Waist circumference and not body mass index explains obesity-related health risk

Background: The addition of waist circumference (WC) to body mass index (BMI; in kg/m2) predicts a greater variance in health risk than does BMI alone; however, whether the reverse is true is not known. Objective: We evaluated whether BMI adds to the predictive power of WC in assessing obesity-relat...

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Veröffentlicht in:The American journal of clinical nutrition 2004-03, Vol.79 (3), p.379-384
Hauptverfasser: Janssen, I, Katzmarzyk, P.T, Ross, R
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Katzmarzyk, P.T
Ross, R
description Background: The addition of waist circumference (WC) to body mass index (BMI; in kg/m2) predicts a greater variance in health risk than does BMI alone; however, whether the reverse is true is not known. Objective: We evaluated whether BMI adds to the predictive power of WC in assessing obesity-related comorbidity. Design: Subjects were 14 924 adult participants in the third National Health and Nutrition Examination Survey, grouped into categories of BMI and WC in accordance with the National Institutes of Health cutoffs. Odds ratios for hypertension, dyslipidemia, and the metabolic syndrome were compared for overweight and class I obese BMI categories and the normal-weight category before and after adjustment for WC. BMI and WC were also included in the same regression model as continuous variables for prediction of the metabolic disorders. Results: With few exceptions, overweight and obese subjects were more likely to have hypertension, dyslipidemia, and the metabolic syndrome than were normal-weight subjects. After adjustment for WC category (normal or high), the odds of comorbidity, although attenuated, remained higher in overweight and obese subjects than in normal-weight subjects. However, after adjustment for WC as a continuous variable, the likelihood of hypertension, dyslipidemia, and the metabolic syndrome was similar in all groups. When WC and BMI were used as continuous variables in the same regression model, WC alone was a significant predictor of comorbidity. Conclusions: WC, and not BMI, explains obesity-related health risk. Thus, for a given WC value, overweight and obese persons and normal-weight persons have comparable health risks. However, when WC is dichotomized as normal or high, BMI remains a significant predictor of health risk.
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Objective: We evaluated whether BMI adds to the predictive power of WC in assessing obesity-related comorbidity. Design: Subjects were 14 924 adult participants in the third National Health and Nutrition Examination Survey, grouped into categories of BMI and WC in accordance with the National Institutes of Health cutoffs. Odds ratios for hypertension, dyslipidemia, and the metabolic syndrome were compared for overweight and class I obese BMI categories and the normal-weight category before and after adjustment for WC. BMI and WC were also included in the same regression model as continuous variables for prediction of the metabolic disorders. Results: With few exceptions, overweight and obese subjects were more likely to have hypertension, dyslipidemia, and the metabolic syndrome than were normal-weight subjects. After adjustment for WC category (normal or high), the odds of comorbidity, although attenuated, remained higher in overweight and obese subjects than in normal-weight subjects. However, after adjustment for WC as a continuous variable, the likelihood of hypertension, dyslipidemia, and the metabolic syndrome was similar in all groups. When WC and BMI were used as continuous variables in the same regression model, WC alone was a significant predictor of comorbidity. Conclusions: WC, and not BMI, explains obesity-related health risk. Thus, for a given WC value, overweight and obese persons and normal-weight persons have comparable health risks. However, when WC is dichotomized as normal or high, BMI remains a significant predictor of health risk.</description><identifier>ISSN: 0002-9165</identifier><identifier>EISSN: 1938-3207</identifier><identifier>DOI: 10.1093/ajcn/79.3.379</identifier><identifier>PMID: 14985210</identifier><identifier>CODEN: AJCNAC</identifier><language>eng</language><publisher>Bethesda, MD: American Society for Clinical Nutrition</publisher><subject>Abdomen - anatomy &amp; histology ; Adult ; Biological and medical sciences ; Body Constitution ; Body Mass Index ; Cross-Sectional Studies ; Feeding. Feeding behavior ; Female ; Fundamental and applied biological sciences. 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Objective: We evaluated whether BMI adds to the predictive power of WC in assessing obesity-related comorbidity. Design: Subjects were 14 924 adult participants in the third National Health and Nutrition Examination Survey, grouped into categories of BMI and WC in accordance with the National Institutes of Health cutoffs. Odds ratios for hypertension, dyslipidemia, and the metabolic syndrome were compared for overweight and class I obese BMI categories and the normal-weight category before and after adjustment for WC. BMI and WC were also included in the same regression model as continuous variables for prediction of the metabolic disorders. Results: With few exceptions, overweight and obese subjects were more likely to have hypertension, dyslipidemia, and the metabolic syndrome than were normal-weight subjects. After adjustment for WC category (normal or high), the odds of comorbidity, although attenuated, remained higher in overweight and obese subjects than in normal-weight subjects. However, after adjustment for WC as a continuous variable, the likelihood of hypertension, dyslipidemia, and the metabolic syndrome was similar in all groups. When WC and BMI were used as continuous variables in the same regression model, WC alone was a significant predictor of comorbidity. Conclusions: WC, and not BMI, explains obesity-related health risk. Thus, for a given WC value, overweight and obese persons and normal-weight persons have comparable health risks. However, when WC is dichotomized as normal or high, BMI remains a significant predictor of health risk.</description><subject>Abdomen - anatomy &amp; histology</subject><subject>Adult</subject><subject>Biological and medical sciences</subject><subject>Body Constitution</subject><subject>Body Mass Index</subject><subject>Cross-Sectional Studies</subject><subject>Feeding. Feeding behavior</subject><subject>Female</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Humans</subject><subject>hyperlipidemia</subject><subject>Hyperlipidemias - epidemiology</subject><subject>Hyperlipidemias - etiology</subject><subject>Hypertension - epidemiology</subject><subject>Hypertension - etiology</subject><subject>Male</subject><subject>metabolic diseases</subject><subject>metabolic syndrome</subject><subject>Metabolic Syndrome - epidemiology</subject><subject>Metabolic Syndrome - etiology</subject><subject>Middle Aged</subject><subject>Nutrition Surveys</subject><subject>obesity</subject><subject>Obesity - classification</subject><subject>Obesity - complications</subject><subject>Obesity - physiopathology</subject><subject>obesity-related diseases</subject><subject>Odds Ratio</subject><subject>overweight</subject><subject>portal hypertension</subject><subject>Predictive Value of Tests</subject><subject>Regression Analysis</subject><subject>Risk Factors</subject><subject>United States - epidemiology</subject><subject>Vertebrates: anatomy and physiology, studies on body, several organs or systems</subject><subject>waist circumference</subject><issn>0002-9165</issn><issn>1938-3207</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqF0E2LFDEQgOEgijuuHr1qLnrr2VTS6XSOsvgFCwq6eAyVdMXN2h9j0gM7_94MM7BHT4HwVFG8jL0GsQVh1RXeh_nK2K3aKmOfsA1Y1TdKCvOUbYQQsrHQ6Qv2opR7IUC2ffecXUBrey1BbNj3X5jKykPKYT9FyjQH4jgPfF5W7pfhwCcshad5oAdOD7sR01z44qmk9dBkGnGlgd8Rjusdz6n8ecmeRRwLvTq_l-z208ef11-am2-fv15_uGlCq83aEJkQtTd9MFJErxCgfomOAoK35DEOcQjSt_Z4pyYVvAFl-t6iBiUHdcnen_bu8vJ3T2V1UyqBxhFnWvbFGTCiDoj_QjCd7aRWFTYnGPJSSqbodjlNmA8OhDu2dsfWzlinXG1d_Zvz4r2faHjU57gVvDsDLAHHmHEOqTw6raUEa6p7e3IRF4e_a0V3-0PW64WwPYgW1D-iHZGg</recordid><startdate>20040301</startdate><enddate>20040301</enddate><creator>Janssen, I</creator><creator>Katzmarzyk, P.T</creator><creator>Ross, R</creator><general>American Society for Clinical Nutrition</general><scope>FBQ</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TS</scope><scope>7X8</scope></search><sort><creationdate>20040301</creationdate><title>Waist circumference and not body mass index explains obesity-related health risk</title><author>Janssen, I ; Katzmarzyk, P.T ; Ross, R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c457t-ee7cf5b78c720fb3a11ee706eca1b9ebafdfdc2b4952105e3cb7137889a5132d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Abdomen - anatomy &amp; histology</topic><topic>Adult</topic><topic>Biological and medical sciences</topic><topic>Body Constitution</topic><topic>Body Mass Index</topic><topic>Cross-Sectional Studies</topic><topic>Feeding. Feeding behavior</topic><topic>Female</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Humans</topic><topic>hyperlipidemia</topic><topic>Hyperlipidemias - epidemiology</topic><topic>Hyperlipidemias - etiology</topic><topic>Hypertension - epidemiology</topic><topic>Hypertension - etiology</topic><topic>Male</topic><topic>metabolic diseases</topic><topic>metabolic syndrome</topic><topic>Metabolic Syndrome - epidemiology</topic><topic>Metabolic Syndrome - etiology</topic><topic>Middle Aged</topic><topic>Nutrition Surveys</topic><topic>obesity</topic><topic>Obesity - classification</topic><topic>Obesity - complications</topic><topic>Obesity - physiopathology</topic><topic>obesity-related diseases</topic><topic>Odds Ratio</topic><topic>overweight</topic><topic>portal hypertension</topic><topic>Predictive Value of Tests</topic><topic>Regression Analysis</topic><topic>Risk Factors</topic><topic>United States - epidemiology</topic><topic>Vertebrates: anatomy and physiology, studies on body, several organs or systems</topic><topic>waist circumference</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Janssen, I</creatorcontrib><creatorcontrib>Katzmarzyk, P.T</creatorcontrib><creatorcontrib>Ross, R</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Physical Education Index</collection><collection>MEDLINE - Academic</collection><jtitle>The American journal of clinical nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Janssen, I</au><au>Katzmarzyk, P.T</au><au>Ross, R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Waist circumference and not body mass index explains obesity-related health risk</atitle><jtitle>The American journal of clinical nutrition</jtitle><addtitle>Am J Clin Nutr</addtitle><date>2004-03-01</date><risdate>2004</risdate><volume>79</volume><issue>3</issue><spage>379</spage><epage>384</epage><pages>379-384</pages><issn>0002-9165</issn><eissn>1938-3207</eissn><coden>AJCNAC</coden><abstract>Background: The addition of waist circumference (WC) to body mass index (BMI; in kg/m2) predicts a greater variance in health risk than does BMI alone; however, whether the reverse is true is not known. Objective: We evaluated whether BMI adds to the predictive power of WC in assessing obesity-related comorbidity. Design: Subjects were 14 924 adult participants in the third National Health and Nutrition Examination Survey, grouped into categories of BMI and WC in accordance with the National Institutes of Health cutoffs. Odds ratios for hypertension, dyslipidemia, and the metabolic syndrome were compared for overweight and class I obese BMI categories and the normal-weight category before and after adjustment for WC. BMI and WC were also included in the same regression model as continuous variables for prediction of the metabolic disorders. Results: With few exceptions, overweight and obese subjects were more likely to have hypertension, dyslipidemia, and the metabolic syndrome than were normal-weight subjects. After adjustment for WC category (normal or high), the odds of comorbidity, although attenuated, remained higher in overweight and obese subjects than in normal-weight subjects. However, after adjustment for WC as a continuous variable, the likelihood of hypertension, dyslipidemia, and the metabolic syndrome was similar in all groups. When WC and BMI were used as continuous variables in the same regression model, WC alone was a significant predictor of comorbidity. Conclusions: WC, and not BMI, explains obesity-related health risk. Thus, for a given WC value, overweight and obese persons and normal-weight persons have comparable health risks. However, when WC is dichotomized as normal or high, BMI remains a significant predictor of health risk.</abstract><cop>Bethesda, MD</cop><pub>American Society for Clinical Nutrition</pub><pmid>14985210</pmid><doi>10.1093/ajcn/79.3.379</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
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subjects Abdomen - anatomy & histology
Adult
Biological and medical sciences
Body Constitution
Body Mass Index
Cross-Sectional Studies
Feeding. Feeding behavior
Female
Fundamental and applied biological sciences. Psychology
Humans
hyperlipidemia
Hyperlipidemias - epidemiology
Hyperlipidemias - etiology
Hypertension - epidemiology
Hypertension - etiology
Male
metabolic diseases
metabolic syndrome
Metabolic Syndrome - epidemiology
Metabolic Syndrome - etiology
Middle Aged
Nutrition Surveys
obesity
Obesity - classification
Obesity - complications
Obesity - physiopathology
obesity-related diseases
Odds Ratio
overweight
portal hypertension
Predictive Value of Tests
Regression Analysis
Risk Factors
United States - epidemiology
Vertebrates: anatomy and physiology, studies on body, several organs or systems
waist circumference
title Waist circumference and not body mass index explains obesity-related health risk
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