Literature DB >> 22560127

Self-reported speed of eating and 7-year risk of type 2 diabetes mellitus in middle-aged Japanese men.

Masaru Sakurai1, Koshi Nakamura, Katsuyuki Miura, Toshinari Takamura, Katsushi Yoshita, Shin-ya Nagasawa, Yuko Morikawa, Masao Ishizaki, Teruhiko Kido, Yuchi Naruse, Yasushi Suwazono, Satoshi Sasaki, Hideaki Nakagawa.   

Abstract

OBJECTIVE: This cohort study investigated the association between eating speed and the incidence of type 2 diabetes in middle-aged Japanese men. MATERIALS/
METHODS: Participants were 2,050 male employees of a metal products factory in Japan. We measured self-reported categorical eating speed. The incidence of diabetes was determined in annual medical examinations over a 7-year period. The association between eating speed and the incidence of diabetes adjusted for multiple variables (age, family history of diabetes, smoking, alcohol drinking, habitual exercise, and presence of hypertension and hyperlipidemia) was evaluated using Cox proportional hazards models.
RESULTS: The prevalence of obesity (BMI≥25 kg/m(2)) across the categories of eating speed (slow, medium, and fast) was 14.6, 23.3, and 34.8%, respectively, and a faster eating speed was associated with a higher prevalence of obesity. During the study, 177 participants developed diabetes. Crude incidence rates (/1,000 person-years) across the three categories of eating speed were 9.9, 15.6, and 17.3, respectively. Multivariate-adjusted hazard ratios (95% CI) across the categories were 1.00 (reference), 1.68 (0.93-3.02), and 1.97 (1.10-3.55), respectively, and eating speed was associated with the risk of diabetes (p for trend=0.030). After further adjustment for BMI, a significant association was not observed.
CONCLUSIONS: Eating speed was associated with the incidence of diabetes. Since these associations were not significant after adjusting for BMI, eating speed may act via its effect on body weight. Eating speed is a controllable risk factor, and eating slowly could be an acceptable lifestyle intervention for the prevention of diabetes mellitus.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Mesh:

Year:  2012        PMID: 22560127     DOI: 10.1016/j.metabol.2012.04.005

Source DB:  PubMed          Journal:  Metabolism        ISSN: 0026-0495            Impact factor:   8.694


  33 in total

1.  Association between intensive health guidance focusing on eating quickly and metabolic syndrome in Japanese middle-aged citizens.

Authors:  Daisuke Ekuni; Michiko Furuta; Toshihide Kimura; Naoki Toyama; Daiki Fukuhara; Yoko Uchida; Nanami Sawada; Manabu Morita
Journal:  Eat Weight Disord       Date:  2018-06-07       Impact factor: 4.652

Review 2.  Association between eating rate and obesity: a systematic review and meta-analysis.

Authors:  T Ohkuma; Y Hirakawa; U Nakamura; Y Kiyohara; T Kitazono; T Ninomiya
Journal:  Int J Obes (Lond)       Date:  2015-05-25       Impact factor: 5.095

3.  Associations among Obesity, Eating Speed, and Oral Health.

Authors:  Chikanobu Sonoda; Hideki Fukuda; Masayasu Kitamura; Hideaki Hayashida; Yumiko Kawashita; Reiko Furugen; Zenya Koyama; Toshiyuki Saito
Journal:  Obes Facts       Date:  2018-04-18       Impact factor: 3.942

4.  Faster eating rates are associated with higher energy intakes during an ad libitum meal, higher BMI and greater adiposity among 4·5-year-old children: results from the Growing Up in Singapore Towards Healthy Outcomes (GUSTO) cohort.

Authors:  Anna Fogel; Ai Ting Goh; Lisa R Fries; Suresh A Sadananthan; S Sendhil Velan; Navin Michael; Mya-Thway Tint; Marielle V Fortier; Mei Jun Chan; Jia Ying Toh; Yap-Seng Chong; Kok Hian Tan; Fabian Yap; Lynette P Shek; Michael J Meaney; Birit F P Broekman; Yung Seng Lee; Keith M Godfrey; Mary F F Chong; Ciarán G Forde
Journal:  Br J Nutr       Date:  2017-05-02       Impact factor: 3.718

5.  Self-reported eating speed in relation to non-alcoholic fatty liver disease in adults.

Authors:  Saehyun Lee; Byung-Joon Ko; Younghoon Gong; Kyungdo Han; Anna Lee; Byoung-Duck Han; Yeo Joon Yoon; Siyoung Park; Jung-Hyun Kim; Christos S Mantzoros
Journal:  Eur J Nutr       Date:  2015-02-04       Impact factor: 5.614

6.  Sugar-sweetened beverage and diet soda consumption and the 7-year risk for type 2 diabetes mellitus in middle-aged Japanese men.

Authors:  M Sakurai; K Nakamura; K Miura; T Takamura; K Yoshita; S Y Nagasawa; Y Morikawa; M Ishizaki; T Kido; Y Naruse; Y Suwazono; S Sasaki; H Nakagawa
Journal:  Eur J Nutr       Date:  2013-04-11       Impact factor: 5.614

7.  Family history of diabetes, lifestyle factors, and the 7-year incident risk of type 2 diabetes mellitus in middle-aged Japanese men and women.

Authors:  Masaru Sakurai; Koshi Nakamura; Katsuyuki Miura; Toshinari Takamura; Katsushi Yoshita; Satoshi Sasaki; Shin-Ya Nagasawa; Yuko Morikawa; Masao Ishizaki; Teruhiko Kido; Yuchi Naruse; Yasushi Suwazono; Hideaki Nakagawa
Journal:  J Diabetes Investig       Date:  2013-02-13       Impact factor: 4.232

8.  Eating Speed and Incidence of Diabetes in a Japanese General Population: ISSA-CKD.

Authors:  Hideyuki Fujii; Shunsuke Funakoshi; Toshiki Maeda; Atsushi Satoh; Miki Kawazoe; Shintaro Ishida; Chikara Yoshimura; Soichiro Yokota; Kazuhiro Tada; Koji Takahashi; Kenji Ito; Tetsuhiko Yasuno; Shota Okutsu; Shigeaki Mukoubara; Hitoshi Nakashima; Shigeki Nabeshima; Seiji Kondo; Masaki Fujita; Kosuke Masutani; Hisatomi Arima; Daiji Kawanami
Journal:  J Clin Med       Date:  2021-05-01       Impact factor: 4.241

9.  Mastication and risk for diabetes in a Japanese population: a cross-sectional study.

Authors:  Toru Yamazaki; Masashi Yamori; Keita Asai; Ikuko Nakano-Araki; Akihiko Yamaguchi; Katsu Takahashi; Akihiro Sekine; Fumihiko Matsuda; Shinji Kosugi; Takeo Nakayama; Nobuya Inagaki; Kazuhisa Bessho
Journal:  PLoS One       Date:  2013-06-05       Impact factor: 3.240

10.  Self-reported eating rate and metabolic syndrome in Japanese people: cross-sectional study.

Authors:  Satsue Nagahama; Kayo Kurotani; Ngoc Minh Pham; Akiko Nanri; Keisuke Kuwahara; Masashi Dan; Yuji Nishiwaki; Tetsuya Mizoue
Journal:  BMJ Open       Date:  2014-09-05       Impact factor: 2.692

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