Anthropometric indices and their cut-off points in relation to type 2 diabetes among Ghanaian migrants and non-migrants: The RODAM study
•WHR performed better than WC and BMI as anthropometric indices for assessing the burden of T2DM among Ghanaians.•Optimal cut-offs for WC, BMI and WHR among Ghanaians varied based on sex and level of urbanization.•Cut-offs for BMI and WC were lower than WHO established standards among Ghanaians. To...
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| creator | Darko, Samuel N. Meeks, Karlijn A.C. Owiredu, William K.B.A. Laing, Edwin F. Boateng, Daniel Beune, Erik Addo, Juliet de-Graft Aikins, Ama Bahendeka, Silver Mockenhaupt, Frank Spranger, Joachim Agyei-Baffour, Peter Klipstein-Grobusch, Kerstin Smeeth, Liam Agyemang, Charles Owusu-Dabo, Ellis |
| description | •WHR performed better than WC and BMI as anthropometric indices for assessing the burden of T2DM among Ghanaians.•Optimal cut-offs for WC, BMI and WHR among Ghanaians varied based on sex and level of urbanization.•Cut-offs for BMI and WC were lower than WHO established standards among Ghanaians.
To compare body mass index (BMI), waist circumference (WC) and waist-to-hip ratio (WHR) as determinants of type 2 diabetes (T2DM) and determine optimal cut-offs in a sub-Saharan African population.
Data from the RODAM study including Ghanaians aged 25–70 living in rural Ghana, urban Ghana and Europe were used. Logistic regression was used to assess associations between BMI, WC, WHR and T2DM status, by sex and site. Area under the curve (AUC) were constructed to discriminate between indices and establish performance and cut-off values.
WHR had the strongest association with T2DM in men and women across sites, except for rural men. The highest adjusted odds ratio (aOR) and AUC were in rural women for WHR (aOR = 2.09, 95%CI = 1.47–2.99; AUC = 0.71). Among migrants, WHR had higher AUCs compared with BMI (p |
| doi_str_mv | 10.1016/j.diabres.2021.108687 |
| format | Article |
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To compare body mass index (BMI), waist circumference (WC) and waist-to-hip ratio (WHR) as determinants of type 2 diabetes (T2DM) and determine optimal cut-offs in a sub-Saharan African population.
Data from the RODAM study including Ghanaians aged 25–70 living in rural Ghana, urban Ghana and Europe were used. Logistic regression was used to assess associations between BMI, WC, WHR and T2DM status, by sex and site. Area under the curve (AUC) were constructed to discriminate between indices and establish performance and cut-off values.
WHR had the strongest association with T2DM in men and women across sites, except for rural men. The highest adjusted odds ratio (aOR) and AUC were in rural women for WHR (aOR = 2.09, 95%CI = 1.47–2.99; AUC = 0.71). Among migrants, WHR had higher AUCs compared with BMI (p < 0.01) and WC (p < 0.05). Cut-offs for BMI and WC in men were lower compared with the WHO reference across sites (WC: 85.4–93.7 vs 102 cm, BMI: 23.1–28.2 vs 30.0 kg/m2).
WHR outperformed BMI and WC as anthropometric indices in relation to T2DM among Ghanaian migrants. The lower BMI and WC cut-offs for T2DM than WHO established standards, highlights the need for African specific cut-offs to avoid missing high risk populations.</description><identifier>ISSN: 0168-8227</identifier><identifier>EISSN: 1872-8227</identifier><identifier>DOI: 10.1016/j.diabres.2021.108687</identifier><identifier>PMID: 33571601</identifier><language>eng</language><publisher>Ireland: Elsevier B.V</publisher><subject>Adult ; Aged ; Anthropometrics ; Anthropometry - methods ; Body Mass Index ; Cross-Sectional Studies ; Diabetes Mellitus, Type 2 - epidemiology ; Female ; Ghana ; Ghanaians ; Humans ; Male ; Middle Aged ; Migrants ; Risk Factors ; RODAM study ; Transients and Migrants ; Type 2 diabetes mellitus ; Waist Circumference - physiology ; Waist-Hip Ratio - methods</subject><ispartof>Diabetes research and clinical practice, 2021-03, Vol.173, p.108687-108687, Article 108687</ispartof><rights>2021 Elsevier B.V.</rights><rights>Copyright © 2021 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3167-3f32cd51949e81d9d0187c19647bab330bf2bba6d9980bad29def7610fab3d123</citedby><cites>FETCH-LOGICAL-c3167-3f32cd51949e81d9d0187c19647bab330bf2bba6d9980bad29def7610fab3d123</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.diabres.2021.108687$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33571601$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Darko, Samuel N.</creatorcontrib><creatorcontrib>Meeks, Karlijn A.C.</creatorcontrib><creatorcontrib>Owiredu, William K.B.A.</creatorcontrib><creatorcontrib>Laing, Edwin F.</creatorcontrib><creatorcontrib>Boateng, Daniel</creatorcontrib><creatorcontrib>Beune, Erik</creatorcontrib><creatorcontrib>Addo, Juliet</creatorcontrib><creatorcontrib>de-Graft Aikins, Ama</creatorcontrib><creatorcontrib>Bahendeka, Silver</creatorcontrib><creatorcontrib>Mockenhaupt, Frank</creatorcontrib><creatorcontrib>Spranger, Joachim</creatorcontrib><creatorcontrib>Agyei-Baffour, Peter</creatorcontrib><creatorcontrib>Klipstein-Grobusch, Kerstin</creatorcontrib><creatorcontrib>Smeeth, Liam</creatorcontrib><creatorcontrib>Agyemang, Charles</creatorcontrib><creatorcontrib>Owusu-Dabo, Ellis</creatorcontrib><title>Anthropometric indices and their cut-off points in relation to type 2 diabetes among Ghanaian migrants and non-migrants: The RODAM study</title><title>Diabetes research and clinical practice</title><addtitle>Diabetes Res Clin Pract</addtitle><description>•WHR performed better than WC and BMI as anthropometric indices for assessing the burden of T2DM among Ghanaians.•Optimal cut-offs for WC, BMI and WHR among Ghanaians varied based on sex and level of urbanization.•Cut-offs for BMI and WC were lower than WHO established standards among Ghanaians.
To compare body mass index (BMI), waist circumference (WC) and waist-to-hip ratio (WHR) as determinants of type 2 diabetes (T2DM) and determine optimal cut-offs in a sub-Saharan African population.
Data from the RODAM study including Ghanaians aged 25–70 living in rural Ghana, urban Ghana and Europe were used. Logistic regression was used to assess associations between BMI, WC, WHR and T2DM status, by sex and site. Area under the curve (AUC) were constructed to discriminate between indices and establish performance and cut-off values.
WHR had the strongest association with T2DM in men and women across sites, except for rural men. The highest adjusted odds ratio (aOR) and AUC were in rural women for WHR (aOR = 2.09, 95%CI = 1.47–2.99; AUC = 0.71). Among migrants, WHR had higher AUCs compared with BMI (p < 0.01) and WC (p < 0.05). Cut-offs for BMI and WC in men were lower compared with the WHO reference across sites (WC: 85.4–93.7 vs 102 cm, BMI: 23.1–28.2 vs 30.0 kg/m2).
WHR outperformed BMI and WC as anthropometric indices in relation to T2DM among Ghanaian migrants. The lower BMI and WC cut-offs for T2DM than WHO established standards, highlights the need for African specific cut-offs to avoid missing high risk populations.</description><subject>Adult</subject><subject>Aged</subject><subject>Anthropometrics</subject><subject>Anthropometry - methods</subject><subject>Body Mass Index</subject><subject>Cross-Sectional Studies</subject><subject>Diabetes Mellitus, Type 2 - epidemiology</subject><subject>Female</subject><subject>Ghana</subject><subject>Ghanaians</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Migrants</subject><subject>Risk Factors</subject><subject>RODAM study</subject><subject>Transients and Migrants</subject><subject>Type 2 diabetes mellitus</subject><subject>Waist Circumference - physiology</subject><subject>Waist-Hip Ratio - methods</subject><issn>0168-8227</issn><issn>1872-8227</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkctu2zAQRYkiReI8PqEFl9nI5cOipG4KI2ndAgkCBM6aoMhRTMMiVZIK4D_oZ4eKnW6zmsHw3HnwIvSFkjklVHzbzo1VbYA4Z4TRXKtFXX1CM1pXrKgZq07QLHP1W36GzmPcEkIEX5Sn6IzzsqKC0Bn6t3RpE_zge0jBamydsRoiVs7gtAEbsB5T4bsOD966FDOAA-xUst7h5HHaD4AZnnaBNOl6757xaqOcssrh3j4HNcmmfs674r3wHa83gB8fbpf3OKbR7C_R507tIlwd4wV6-vVzffO7uHtY_blZ3hWaU1EVvONMm5I2iwZqahpD8sGaNmJRtarlnLQda1slTNPUpFWGNQa6SlDS5VdDGb9A14e-Q_B_R4hJ9jZq2O2UAz9GyRZ1w0RZlSSj5QHVwccYoJNDsL0Ke0mJnEyQW3k0QU4myIMJWff1OGJsezD_Ve-_noEfBwDyoS8WgozagtNgbACdpPH2gxGv2yecDg</recordid><startdate>20210301</startdate><enddate>20210301</enddate><creator>Darko, Samuel N.</creator><creator>Meeks, Karlijn A.C.</creator><creator>Owiredu, William K.B.A.</creator><creator>Laing, Edwin F.</creator><creator>Boateng, Daniel</creator><creator>Beune, Erik</creator><creator>Addo, Juliet</creator><creator>de-Graft Aikins, Ama</creator><creator>Bahendeka, Silver</creator><creator>Mockenhaupt, Frank</creator><creator>Spranger, Joachim</creator><creator>Agyei-Baffour, Peter</creator><creator>Klipstein-Grobusch, Kerstin</creator><creator>Smeeth, Liam</creator><creator>Agyemang, Charles</creator><creator>Owusu-Dabo, Ellis</creator><general>Elsevier B.V</general><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>7X8</scope></search><sort><creationdate>20210301</creationdate><title>Anthropometric indices and their cut-off points in relation to type 2 diabetes among Ghanaian migrants and non-migrants: The RODAM study</title><author>Darko, Samuel N. ; Meeks, Karlijn A.C. ; Owiredu, William K.B.A. ; Laing, Edwin F. ; Boateng, Daniel ; Beune, Erik ; Addo, Juliet ; de-Graft Aikins, Ama ; Bahendeka, Silver ; Mockenhaupt, Frank ; Spranger, Joachim ; Agyei-Baffour, Peter ; Klipstein-Grobusch, Kerstin ; Smeeth, Liam ; Agyemang, Charles ; Owusu-Dabo, Ellis</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3167-3f32cd51949e81d9d0187c19647bab330bf2bba6d9980bad29def7610fab3d123</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Anthropometrics</topic><topic>Anthropometry - methods</topic><topic>Body Mass Index</topic><topic>Cross-Sectional Studies</topic><topic>Diabetes Mellitus, Type 2 - epidemiology</topic><topic>Female</topic><topic>Ghana</topic><topic>Ghanaians</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Migrants</topic><topic>Risk Factors</topic><topic>RODAM study</topic><topic>Transients and Migrants</topic><topic>Type 2 diabetes mellitus</topic><topic>Waist Circumference - physiology</topic><topic>Waist-Hip Ratio - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Darko, Samuel N.</creatorcontrib><creatorcontrib>Meeks, Karlijn A.C.</creatorcontrib><creatorcontrib>Owiredu, William K.B.A.</creatorcontrib><creatorcontrib>Laing, Edwin F.</creatorcontrib><creatorcontrib>Boateng, Daniel</creatorcontrib><creatorcontrib>Beune, Erik</creatorcontrib><creatorcontrib>Addo, Juliet</creatorcontrib><creatorcontrib>de-Graft Aikins, Ama</creatorcontrib><creatorcontrib>Bahendeka, Silver</creatorcontrib><creatorcontrib>Mockenhaupt, Frank</creatorcontrib><creatorcontrib>Spranger, Joachim</creatorcontrib><creatorcontrib>Agyei-Baffour, Peter</creatorcontrib><creatorcontrib>Klipstein-Grobusch, Kerstin</creatorcontrib><creatorcontrib>Smeeth, Liam</creatorcontrib><creatorcontrib>Agyemang, Charles</creatorcontrib><creatorcontrib>Owusu-Dabo, Ellis</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Diabetes research and clinical practice</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Darko, Samuel N.</au><au>Meeks, Karlijn A.C.</au><au>Owiredu, William K.B.A.</au><au>Laing, Edwin F.</au><au>Boateng, Daniel</au><au>Beune, Erik</au><au>Addo, Juliet</au><au>de-Graft Aikins, Ama</au><au>Bahendeka, Silver</au><au>Mockenhaupt, Frank</au><au>Spranger, Joachim</au><au>Agyei-Baffour, Peter</au><au>Klipstein-Grobusch, Kerstin</au><au>Smeeth, Liam</au><au>Agyemang, Charles</au><au>Owusu-Dabo, Ellis</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Anthropometric indices and their cut-off points in relation to type 2 diabetes among Ghanaian migrants and non-migrants: The RODAM study</atitle><jtitle>Diabetes research and clinical practice</jtitle><addtitle>Diabetes Res Clin Pract</addtitle><date>2021-03-01</date><risdate>2021</risdate><volume>173</volume><spage>108687</spage><epage>108687</epage><pages>108687-108687</pages><artnum>108687</artnum><issn>0168-8227</issn><eissn>1872-8227</eissn><abstract>•WHR performed better than WC and BMI as anthropometric indices for assessing the burden of T2DM among Ghanaians.•Optimal cut-offs for WC, BMI and WHR among Ghanaians varied based on sex and level of urbanization.•Cut-offs for BMI and WC were lower than WHO established standards among Ghanaians.
To compare body mass index (BMI), waist circumference (WC) and waist-to-hip ratio (WHR) as determinants of type 2 diabetes (T2DM) and determine optimal cut-offs in a sub-Saharan African population.
Data from the RODAM study including Ghanaians aged 25–70 living in rural Ghana, urban Ghana and Europe were used. Logistic regression was used to assess associations between BMI, WC, WHR and T2DM status, by sex and site. Area under the curve (AUC) were constructed to discriminate between indices and establish performance and cut-off values.
WHR had the strongest association with T2DM in men and women across sites, except for rural men. The highest adjusted odds ratio (aOR) and AUC were in rural women for WHR (aOR = 2.09, 95%CI = 1.47–2.99; AUC = 0.71). Among migrants, WHR had higher AUCs compared with BMI (p < 0.01) and WC (p < 0.05). Cut-offs for BMI and WC in men were lower compared with the WHO reference across sites (WC: 85.4–93.7 vs 102 cm, BMI: 23.1–28.2 vs 30.0 kg/m2).
WHR outperformed BMI and WC as anthropometric indices in relation to T2DM among Ghanaian migrants. The lower BMI and WC cut-offs for T2DM than WHO established standards, highlights the need for African specific cut-offs to avoid missing high risk populations.</abstract><cop>Ireland</cop><pub>Elsevier B.V</pub><pmid>33571601</pmid><doi>10.1016/j.diabres.2021.108687</doi><tpages>1</tpages></addata></record> |
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| ispartof | Diabetes research and clinical practice, 2021-03, Vol.173, p.108687-108687, Article 108687 |
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| subjects | Adult Aged Anthropometrics Anthropometry - methods Body Mass Index Cross-Sectional Studies Diabetes Mellitus, Type 2 - epidemiology Female Ghana Ghanaians Humans Male Middle Aged Migrants Risk Factors RODAM study Transients and Migrants Type 2 diabetes mellitus Waist Circumference - physiology Waist-Hip Ratio - methods |
| title | Anthropometric indices and their cut-off points in relation to type 2 diabetes among Ghanaian migrants and non-migrants: The RODAM study |
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