Abstract
Aims
Weight cycling is defined as cyclical loss and gain of weight and recent studies suggest
deleterious effects of weight cycling on cardiometabolic health. We aimed to analyze
the risk for diabetes development in association with weight cycling over 4 years
of follow-up.
Methods
A retrospective study performed in 4,818 non-diabetic participants (mean age 43 years,
78.3% men) in a health screening program in whom serial health examinations were performed
in 5 consecutive years from 2010 to 2014. Average successive variability of weight
(ASVW) was defined by the amount of body weight change in absolute value between the
successive years over 5 years summed and divided by four. The subjects were divided
into two groups according to body mass index (BMI), normal weight (<23 kg/m2) and overweight (≥23 kg/m2).
Results
Over 4 years, 3.2% developed diabetes. When the subjects were divided into 3 groups
according to tertile groups of ASVW, those in the highest tertile showed significantly
increased risk for diabetes development compared to those with the lowest tertile
{odds ratio (OR) 1.860; 95% CI 1.130–3.063}. When similar analyses were performed
according to the 4 groups divided by baseline body weight and ASVW over four years,
those who were more than overweight at baseline with high ASVW showed significantly
increased risk of diabetes development compared to those had normal weight and low
ASVW (OR 2.266; 95% 1.123–4.572). When the subjects were divided into six group according
to weight change and ASVW, those with increased weight over 4 years and high ASVW
showed the highest risk for diabetes development among the groups compared to those
with stable weight and low ASVW over four years (OR 3.660; 95% CI 1.402–9.553).
Conclusions
Those with high ASVW showed significantly increased risk for diabetes development
over four years compared with those who had low ASVW. Weight cycling was significantly
associated with increased risk for diabetes.
Keywords
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References
Available at http://www.who.int/gho/ncd/risk_factors/overweight/en/.
Jarolimova J, Tagoni J, Stern TA. Obesity: its epidemiology, comorbidities, and management. Prim Care Companion CNS Disord 2013; 15.
- Obesity and diabetes: the increased risk of cancer and cancer-related mortality.Physiol Rev. 2015; 95: 727-748
Available at https://en.wikipedia.org/wiki/Yo-yo_effect. (Lastly accessed on August 2nd, 2017).
- Dieting and weight cycling as risk factors for cardiometabolic diseases: who is really at risk?.Obes Rev. 2015; 16: 7-18
- Psychological correlates of weight fluctuation.Int J Eat Disord. 1995; 17: 263-275
- Weight cycling, weight gain, and risk of hypertension in women.Am J Epidemiol. 1999; 150: 573-579
Weight cycling. National task force on the prevention and treatment of obesity. JAMA 1994; 272: 1196–1202.
- Influence of distribution of lean body mass on resting metabolic rate after weight loss and weight regain: comparison of responses in white and black women.Am J Clin Nutr. 2003; 77: 1368-1373
- Changes in body weight in relation to mortality in 6441 European middle-aged men: the Seven Countries Study.Int J Obes (Lond). 1995; 19: 862-868
- 2. Classification and diagnosis of diabetes: standards of medical care in diabetes-2018.Diabetes Care. 2018; 41: S13-S27
List of NGSP Certified Methods. Available at http://www.ngsp.org/docs/methods.pdf. (Lastly accessed 5th, January 2018).
- Correlation of same-visit HbA1c test with laboratory-based measurements: a MetroNet study.BMC Fam Pract. 2005; 6: 28
Kim MK, Lee WY, Kang JH, Kang JH, Kim BT, Kim SM, et al. Committee of Clinical Practice Guidelines, Korean Society for the Study of Obesity. 2014 Clinical Practice Guidelines for Overweight and Obesity in Korea. Endocrinol Metab 2014; 29: 405–409.
- Weight loss attempts in adults: goals, duration, and rate of weight loss.Am J Public Health. 1992; 82: 1251-1257
- Weight control practices in adults: results of a multistate telephone survey.Am J Public Health. 1994; 84: 1821-1824
- Perceived weight status, overweight diagnosis, and weight control among US adults: the NHANES 2003–2008 Study.Int J Obes (Lond). 2011; 35: 1063-1070
- Twenty-year changes in the prevalence of obesity among Finnish adults.Obes Rev. 2010; 11: 171-176
- Weight-loss strategies used by the general population: how are they perceived?.PLoS ONE. 2014; 9: e97834
- Methods for voluntary weight loss and control.Ann Intern Med. 1993; 119: 764-770
- Medicare’s search for effective obesity treatments: diets are not the answer.Am Psychol. 2007; 62: 220-233
- Incident diabetes in relation to weight patterns during middle age.Am J Epidemiol. 2010; 171: 550-556
- Weight cycling and the subsequent onset of type 2 diabetes mellitus: 10-year cohort studies in urban and rural Japan.BMJ Open. 2017; 7: e014684
- Does dieting make you fat? A twin study.Int J Obes (Lond). 2012; 36: 456-464
- Association between weight fluctuation and fasting insulin concentration in Japanese men.Int J Obes (Lond). 2003; 27: 478-483
- Weight, weight change, and coronary heart disease in women. Risk within the ‘normal’ weight range.JAMA. 1995; 273: 461-465
- Deep body composition phenotyping during weight cycling: relevance to metabolic efficiency and metabolic risk.Obes Rev. 2015; 16: 36-44
- Weight cycling is associated with body weight excess and abdominal fat accumulation: a cross-sectional study.Clin Nutr. 2011; 30: 718-723
- Effect of weight loss and regain on adipose tissue distribution, composition of lean mass and resting energy expenditure in young overweight and obese adults.Int J Obes (Lond). 2013; 37: 1371-1377
- Messerli FH; TNT Steering Committee and Investigators. Visit-to-visit low-density lipoprotein cholesterol variability and risk of cardiovascular outcomes: insights from the TNT trial.J Am Coll Cardiol. 2015; 65: 1539-1548
- Is fasting blood glucose a reliable parameter for screening for diabetes in hypertension?.Am J Hypertens. 2003; 16: 297-301
- A comparison of HbA1c and fasting blood sugar tests in general population.Int J Prev Med. 2010; 1: 187-194
Article info
Publication history
Published online: March 22, 2018
Accepted:
March 15,
2018
Received in revised form:
March 4,
2018
Received:
January 5,
2018
Identification
Copyright
© 2018 Elsevier B.V. All rights reserved.
