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Eating fast leads to insulin resistance: findings in middle-aged Japanese men and women.

AbstractOBJECTIVE:
To examine relationships between speed of eating and insulin resistance.
METHODS:
Cross-sectional study of 2704 male (mean age and BMI: 48.2 y and 23.3 kg/m(2)) and 761 female (46.3 y and 21.8 kg/m(2)) non-diabetic Japanese civil servants, 75% clerical, and 25% manual laborers, using a two-part questionnaire on life-style factors and diet history with self-assessment of categorical speed of eating and energy intake over a 1-month period. We measured BMI, blood glucose and insulin concentrations and calculated insulin resistance using the homeostasis model assessment of insulin resistance: (HOMA-IR).
RESULTS:
BMI correlated with eating rate in both sexes, and with daily energy intake in men. Multiple regression analysis of log HOMA-IR by categorical speed of eating, adjusting for age, energy intake and lifestyle factors showed a statistically significant gradual increase in HOMA-IR with increases in relative eating rate in men (p<0.001, for trend) and in women (p<0.01). Adjusting for BMI, this positive relationship appeared only in men (p=0.03).
CONCLUSIONS:
Our results suggest that eating fast is independently associated with insulin resistance in middle-aged Japanese men and women.
AuthorsRei Otsuka, Koji Tamakoshi, Hiroshi Yatsuya, Keiko Wada, Kunihiro Matsushita, Pei OuYang, Yo Hotta, Seiko Takefuji, Hirotsugu Mitsuhashi, Kaichiro Sugiura, Satoshi Sasaki, John G Kral, Hideaki Toyoshima
JournalPreventive medicine (Prev Med) Vol. 46 Issue 2 Pg. 154-9 (Feb 2008) ISSN: 0091-7435 [Print] United States
PMID17822753 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
Chemical References
  • Blood Glucose
  • Insulin
Topics
  • Adult
  • Aged
  • Blood Glucose (analysis)
  • Body Mass Index
  • Cross-Sectional Studies
  • Energy Intake
  • Feeding Behavior (physiology)
  • Female
  • Humans
  • Insulin (analysis, blood)
  • Insulin Resistance (physiology)
  • Japan
  • Male
  • Middle Aged
  • Obesity
  • Surveys and Questionnaires
  • Time Factors

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