Within-subject weight variability in bulimia nervosa: Correlates and consequences.

body mass index bulimia nervosa eating disorders weight history weight variability

Journal

The International journal of eating disorders
ISSN: 1098-108X
Titre abrégé: Int J Eat Disord
Pays: United States
ID NLM: 8111226

Informations de publication

Date de publication:
05 2021
Historique:
revised: 25 02 2021
received: 23 10 2020
accepted: 26 02 2021
pubmed: 13 3 2021
medline: 16 10 2021
entrez: 12 3 2021
Statut: ppublish

Résumé

The oscillations between binge eating, purging, and dieting in bulimia nervosa (BN) may produce substantial within-subject weight variability. Although weight variability has been predictive of eating- and weight-related variables in community samples, it has not been empirically examined in eating disorders. The current study examined cross-sectional and prospective associations between weight variability and BN pathology. Four weights were collected over an average of 42.02 days, and weight variability was calculated as the root mean square error around each individual's weight trajectory regression line. Linear regressions were performed to examine the association between weight variability and eating disorder psychopathology, cross-sectionally at baseline and prospectively at 6-month follow-up, adjusting for baseline BMI. Weight variability was cross-sectionally associated with eating pathology, but these relationships became non-significant after adjusting for BMI. However, at 6-month follow-up, greater baseline weight variability predicted increases in body dissatisfaction, shape and weight concerns, and global eating pathology, even after adjusting for baseline BMI. These findings demonstrate, for the first time, that within-subject weight variability predicts greater eating disorder pathology over time in BN. The results add to evidence that weight history variables contribute to BN psychopathology above and beyond well-documented psychological dysfunction in BN.

Identifiants

pubmed: 33709469
doi: 10.1002/eat.23502
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

898-902

Subventions

Organisme : NIMH NIH HHS
ID : R01 MH095982
Pays : United States

Informations de copyright

© 2021 Wiley Periodicals LLC.

Références

Benson, L., Zhang, F., Espel-Huynh, H., Wilkinson, L., & Lowe, M. R. (2020). Weight variability during self-monitored weight loss predicts future weight loss outcome. International Journal of Obesity, 44(6), 1360-1367.
Berg, K. C., Peterson, C. B., Frazier, P., & Crow, S. J. (2011). Convergence of scores on the interview and questionnaire versions of the Eating Disorder Examination: A meta-analytic review. Psychological Assessment, 23(3), 714-724.
Cooper, Z., & Fairburn, C. (1987). The eating disorder examination: A semi-structured interview for the assessment of the specific psychopathology of eating disorders. International Journal of Eating Disorders, 6(1), 1-8.
Fairburn, C. G. (2008). Cognitive behavior therapy and eating disorders. New York, NY: Guilford Press.
Fairburn, C. G., & Beglin, S. J. (2008). Eating disorder examination questionnaire. Cognitive Behaviour Therapy and Eating Disorders, 309, 313.
Fairburn, C. G., Cooper, Z., & O'Connor, M. (1993). The eating disorder examination. International Journal of Eating Disorders, 6, 1-8.
Fairburn, C. G., Marcus, M. D., & Wilson, G. T. (1993). Cognitive-behavioral therapy for binge eating and bulimia nervosa: A comprehensive treatment manual. New York, NY: Guilford Press.
Feig, E. H., & Lowe, M. R. (2017). Variability in weight change early in behavioral weight loss treatment: Theoretical and clinical implications. Obesity, 25(9), 1509-1515.
Garner, D. M., Olmstead, M. P., & Polivy, J. (1983). Development and validation of a multidimensional eating disorder inventory for anorexia nervosa and bulimia. International Journal of Eating Disorders, 2(2), 15-34.
Lowe, M. R., Benson, L., & Singh, S. (2020). Individual differences in within-subject weight variability: There's a signal in the noise. Physiology & Behavior, 226, 113112.
Lowe, M. R., Feig, E. H., Winter, S. R., & Stice, E. (2015). Short-term variability in body weight predicts long-term weight gain. The American Journal of Clinical Nutrition, 102(5), 995-999.
Lowe, M. R., Piers, A. D., & Benson, L. (2018). Weight suppression in eating disorders: A research and conceptual update. Current Psychiatry Reports, 20(10), 80.
RStudio Team. (2020). RStudio: Integrated development for R. Boston, MA: RStudio, PBC. http://www.rstudio.com/
Shaw, J. A., Herzog, D. B., Clark, V. L., Berner, L. A., Eddy, K. T., Franko, D. L., & Lowe, M. R. (2012). Elevated pre-morbid weights in bulimic individuals are usually surpassed post-morbidly: Implications for perpetuation of the disorder. International Journal of Eating Disorders, 45(4), 512-523.
Stice, E., Rohde, P., Shaw, H., & Desjardins, C. (2020). Weight suppression increases odds for future onset of anorexia nervosa, bulimia nervosa, and purging disorder, but not binge eating disorder. The American Journal of Clinical Nutrition, 112, 941-947.
Winter, S. R., Yokum, S., Stice, E., Osipowicz, K., & Lowe, M. R. (2017). Elevated reward response to receipt of palatable food predicts future weight variability in healthy-weight adolescents. The American Journal of Clinical Nutrition, 105(4), 781-789.

Auteurs

Joanna Y Chen (JY)

Department of Psychology, Drexel University, Philadelphia, PA.

Simar Singh (S)

Department of Psychology, Drexel University, Philadelphia, PA.

Michael R Lowe (MR)

Department of Psychology, Drexel University, Philadelphia, PA.

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