Literature DB >> 25614199

Dieting and weight cycling as risk factors for cardiometabolic diseases: who is really at risk?

J-P Montani1, Y Schutz, A G Dulloo.   

Abstract

Despite the poor prognosis of dieting in obesity management, which often results in repeated attempts at weight loss and hence weight cycling, the prevalence of dieting has increased continuously in the past decades in parallel to the steadily increasing prevalence of obesity. However, dieting and weight cycling are not limited to those who are obese or overweight as substantial proportions of the various population groups with normal body weight also attempt to lose weight. These include young and older adults as well as children and adolescents who perceive themselves as too fat (due to media, parental and social pressures), athletes in weight-sensitive competitive sports (i.e. mandatory weight categories, gravitational and aesthetic sports) or among performers for whom a slim image is professionally an advantage. Of particular concern is the emergence of evidence that some of the potentially negative health consequences of repeated dieting and weight cycling are more readily seen in people of normal body weight rather than in those who are overweight or obese. In particular, several metabolic and cardiovascular risk factors associated with weight cycling in normal-weight individuals have been identified from cross-sectional and prospective studies as well as from studies of experimentally induced weight cycling. In addition, findings from studies of experimental weight cycling have reinforced the notion that fluctuations of cardiovascular risk variables (such as blood pressure, heart rate, sympathetic activity, blood glucose, lipids and insulin) with probable repeated overshoots above normal values during periods of weight regain put an additional stress on the cardiovascular system. As the prevalence of diet-induced weight cycling is increasing due to the opposing forces of an 'obesigenic' environment and the media pressure for a slim figure (that even targets children), dieting and weight cycling is likely to become an increasingly serious public health issue.
© 2015 World Obesity.

Entities:  

Keywords:  Diabetes; hypertension; obesity; weight cycling

Mesh:

Year:  2015        PMID: 25614199     DOI: 10.1111/obr.12251

Source DB:  PubMed          Journal:  Obes Rev        ISSN: 1467-7881            Impact factor:   9.213


  48 in total

1.  Association of Weight Loss Maintenance and Weight Regain on 4-Year Changes in CVD Risk Factors: the Action for Health in Diabetes (Look AHEAD) Clinical Trial.

Authors:  Rena R Wing; Mark A Espeland; Helen P Hazuda; William C Knowler; Thomas Wadden
Journal:  Diabetes Care       Date:  2016-06-06       Impact factor: 19.112

Review 2.  Contextualising Eating Disorder Concerns for Paediatric Obesity Treatment.

Authors:  Natalie B Lister; Louise A Baur; Susan J Paxton; Hiba Jebeile
Journal:  Curr Obes Rep       Date:  2021-05-10

3.  Helpful or harmful? The comparative value of self-weighing and calorie counting versus intuitive eating on the eating disorder symptomology of college students.

Authors:  Kelly A Romano; Martin A Swanbrow Becker; Christina D Colgary; Amy Magnuson
Journal:  Eat Weight Disord       Date:  2018-08-28       Impact factor: 4.652

4.  The duration of intermittent access to preferred sucrose-rich food affects binge-like intake, fat accumulation, and fasting glucose in male rats.

Authors:  A D Kreisler; M Mattock; E P Zorrilla
Journal:  Appetite       Date:  2018-07-29       Impact factor: 3.868

5.  Weight variability during self-monitored weight loss predicts future weight loss outcome.

Authors:  Leora Benson; Fengqing Zhang; Hallie Espel-Huynh; Lua Wilkinson; Michael R Lowe
Journal:  Int J Obes (Lond)       Date:  2020-01-16       Impact factor: 5.095

Review 6.  Adaptive Thermogenesis in Resistance to Obesity Therapies: Issues in Quantifying Thrifty Energy Expenditure Phenotypes in Humans.

Authors:  Abdul G Dulloo; Yves Schutz
Journal:  Curr Obes Rep       Date:  2015-06

7.  Short-term variability in body weight predicts long-term weight gain.

Authors:  Michael R Lowe; Emily H Feig; Samantha R Winter; Eric Stice
Journal:  Am J Clin Nutr       Date:  2015-09-09       Impact factor: 7.045

8.  Intentional weight loss, weight cycling, and endometrial cancer risk: a systematic review and meta-analysis.

Authors:  Xiaochen Zhang; Jennifer Rhoades; Bette J Caan; David E Cohn; Ritu Salani; Sabrena Noria; Adrian A Suarez; Electra D Paskett; Ashley S Felix
Journal:  Int J Gynecol Cancer       Date:  2019-08-26       Impact factor: 3.437

9.  Persistent microbiome alterations modulate the rate of post-dieting weight regain.

Authors:  Christoph A Thaiss; Shlomik Itav; Daphna Rothschild; Mariska T Meijer; Maayan Levy; Claudia Moresi; Lenka Dohnalová; Sofia Braverman; Shachar Rozin; Sergey Malitsky; Mally Dori-Bachash; Yael Kuperman; Inbal Biton; Arieh Gertler; Alon Harmelin; Hagit Shapiro; Zamir Halpern; Asaph Aharoni; Eran Segal; Eran Elinav
Journal:  Nature       Date:  2016-11-24       Impact factor: 49.962

10.  Psychological status and weight variability over eight years: Results from Look AHEAD.

Authors:  Carly R Pacanowski; Jennifer A Linde; Lucy F Faulconbridge; Mace Coday; Monika M Safford; Haiying Chen; Susan Z Yanovski; Linda J Ewing; Rena Wing; Robert W Jeffery
Journal:  Health Psychol       Date:  2018-03       Impact factor: 4.267

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.