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Toward an operative diagnosis of fussy/picky eating: a latent profile approach in a population-based cohort

BACKGROUND: Definitions and assessment methods of fussy/picky eating are heterogeneous and remain unclear. We aimed to identify an eating behavior profile reflecting fussy/picky eating in children and to describe characteristics of fussy eaters. METHODS: Eating behavior was assessed with the Child E...

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Autores principales: Tharner, Anne, Jansen, Pauline W, Kiefte-de Jong, Jessica C, Moll, Henriette A, van der Ende, Jan, Jaddoe, Vincent WV, Hofman, Albert, Tiemeier, Henning, Franco, Oscar H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3922255/
https://www.ncbi.nlm.nih.gov/pubmed/24512388
http://dx.doi.org/10.1186/1479-5868-11-14
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author Tharner, Anne
Jansen, Pauline W
Kiefte-de Jong, Jessica C
Moll, Henriette A
van der Ende, Jan
Jaddoe, Vincent WV
Hofman, Albert
Tiemeier, Henning
Franco, Oscar H
author_facet Tharner, Anne
Jansen, Pauline W
Kiefte-de Jong, Jessica C
Moll, Henriette A
van der Ende, Jan
Jaddoe, Vincent WV
Hofman, Albert
Tiemeier, Henning
Franco, Oscar H
author_sort Tharner, Anne
collection PubMed
description BACKGROUND: Definitions and assessment methods of fussy/picky eating are heterogeneous and remain unclear. We aimed to identify an eating behavior profile reflecting fussy/picky eating in children and to describe characteristics of fussy eaters. METHODS: Eating behavior was assessed with the Child Eating Behavior Questionnaire (CEBQ) in 4914 4-year olds in a population-based birth cohort study. Latent Profile Analysis (LPA) was used to identify eating behavior profiles based on CEBQ subscales. RESULTS AND DISCUSSION: We found a “fussy” eating behavior profile (5.6% of children) characterized by high food fussiness, slowness in eating, and satiety responsiveness in combination with low enjoyment of food and food responsiveness. Fussy eaters were more often from families with low household income than non-fussy eaters (42% vs. 31.8% respectively; Χ( 2 )(1) = 9.97, p < .01). When they were 14 months old, fussy eaters had a lower intake of vegetables (t [3008] = 2.42, p < .05) and fish (t [169.77] = 2.40, p < .05) but higher intake of savory snacks (t [153.69] = -2.03, p < .05) and sweets (t [3008] = -2.30, p < .05) compared to non-fussy eaters. Also, fussy eaters were more likely to be underweight at 4 years of age (19.3%) than non-fussy eaters (12.3%; Χ( 2 )(1) = 7.71, p < .01). CONCLUSIONS: A distinct fussy eating behavior profile was identified by LPA, which was related to family and child characteristics, food intake, and BMI. This behavior profile might be used in future research and the development of interventions.
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spelling pubmed-39222552014-02-13 Toward an operative diagnosis of fussy/picky eating: a latent profile approach in a population-based cohort Tharner, Anne Jansen, Pauline W Kiefte-de Jong, Jessica C Moll, Henriette A van der Ende, Jan Jaddoe, Vincent WV Hofman, Albert Tiemeier, Henning Franco, Oscar H Int J Behav Nutr Phys Act Research BACKGROUND: Definitions and assessment methods of fussy/picky eating are heterogeneous and remain unclear. We aimed to identify an eating behavior profile reflecting fussy/picky eating in children and to describe characteristics of fussy eaters. METHODS: Eating behavior was assessed with the Child Eating Behavior Questionnaire (CEBQ) in 4914 4-year olds in a population-based birth cohort study. Latent Profile Analysis (LPA) was used to identify eating behavior profiles based on CEBQ subscales. RESULTS AND DISCUSSION: We found a “fussy” eating behavior profile (5.6% of children) characterized by high food fussiness, slowness in eating, and satiety responsiveness in combination with low enjoyment of food and food responsiveness. Fussy eaters were more often from families with low household income than non-fussy eaters (42% vs. 31.8% respectively; Χ( 2 )(1) = 9.97, p < .01). When they were 14 months old, fussy eaters had a lower intake of vegetables (t [3008] = 2.42, p < .05) and fish (t [169.77] = 2.40, p < .05) but higher intake of savory snacks (t [153.69] = -2.03, p < .05) and sweets (t [3008] = -2.30, p < .05) compared to non-fussy eaters. Also, fussy eaters were more likely to be underweight at 4 years of age (19.3%) than non-fussy eaters (12.3%; Χ( 2 )(1) = 7.71, p < .01). CONCLUSIONS: A distinct fussy eating behavior profile was identified by LPA, which was related to family and child characteristics, food intake, and BMI. This behavior profile might be used in future research and the development of interventions. BioMed Central 2014-02-10 /pmc/articles/PMC3922255/ /pubmed/24512388 http://dx.doi.org/10.1186/1479-5868-11-14 Text en Copyright © 2014 Tharner et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Research
Tharner, Anne
Jansen, Pauline W
Kiefte-de Jong, Jessica C
Moll, Henriette A
van der Ende, Jan
Jaddoe, Vincent WV
Hofman, Albert
Tiemeier, Henning
Franco, Oscar H
Toward an operative diagnosis of fussy/picky eating: a latent profile approach in a population-based cohort
title Toward an operative diagnosis of fussy/picky eating: a latent profile approach in a population-based cohort
title_full Toward an operative diagnosis of fussy/picky eating: a latent profile approach in a population-based cohort
title_fullStr Toward an operative diagnosis of fussy/picky eating: a latent profile approach in a population-based cohort
title_full_unstemmed Toward an operative diagnosis of fussy/picky eating: a latent profile approach in a population-based cohort
title_short Toward an operative diagnosis of fussy/picky eating: a latent profile approach in a population-based cohort
title_sort toward an operative diagnosis of fussy/picky eating: a latent profile approach in a population-based cohort
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3922255/
https://www.ncbi.nlm.nih.gov/pubmed/24512388
http://dx.doi.org/10.1186/1479-5868-11-14
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