The dangers of categorizing body mass index [7]

European Heart Journal

Volumn 27, Issue 23, 2006, Pages 2903-2904

  Hamilton, Cody ^a   Filardo, Giovanni ^a,b  

^a BAYLOR HEALTH CARE SYSTEM   (United States)

^b SOUTHERN METHODIST UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BODY MASS; CORONARY RISK; GENDER; HUMAN; LETTER; MORBID OBESITY; OBESITY; PRIORITY JOURNAL; STATISTICAL ANALYSIS; WORLD HEALTH ORGANIZATION;

BODY MASS INDEX; CORONARY DISEASE; FEMALE; HUMANS; MALE; OBESITY; PRACTICE GUIDELINES;

EID: 33845318896     PISSN: 0195668X     EISSN: 15229645     Source Type: Journal    
DOI: 10.1093/eurheartj/ehl330     Document Type: Letter

References (6)

1. Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults. The Evidence Report. NIH Publication No.98-4083, September 1998, The National Institutes of Health.
2. World Health Organization. Chronic disease information sheets: Obesity and overweight. http://www.who.int/dietphysicalactivity/publications/facts/ obesity/en/ (29 September 2005).
3. Royston P, Altman DG, Sauerbrei W. Dichotomizing continuous predictors in multiple regression: a bad idea. Stat Med 2006;25:127-141.
4. Harrell FE Jr. Regression Modeling Strategies: with Application to Linear Models, Logistic Regression, and Survival Analysis. New York: Springer-Verlag, 2001.
5. Taylor JMG, Yu M. Bias and efficiency loss due to categorizing an explanatory variable. J Mult Anal 2002;83:248-263.
6. Ragland DR. Dichotomizing continuous outcome variables: dependence of the magnitude of association and statistical power on the cutpoint. Epidemiology 1992;3:40-43.