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Cited by 569

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Development and psychometric evaluation of a measure of intuitive eating.

Tylka, Tracy L.·2006·Journal of Counseling Psychology

Abstract

Intuitive eating is characterized by eating based on physiological hunger and satiety cues rather than situational and emotional cues and is associated with psychological well-being. This study reports on the development and initial psychometric evaluation of the Intuitive Eating Scale (IES) with data collected in 4 studies from 1,260 college women. Exploratory factor analysis uncovered 3 factors: unconditional permission to eat, eating for physical rather than emotional reasons, and reliance on internal hunger/ satiety cues; confirmatory factor analysis suggested that this 3-factor model adequately fit the data after 4 items with factor loadings below.45 were deleted. IES scores were internally consistent and stable over a 3-week period. Supporting its construct validity, IES scores were (a) negatively related to eating disorder symptomatology, body dissatisfaction, poor interoceptive awareness, pressure for thinness, internalization of the thin ideal, and body mass; (b) positively related to several indexes of well-being; and (c) unrelated to impression management.

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Metadata

Authors
Tylka, T. L.
Venue
Journal of Counseling Psychology
Published
2006-04
Volume
53
Issue
2
Pages
226-240
ISSN
  • 0022-0167 (ISSN-L)
  • 1939-2168
OpenAlex
W1963950506
Cited by
569
References
10
FWCI
4.80
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Development and psychometric evaluation of a measure of intuitive eating. https://app.cochat.ai/papers/10.1037/0022-0167.53.2.226
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Tylka, T. L. (2006). Development and psychometric evaluation of a measure of intuitive eating. Journal of Counseling Psychology. https://doi.org/10.1037/0022-0167.53.2.226

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.