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Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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Screening for pickiness - a validation study.

Silje Steinsbekk1, Trude Hamre Sveen2, Alison Fildes3

  • 1Department of Psychology, Norwegian University of Science and Technology (NTNU) Social Science, Dragvoll, 7491, Trondheim, Norway. Silje.Steinsbekk@svt.ntnu.no.

The International Journal of Behavioral Nutrition and Physical Activity
|January 8, 2017
PubMed
Summary
This summary is machine-generated.

Early detection of childhood picky eating is crucial. The validated 6-item Food Fussiness (FF) scale effectively screens for picky eating in 6-year-olds, aiding early intervention.

Keywords:
FussinessPicky eatingQuestionnaireScreeningValidation

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Area of Science:

  • Child Psychology
  • Pediatric Nutrition
  • Clinical Assessment

Background:

  • Picky eating is common in children and linked to adverse health outcomes.
  • Early identification of picky eating is essential for timely intervention.
  • A validated psychometric tool for assessing picky/fussy eating is lacking.

Purpose of the Study:

  • To evaluate the screening efficiency of the 6-item Food Fussiness (FF) scale.
  • To establish meaningful cut-off values for the FF scale in a large, representative sample.
  • To determine the FF scale's utility in identifying clinically significant picky eating.

Main Methods:

  • Utilized structured psychiatric interviews (Preschool Age Psychiatric Interview) for validation.
  • Employed receiver operating characteristic (ROC) curve analysis to assess screening efficiency.
  • Analyzed data from a large, representative sample of 752 Norwegian 6-year-olds.

Main Results:

  • The FF scale demonstrated excellent discrimination in screening for picky eating.
  • Optimal cut-points were identified: 3.33 for severe picky eating and 3.00 for moderate/severe cases.
  • The FF scale shows potential as a screening tool for identifying picky eating.

Conclusions:

  • The 6-item Food Fussiness (FF) scale is an efficient screening tool for picky eating in 6-year-olds.
  • The identified cut-off points can aid in the clinical identification of picky eating.
  • Further research may be needed to differentiate between moderate and severe picky eating cases.