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      Adaptation and validation of the Hungarian version of the Yale Food Addiction Scale for Children

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          Abstract

          Background

          Childhood obesity proves to be an important public health issue, since it serves as a potential risk factor for multiple diseases. Food addiction could also serve as an important etiological factor. As childhood obesity plays a serious issue also in Hungary, we aimed to adapt and validate the Hungarian version of the Yale Food Addiction Scale for Children (H-YFAS-C).

          Methods

          A total of 191 children were assessed with the H-YFAS-C and the Eating Disorder Inventory (EDI). The following psychometric properties were analyzed: internal consistency, construct validity, convergent, and discriminant validity.

          Results

          A good construct validity was revealed by confirmatory factor analysis (RMSEA = 0.0528, CFI = 0.896, χ 2 value = 279.06). Question 25 proved to have no significant effect on its group and was removed from further analyses. The Kuder–Richardson 20 coefficient indicated good internal consistency (K20 = 0.82). With the use of the eight EDI subscales, a good convergent and discriminant validity could be determined. Food addiction was diagnosed in 8.9% of children. The mean symptom count was 1.7 ± 1.2 (range: 0–7). Females were more often diagnosed with food addiction than males ( p = .016; OR = 3.6, 95% CI: 1.2–10.6). BMI percentiles were significantly higher in children with diagnosed food addiction ( p = .003). There proved to be no correlation between age and the occurrence of food addiction.

          Discussion and conclusion

          Our results show that H-YFAS-C is a good and reliable tool for addictive-like behavior assessment.

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          Most cited references29

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          lavaan: AnRPackage for Structural Equation Modeling

          Yves Rosseel (2012)
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            Cross-cultural adaptation of health-related quality of life measures: Literature review and proposed guidelines

            Francis Guillemin, Claire Bombardier, Dorcas E. Beaton (1993)
            Clinicians and researchers without a suitable health-related quality of life (HRQOL) measure in their own language have two choices: (1) to develop a new measure, or (2) to modify a measure previously validated in another language, known as a cross-cultural adaptation process. We propose a set of standardized guidelines for this process based on previous research in psychology and sociology and on published methodological frameworks. These guidelines include recommendations for obtaining semantic, idiomatic, experiential and conceptual equivalence in translation by using back-translation techniques and committee review, pre-testing techniques and re-examining the weight of scores. We applied these guidelines to 17 cross-cultural adaptation of HRQOL measures identified through a comprehensive literature review. The reporting standards varied across studies but agreement between raters in their ratings of the studies was substantial to almost perfect (weighted kappa = 0.66-0.93) suggesting that the guidelines are easy to apply. Further research is necessary in order to delineate essential versus optional steps in the adaptation process.
            Article 0 comments Cited 689 times – based on 0 reviews     Review now
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              Extended international (IOTF) body mass index cut-offs for thinness, overweight and obesity : Extended international BMI cut-offs

              T. J. Cole, T. Lobstein (2012)
              The international (International Obesity Task Force; IOTF) body mass index (BMI) cut-offs are widely used to assess the prevalence of child overweight, obesity and thinness. Based on data from six countries fitted by the LMS method, they link BMI values at 18 years (16, 17, 18.5, 25 and 30 kg m(-2)) to child centiles, which are averaged across the countries. Unlike other BMI references, e.g. the World Health Organization (WHO) standard, these cut-offs cannot be expressed as centiles (e.g. 85th). To address this, we averaged the previously unpublished L, M and S curves for the six countries, and used them to derive new cut-offs defined in terms of the centiles at 18 years corresponding to each BMI value. These new cut-offs were compared with the originals, and with the WHO standard and reference, by measuring their prevalence rates based on US and Chinese data. The new cut-offs were virtually identical to the originals, giving prevalence rates differing by < 0.2% on average. The discrepancies were smaller for overweight and obesity than for thinness. The international and WHO prevalences were systematically different before/after age 5. Defining the international cut-offs in terms of the underlying LMS curves has several benefits. New cut-offs are easy to derive (e.g. BMI 35 for morbid obesity), and they can be expressed as BMI centiles (e.g. boys obesity = 98.9th centile), allowing them to be compared with other BMI references. For WHO, median BMI is relatively low in early life and high at older ages, probably due to its method of construction. © 2012 The Authors. Pediatric Obesity © 2012 International Association for the Study of Obesity.
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                Author and article information

                Journal
                Journal ID (nlm-ta): J Behav Addict
                Journal ID (iso-abbrev): J Behav Addict
                Journal ID (pmc): jba
                Journal ID (publisher-id): JBA
                Title: Journal of Behavioral Addictions
                Publisher: Akadémiai Kiadó (Budapest )
                ISSN (Print): 2062-5871
                ISSN (Electronic): 2063-5303
                Publication date (Electronic, pub): 30 January 2018
                Publication date (Print, pub): March 2018
                Volume: 7
                Issue: 1
                Pages: 181-188
                Affiliations
                [1 ]Faculty of Medicine, Department of Pediatrics, University of Pécs , Pécs, Hungary
                [2 ]Faculty of Medicine, Department of Neurology, University of Pécs , Pécs, Hungary
                [3 ]Department of Psychology, University of Michigan , Ann Arbor, MI, USA
                [4 ]Faculty of Science, Institute of Sport Sciences and Physical Education, University of Pécs , Pécs, Hungary
                [5 ]Faculty of Business and Economics, University of Pécs , Pécs, Hungary
                [6 ]Faculty of Medicine, Department of Psychiatry and Psychotherapy, University of Pécs , Pécs, Hungary
                Author notes
                [* ]Corresponding author: Dalma Tényi; Faculty of Medicine, Department of Neurology, University of Pécs, Rét u.2., 7623 Pécs, Hungary; Phone: +36 72 536 000; Fax: +36 72 535 911; E-mail: tenyidalma@ 123456gmail.com
                Article
                DOI: 10.1556/2006.7.2018.03
                PMC ID: 6035032
                PubMed ID: 29383940
                SO-VID: 4460a0fe-4be4-4e6b-99da-10bc5b155787
                Copyright © © 2018 The Author(s)
                License:

                This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium for non-commercial purposes, provided the original author and source are credited, a link to the CC License is provided, and changes – if any – are indicated.

                History
                Date received : 14 June 2017
                Date revision received : 29 November 2017
                Date revision received : 13 December 2017
                Date accepted : 07 January 2018
                Page count
                Figures: 0, Tables: 2, Equations: 0, References: 28, Pages: 8
                Funding
                Funding sources: TT was supported by the National Brain Research Program Grant no. NAP KTIA NAP-A-II/12. JJ was supported by the National Brain Research Program Grant no. KTIA NAP-13-a-II/9. DT was supported by the ÚNKP-16-3 New National Excellence Program of The Ministry of Human Capacities.
                Categories
                Subject: Full-Length Report

                Keywords: food addiction,food addiction assessment,obesity,public health,yale food addiction scale for children
                Data availability:
                Keywords: food addiction, food addiction assessment, obesity, public health, yale food addiction scale for children

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