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Cited by 68Eating Disorders and BehaviorsObesity, Physical Activity, DietObesity and Health Practices

Weight cycling in treatment-seeking obese persons: data from the QUOVADIS study

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and the QUOVADIS Study Group, Marchesini, G, Cuzzolaro, M, Mannucci, E, Grave, R Dalle, Gennaro, M, Tomasi, F, Barantani, E G +1 more·2004·International Journal of Obesity
DOI 10.1038/sj.ijo.0802741
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Abstract

Objective To determine parameters of weight history useful for the assessment of weight cycling and their association with psychological distress and binge eating.Design Cross-sectional.Subjects A total of 1889 treatment-seeking obese subjects, enrolled by 25 Italian centers (78% female subject), aged 20-65 y (median 45); 1691 reported previous efforts to lose weight (median age of first dieting, 30 y).Measurements The number of yearly attempts to lose weight, weight gain since age 20 y, cumulative weight loss and gain were checked by a predefined structured interview. Psychological distress was tested by means of Symptom Check-List 90 (SCL-90), Binge Eating Scale (BES) and Three Factor Eating Questionnaire (TFEQ).Results Differences in anthropometric, clinical and psychological parameters were observed in relation to previous attempts to lose weight. Patients in the upper quartile of parameters of weight history were considered weight cyclers. In multivariate logistic regression analysis, after correction for age, sex and BMI, a high BES score was the only factor systematically associated with a high frequency of dieting (OR, 1.70; 95% confidence interval, 1.22-2.36; P=0.022), with higher cumulative weight loss (1.42; 1.12-1.80; P=0.003) and cumulative weight gain (1.38; 1.06-1.79; P=0.017). However, the sensitivity, specificity and positive predictive value of a high BES score were very low to detect cyclers. Weight cycling did not carry a higher risk of complicating diseases.Conclusions Weight cycling is associated with psychological distress, and binge eating independently increases the risk, but cannot be used to predict cycling. Also, obese patients who do not experience overeating as a loss of control discontinue treatment or regain weight following therapy.

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Authors
and the QUOVADIS Study Group, Marchesini, G., Cuzzolaro, M., Mannucci, E., Grave, R. D., Gennaro, M., Tomasi, F., Barantani, E. G., & Melchionda, N.
Affiliations
  • University of Bologna (IT)
  • Sapienza University of Rome (IT)
  • University of Florence (IT)
  • Casa di Cura Villa Garda (IT)
  • Ospedale di Sanremo (IT)
  • Arcispedale Sant'Anna (IT)
  • IRCCS Istituto Auxologico Italiano (IT)
ORCID
Venue
International Journal of Obesity
Publisher
Springer Science and Business Media LLC
Published
2004-08-17
Volume
28
Issue
11
Pages
1456-1462
ISSN
  • 0307-0565 (ISSN-L)
  • 1476-5497
DOI
10.1038/sj.ijo.0802741
OpenAlex
W1995552123
Cited by
68
References
42
Citations by year
2025: 2 · 2024: 1 · 2023: 3 · 2022: 5 · 2021: 3 · 2020: 2 · 2019: 1 · 2018: 2 · 2017: 4 · 2016: 2 · 2015: 4 · 2014: 4 · 2013: 4 · 2012: 5
FWCI
3.19
Type
journal article
Language
en
Open access
Licence
Locations
  • International Journal of Obesity (publishedVersion)
  • PubMed (publishedVersion)
  • Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion)
  • Florence Research (University of Florence) (submittedVersion)
  • IRIS UNIMORE (University of Modena and Reggio Emilia) (submittedVersion, cc-by)
Topics
  • Social Sciences › Psychology › Clinical Psychology › Eating Disorders and Behaviors
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
  • Health Sciences › Health Professions › Pharmacy › Obesity and Health Practices
Keywords
weight cycling, obesity, binge eating, psychological distress, weight history, dieting, weight regain, binge eating disorder, dietary habits, treatment-seeking patients
MeSH terms
Adult, Aged, Cross-Sectional Studies, Diet, Reducing, Feeding Behavior, Female, Health Surveys, Humans, Male, Middle Aged, Obesity, Self Concept, Weight Gain, Weight Loss, Logistic Models

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