Body composition-derived BMI cut-offs for overweight and obesity in Indians and Creoles of Mauritius: comparison with Caucasians
Background and Aims: Global estimates of overweight and obesity prevalence are based on the World Health Organisation (WHO) body mass index (BMI) cut-off values of 25 and 30 kg m − 2 , respectively. To validate these BMI cut-offs for adiposity in the island population of Mauritius, we assessed the r...
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| Veröffentlicht in: | International Journal of Obesity 2016-12, Vol.40 (12), p.1906-1914 |
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| creator | Hunma, S Ramuth, H Miles-Chan, J L Schutz, Y Montani, J-P Joonas, N Dulloo, A G |
| description | Background and Aims:
Global estimates of overweight and obesity prevalence are based on the World Health Organisation (WHO) body mass index (BMI) cut-off values of 25 and 30 kg m
−
2
, respectively. To validate these BMI cut-offs for adiposity in the island population of Mauritius, we assessed the relationship between BMI and measured body fat mass in this population according to gender and ethnicity.
Methods:
In 175 young adult Mauritians (age 20-42 years) belonging to the two main ethnic groups—Indians (South Asian descent) and Creoles (African/Malagasy descent), body weight, height and waist circumference (WC) were measured, total body fat assessed by deuterium oxide (D2O) dilution and trunk (abdominal) fat by segmental bioimpedance analysis.
Results:
Compared to body fat% predicted from BMI using Caucasian-based equations, body fat% assessed by D2O dilution in Mauritians was higher by 3–5 units in Indian men and women as well as in Creole women, but not in Creole men. This gender-specific ethnic difference in body composition between Indians and Creoles is reflected in their BMI–Fat% relationships, as well as in their WC–Trunk Fat% relationships. Overall, WHO BMI cut-offs of 25 and 30 kg m
−
2
for overweight and obesity, respectively, seem valid only for Creole men (~24 and 29.5, respectively), but not for Creole women whose BMI cut-offs are 2–4 units lower (21–22 for overweight; 27–28 for obese) nor for Indian men and women whose BMI cut-offs are 3–4 units lower (21–22 for overweight; 26–27 for obese).
Conclusions:
The use of BMI cut-off points for classifying overweight and obesity need to take into account both ethnicity and gender to avoid gross adiposity status misclassification in this population known to be at high risk for type-2 diabetes and cardiovascular diseases. This is particularly of importance in obesity prevention strategies both in clinical medicine and public health. |
| doi_str_mv | 10.1038/ijo.2016.176 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5144117</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A472850907</galeid><sourcerecordid>A472850907</sourcerecordid><originalsourceid>FETCH-LOGICAL-c581t-63d7701b5c8c75f9b6003a61c340edf64680949cb8edfea4775ba606c547bab3</originalsourceid><addsrcrecordid>eNqNkk1vEzEQhlcIREPhxhlZQkIc2GBn_bHLAamN-IjUikvvltc7mzjaeIK9myo3fjreppQE9YB8sDx-5vXM-M2y14xOGS3Kj26N0xllcsqUfJJNGFcyF7xST7MJLajKqZDiLHsR45pSKgSdPc_OZkpWZcHVJPt1ic2eWNxsMbreoc8bCG4HDbm8XhA79Dm2bSQtBoI7CLfglqueGN8QrCFl7InzZOEbZ3y8C88DYAeRYEuuzRCS5hA_3T1ggovoya3rV2RuBmvimPQye9aaLsKr-_08u_n65Wb-Pb_68W0xv7jKrShZn8uiUYqyWtjSKtFWtaS0MJLZglNoWsllSSte2bpMJzBcKVEbSaUVXNWmLs6zzwfZ7VBvoLHg-2A6vQ1uY8Jeo3H69Ma7lV7iTgvGOWMqCby_Fwj4c4DY642LFrrOeMAhalbKskjFiOo_0EIUIn2LTOjbf9A1DsGnQSSKpx4rWqq_1NJ0oJ1vMZVoR1F9wdWsFAkbqekjVFoNbJxFD61L8ZOEd0cJKzBdv4rYDaMN4in44QDagDEGaB_mxqgeTaiTCfVoQp1MmPA3x7N-gP-4LgH5AYjpyi8hHHX9mOBvZ0LmJQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1846009087</pqid></control><display><type>article</type><title>Body composition-derived BMI cut-offs for overweight and obesity in Indians and Creoles of Mauritius: comparison with Caucasians</title><source>MEDLINE</source><source>Springer Nature - Complete Springer Journals</source><source>Nature</source><creator>Hunma, S ; Ramuth, H ; Miles-Chan, J L ; Schutz, Y ; Montani, J-P ; Joonas, N ; Dulloo, A G</creator><creatorcontrib>Hunma, S ; Ramuth, H ; Miles-Chan, J L ; Schutz, Y ; Montani, J-P ; Joonas, N ; Dulloo, A G</creatorcontrib><description>Background and Aims:
Global estimates of overweight and obesity prevalence are based on the World Health Organisation (WHO) body mass index (BMI) cut-off values of 25 and 30 kg m
−
2
, respectively. To validate these BMI cut-offs for adiposity in the island population of Mauritius, we assessed the relationship between BMI and measured body fat mass in this population according to gender and ethnicity.
Methods:
In 175 young adult Mauritians (age 20-42 years) belonging to the two main ethnic groups—Indians (South Asian descent) and Creoles (African/Malagasy descent), body weight, height and waist circumference (WC) were measured, total body fat assessed by deuterium oxide (D2O) dilution and trunk (abdominal) fat by segmental bioimpedance analysis.
Results:
Compared to body fat% predicted from BMI using Caucasian-based equations, body fat% assessed by D2O dilution in Mauritians was higher by 3–5 units in Indian men and women as well as in Creole women, but not in Creole men. This gender-specific ethnic difference in body composition between Indians and Creoles is reflected in their BMI–Fat% relationships, as well as in their WC–Trunk Fat% relationships. Overall, WHO BMI cut-offs of 25 and 30 kg m
−
2
for overweight and obesity, respectively, seem valid only for Creole men (~24 and 29.5, respectively), but not for Creole women whose BMI cut-offs are 2–4 units lower (21–22 for overweight; 27–28 for obese) nor for Indian men and women whose BMI cut-offs are 3–4 units lower (21–22 for overweight; 26–27 for obese).
Conclusions:
The use of BMI cut-off points for classifying overweight and obesity need to take into account both ethnicity and gender to avoid gross adiposity status misclassification in this population known to be at high risk for type-2 diabetes and cardiovascular diseases. This is particularly of importance in obesity prevention strategies both in clinical medicine and public health.</description><identifier>ISSN: 0307-0565</identifier><identifier>EISSN: 1476-5497</identifier><identifier>DOI: 10.1038/ijo.2016.176</identifier><identifier>PMID: 27698347</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>692/499 ; Abdomen ; Adiposity - ethnology ; Adult ; Asian People ; Black People ; Body Composition ; Body fat ; Body Mass Index ; Body weight ; Cardiovascular disease ; Cardiovascular diseases ; Creoles ; Cultural differences ; Demographic aspects ; Deuterium ; Diabetes ; Disease prevention ; Epidemiology ; Ethnicity ; Exercise ; Female ; Gender ; Health aspects ; Health Promotion and Disease Prevention ; Hospitals ; Humans ; Internal Medicine ; Male ; Mauritians ; Mauritius - epidemiology ; Mauritius - ethnology ; Measurement ; Medicine ; Medicine & Public Health ; Metabolic Diseases ; Minority & ethnic groups ; Obesity ; Obesity - epidemiology ; Obesity - ethnology ; Original ; original-article ; Overseas Indians (Asian people) ; Overweight ; Overweight persons ; Physiology ; Prevalence ; Public Health ; Quality of life ; Reference Values ; Waist Circumference ; White People ; Womens health ; Young Adult ; Young adults</subject><ispartof>International Journal of Obesity, 2016-12, Vol.40 (12), p.1906-1914</ispartof><rights>The Author(s) 2016</rights><rights>COPYRIGHT 2016 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Dec 2016</rights><rights>Copyright © 2016 Macmillan Publishers Limited, part of Springer Nature. 2016 Macmillan Publishers Limited, part of Springer Nature.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c581t-63d7701b5c8c75f9b6003a61c340edf64680949cb8edfea4775ba606c547bab3</citedby><cites>FETCH-LOGICAL-c581t-63d7701b5c8c75f9b6003a61c340edf64680949cb8edfea4775ba606c547bab3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/ijo.2016.176$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/ijo.2016.176$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27698347$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hunma, S</creatorcontrib><creatorcontrib>Ramuth, H</creatorcontrib><creatorcontrib>Miles-Chan, J L</creatorcontrib><creatorcontrib>Schutz, Y</creatorcontrib><creatorcontrib>Montani, J-P</creatorcontrib><creatorcontrib>Joonas, N</creatorcontrib><creatorcontrib>Dulloo, A G</creatorcontrib><title>Body composition-derived BMI cut-offs for overweight and obesity in Indians and Creoles of Mauritius: comparison with Caucasians</title><title>International Journal of Obesity</title><addtitle>Int J Obes</addtitle><addtitle>Int J Obes (Lond)</addtitle><description>Background and Aims:
Global estimates of overweight and obesity prevalence are based on the World Health Organisation (WHO) body mass index (BMI) cut-off values of 25 and 30 kg m
−
2
, respectively. To validate these BMI cut-offs for adiposity in the island population of Mauritius, we assessed the relationship between BMI and measured body fat mass in this population according to gender and ethnicity.
Methods:
In 175 young adult Mauritians (age 20-42 years) belonging to the two main ethnic groups—Indians (South Asian descent) and Creoles (African/Malagasy descent), body weight, height and waist circumference (WC) were measured, total body fat assessed by deuterium oxide (D2O) dilution and trunk (abdominal) fat by segmental bioimpedance analysis.
Results:
Compared to body fat% predicted from BMI using Caucasian-based equations, body fat% assessed by D2O dilution in Mauritians was higher by 3–5 units in Indian men and women as well as in Creole women, but not in Creole men. This gender-specific ethnic difference in body composition between Indians and Creoles is reflected in their BMI–Fat% relationships, as well as in their WC–Trunk Fat% relationships. Overall, WHO BMI cut-offs of 25 and 30 kg m
−
2
for overweight and obesity, respectively, seem valid only for Creole men (~24 and 29.5, respectively), but not for Creole women whose BMI cut-offs are 2–4 units lower (21–22 for overweight; 27–28 for obese) nor for Indian men and women whose BMI cut-offs are 3–4 units lower (21–22 for overweight; 26–27 for obese).
Conclusions:
The use of BMI cut-off points for classifying overweight and obesity need to take into account both ethnicity and gender to avoid gross adiposity status misclassification in this population known to be at high risk for type-2 diabetes and cardiovascular diseases. This is particularly of importance in obesity prevention strategies both in clinical medicine and public health.</description><subject>692/499</subject><subject>Abdomen</subject><subject>Adiposity - ethnology</subject><subject>Adult</subject><subject>Asian People</subject><subject>Black People</subject><subject>Body Composition</subject><subject>Body fat</subject><subject>Body Mass Index</subject><subject>Body weight</subject><subject>Cardiovascular disease</subject><subject>Cardiovascular diseases</subject><subject>Creoles</subject><subject>Cultural differences</subject><subject>Demographic aspects</subject><subject>Deuterium</subject><subject>Diabetes</subject><subject>Disease prevention</subject><subject>Epidemiology</subject><subject>Ethnicity</subject><subject>Exercise</subject><subject>Female</subject><subject>Gender</subject><subject>Health aspects</subject><subject>Health Promotion and Disease Prevention</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Male</subject><subject>Mauritians</subject><subject>Mauritius - epidemiology</subject><subject>Mauritius - ethnology</subject><subject>Measurement</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metabolic Diseases</subject><subject>Minority & ethnic groups</subject><subject>Obesity</subject><subject>Obesity - epidemiology</subject><subject>Obesity - ethnology</subject><subject>Original</subject><subject>original-article</subject><subject>Overseas Indians (Asian people)</subject><subject>Overweight</subject><subject>Overweight persons</subject><subject>Physiology</subject><subject>Prevalence</subject><subject>Public Health</subject><subject>Quality of life</subject><subject>Reference Values</subject><subject>Waist Circumference</subject><subject>White People</subject><subject>Womens health</subject><subject>Young Adult</subject><subject>Young adults</subject><issn>0307-0565</issn><issn>1476-5497</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqNkk1vEzEQhlcIREPhxhlZQkIc2GBn_bHLAamN-IjUikvvltc7mzjaeIK9myo3fjreppQE9YB8sDx-5vXM-M2y14xOGS3Kj26N0xllcsqUfJJNGFcyF7xST7MJLajKqZDiLHsR45pSKgSdPc_OZkpWZcHVJPt1ic2eWNxsMbreoc8bCG4HDbm8XhA79Dm2bSQtBoI7CLfglqueGN8QrCFl7InzZOEbZ3y8C88DYAeRYEuuzRCS5hA_3T1ggovoya3rV2RuBmvimPQye9aaLsKr-_08u_n65Wb-Pb_68W0xv7jKrShZn8uiUYqyWtjSKtFWtaS0MJLZglNoWsllSSte2bpMJzBcKVEbSaUVXNWmLs6zzwfZ7VBvoLHg-2A6vQ1uY8Jeo3H69Ma7lV7iTgvGOWMqCby_Fwj4c4DY642LFrrOeMAhalbKskjFiOo_0EIUIn2LTOjbf9A1DsGnQSSKpx4rWqq_1NJ0oJ1vMZVoR1F9wdWsFAkbqekjVFoNbJxFD61L8ZOEd0cJKzBdv4rYDaMN4in44QDagDEGaB_mxqgeTaiTCfVoQp1MmPA3x7N-gP-4LgH5AYjpyi8hHHX9mOBvZ0LmJQ</recordid><startdate>20161201</startdate><enddate>20161201</enddate><creator>Hunma, S</creator><creator>Ramuth, H</creator><creator>Miles-Chan, J L</creator><creator>Schutz, Y</creator><creator>Montani, J-P</creator><creator>Joonas, N</creator><creator>Dulloo, A G</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</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>7T2</scope><scope>7TK</scope><scope>7TS</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>7U2</scope><scope>5PM</scope></search><sort><creationdate>20161201</creationdate><title>Body composition-derived BMI cut-offs for overweight and obesity in Indians and Creoles of Mauritius: comparison with Caucasians</title><author>Hunma, S ; Ramuth, H ; Miles-Chan, J L ; Schutz, Y ; Montani, J-P ; Joonas, N ; Dulloo, A G</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c581t-63d7701b5c8c75f9b6003a61c340edf64680949cb8edfea4775ba606c547bab3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>692/499</topic><topic>Abdomen</topic><topic>Adiposity - ethnology</topic><topic>Adult</topic><topic>Asian People</topic><topic>Black People</topic><topic>Body Composition</topic><topic>Body fat</topic><topic>Body Mass Index</topic><topic>Body weight</topic><topic>Cardiovascular disease</topic><topic>Cardiovascular diseases</topic><topic>Creoles</topic><topic>Cultural differences</topic><topic>Demographic aspects</topic><topic>Deuterium</topic><topic>Diabetes</topic><topic>Disease prevention</topic><topic>Epidemiology</topic><topic>Ethnicity</topic><topic>Exercise</topic><topic>Female</topic><topic>Gender</topic><topic>Health aspects</topic><topic>Health Promotion and Disease Prevention</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>Male</topic><topic>Mauritians</topic><topic>Mauritius - epidemiology</topic><topic>Mauritius - ethnology</topic><topic>Measurement</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metabolic Diseases</topic><topic>Minority & ethnic groups</topic><topic>Obesity</topic><topic>Obesity - epidemiology</topic><topic>Obesity - ethnology</topic><topic>Original</topic><topic>original-article</topic><topic>Overseas Indians (Asian people)</topic><topic>Overweight</topic><topic>Overweight persons</topic><topic>Physiology</topic><topic>Prevalence</topic><topic>Public Health</topic><topic>Quality of life</topic><topic>Reference Values</topic><topic>Waist Circumference</topic><topic>White People</topic><topic>Womens health</topic><topic>Young Adult</topic><topic>Young adults</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hunma, S</creatorcontrib><creatorcontrib>Ramuth, H</creatorcontrib><creatorcontrib>Miles-Chan, J L</creatorcontrib><creatorcontrib>Schutz, Y</creatorcontrib><creatorcontrib>Montani, J-P</creatorcontrib><creatorcontrib>Joonas, N</creatorcontrib><creatorcontrib>Dulloo, A G</creatorcontrib><collection>Springer Nature OA Free Journals</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>Health and Safety Science Abstracts (Full archive)</collection><collection>Neurosciences Abstracts</collection><collection>Physical Education Index</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>Psychology Database (Alumni)</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>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</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>Environmental Sciences and Pollution Management</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>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>Biological Science Database</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 One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>Safety Science and Risk</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International Journal of Obesity</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hunma, S</au><au>Ramuth, H</au><au>Miles-Chan, J L</au><au>Schutz, Y</au><au>Montani, J-P</au><au>Joonas, N</au><au>Dulloo, A G</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Body composition-derived BMI cut-offs for overweight and obesity in Indians and Creoles of Mauritius: comparison with Caucasians</atitle><jtitle>International Journal of Obesity</jtitle><stitle>Int J Obes</stitle><addtitle>Int J Obes (Lond)</addtitle><date>2016-12-01</date><risdate>2016</risdate><volume>40</volume><issue>12</issue><spage>1906</spage><epage>1914</epage><pages>1906-1914</pages><issn>0307-0565</issn><eissn>1476-5497</eissn><abstract>Background and Aims:
Global estimates of overweight and obesity prevalence are based on the World Health Organisation (WHO) body mass index (BMI) cut-off values of 25 and 30 kg m
−
2
, respectively. To validate these BMI cut-offs for adiposity in the island population of Mauritius, we assessed the relationship between BMI and measured body fat mass in this population according to gender and ethnicity.
Methods:
In 175 young adult Mauritians (age 20-42 years) belonging to the two main ethnic groups—Indians (South Asian descent) and Creoles (African/Malagasy descent), body weight, height and waist circumference (WC) were measured, total body fat assessed by deuterium oxide (D2O) dilution and trunk (abdominal) fat by segmental bioimpedance analysis.
Results:
Compared to body fat% predicted from BMI using Caucasian-based equations, body fat% assessed by D2O dilution in Mauritians was higher by 3–5 units in Indian men and women as well as in Creole women, but not in Creole men. This gender-specific ethnic difference in body composition between Indians and Creoles is reflected in their BMI–Fat% relationships, as well as in their WC–Trunk Fat% relationships. Overall, WHO BMI cut-offs of 25 and 30 kg m
−
2
for overweight and obesity, respectively, seem valid only for Creole men (~24 and 29.5, respectively), but not for Creole women whose BMI cut-offs are 2–4 units lower (21–22 for overweight; 27–28 for obese) nor for Indian men and women whose BMI cut-offs are 3–4 units lower (21–22 for overweight; 26–27 for obese).
Conclusions:
The use of BMI cut-off points for classifying overweight and obesity need to take into account both ethnicity and gender to avoid gross adiposity status misclassification in this population known to be at high risk for type-2 diabetes and cardiovascular diseases. This is particularly of importance in obesity prevention strategies both in clinical medicine and public health.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>27698347</pmid><doi>10.1038/ijo.2016.176</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | International Journal of Obesity, 2016-12, Vol.40 (12), p.1906-1914 |
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| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5144117 |
| source | MEDLINE; Springer Nature - Complete Springer Journals; Nature |
| subjects | 692/499 Abdomen Adiposity - ethnology Adult Asian People Black People Body Composition Body fat Body Mass Index Body weight Cardiovascular disease Cardiovascular diseases Creoles Cultural differences Demographic aspects Deuterium Diabetes Disease prevention Epidemiology Ethnicity Exercise Female Gender Health aspects Health Promotion and Disease Prevention Hospitals Humans Internal Medicine Male Mauritians Mauritius - epidemiology Mauritius - ethnology Measurement Medicine Medicine & Public Health Metabolic Diseases Minority & ethnic groups Obesity Obesity - epidemiology Obesity - ethnology Original original-article Overseas Indians (Asian people) Overweight Overweight persons Physiology Prevalence Public Health Quality of life Reference Values Waist Circumference White People Womens health Young Adult Young adults |
| title | Body composition-derived BMI cut-offs for overweight and obesity in Indians and Creoles of Mauritius: comparison with Caucasians |
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