Literature DB >> 31276608

Long-term status of predicted body fat percentage, body mass index and other anthropometric factors with risk of colorectal carcinoma: Two large prospective cohort studies in the US.

Akiko Hanyuda1,2,3, Dong Hoon Lee1, Shuji Ogino4,5,6,7,8, Kana Wu1, Edward L Giovannucci1,8,9.   

Abstract

Anthropometric measurements, such as body mass index (BMI), waist circumference, and body fat percentage, have been used as indicators of obesity. Despite evidence that excess body fat is a risk factor for colorectal carcinoma (CRC), the magnitude of the association of BMI and other obesity indicators with the long-term risk of CRC remains unclear. Utilizing a Cox proportional hazards regression model, we examined differential associations between predicted body fat percentage and BMI with the risk of CRC (n = 2,017). The associations between CRC incidence and different adiposity measurements were also assessed. Predicted body fat percentage had a similar increased risk of CRC risk as BMI. In multivariable-adjusted analyses, the hazard ratio for CRC in the second to fifth quintiles (compared to the first quintile) of predicted body fat percentage were 1.32, 1.31, 1.53 and 2.09 for men (ptrend  < 0.001) and 0.91, 0.90, 0.98 and 1.15 for women (ptrend = 0.03). Among various anthropometric measurements, predicted fat mass and waist circumference were slightly more strongly associated with CRC risk than BMI. In conclusion, the novel anthropometric prediction equations provided further evidence that a greater amount of body fat might contribute to CRC risk in both sexes. An innovative approach enabled us to estimate the susceptibilities of specific body composition with CRC risk, in an inexpensive and minimally invasive manner. Furthermore, the typically used measures of BMI and waist circumference are robust measures of adiposity to predict cancer risk in a relatively healthy population.
© 2019 UICC.

Entities:  

Keywords:  body composition; body fat percentage; colorectal cancer; obesity; visceral adiposity

Mesh:

Year:  2019        PMID: 31276608      PMCID: PMC7282530          DOI: 10.1002/ijc.32553

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  45 in total

1.  Comparison of body composition methods during weight loss in obese women using herbal formula.

Authors:  Ho-Jun Kim; Dympna Gallagher; Mi-Yeon Song
Journal:  Am J Chin Med       Date:  2005       Impact factor: 4.667

2.  Prediction of fat-free mass by bioimpedance analysis in migrant Asian Indian men and women: a cross validation study.

Authors:  E C Rush; V Chandu; L D Plank
Journal:  Int J Obes (Lond)       Date:  2006-01-24       Impact factor: 5.095

3.  Overweight and obesity in the United States: prevalence and trends, 1960-1994.

Authors:  K M Flegal; M D Carroll; R J Kuczmarski; C L Johnson
Journal:  Int J Obes Relat Metab Disord       Date:  1998-01

4.  Body fat and risk of colorectal cancer among postmenopausal women.

Authors:  Geoffrey C Kabat; Moonseong Heo; Jean Wactawski-Wende; Catherine Messina; Cynthia A Thomson; Sylvia Wassertheil-Smoller; Thomas E Rohan
Journal:  Cancer Causes Control       Date:  2013-04-02       Impact factor: 2.506

Review 5.  Obesity and colorectal cancer.

Authors:  Marc Bardou; Alan N Barkun; Myriam Martel
Journal:  Gut       Date:  2013-03-12       Impact factor: 23.059

6.  Association between sex hormones and colorectal cancer risk in men and women.

Authors:  Jennifer H Lin; Shumin M Zhang; Kathryn M Rexrode; Joann E Manson; Andrew T Chan; Kana Wu; Shelley S Tworoger; Susan E Hankinson; Charles Fuchs; J Michael Gaziano; Julie E Buring; Edward Giovannucci
Journal:  Clin Gastroenterol Hepatol       Date:  2012-11-28       Impact factor: 11.382

Review 7.  A quantitative analysis of body mass index and colorectal cancer: findings from 56 observational studies.

Authors:  Y Ning; L Wang; E L Giovannucci
Journal:  Obes Rev       Date:  2009-06-16       Impact factor: 9.213

8.  Comparison of associations of body mass index, abdominal adiposity, and risk of colorectal cancer in a large prospective cohort study.

Authors:  Marlen Keimling; Andrew G Renehan; Gundula Behrens; Beate Fischer; Albert R Hollenbeck; Amanda J Cross; Michael F Leitzmann
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-05-29       Impact factor: 4.254

9.  A prospective study of waist circumference and body mass index in relation to colorectal cancer incidence.

Authors:  Yiting Wang; Eric J Jacobs; Alpa V Patel; Carmen Rodríguez; Marjorie L McCullough; Michael J Thun; Eugenia E Calle
Journal:  Cancer Causes Control       Date:  2008-03-06       Impact factor: 2.506

10.  Body size and risk of colon and rectal cancer in the European Prospective Investigation Into Cancer and Nutrition (EPIC).

Authors:  Tobias Pischon; Petra H Lahmann; Heiner Boeing; Christine Friedenreich; Teresa Norat; Anne Tjønneland; Jytte Halkjaer; Kim Overvad; Françoise Clavel-Chapelon; Marie-Christine Boutron-Ruault; Gregory Guernec; Manuela M Bergmann; Jakob Linseisen; Nikolaus Becker; Antonia Trichopoulou; Dimitrios Trichopoulos; Sabina Sieri; Domenico Palli; Rosario Tumino; Paolo Vineis; Salvatore Panico; Petra H M Peeters; H Bas Bueno-de-Mesquita; Hendriek C Boshuizen; Bethany Van Guelpen; Richard Palmqvist; Göran Berglund; Carlos Alberto Gonzalez; Miren Dorronsoro; Aurelio Barricarte; Carmen Navarro; Carmen Martinez; J Ramón Quirós; Andrew Roddam; Naomi Allen; Sheila Bingham; Kay-Tee Khaw; Pietro Ferrari; Rudolf Kaaks; Nadia Slimani; Elio Riboli
Journal:  J Natl Cancer Inst       Date:  2006-07-05       Impact factor: 13.506

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  5 in total

1.  Expression of Autophagic and Inflammatory Markers in Normal Mucosa of Individuals with Colorectal Adenomas: A Cross Sectional Study among Italian Outpatients Undergoing Colonoscopy.

Authors:  Paola Sena; Stefano Mancini; Monica Pedroni; Luca Reggiani Bonetti; Gianluca Carnevale; Luca Roncucci
Journal:  Int J Mol Sci       Date:  2022-05-06       Impact factor: 6.208

2.  Predicted lean body mass, fat mass and risk of lung cancer: prospective US cohort study.

Authors:  Su-Min Jeong; Dong Hoon Lee; Edward L Giovannucci
Journal:  Eur J Epidemiol       Date:  2019-11-21       Impact factor: 8.082

3.  The perils of using predicted values in place of observed covariates: an example of predicted values of body composition and mortality risk.

Authors:  Gregory Haber; Joshua Sampson; Katherine M Flegal; Barry Graubard
Journal:  Am J Clin Nutr       Date:  2021-08-02       Impact factor: 7.045

4.  Association of Adiponectin and Vitamin D With Tumor Infiltrating Lymphocytes and Survival in Stage III Colon Cancer.

Authors:  Frank A Sinicrope; Qian Shi; Thomas C Smyrk; Richard M Goldberg; Steven J Cohen; Sharlene Gill; Morton S Kahlenberg; Suresh Nair; Anthony F Shield; Balkrishna N Jahagirdar; Sawyer B Jacobson; Nathan R Foster; Michael N Pollak; Steven R Alberts
Journal:  JNCI Cancer Spectr       Date:  2021-07-23

5.  Association between body fat percentage and H-type hypertension in postmenopausal women.

Authors:  Shihong Du; Xiuqin Hong; Yi Yang; Zihao Ding; Tong Yu
Journal:  Front Public Health       Date:  2022-07-22
  5 in total

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