Operationalizing the malnutrition-based chronic disease model in adults

The malnutrition-based chronic disease (MBCD) model for use in adults to optimize nutrition care is a framework based on epidemiological classifiers, pathophysiological mechanisms, and clinical evidence, designed to address persistent research, knowledge, and practice gaps. This model incorporates the triple burdens of undernutrition, overnutrition, and micronutrient derangement, disambiguates nutrition medicine terminology, exposes early opportunities for prevention, emphasizes a complications-centric approach, and codifies precise actions. MBCD consists of four stages (1- nutrition risk; 2- nutrition imbalance; 3- nutrition disease; and 4- nutrition complications), impelled by primary (genetics, environment, and behavior), secondary (pathophysiology), and tertiary (social/structural/cultural determinants) drivers. In this paper, we begin the operationalization process of the MBCD model by providing evidence for stage-specific metrics and interventions to enable successful implementation. A search for articles was performed from May 1 to November 1, 2025. The MBCD model aligns with the evolving nutrition medicine ecosystem (including the Global Leadership Initiative on Malnutrition framework), artificial intelligence enabled informatics, and interdisciplinary team approach to improve nutrition research, education, and clinical practice. Adaptations to this model, particularly in pediatrics, are encouraged as new scientific information emerges. This operationalized model requires implementation and empiric validation in diverse populations and clinical settings to accommodate future scientific and experiential realities in the nutrition space.

Authors

Institutions

Publication Details

Journal
Clinical Nutrition ESPEN
Published
2026-02-24
DOI
https://doi.org/10.1016/j.clnesp.2026.102981
Primary Topic
Nutrition and Health in Aging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Operationalizing the malnutrition-based chronic disease model in adults

Carolyn Newberry, Jamie Bering, Jayshil J. Patel, Stephen A. McClave et al.
Clinical Nutrition ESPEN
Nutrition and Health in Aging
article

Operationalizing the malnutrition-based chronic disease model in adults

Carolyn Newberry, Jamie Bering, Jayshil J. Patel, Stephen A. McClave, Jeffrey I. Mechanick, Manpreet S. Mundi, Lindsey Russell, Christian Stoppe
article en

Abstract

The malnutrition-based chronic disease (MBCD) model for use in adults to optimize nutrition care is a framework based on epidemiological classifiers, pathophysiological mechanisms, and clinical evidence, designed to address persistent research, knowledge, and practice gaps. This model incorporates the triple burdens of undernutrition, overnutrition, and micronutrient derangement, disambiguates nutrition medicine terminology, exposes early opportunities for prevention, emphasizes a complications-centric approach, and codifies precise actions. MBCD consists of four stages (1- nutrition risk; 2- nutrition imbalance; 3- nutrition disease; and 4- nutrition complications), impelled by primary (genetics, environment, and behavior), secondary (pathophysiology), and tertiary (social/structural/cultural determinants) drivers. In this paper, we begin the operationalization process of the MBCD model by providing evidence for stage-specific metrics and interventions to enable successful implementation. A search for articles was performed from May 1 to November 1, 2025. The MBCD model aligns with the evolving nutrition medicine ecosystem (including the Global Leadership Initiative on Malnutrition framework), artificial intelligence enabled informatics, and interdisciplinary team approach to improve nutrition research, education, and clinical practice. Adaptations to this model, particularly in pediatrics, are encouraged as new scientific information emerges. This operationalized model requires implementation and empiric validation in diverse populations and clinical settings to accommodate future scientific and experiential realities in the nutrition space.

Clinical Nutrition ESPENVol. 72
Cleveland Clinic (US), Mayo Clinic (US), University of Louisville (US), Medical College of Wisconsin (US), Cornell University (US), WinnMed (US), Mount Sinai Hospital (US), Mayo Clinic in Arizona (US), Universitätsklinikum Würzburg (DE), Icahn School of Medicine at Mount Sinai (US)
Zero hunger
Openalex Percentile: Top 45%
Nutrition and Health in Aging
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.