Literature DB >> 26376796

Weight cycling and the risk of type 2 diabetes in the EPIC-Germany cohort.

Jasmine Neamat-Allah1, Myrto Barrdahl1, Anika Hüsing1, Verena A Katzke1, Ursula Bachlechner2, Annika Steffen2, Rudolf Kaaks1, Matthias B Schulze3,4, Heiner Boeing2, Tilman Kühn5.   

Abstract

AIMS/HYPOTHESIS: Studies on weight cycling and the risk of type 2 diabetes have revealed inconsistent results, possibly due to differences in the definition of weight fluctuations. Here, we investigated whether weight cycling during adulthood is related to diabetes risk in a large cohort study, using a complementary approach to define patterns of weight development.
METHODS: Weight cycling, weight loss and weight gain were defined (1) a priori, using distinct categories, and (2) by functional principal component analysis (FPCA) to capture weight patterns in greater detail. Associations of weight cycling, weight loss and weight gain with the risk of type 2 diabetes were evaluated by Cox regression models.
RESULTS: A priori defined weight cycling was associated with increased diabetes risk, compared with stable weight (HR 1.36 [95% CI 1.09, 1.68]). No significant association between FPCA-derived weight cycling and risk of diabetes was observed after adjustment for concurrent weight patterns (HR 1.19 [95% CI 0.89, 1.60]). Subgroup analyses showed that FPCA-derived weight cycling during net weight gain was associated with a higher risk of diabetes (HR 1.68 [95% CI 1.14, 2.48]). A priori defined weight gain (HR 2.08 [95% CI 1.60, 2.70]) was more clearly related to the risk of diabetes than FPCA-derived weight gain (HR 1.20 [95% CI 0.95, 1.51]), while no significant associations were observed for weight loss. CONCLUSIONS/
INTERPRETATION: Overall, weight cycling may not be an independent risk factor for type 2 diabetes when accounting for concurrent patterns of weight development. However, weight cycling may pose a stronger risk of diabetes than non-cycling during net weight gain.

Entities:  

Keywords:  Prospective study; Type 2 diabetes; Weight change; Weight cycling

Mesh:

Year:  2015        PMID: 26376796     DOI: 10.1007/s00125-015-3755-9

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


  18 in total

Review 1.  Quantitative relationship between body weight gain in adulthood and incident type 2 diabetes: a meta-analysis.

Authors:  S Kodama; C Horikawa; K Fujihara; S Yoshizawa; Y Yachi; S Tanaka; N Ohara; S Matsunaga; T Yamada; O Hanyu; H Sone
Journal:  Obes Rev       Date:  2013-10-25       Impact factor: 9.213

2.  Effects of weight loss, weight cycling, and weight loss maintenance on diabetes incidence and change in cardiometabolic traits in the Diabetes Prevention Program.

Authors:  Linda M Delahanty; Qing Pan; Kathleen A Jablonski; Vanita R Aroda; Karol E Watson; George A Bray; Steven E Kahn; Jose C Florez; Leigh Perreault; Paul W Franks
Journal:  Diabetes Care       Date:  2014-07-14       Impact factor: 19.112

3.  Weight cycling is associated with body weight excess and abdominal fat accumulation: a cross-sectional study.

Authors:  Emanuele Cereda; Alexis Elias Malavazos; Riccardo Caccialanza; Mariangela Rondanelli; Giuseppe Fatati; Michela Barichella
Journal:  Clin Nutr       Date:  2011-07-20       Impact factor: 7.324

Review 4.  Impact of weight cycling on risk of morbidity and mortality.

Authors:  T Mehta; D L Smith; J Muhammad; K Casazza
Journal:  Obes Rev       Date:  2014-09-29       Impact factor: 9.213

5.  Weight variability and incident disease in older women: the Iowa Women's Health Study.

Authors:  S A French; A R Folsom; R W Jeffery; W Zheng; P J Mink; J E Baxter
Journal:  Int J Obes Relat Metab Disord       Date:  1997-03

6.  Validity and repeatability of a simple index derived from the short physical activity questionnaire used in the European Prospective Investigation into Cancer and Nutrition (EPIC) study.

Authors:  Nicholas J Wareham; Rupert W Jakes; Kirsten L Rennie; Jantine Schuit; Jo Mitchell; Susie Hennings; Nicholas E Day
Journal:  Public Health Nutr       Date:  2003-06       Impact factor: 4.022

7.  Effect of weight loss and regain on adipose tissue distribution, composition of lean mass and resting energy expenditure in young overweight and obese adults.

Authors:  A Bosy-Westphal; B Schautz; M Lagerpusch; M Pourhassan; W Braun; K Goele; M Heller; C-C Glüer; M J Müller
Journal:  Int J Obes (Lond)       Date:  2013-02-05       Impact factor: 5.095

8.  Long-term weight fluctuation and non-insulin-dependent diabetes mellitus in white women.

Authors:  R D Morris; A A Rimm
Journal:  Ann Epidemiol       Date:  1992-09       Impact factor: 3.797

9.  Validity of self-reported height and weight in 4808 EPIC-Oxford participants.

Authors:  Elizabeth A Spencer; Paul N Appleby; Gwyneth K Davey; Timothy J Key
Journal:  Public Health Nutr       Date:  2002-08       Impact factor: 4.022

10.  Overweight, obesity and fat distribution in 50- to 64-year-old participants in the European Prospective Investigation into Cancer and Nutrition (EPIC).

Authors:  M Haftenberger; P H Lahmann; S Panico; C A Gonzalez; J C Seidell; H Boeing; M C Giurdanella; V Krogh; H B Bueno-de-Mesquita; P H M Peeters; G Skeie; A Hjartåker; M Rodriguez; J R Quirós; G Berglund; U Janlert; K T Khaw; E A Spencer; K Overvad; A Tjønneland; F Clavel-Chapelon; B Tehard; A B Miller; K Klipstein-Grobusch; V Benetou; G Kiriazi; E Riboli; N Slimani
Journal:  Public Health Nutr       Date:  2002-12       Impact factor: 4.022

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1.  Weight Regain in Formerly Obese Mice Hastens Development of Hepatic Steatosis Due to Impaired Adipose Tissue Function.

Authors:  Brian F Zamarron; Cara E Porsche; Danny Luan; Hannah R Lucas; Taleen A Mergian; Gabriel Martinez-Santibanez; Kae Won Cho; Jennifer L DelProposto; Lynn M Geletka; Lindsey A Muir; Kanakadurga Singer; Carey N Lumeng
Journal:  Obesity (Silver Spring)       Date:  2020-04-13       Impact factor: 5.002

2.  Effect of Cycling on Glycaemia, Blood Pressure, and Weight in Young Individuals with Type 2 Diabetes.

Authors:  Ashok Jhingan; Ram Mohan Jhingan
Journal:  J Clin Diagn Res       Date:  2017-07-01

3.  Impact of weight cycling on CTRP3 expression, adipose tissue inflammation and insulin sensitivity in C57BL/6J mice.

Authors:  Xin Li; Li Jiang; Miao Yang; Yu-Wen Wu; Jia-Zhong Sun
Journal:  Exp Ther Med       Date:  2018-07-04       Impact factor: 2.447

4.  Weight cycling and the subsequent onset of type 2 diabetes mellitus: 10-year cohort studies in urban and rural Japan.

Authors:  Hiroshi Yokomichi; Sachiko Ohde; Osamu Takahashi; Mie Mochizuki; Atsunori Takahashi; Yoshioki Yoda; Masahiro Tsuji; Yuka Akiyama; Zentaro Yamagata
Journal:  BMJ Open       Date:  2017-06-08       Impact factor: 2.692

5.  Unstable bodyweight and incident type 2 diabetes mellitus: A meta-analysis.

Authors:  Satoru Kodama; Kazuya Fujihara; Hajime Ishiguro; Chika Horikawa; Nobumasa Ohara; Yoko Yachi; Shiro Tanaka; Hitoshi Shimano; Kiminori Kato; Osamu Hanyu; Hirohito Sone
Journal:  J Diabetes Investig       Date:  2017-04-26       Impact factor: 4.232

Review 6.  Effects of Cardiovascular Risk Factor Variability on Health Outcomes.

Authors:  Seung-Hwan Lee; Mee Kyoung Kim; Eun-Jung Rhee
Journal:  Endocrinol Metab (Seoul)       Date:  2020-06-24

7.  Association between variability in body mass index and development of type 2 diabetes: Panasonic cohort study.

Authors:  Hiroshi Okada; Masahide Hamaguchi; Momoko Habu; Kazushiro Kurogi; Hiroaki Murata; Masato Ito; Michiaki Fukui
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8.  Longitudinal Branched-Chain Amino Acids, Lifestyle Intervention, and Type 2 Diabetes in the Finnish Diabetes Prevention Study.

Authors:  Jemina Kivelä; Jelena Meinilä; Matti Uusitupa; Jaakko Tuomilehto; Jaana Lindström
Journal:  J Clin Endocrinol Metab       Date:  2022-09-28       Impact factor: 6.134

9.  Association between weight cycling and risk of developing diabetes in adults: A systematic review and meta-analysis.

Authors:  Huajie Zou; Ping Yin; Liegang Liu; Wu Duan; Pu Li; Yan Yang; Wenjun Li; Qunchuan Zong; Xuefeng Yu
Journal:  J Diabetes Investig       Date:  2020-08-28       Impact factor: 4.232

  9 in total

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