Validation of anthropometric-based weight prediction equations among Ugandan adults: A Cross-sectional study

In emergency settings with an absent patient-reported weight or an appropriate weighing scale, using Rabito equation 3 for weight prediction can be used as an accurate alternative. However, fine-tuning will be required before its recommendation for general use.

Authors

Institutions

Publication Details

Journal
PLoS ONE
Published
2025-12-26
DOI
https://doi.org/10.1371/journal.pone.0306416
Primary Topic
Body Composition Measurement Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Validation of anthropometric-based weight prediction equations among Ugandan adults: A Cross-sectional study

Fred Nuwaha, Juliet Ntuulo Mutanda, Victoria Nankabirwa, Christopher Lwanga et al.
PLoS ONE
Body Composition Measurement Techniques
article

Validation of anthropometric-based weight prediction equations among Ugandan adults: A Cross-sectional study

Fred Nuwaha, Juliet Ntuulo Mutanda, Victoria Nankabirwa, Christopher Lwanga, Ronnie Kasirye, Emmanuel Olal, Zakaria Mukasa
article en

Abstract

In emergency settings with an absent patient-reported weight or an appropriate weighing scale, using Rabito equation 3 for weight prediction can be used as an accurate alternative. However, fine-tuning will be required before its recommendation for general use.

PLoS ONEVol. 20(12)
Gulu University (UG), MUJHU Research Collaboration (UG), Makerere University (UG)
European and Developing Countries Clinical Trials Partnership
Zero hunger
Openalex Percentile: Top 33%
Body Composition Measurement Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.