is a significant public health concern. Early diagnosis of childhood obesity and screening of the prevalence is needed using a simple in situ method. This study aims to generate statistical equations to predict body fat percentage (BF%) for Saudi children by employing machine learning technology and to establish gender and age-specific body fat reference range.

Methods

Data was combined from two cross-sectional studies conducted in Saudi Arabia for 1,292 boys and girls aged 8-12 years. Body fat was measured in both studies using bio-electrical impedance analysis devices. Height and weight were measured and body mass index was calculated and classified according to CDC 2,000 charts. A total of

SUBMITTER: Alkutbe RB 

PROVIDER: S-EPMC7908871 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature