A retrospective study of a weight estimation model for hospitalized bedridden patients based on anthropometric parameters.

ABSTRACT:

Objective

The aim of this study was to construct a weight estimation model for bedridden patients using anthropometric parameters that are readily obtainable during routine clinical care.

Methods

A retrospective study was conducted involving 494 bedridden inpatients from the Department of Endocrinology of a tertiary general hospital (February 2023-February 2024). Weight was measured via a calibrated wheelchair scale. Anthropometric parameters (age, height, wrist, lower limb, waist, and hip circumferences) were measured in the supine position by trained researchers using standardized tools and specific anatomical landmarks. The estimation models were developed using stepwise regression.

Results

The final models demonstrated excellent performance. The male model achieve

SUBMITTER: Luo A 

PROVIDER: S-EPMC12897344 | biostudies-literature | 2026

REPOSITORIES: biostudies-literature