Evidence map›Paper›PMID 41859659›Full record

ArticleFrontiers in nutrition2026

Weight estimation in people aged 65 years and over admitted to hospitalisations units.

Joaquín Moncho, Eva María Trescastro-López, Patricia Navarro-Llopes, Cristina Carretero-Randez, Rafaela Camacho-Bejarano, María Trinidad Castillo-García, María Isabel Orts-Cortés, NUTRIFAG Group

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Article in Frontiers in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Joaquín MonchoResearch Unit for the Analysis of Mortality and Health Statistics, Department of Community Nursing, Preventive Medicine, Public Health and History of Science, University of Alicante, Alicante, Spain.
Eva María Trescastro-LópezAlicante Institute for Health and Biomedical Research (Group 23, ISABIAL), Alicante, Spain.
Patricia Navarro-LlopesFaculty of Health Sciences, University of Alicante, Alicante, Spain.
Cristina Carretero-RandezNursing in the Burns Unit, University and Polytechnic Hospital La Fe, Valencia, Spain.
Rafaela Camacho-BejaranoDepartment of Nursing, Faculty of Nursing, University of Huelva, Huelva, Spain.
María Trinidad Castillo-GarcíaAlicante Institute for Health and Biomedical Research (Group 23, ISABIAL), Alicante, Spain.
María Isabel Orts-CortésAlicante Institute for Health and Biomedical Research (Group 23, ISABIAL), Alicante, Spain.
NUTRIFAG Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Malnutrition remains highly prevalent among hospitalised older adults, yet obtaining an accurate body weight, an essential parameter for nutritional assessment, medication dosing, and broader clinical decision-making, often poses substantial challenges in routine care. In patients with reduced mobility, direct weight measurement is frequently unfeasible due to limitations in available equipment and clinical resources. This study aimed to evaluate the validity and accuracy of three commonly used body-weight estimation equations and to develop and internally validate a new predictive model specifically designed for hospitalised adults aged ≥65 years. Materials and methods: A multicentre, cross-sectional study was conducted in nine Spanish hospitals using data from the NUTRIFAG research project, which investigates the nutritional status of hospitalized older adults and was carried out between October 2022 and February 2024. Measured weight, mid-arm circumference (BC), mid-calf circumference (CC), and heel-knee length (KH) were obtained following standardized procedures. Agreement between measured and estimated weight from three published equations was analyzed using intraclass correlation coefficients (ICC), linear regression, and Bland-Altman plots. A new predictive equation was developed through multiple linear regression in a derivation sample (60%) and validated in an independent subsample (40%). The impact of weight estimation on BMI and BMI-based nutritional according to GLIM criteria was also examined. Results: A total of 1,196 patients were included (54.7% men, 45.3% women; mean age 78.27 ± 7.95 years). All three reference equations systematically underestimated measured weight, particularly in men. Equation 1 yielded the highest consistency ICC (men = 0.769; women = 0.834) but lower absolute agreement. The new two-variable model (BC + CC) demonstrated good predictive capacity (R Conclusion: The proposed equation based on mid-arm and mid-calf circumferences offers a simple, accurate, and clinically applicable method for estimating body weight in hospitalized older adults with reduced mobility. By reducing BMI classification errors, its use may contribute to more appropriate nutritional assessment and clinical decision-making. External validation in other settings is recommended.

Indexed as

agedanthropometrybody weighthospitalizationmalnutritionnutrition

Identifiers

PMID41859659
PMCPMC12998235

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