Evidence map›Paper›PMID 21814520›Full record

ArticleFood & nutrition research2011

Cut-off scores for the Minimal Eating Observation and Nutrition Form - Version II (MEONF-II) among hospital inpatients.

Albert Westergren, Erika Norberg, Christina Vallén, Peter Hagell

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Article in Food & nutrition research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
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6citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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6 citing papers in PubMed.

  1. Observational
  2. Sarcopenia, malnutrition, and fatigue in de Novo Parkinson's disease- support for early rehabilitation.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Albert WestergrenDepartment of Clinical Nursing Sciences, School of Health and Society, Kristianstad University, Kristianstad, Sweden.
Erika Norberg
Christina Vallén
Peter Hagell

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveThe newly developed Minimal Eating Observation and Nutrition Form - Version II (MEONF-II) has shown promising sensitivity and specificity in relation to the Mini Nutritional Assessment (MNA). However, the suggested MEONF-II cut-off scores for deciding low/moderate and high risk for undernutrition (UN) (>2 and >4, respectively) have not been decided based on statistical criteria but on clinical reasoning. The objective of this study was to identify the optimal cut-off scores for the MEONF-II in relation to the well-established MNA based on statistical criteria.

designCross-sectional study.

methodsThe study included 187 patients (mean age, 77.5 years) assessed for nutritional status with the MNA (full version), and screened with the MEONF-II. The MEONF-II includes assessments of involuntary weight loss, Body Mass Index (BMI) (or calf circumference), eating difficulties, and presence of clinical signs ofUN. MEONF-II data were analysed by Receiver Operating Characteristics (ROC) curves and the area under the curve (AUC); optimal cut-offs were identified by the Youden index (J=sensitivity+specificity-1).

resultsAccording to the MEONF-II, 41% were at moderate or high UN risk and according to the MNA, 50% were at risk or already undernourished. The suggested cut-off scores were supported by the Youden indices. The lower cut-off for MEONF-II, used to identify any level of risk for UN (>2; J=0.52) gave an overall accuracy of 76% and the AUC was 80%. The higher cut-off for identifying those with high risk for UN (>4; J=0.33) had an accuracy of 63% and the AUC was 70%.

conclusionsThe suggested MEONF-II cut-off scores were statistically supported. This improves the confidence of its clinical use.

Indexed as

cut-off scoresMEOFMEONFMNAnutritional screeningROC-curve

Identifiers

PMID21814520
PMCPMC3149411

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