Literature DB >> 19302885

A consultation with genetic information about obesity decreases self-blame about eating and leads to realistic weight loss goals in obese individuals.

Matthias Conradt1, Jan-Michael Dierk, Pia Schlumberger, Christina Albohn, Elisabeth Rauh, Anke Hinney, Johannes Hebebrand, Winfried Rief.   

Abstract

OBJECTIVE: This study tested the effects of a consultation using genetic information about obesity on attitudes relating to weight loss goals, self-blame about eating, and weight-related coping in obese individuals. Furthermore, the study sought to explore possible predictors for weight gain/loss.
METHOD: A total of 411 obese individuals were randomly assigned to two standardized consultations, with and without genetic information about obesity, and a control group without any intervention. After a 6-month follow-up, 253 obese individuals of the intervention groups and 98 individuals of the control group had a complete dataset. Data were analyzed regarding the independent variables assessment time, treatment group, and the familial predisposition (at least one obese parent or sibling). As dependent measures, attitudes about weight loss goals, weight-related self-blame, coping, and body shame were assessed via questionnaire or interview.
RESULTS: Individuals with and without a familial predisposition profited in different ways from a consultation using genetic information about obesity: at follow-up, individuals with a familial predisposition reported mainly a relieving effect (less self-blame about eating). Both groups reported an adjustment to more realistic weight loss goals and a greater satisfaction with a 5% weight loss. Furthermore, the more negative obese individuals felt about their current weight at baseline, the higher the risk that these individuals had gained weight at follow-up.
CONCLUSION: A consultation focusing on genetic factors might be helpful for obese individuals regardless of their familial predisposition, but only predisposed individuals showed a decrease in self-blame about eating. Negative thoughts and feelings about current weight might predict future weight gain.

Entities:  

Mesh:

Year:  2008        PMID: 19302885     DOI: 10.1016/j.jpsychores.2008.09.003

Source DB:  PubMed          Journal:  J Psychosom Res        ISSN: 0022-3999            Impact factor:   3.006


  12 in total

Review 1.  Genetic Testing for Obesity: Implications and Challenges.

Authors:  Mary Segal
Journal:  Curr Obes Rep       Date:  2017-03

2.  Predictors of a Healthy Eating Disorder Examination-Questionnaire (EDE-Q) Score 1 Year After Bariatric Surgery.

Authors:  Daniel Gero; Stefanos Tzafos; Gabriella Milos; Philipp A Gerber; Diana Vetter; Marco Bueter
Journal:  Obes Surg       Date:  2019-03       Impact factor: 4.129

3.  A randomized trial of the clinical utility of genetic testing for obesity: design and implementation considerations.

Authors:  Catharine Wang; Erynn S Gordon; Catharine B Stack; Ching-Ti Liu; Tricia Norkunas; Lisa Wawak; Michael F Christman; Robert C Green; Deborah J Bowen
Journal:  Clin Trials       Date:  2013-11-11       Impact factor: 2.486

4.  Online communication about genetics and body weight: implications for health behavior and internet-based education.

Authors:  Susan Persky; Saskia C Sanderson; Laura M Koehly
Journal:  J Health Commun       Date:  2012-11-29

5.  'Battling my biology': psychological effects of genetic testing for risk of weight gain.

Authors:  S F Meisel; J Wardle
Journal:  J Genet Couns       Date:  2013-07-06       Impact factor: 2.537

6.  A randomized trial of genetic information for personalized nutrition.

Authors:  Daiva E Nielsen; Ahmed El-Sohemy
Journal:  Genes Nutr       Date:  2012-03-11       Impact factor: 5.523

7.  Evaluating Approaches for Communication About Genomic Influences on Body Weight.

Authors:  Susan Persky; Richard L Street
Journal:  Ann Behav Med       Date:  2015-10

8.  Responses to FTO genetic test feedback for obesity in a sample of overweight adults: a qualitative analysis.

Authors:  S F Meisel; J Wardle
Journal:  Genes Nutr       Date:  2013-12-01       Impact factor: 5.523

9.  Genetic test feedback with weight control advice: study protocol for a randomized controlled trial.

Authors:  Susanne F Meisel; Rebecca J Beeken; Cornelia H M van Jaarsveld; Jane Wardle
Journal:  Trials       Date:  2012-12-06       Impact factor: 2.279

10.  Interest in and reactions to genetic risk information: The role of implicit theories and self-affirmation.

Authors:  Jennifer M Taber; William M P Klein; Susan Persky; Rebecca A Ferrer; Annette R Kaufman; Chan L Thai; Peter R Harris
Journal:  Soc Sci Med       Date:  2017-08-14       Impact factor: 5.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.