Discriminative ability of a nutritional risk questionnaire applied to patients with celiac disease

A questionnaire can be a rapid tool to identify nutritional risk, allowing early intervention, especially in people with diseases such as celiac disease, where poor absorption of nutrients can cause severe deficiencies. This study assessed nutritional risk in 35 patients with prior informed consent, using a validated questionnaire, and analyzing its sensitivity and specificity. The study revealed that 65.7% are malnourished, with 48.6% underweight, especially children (72.7%) and adults (54.5%). In addition, 5.7% of patients, especially young people, are obese (16.7%). The application of the “Nutritional Screening Initiative” questionnaire showed that 66.7% are at nutritional risk, requiring improved eating habits. The correlation analysis indicated a significant association between BMI and nutritional risk. The ROC curve indicated a low discriminatory capacity, although the sensitivity was high (91.7%), correctly identifying cases at nutritional risk. However, at other thresholds, decision-making is almost random, as indicated by the sensitivity and specificity. It is concluded that the ROC curve suggested limitations in the capacity to discriminate nutritional risk, with a high sensitivity but moderate specificity. It is crucial to implement personalized nutritional interventions and improve classification models to more accurately identify risk in this population.

Authors

Institutions

Publication Details

Journal
Data & Metadata
Published
2025-02-10
DOI
https://doi.org/10.56294/dm2025204
Primary Topic
Nutrition and Health in Aging
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Discriminative ability of a nutritional risk questionnaire applied to patients with celiac disease

Deysi Guevara-Freire, Cristina Arteaga, Kattyta Patricia Hidalgo Morales, Carmen Patricia Viteri Robayo et al.
Data & Metadata
Nutrition and Health in Aging
article

Discriminative ability of a nutritional risk questionnaire applied to patients with celiac disease

Deysi Guevara-Freire, Cristina Arteaga, Kattyta Patricia Hidalgo Morales, Carmen Patricia Viteri Robayo, Verónica Alexandra Robayo Zurita
article en

Abstract

A questionnaire can be a rapid tool to identify nutritional risk, allowing early intervention, especially in people with diseases such as celiac disease, where poor absorption of nutrients can cause severe deficiencies. This study assessed nutritional risk in 35 patients with prior informed consent, using a validated questionnaire, and analyzing its sensitivity and specificity. The study revealed that 65.7% are malnourished, with 48.6% underweight, especially children (72.7%) and adults (54.5%). In addition, 5.7% of patients, especially young people, are obese (16.7%). The application of the “Nutritional Screening Initiative” questionnaire showed that 66.7% are at nutritional risk, requiring improved eating habits. The correlation analysis indicated a significant association between BMI and nutritional risk. The ROC curve indicated a low discriminatory capacity, although the sensitivity was high (91.7%), correctly identifying cases at nutritional risk. However, at other thresholds, decision-making is almost random, as indicated by the sensitivity and specificity. It is concluded that the ROC curve suggested limitations in the capacity to discriminate nutritional risk, with a high sensitivity but moderate specificity. It is crucial to implement personalized nutritional interventions and improve classification models to more accurately identify risk in this population.

Data & MetadataVol. 4
Universidad Técnica de Ambato (EC)
Universidad Técnica de Ambato
Openalex Percentile: Top 96%
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.