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A New Index of Abdominal Obesity which Effectively Predicts Risk of Colon Tumor Development in Female Japanese

  • Kaneko, Rena (Department of Gastroenterology and Hepatology, Kanto Rosai Hospital, Japan Labor Health and Welfare Organization) ;
  • Nakazaki, Natsuko (Department of Gastroenterology and Hepatology, Kanto Rosai Hospital, Japan Labor Health and Welfare Organization) ;
  • Tagawa, Teppei (Department of Gastroenterology and Hepatology, Kanto Rosai Hospital, Japan Labor Health and Welfare Organization) ;
  • Ohishi, Chitose (Department of Gastroenterology and Hepatology, Kanto Rosai Hospital, Japan Labor Health and Welfare Organization) ;
  • Kusayanagi, Satoshi (Department of Gastroenterology and Hepatology, Kanto Rosai Hospital, Japan Labor Health and Welfare Organization) ;
  • Kim, Miniru (Department of Gastroenterology and Hepatology, Kanto Rosai Hospital, Japan Labor Health and Welfare Organization) ;
  • Baba, Toshiyuki (Department of Gastroenterology and Hepatology, Kanto Rosai Hospital, Japan Labor Health and Welfare Organization) ;
  • Ogawa, Masazumi (Department of Gastroenterology and Hepatology, Kanto Rosai Hospital, Japan Labor Health and Welfare Organization) ;
  • Sato, Yuzuru (Department of Gastroenterology and Hepatology, Kanto Rosai Hospital, Japan Labor Health and Welfare Organization)
  • Published : 2014.01.30

Abstract

Background: A relation between abdominal obesity and colorectal tumor development has been reported repeatedly, and is believed to be more remarkable in man than in women. However, the details vary depending on scientific reports. This may be due at least partly to the selected surface anthropometric index in addition to the influence of gender and ethnic groups. To cope with this, we considered a new index of abdominal obesity and evaluated its risk prediction potential. Materials and Methods: Six hundred ninety five Japanese (262 women and 433 men) who had a colonoscopy were studied. The new index was named as waist circumference to height index (WHI) and was calculated by the formula of waist circumference (cm)/height (m)/height (m). Biochemical and lifestyle factors were investigated preceding the colonoscopy. Statistical analysis was performed using SPSS for Windows. Results: Increase of WHI was associated with altered metabolism of carbohydrate and lipid in both women and men. WHI was positively related with the development of colon tumor of women, while not with that of men. Logistic regression analysis performed for stratified age groups (45-54, 55-64 and 65-74 years) showed that WHI significantly increased odds ratio to 1.31 (CI 1.05-1.64 p=0.01) in women of 55-65 years. In contrast, in men this index WHI reduced the odds ratio insignificantly, while low density lipoprotein and triglyceride significantly increased the odds ratio to 1.01 (CI 1.00-1.03 p=0.02) in the 55-65 year group and to 1.02 (CI 1.00-1.03 p=0.02) in the 45-55 year group. Conclusions: In Japanese the risk factors for colon tumor development are different between women and men. WHI is a simple and efficient predictor of colon tumor risk in Japanese women and may be used to select those who should have colonoscopy.

Keywords

References

  1. Ashwell M, Gunn P, Gibson S (2005). Waist-to-height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: systematic review and meta-analysis. Obes Rev, 13, 275-86.
  2. Caan BJ, Coates AO, Slattery ML, et al (1998). Body size and the risk of colon cancer in a large case-control study. Int J Obes Relat Metab Disord, 22, 178-84. https://doi.org/10.1038/sj.ijo.0800561
  3. Dai Z, Xu YC, Niu L (2007). Obesity and colorectal cancer risk: a meta-analysis of cohort studies. World J Gastroenterol, 13, 4199-206.
  4. Giovannucci E, Ascherio A, Rimm EB, et al (1995). Physical activity, obesity, and risk for colon cancer and adenoma in men. Ann Intern Med, 122, 327-34. https://doi.org/10.7326/0003-4819-122-5-199503010-00002
  5. Giovannucci E, Colditz GA, Stampfer MJ and Willett WC (1996). Physical activity, obesity, and risk of colorectal adenoma in women (United States). Cancer Causes Control, 7, 253-63. https://doi.org/10.1007/BF00051301
  6. Kaneko R, Sato Y, An Y, et al (2010 ). Clinico-epidemiologic study of the metabolic syndrome and lifestyle factors associated with the risk of colon adenoma and adenocarcinoma. Asian Pac J Cancer Prev, 11, 975-83.
  7. Larsson SC, Wolk A (2007). Obesity and colon and rectal cancer risk: a meta-analysis of prospective studies1,2,3. Am J Clin Nutr, 86, 556-65.
  8. Li H, Yang G, Xiang YB, et al (2005). Body weight, fat distribution and colorectal cancer risk: a report from cohort studies of 134255 Chinese men and women. Int J Obes, [Epub ahead of print].
  9. Li WC, Chen IC, Chang YC, et al (2013). Waist-to-height ratio, waist circumference, and body mass index as indices of cardiometabolic risk among 36,642 Taiwanese adults. Eur J Nut, 52, 57-65. https://doi.org/10.1007/s00394-011-0286-0
  10. Liang J, Nagahashi M, Kim EY, et al (2013). Sphingosine-1-phosphate links persistent STAT3 activation, chronic intestinal inflammation, and development of colitisassociated cancer. Cancer Cell, 23, 107-20. https://doi.org/10.1016/j.ccr.2012.11.013
  11. Ma Y, Yang Y, Wang F, et al (2013). Obesity and risk of colorectal cancer: a systematic review of prospective studies. PLoS One, 8, 53916. https://doi.org/10.1371/journal.pone.0053916
  12. Martinez ME, Giovannucci E, Spiegelman D, et al (1997). Leisure-time physical activity, body size, and colon cancer in women. Nurses' Health Study Research Group. J Natl Cancer Inst, 89, 948-55. https://doi.org/10.1093/jnci/89.13.948
  13. Moore LL, Bradlee ML, Singer MR, et al (2004). BMI and waist circumference as predictors of lifetime colon cancer risk in Framingham Study adults. Int J Obes Relat Metab Disord, 28, 559-67. https://doi.org/10.1038/sj.ijo.0802606
  14. Morois S, Mesrine S, Josset M, Clavel-Chapelon F, Boutron-Ruault MC (2010). Anthropometric factors in adulthood and risk of colorectal adenomas: The French E3N-EPIC prospective cohort. Am J Epidemiol, 172, 1166-80. https://doi.org/10.1093/aje/kwq258
  15. Muzes G, Molnar B, Sipos F (2012). Regulatory T cells in inflammatory bowel diseases and colorectal cancer. World J Gastroenterol, 18, 5688-94. https://doi.org/10.3748/wjg.v18.i40.5688
  16. Parkin DM, Bray F, Ferlay J, Pisani P (2002). Global cancer statistics. CA Cancer J Clin, 55, 74-108.
  17. Pischon T, Lahmann PH, Boeing H, et al (2006). Body size and risk of colon and rectal cancer in the European Prospective Investigation Into Cancer and Nutrition (EPIC). J Natl Cancer Inst, 98, 920-31. https://doi.org/10.1093/jnci/djj246
  18. Thompson CL, Berger NA, Chak A, Li L (2012). Racial differences in measures of obesity and risk of colon adenoma. Obesity, 20, 673-7. https://doi.org/10.1038/oby.2011.295
  19. Wise LA, Rosenberg L, Palmer JR, Adams-Campbell LL (2008). Anthropometric risk factors for colorectal polyps in African-American women. Obesity, 16, 859-68. https://doi.org/10.1038/oby.2007.139

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