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dc.contributor.author
Patel, Shivani A.  
dc.contributor.author
Ali, Mohammed K.  
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Alam, Dewan  
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Yan, Lijing L.  
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Levitt, Naomi S.  
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Bernabe Ortiz, Antonio  
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Checkley, William  
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Wu, Yangfeng  
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Irazola, Vilma  
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Gutierrez, Laura  
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Rubinstein, Adolfo Luis  
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Shivashankar, Roopa  
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Li, Xian  
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Miranda, J. Jaime  
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Chowdhury, Muhammad Ashique Haider  
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Siddiquee, Ali Tanweer  
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Gaziano, Thomas A.  
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Kadir, M. Masood  
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Prabhakaran, Dorairaj  
dc.date.available
2019-12-02T20:49:06Z  
dc.date.issued
2016-03  
dc.identifier.citation
Patel, Shivani A.; Ali, Mohammed K.; Alam, Dewan; Yan, Lijing L.; Levitt, Naomi S.; et al.; Obesity and its Relation with Diabetes and Hypertension: A Cross-Sectional Study Across 4 Geographical Regions; Elsevier; Global Heart; 11; 1; 3-2016; 71-79.e4  
dc.identifier.issn
2211-8160  
dc.identifier.uri
http://hdl.handle.net/11336/91129  
dc.description.abstract
Background The implications of rising obesity for cardiovascular health in middle-income countries has generated interest, in part because associations between obesity and cardiovascular health seem to vary across ethnic groups. Objective We assessed general and central obesity in Africa, East Asia, South America, and South Asia. We further investigated whether body mass index (BMI) and waist circumference differentially relate to cardiovascular health; and associations between obesity metrics and adverse cardiovascular health vary by region. Methods Using baseline anthropometric data collected between 2008 and 2012 from 7 cohorts in 9 countries, we estimated the proportion of participants with general and central obesity using BMI and waist circumference classifications, respectively, by study site. We used Poisson regression to examine the associations (prevalence ratios) of continuously measured BMI and waist circumference with prevalent diabetes and hypertension by sex. Pooled estimates across studies were computed by sex and age. Results This study analyzed data from 31,118 participants aged 20 to 79 years. General obesity was highest in South Asian cities and central obesity was highest in South America. The proportion classified with general obesity (range 11% to 50%) tended to be lower than the proportion classified as centrally obese (range 19% to 79%). Every standard deviation higher of BMI was associated with 1.65 and 1.60 times higher probability of diabetes and 1.42 and 1.28 times higher probability of hypertension, for men and women, respectively, aged 40 to 69 years. Every standard deviation higher of waist circumference was associated with 1.48 and 1.74 times higher probability of diabetes and 1.34 and 1.31 times higher probability of hypertension, for men and women, respectively, aged 40 to 69 years. Associations of obesity measures with diabetes were strongest in South Africa among men and in South America among women. Associations with hypertension were weakest in South Africa among both sexes. Conclusions BMI and waist circumference were both reasonable predictors of prevalent diabetes and hypertension. Across diverse ethnicities and settings, BMI and waist circumference remain salient metrics of obesity that can identify those with increased cardiovascular risk.  
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application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
obesity  
dc.subject
diabetes  
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hypertension  
dc.subject.classification
Epidemiología  
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Ciencias de la Salud  
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CIENCIAS MÉDICAS Y DE LA SALUD  
dc.title
Obesity and its Relation with Diabetes and Hypertension: A Cross-Sectional Study Across 4 Geographical Regions  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2019-11-26T19:56:27Z  
dc.identifier.eissn
2211-8179  
dc.journal.volume
11  
dc.journal.number
1  
dc.journal.pagination
71-79.e4  
dc.journal.pais
Suiza  
dc.description.fil
Fil: Patel, Shivani A.. University of Emory; Estados Unidos. Centre For Control Of Chronic Conditions; India  
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Fil: Ali, Mohammed K.. University of Emory; Estados Unidos. Centre For Control Of Chronic Conditions; India  
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Fil: Alam, Dewan. University of York; Reino Unido. Li Ka Shing Knowledge Institute; Canadá  
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Fil: Yan, Lijing L.. Peking University; China. Duke Kunshan University; China  
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Fil: Levitt, Naomi S.. University Of Cape Town; Sudáfrica  
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Fil: Bernabe Ortiz, Antonio. Cronicas Centro de Excelencia En Enfermedades Crónicas; Perú  
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Fil: Checkley, William. University Johns Hopkins; Estados Unidos  
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Fil: Wu, Yangfeng. Peking University; China  
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Fil: Irazola, Vilma. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Efectividad Clínica y Sanitaria; Argentina  
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Fil: Gutierrez, Laura. Instituto de Efectividad Clínica y Sanitaria; Argentina  
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Fil: Rubinstein, Adolfo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Efectividad Clínica y Sanitaria; Argentina  
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Fil: Shivashankar, Roopa. Public Health Foundation of India; India  
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Fil: Li, Xian. Peking University; China  
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Fil: Miranda, J. Jaime. Cronicas Centro de Excelencia En Enfermedades Crónicas; Perú. Universidad Peruana Cayetano Heredia; Perú  
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Fil: Chowdhury, Muhammad Ashique Haider. International Centre For Diarrhoeal Disease Research Bangladesh; Bangladesh  
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Fil: Siddiquee, Ali Tanweer. International Centre For Diarrhoeal Disease Research Bangladesh; Bangladesh  
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Fil: Gaziano, Thomas A.. Harvard University. Harvard School of Public Health; Estados Unidos. Brigham And Women's Hospital; Estados Unidos  
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Fil: Kadir, M. Masood. The Aga Khan University; Pakistán  
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Fil: Prabhakaran, Dorairaj. Public Health Foundation of India; India  
dc.journal.title
Global Heart  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S2211816016000041  
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info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.gheart.2016.01.003