Literature DB >> 30597579

Implicit attitudes toward dieting and thinness distinguish fat-phobic and non-fat-phobic anorexia nervosa from avoidant/restrictive food intake disorder in adolescents.

Alyssa Izquierdo1,2, Franziska Plessow1,3, Kendra R Becker2,4, Christopher J Mancuso1,2, Meghan Slattery1, Helen B Murray5, Andrea S Hartmann6, Madhusmita Misra1,3, Elizabeth A Lawson1,3, Kamryn T Eddy2,4, Jennifer J Thomas2,4.   

Abstract

OBJECTIVE: The majority of individuals with anorexia nervosa (AN) have a fat-phobic (FP-AN) presentation in which they explicitly endorse fear of weight gain, but a minority present as non-fat-phobic (NFP-AN). Diagnostic criteria for avoidant/restrictive food intake disorder (ARFID) specifically exclude fear of weight gain. Differential diagnosis between NFP-AN and ARFID can be challenging and explicit endorsements do not necessarily match internal beliefs.
METHOD: Ninety-four adolescent females (39 FP-AN, 13 NFP-AN, 10 low-weight ARFID, 32 healthy controls [HC]) completed implicit association tests (IATs) categorizing statements as pro-dieting or non-dieting and true or false (questionnaire-based IAT), and images of female models as underweight or normal-weight and words as positive or negative (picture-based IAT). We used the Eating Disorder Examination to categorize FP- versus NFP-AN presentations.
RESULTS: Individuals with FP-AN and NFP-AN demonstrated a stronger association between pro-dieting and true statements, whereas those with ARFID and HCs demonstrated a stronger association between pro-dieting and false statements. Furthermore, while all groups demonstrated a negative implicit association with underweight models, HC participants had a significantly stronger negative association than individuals with FP-AN and NFP-AN. DISCUSSION: Individuals with NFP-AN exhibited a mixed pattern in which some of their implicit associations were consistent with their explicit endorsements, whereas others were not, possibly reflecting a minimizing response style on explicit measures. In contrast, individuals with ARFID demonstrated implicit associations consistent with explicit endorsements. Replication studies are needed to confirm whether the questionnaire-based IAT is a promising method of differentiating between restrictive eating disorders that share similar clinical characteristics.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  ARFID; IAT; anorexia nervosa; avoidant/restrictive food intake disorder; dieting; drive for thinness; implicit association test

Mesh:

Year:  2018        PMID: 30597579      PMCID: PMC6485241          DOI: 10.1002/eat.22981

Source DB:  PubMed          Journal:  Int J Eat Disord        ISSN: 0276-3478            Impact factor:   4.861


  20 in total

1.  Understanding and using the implicit association test: I. An improved scoring algorithm.

Authors:  Anthony G Greenwald; Brian A Nosek; Mahzarin R Banaji
Journal:  J Pers Soc Psychol       Date:  2003-08

Review 2.  Should non-fat-phobic anorexia nervosa be included in DSM-V?

Authors:  Anne E Becker; Jennifer J Thomas; Kathleen M Pike
Journal:  Int J Eat Disord       Date:  2009-11       Impact factor: 4.861

3.  Measuring individual differences in implicit cognition: the implicit association test.

Authors:  A G Greenwald; D E McGhee; J L Schwartz
Journal:  J Pers Soc Psychol       Date:  1998-06

4.  Non-fat-phobic eating disorders: why we need to investigate implicit associations and neural correlates.

Authors:  Jennifer J Thomas; Andrea S Hartmann; William D S Killgore
Journal:  Int J Eat Disord       Date:  2013-07       Impact factor: 4.861

Review 5.  Avoidant/Restrictive Food Intake Disorder (ARFID).

Authors:  Jacqueline Zimmerman; Martin Fisher
Journal:  Curr Probl Pediatr Adolesc Health Care       Date:  2017-04

6.  Internalization of the ultra-thin ideal: positive implicit associations with underweight fashion models are associated with drive for thinness in young women.

Authors:  Amy L Ahern; Kate M Bennett; Marion M Hetherington
Journal:  Eat Disord       Date:  2008 Jul-Sep       Impact factor: 3.222

7.  Gastrointestinal dysfunction in Chinese patients with fat-phobic and nonfat-phobic anorexia nervosa.

Authors:  Sing Lee; King Lam Ng; Kathleen P S Kwok; Jennifer J Thomas; Anne E Becker
Journal:  Transcult Psychiatry       Date:  2012-09-21

8.  Testing the measurement invariance of the Eating Disorder Inventory in nonclinical samples of Hispanic and Caucasian women.

Authors:  Katherine E Belon; Elizabeth A McLaughlin; Jane Ellen Smith; Angela D Bryan; Katie Witkiewitz; Denise N Lash; Jaime L Winn
Journal:  Int J Eat Disord       Date:  2014-04-17       Impact factor: 4.861

9.  Underweight eating disorder without over-evaluation of shape and weight: Atypical anorexia nervosa?

Authors:  Riccardo Dalle Grave; Simona Calugi; Giulio Marchesini
Journal:  Int J Eat Disord       Date:  2008-12       Impact factor: 4.861

10.  Underweight vs. overweight/obese: which weight category do we prefer? Dissociation of weight-related preferences at the explicit and implicit level.

Authors:  M Marini
Journal:  Obes Sci Pract       Date:  2017-11-21
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  8 in total

1.  Validation of the nine item ARFID screen (NIAS) subscales for distinguishing ARFID presentations and screening for ARFID.

Authors:  Helen Burton Murray; Melissa J Dreier; Hana F Zickgraf; Kendra R Becker; Lauren Breithaupt; Kamryn T Eddy; Jennifer J Thomas
Journal:  Int J Eat Disord       Date:  2021-04-22       Impact factor: 4.861

2.  Estimated prevalence of eating disorders in Singapore.

Authors:  Sook Ning Chua; Ellen E Fitzsimmons-Craft; S Bryn Austin; Denise E Wilfley; C Barr Taylor
Journal:  Int J Eat Disord       Date:  2020-12-13       Impact factor: 4.861

3.  Therapists' Experiences of Working with Ethnic Minority Females with Eating Disorders: A Qualitative Study.

Authors:  Natalie Kanakam
Journal:  Cult Med Psychiatry       Date:  2021-05-12

4.  Cognitive Behavioral Therapy Management of a Patient with Atypical Anorexia Nervosa.

Authors:  Nisansala Liyanage; Chathurie Suraweera; Asiri Rodrigo
Journal:  Case Rep Psychiatry       Date:  2019-10-10

5.  Overcoming limitations of self-report: an assessment of fear of weight gain in anorexia nervosa and healthy controls using implicit association tests.

Authors:  Tiana Borgers; Nathalie Krüger; Silja Vocks; Jennifer J Thomas; Franziska Plessow; Andrea S Hartmann
Journal:  J Eat Disord       Date:  2021-02-18

6.  Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)-Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study.

Authors:  José Alberto Benítez-Andrades; Maria-Esther Vidal; Rafael Pastor-Vargas; María Teresa García-Ordás; José-Manuel Alija-Pérez
Journal:  JMIR Med Inform       Date:  2022-02-24

Review 7.  Implicit bias to food and body cues in eating disorders: a systematic review.

Authors:  Georgios Paslakis; Anne Deborah Scholz-Hehn; Laura Marie Sommer; Simone Kühn
Journal:  Eat Weight Disord       Date:  2020-08-08       Impact factor: 4.652

8.  Fat-Phobic and Non-Fat-Phobic Anorexia Nervosa: A Conjoint Analysis on the Importance of Shape and Weight.

Authors:  Julia Korn; Silja Vocks; Lisa H Rollins; Jennifer J Thomas; Andrea S Hartmann
Journal:  Front Psychol       Date:  2020-01-31
  8 in total

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