Literature DB >> 27042872

Psychometric Analysis of the Three-Factor Eating Questionnaire-R18V2 in Adolescent and Young Adult-Aged Central Nervous System Tumor Survivors.

Maria C Swartz1, Karen M Basen-Engquist2, Christine Markham3, Elizabeth J Lyons1, Matthew Cox2, Joya Chandra4, Joann L Ater4, Martha A Askins4, Michael E Scheurer5, Philip J Lupo5, Rachel Hill6, Jeffrey Murray6, Wenyaw Chan7, Paul R Swank3.   

Abstract

PURPOSE: Adolescent and young adult (AYA)-aged central nervous system (CNS) tumor survivors are an understudied population that is at risk of developing adverse health outcomes, such as obesity. Long-term follow-up guidelines recommend monitoring those at risk of obesity, thus motivating the need for an eating behavior questionnaire. An abbreviated online version of the Three-Factor Eating Questionnaire (TFEQ-R18v2) has been developed, but its applicability to this population is not yet known. This study investigated the instrument's factor structure and reliability in this population.
METHODS: AYA-aged CNS tumor survivors (n = 114) aged 15-39 years completed the TFEQ-R18V2 questionnaire online. Confirmatory factor analysis was used to examine the fit of the three-factor structure (uncontrollable eating, cognitive restraint, and emotional eating [EE]) and reliability (internal consistency of the TFEQ-R18v2). Associations between the three factors and body mass index (BMI) were assessed by linear regression.
RESULTS: The theorized three-factor structure was supported in our population (RMSEA = 0.056 and CFI = 0.98) and demonstrated good reliability (α of 0.81-0.93). EE (β = 0.07, 95% CI 0.02-0.13) was positively associated with BMI, whereas the other two subscale scores were not.
CONCLUSION: The TFEQ-R18v2 instrument holds promise for research and clinical use among AYA-aged CNS tumor survivors. The instrument may be a useful tool for researchers to develop tailored weight management strategies. It also may be a valuable tool for clinicians to monitor survivors who are at risk of obesity and to facilitate referral. Our results also suggest that EE in this population should be further investigated as a potential target for intervention.

Entities:  

Keywords:  cancer care continuum; central nervous system (CNS) tumor; diet; prevention; survivorship

Mesh:

Year:  2016        PMID: 27042872      PMCID: PMC5031087          DOI: 10.1089/jayao.2015.0058

Source DB:  PubMed          Journal:  J Adolesc Young Adult Oncol        ISSN: 2156-5333            Impact factor:   2.223


  36 in total

1.  Genetic and environmental influences on eating behavior: the Swedish Young Male Twins Study.

Authors:  Sanna Tholin; Finn Rasmussen; Per Tynelius; Jan Karlsson
Journal:  Am J Clin Nutr       Date:  2005-03       Impact factor: 7.045

2.  Is restrained eating a risk factor for weight gain in a general population?

Authors:  Blandine de Lauzon-Guillain; Arnaud Basdevant; Monique Romon; Jan Karlsson; Jean-Michel Borys; M Aline Charles
Journal:  Am J Clin Nutr       Date:  2006-01       Impact factor: 7.045

3.  Aspects of eating behaviors "disinhibition" and "restraint" are related to weight gain and BMI in women.

Authors:  Nicholas P Hays; Susan B Roberts
Journal:  Obesity (Silver Spring)       Date:  2008-01       Impact factor: 5.002

4.  Survivors of childhood cancer and their guardians.

Authors:  Wendy Demark-Wahnefried; Cary Werner; Elizabeth C Clipp; Ann Bebe Guill; Melanie Bonner; Lee W Jones; Philip M Rosoff
Journal:  Cancer       Date:  2005-05-15       Impact factor: 6.860

5.  Psychometric properties and factor structure of the Three-Factor Eating Questionnaire (TFEQ) in obese men and women. Results from the Swedish Obese Subjects (SOS) study.

Authors:  J Karlsson; L O Persson; L Sjöström; M Sullivan
Journal:  Int J Obes Relat Metab Disord       Date:  2000-12

Review 6.  A comparison of direct vs. self-report measures for assessing height, weight and body mass index: a systematic review.

Authors:  S Connor Gorber; M Tremblay; D Moher; B Gorber
Journal:  Obes Rev       Date:  2007-07       Impact factor: 9.213

7.  The Three-Factor Eating Questionnaire-R18 is able to distinguish among different eating patterns in a general population.

Authors:  Blandine de Lauzon; Monique Romon; Valérie Deschamps; Lionel Lafay; Jean-Michel Borys; Jan Karlsson; Pierre Ducimetière; M Aline Charles
Journal:  J Nutr       Date:  2004-09       Impact factor: 4.798

8.  Restrained eating and BMI: a longitudinal study among adolescents.

Authors:  Harriëtte M Snoek; Tatjana van Strien; Jan M A M Janssens; Rutger C M E Engels
Journal:  Health Psychol       Date:  2008-11       Impact factor: 4.267

9.  The use of dextroamphetamine to treat obesity and hyperphagia in children treated for craniopharyngioma.

Authors:  Patrick W Mason; Nicolas Krawiecki; Lillian R Meacham
Journal:  Arch Pediatr Adolesc Med       Date:  2002-09

10.  Eating behaviors and indexes of body composition in men and women from the Québec family study.

Authors:  Véronique Provencher; Vicky Drapeau; Angelo Tremblay; Jean-Pierre Després; Simone Lemieux
Journal:  Obes Res       Date:  2003-06
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