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  • Westergren, Albert,1967-Högskolan Kristianstad,Avdelningen för Hälsovetenskap,Forskningsmiljön PRO-CARE, Patient Reported Outcomes - Clinical Assessment Research and Education (author)

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

  • Article/chapterEnglish2011

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  • 2011
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  • LIBRIS-ID:oai:DiVA.org:hkr-8862
  • urn:nbn:se:hkr:diva-8862urn
  • https://doi.org/10.3402/fnr.v55i0.7289DOI

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  • Language:English
  • Summary in:English

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  • Subject category:art swepub-publicationtype

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  • BACKGROUND AND OBJECTIVE:The 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.DESIGN:Cross-sectional study.METHODS:The 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).RESULTS:According 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%.CONCLUSIONS:The suggested MEONF-II cut-off scores were statistically supported. This improves the confidence of its clinical use.

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  • Norberg, ErikaDepartments of Nutrition and Health, Central Hospital, Kristianstad (author)
  • Vallén, ChristinaDepartments of Nutrition and Health, Central Hospital, Kristianstad (author)
  • Hagell, PeterHögskolan Kristianstad,Avdelningen för Hälsovetenskap,Forskningsmiljön PRO-CARE, Patient Reported Outcomes - Clinical Assessment Research and Education(Swepub:hkr)hape (author)
  • Högskolan KristianstadAvdelningen för Hälsovetenskap (creator_code:org_t)

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  • In:Journal of Food and Nutrition Research55, s. 7289-1336-86721338-4260

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Westergren, Albe ...
Norberg, Erika
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Hagell, Peter
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MEDICAL AND HEALTH SCIENCES
MEDICAL AND HEAL ...
and Health Sciences
and Nutrition and Di ...
MEDICAL AND HEALTH SCIENCES
MEDICAL AND HEAL ...
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Journal of Food ...
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Kristianstad University College

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