BMI-based obesity cutoffs and excess adiposity in a Caribbean adolescent population of African origin
Objective: To evaluate the diagnostic utility of recommended body mass index (BMI)-based classification systems in detecting excess body fat (BF) in an Afro-Caribbean adolescent population. Subjects: All adolescents aged 12-18 years were invited to participate in the study. A total of 3749 persons p...
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| Veröffentlicht in: | European journal of clinical nutrition 2009-02, Vol.63 (2), p.253-258 |
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| description | Objective: To evaluate the diagnostic utility of recommended body mass index (BMI)-based classification systems in detecting excess body fat (BF) in an Afro-Caribbean adolescent population. Subjects: All adolescents aged 12-18 years were invited to participate in the study. A total of 3749 persons participated fully in the study. Result: Males (12.2%) (95% confidence interval (CI): 10.7, 13.9) and females (43.6%) (95% CI: 41.5, 45.7) had excess adiposity. Specificities were high for all cutoff values (range 90.1-99.7%). Sensitivities ranged from 25.7 to 86.4% and from 15.6 to 54.4% for Centre for Disease Control (CDC) and International Obesity Task Force (IOTF) cutoff values, respectively. The mean areas under the receiver-operating characteristic curves ranged from 62.7 to 88.2% in males and 57.7 to 75.1% in females, while positive likelihood ratios ranged from 8.7 to 90.9 for the recommended BMI cutoff values. Conclusions: Overall, the CDC cutoffs had a higher sensitivity than the IOTF cutoffs in screening for excess fat. Specificities were high for cutoff values in both systems and would produce fewer false negatives. |
| doi_str_mv | 10.1038/sj.ejcn.1602913 |
| format | Article |
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Subjects: All adolescents aged 12-18 years were invited to participate in the study. A total of 3749 persons participated fully in the study. Result: Males (12.2%) (95% confidence interval (CI): 10.7, 13.9) and females (43.6%) (95% CI: 41.5, 45.7) had excess adiposity. Specificities were high for all cutoff values (range 90.1-99.7%). Sensitivities ranged from 25.7 to 86.4% and from 15.6 to 54.4% for Centre for Disease Control (CDC) and International Obesity Task Force (IOTF) cutoff values, respectively. The mean areas under the receiver-operating characteristic curves ranged from 62.7 to 88.2% in males and 57.7 to 75.1% in females, while positive likelihood ratios ranged from 8.7 to 90.9 for the recommended BMI cutoff values. Conclusions: Overall, the CDC cutoffs had a higher sensitivity than the IOTF cutoffs in screening for excess fat. Specificities were high for cutoff values in both systems and would produce fewer false negatives.</description><identifier>ISSN: 0954-3007</identifier><identifier>EISSN: 1476-5640</identifier><identifier>DOI: 10.1038/sj.ejcn.1602913</identifier><identifier>PMID: 17882133</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>accuracy ; Adipose Tissue ; Adiposity - ethnology ; Adolescent ; adolescent nutrition ; Adolescents ; African Caribbeans ; African Continental Ancestry Group ; Area Under Curve ; Biological and medical sciences ; Blacks ; Body fat ; Body Mass Index ; Body Size ; boys ; Child ; Classification systems ; Clinical Nutrition ; Confidence intervals ; Demographic aspects ; Disease control ; disease prevalence ; Electric Impedance ; Epidemiology ; Feeding. Feeding behavior ; Female ; Females ; Fundamental and applied biological sciences. Psychology ; girls ; Health aspects ; Humans ; Internal Medicine ; Likelihood ratio ; Male ; Males ; Medical diagnosis ; Medical sciences ; Medicine ; Medicine & Public Health ; Metabolic Diseases ; Minority & ethnic groups ; Obesity ; Obesity - diagnosis ; Obesity - ethnology ; original-article ; Physiological aspects ; Prevalence ; Public Health ; Reference Values ; Reproducibility of Results ; screening ; Sensitivity ; Sensitivity and Specificity ; Sex Factors ; Skinfold Thickness ; Teenagers ; Trinidad and Tobago ; Vertebrates: anatomy and physiology, studies on body, several organs or systems ; waist circumference ; Youth</subject><ispartof>European journal of clinical nutrition, 2009-02, Vol.63 (2), p.253-258</ispartof><rights>Springer Nature Limited 2009</rights><rights>2009 INIST-CNRS</rights><rights>COPYRIGHT 2009 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Feb 2009</rights><rights>Nature Publishing Group 2009.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c616t-ed1eadcd9950a6056c8f9df825fc20cae39188940a3056ca0f11274ccccfd0a83</citedby><cites>FETCH-LOGICAL-c616t-ed1eadcd9950a6056c8f9df825fc20cae39188940a3056ca0f11274ccccfd0a83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,27926,27927</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=21119162$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17882133$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nichols, S.D</creatorcontrib><creatorcontrib>Cadogan, F</creatorcontrib><title>BMI-based obesity cutoffs and excess adiposity in a Caribbean adolescent population of African origin</title><title>European journal of clinical nutrition</title><addtitle>Eur J Clin Nutr</addtitle><addtitle>Eur J Clin Nutr</addtitle><description>Objective: To evaluate the diagnostic utility of recommended body mass index (BMI)-based classification systems in detecting excess body fat (BF) in an Afro-Caribbean adolescent population. Subjects: All adolescents aged 12-18 years were invited to participate in the study. A total of 3749 persons participated fully in the study. Result: Males (12.2%) (95% confidence interval (CI): 10.7, 13.9) and females (43.6%) (95% CI: 41.5, 45.7) had excess adiposity. Specificities were high for all cutoff values (range 90.1-99.7%). Sensitivities ranged from 25.7 to 86.4% and from 15.6 to 54.4% for Centre for Disease Control (CDC) and International Obesity Task Force (IOTF) cutoff values, respectively. The mean areas under the receiver-operating characteristic curves ranged from 62.7 to 88.2% in males and 57.7 to 75.1% in females, while positive likelihood ratios ranged from 8.7 to 90.9 for the recommended BMI cutoff values. Conclusions: Overall, the CDC cutoffs had a higher sensitivity than the IOTF cutoffs in screening for excess fat. Specificities were high for cutoff values in both systems and would produce fewer false negatives.</description><subject>accuracy</subject><subject>Adipose Tissue</subject><subject>Adiposity - ethnology</subject><subject>Adolescent</subject><subject>adolescent nutrition</subject><subject>Adolescents</subject><subject>African Caribbeans</subject><subject>African Continental Ancestry Group</subject><subject>Area Under Curve</subject><subject>Biological and medical sciences</subject><subject>Blacks</subject><subject>Body fat</subject><subject>Body Mass Index</subject><subject>Body Size</subject><subject>boys</subject><subject>Child</subject><subject>Classification systems</subject><subject>Clinical Nutrition</subject><subject>Confidence intervals</subject><subject>Demographic aspects</subject><subject>Disease control</subject><subject>disease prevalence</subject><subject>Electric Impedance</subject><subject>Epidemiology</subject><subject>Feeding. Feeding behavior</subject><subject>Female</subject><subject>Females</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>girls</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Likelihood ratio</subject><subject>Male</subject><subject>Males</subject><subject>Medical diagnosis</subject><subject>Medical sciences</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metabolic Diseases</subject><subject>Minority & ethnic groups</subject><subject>Obesity</subject><subject>Obesity - diagnosis</subject><subject>Obesity - ethnology</subject><subject>original-article</subject><subject>Physiological aspects</subject><subject>Prevalence</subject><subject>Public Health</subject><subject>Reference Values</subject><subject>Reproducibility of Results</subject><subject>screening</subject><subject>Sensitivity</subject><subject>Sensitivity and Specificity</subject><subject>Sex Factors</subject><subject>Skinfold Thickness</subject><subject>Teenagers</subject><subject>Trinidad and Tobago</subject><subject>Vertebrates: anatomy and physiology, studies on body, several organs or systems</subject><subject>waist circumference</subject><subject>Youth</subject><issn>0954-3007</issn><issn>1476-5640</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp1kstvEzEQh1cIRNPCmROwKqK3Tf3Y9a6PIeJRqYgD9GxN7HHqaGMHe1ei_z0OGzWAWtuSR_5943loiuIVJXNKeHeZNnPcaD-ngjBJ-ZNiRutWVI2oydNiRmRTV5yQ9qQ4TWlDSBZb9rw4oW3XMcr5rMAPX6-qFSQ0ZVhhcsNdqcchWJtK8KbEXxpTNo3bhT-i8yWUS4hutULItgk9Jo1-KHdhN_YwuODLYMuFjU5nIES3dv5F8cxCn_Dl4T4rbj59_LH8Ul1_-3y1XFxXWlAxVGgogtFGyoaAII3QnZXGdqyxmhENyCXtOlkT4HsRiKWUtbXOyxoCHT8rLqZ_dzH8HDENautydn0PHsOYlBC5btm0GXz3H7gJY_Q5N8VEnQ-njGXq_FGKSpEpKTNUTdAaelTO2zBE0Gv0GKEPHq3LzwsqW5Gj1yTz8wf4vA1unX7Q4eIvh1uEfrhNoR_3rU7_gpcTqGNIKaJVu-i2EO8UJWo_Lipt1H5c1GFcssebQ4HjaovmyB_mIwPvDwAkDb2N4LVL9xyjlEoq9p0iE5ey5NcYj516PPbrycXDMEY8xr7X3066haBgHXPYm--MUE5oVwvSNvw3FY3qIA</recordid><startdate>20090201</startdate><enddate>20090201</enddate><creator>Nichols, S.D</creator><creator>Cadogan, F</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</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>3V.</scope><scope>7QP</scope><scope>7RV</scope><scope>7TK</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20090201</creationdate><title>BMI-based obesity cutoffs and excess adiposity in a Caribbean adolescent population of African origin</title><author>Nichols, S.D ; Cadogan, F</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c616t-ed1eadcd9950a6056c8f9df825fc20cae39188940a3056ca0f11274ccccfd0a83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>accuracy</topic><topic>Adipose Tissue</topic><topic>Adiposity - ethnology</topic><topic>Adolescent</topic><topic>adolescent nutrition</topic><topic>Adolescents</topic><topic>African Caribbeans</topic><topic>African Continental Ancestry Group</topic><topic>Area Under Curve</topic><topic>Biological and medical sciences</topic><topic>Blacks</topic><topic>Body fat</topic><topic>Body Mass Index</topic><topic>Body Size</topic><topic>boys</topic><topic>Child</topic><topic>Classification systems</topic><topic>Clinical Nutrition</topic><topic>Confidence intervals</topic><topic>Demographic aspects</topic><topic>Disease control</topic><topic>disease prevalence</topic><topic>Electric Impedance</topic><topic>Epidemiology</topic><topic>Feeding. Feeding behavior</topic><topic>Female</topic><topic>Females</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>girls</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>Likelihood ratio</topic><topic>Male</topic><topic>Males</topic><topic>Medical diagnosis</topic><topic>Medical sciences</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metabolic Diseases</topic><topic>Minority & ethnic groups</topic><topic>Obesity</topic><topic>Obesity - diagnosis</topic><topic>Obesity - ethnology</topic><topic>original-article</topic><topic>Physiological aspects</topic><topic>Prevalence</topic><topic>Public Health</topic><topic>Reference Values</topic><topic>Reproducibility of Results</topic><topic>screening</topic><topic>Sensitivity</topic><topic>Sensitivity and Specificity</topic><topic>Sex Factors</topic><topic>Skinfold Thickness</topic><topic>Teenagers</topic><topic>Trinidad and Tobago</topic><topic>Vertebrates: anatomy and physiology, studies on body, several organs or systems</topic><topic>waist circumference</topic><topic>Youth</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nichols, S.D</creatorcontrib><creatorcontrib>Cadogan, F</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>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of clinical nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nichols, S.D</au><au>Cadogan, F</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>BMI-based obesity cutoffs and excess adiposity in a Caribbean adolescent population of African origin</atitle><jtitle>European journal of clinical nutrition</jtitle><stitle>Eur J Clin Nutr</stitle><addtitle>Eur J Clin Nutr</addtitle><date>2009-02-01</date><risdate>2009</risdate><volume>63</volume><issue>2</issue><spage>253</spage><epage>258</epage><pages>253-258</pages><issn>0954-3007</issn><eissn>1476-5640</eissn><abstract>Objective: To evaluate the diagnostic utility of recommended body mass index (BMI)-based classification systems in detecting excess body fat (BF) in an Afro-Caribbean adolescent population. Subjects: All adolescents aged 12-18 years were invited to participate in the study. A total of 3749 persons participated fully in the study. Result: Males (12.2%) (95% confidence interval (CI): 10.7, 13.9) and females (43.6%) (95% CI: 41.5, 45.7) had excess adiposity. Specificities were high for all cutoff values (range 90.1-99.7%). Sensitivities ranged from 25.7 to 86.4% and from 15.6 to 54.4% for Centre for Disease Control (CDC) and International Obesity Task Force (IOTF) cutoff values, respectively. The mean areas under the receiver-operating characteristic curves ranged from 62.7 to 88.2% in males and 57.7 to 75.1% in females, while positive likelihood ratios ranged from 8.7 to 90.9 for the recommended BMI cutoff values. Conclusions: Overall, the CDC cutoffs had a higher sensitivity than the IOTF cutoffs in screening for excess fat. Specificities were high for cutoff values in both systems and would produce fewer false negatives.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>17882133</pmid><doi>10.1038/sj.ejcn.1602913</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | accuracy Adipose Tissue Adiposity - ethnology Adolescent adolescent nutrition Adolescents African Caribbeans African Continental Ancestry Group Area Under Curve Biological and medical sciences Blacks Body fat Body Mass Index Body Size boys Child Classification systems Clinical Nutrition Confidence intervals Demographic aspects Disease control disease prevalence Electric Impedance Epidemiology Feeding. Feeding behavior Female Females Fundamental and applied biological sciences. Psychology girls Health aspects Humans Internal Medicine Likelihood ratio Male Males Medical diagnosis Medical sciences Medicine Medicine & Public Health Metabolic Diseases Minority & ethnic groups Obesity Obesity - diagnosis Obesity - ethnology original-article Physiological aspects Prevalence Public Health Reference Values Reproducibility of Results screening Sensitivity Sensitivity and Specificity Sex Factors Skinfold Thickness Teenagers Trinidad and Tobago Vertebrates: anatomy and physiology, studies on body, several organs or systems waist circumference Youth |
| title | BMI-based obesity cutoffs and excess adiposity in a Caribbean adolescent population of African origin |
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