Obesity and its Relation With Diabetes and Hypertension: A Cross-Sectional Study Across 4 Geographical Regions
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. We assessed general and central obesity in Africa, East Asia, South America, and S...
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| Veröffentlicht in: | Global heart 2016-03, Vol.11 (1), p.71-79.e4 |
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| creator | Patel, Shivani A Ali, Mohammed K Alam, Dewan Yan, Lijing L Levitt, Naomi S Bernabe-Ortiz, Antonio Checkley, William Wu, Yangfeng Irazola, Vilma Gutierrez, Laura Rubinstein, Adolfo Shivashankar, Roopa Li, Xian Miranda, J Jaime Chowdhury, Muhammad Ashique Haider Siddiquee, Ali Tanweer Gaziano, Thomas A Kadir, M Masood Prabhakaran, Dorairaj |
| description | 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.
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.
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.
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.
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. |
| doi_str_mv | 10.1016/j.gheart.2016.01.003 |
| format | Article |
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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.
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.
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.
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.</description><identifier>ISSN: 2211-8160</identifier><identifier>EISSN: 2211-8179</identifier><identifier>DOI: 10.1016/j.gheart.2016.01.003</identifier><identifier>PMID: 27102024</identifier><language>eng</language><publisher>England: Ubiquity Press</publisher><subject>Adult ; Aged ; Argentina - epidemiology ; Bangladesh - epidemiology ; Body Mass Index ; Cardiovascular system ; Chile - epidemiology ; China - epidemiology ; Cohort Studies ; Cross-Sectional Studies ; Diabetes Mellitus - epidemiology ; Female ; Humans ; Hypertension ; Hypertension - epidemiology ; India - epidemiology ; Male ; Middle Aged ; Minority & ethnic groups ; Obesity ; Obesity - epidemiology ; Obesity, Abdominal - epidemiology ; Pakistan - epidemiology ; Peru - epidemiology ; Prevalence ; Regression analysis ; South Africa - epidemiology ; Uruguay - epidemiology ; Waist Circumference ; Young Adult</subject><ispartof>Global heart, 2016-03, Vol.11 (1), p.71-79.e4</ispartof><rights>Copyright © 2016 World Heart Federation (Geneva). Published by Elsevier B.V. All rights reserved.</rights><rights>Copyright Elsevier BV Mar 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c381t-91c6a9594568ba84ba88bb5906172b0f35311881d60af0f243a5b84c7a770b533</citedby><cites>FETCH-LOGICAL-c381t-91c6a9594568ba84ba88bb5906172b0f35311881d60af0f243a5b84c7a770b533</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27102024$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Patel, Shivani A</creatorcontrib><creatorcontrib>Ali, Mohammed K</creatorcontrib><creatorcontrib>Alam, Dewan</creatorcontrib><creatorcontrib>Yan, Lijing L</creatorcontrib><creatorcontrib>Levitt, Naomi S</creatorcontrib><creatorcontrib>Bernabe-Ortiz, Antonio</creatorcontrib><creatorcontrib>Checkley, William</creatorcontrib><creatorcontrib>Wu, Yangfeng</creatorcontrib><creatorcontrib>Irazola, Vilma</creatorcontrib><creatorcontrib>Gutierrez, Laura</creatorcontrib><creatorcontrib>Rubinstein, Adolfo</creatorcontrib><creatorcontrib>Shivashankar, Roopa</creatorcontrib><creatorcontrib>Li, Xian</creatorcontrib><creatorcontrib>Miranda, J Jaime</creatorcontrib><creatorcontrib>Chowdhury, Muhammad Ashique Haider</creatorcontrib><creatorcontrib>Siddiquee, Ali Tanweer</creatorcontrib><creatorcontrib>Gaziano, Thomas A</creatorcontrib><creatorcontrib>Kadir, M Masood</creatorcontrib><creatorcontrib>Prabhakaran, Dorairaj</creatorcontrib><title>Obesity and its Relation With Diabetes and Hypertension: A Cross-Sectional Study Across 4 Geographical Regions</title><title>Global heart</title><addtitle>Glob Heart</addtitle><description>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.
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.
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.
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.
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.</description><subject>Adult</subject><subject>Aged</subject><subject>Argentina - epidemiology</subject><subject>Bangladesh - epidemiology</subject><subject>Body Mass Index</subject><subject>Cardiovascular system</subject><subject>Chile - epidemiology</subject><subject>China - epidemiology</subject><subject>Cohort Studies</subject><subject>Cross-Sectional Studies</subject><subject>Diabetes Mellitus - epidemiology</subject><subject>Female</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Hypertension - epidemiology</subject><subject>India - epidemiology</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Minority & ethnic groups</subject><subject>Obesity</subject><subject>Obesity - epidemiology</subject><subject>Obesity, Abdominal - epidemiology</subject><subject>Pakistan - epidemiology</subject><subject>Peru - epidemiology</subject><subject>Prevalence</subject><subject>Regression analysis</subject><subject>South Africa - epidemiology</subject><subject>Uruguay - epidemiology</subject><subject>Waist Circumference</subject><subject>Young Adult</subject><issn>2211-8160</issn><issn>2211-8179</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkV1LwzAUhoMoKrp_IBLwxpvWnCRtU-_G1CkIg03xMiRturV07UzSi_17U6deGAj5eJ9z4PAgdAUkBgLpXROvN0ZZH9PwignEhLAjdE4pQCQgy4__7ik5QxPnGhJWkkLO6Sk6oxkQSig_R91CG1f7PVZdiWvv8NK0ytd9hz9qv8EPtdLGG_cdP-93xnrTuRDf4yme2d65aGWKkVctXvmh3ONpMX5jjuemX1u129RFyJZmHSB3iU4q1Toz-Tkv0PvT49vsOXpdzF9m09eoYAJ8lEORqjzJeZIKrQQPW2id5CSFjGpSsYQBCAFlSlRFKsqZSrTgRaayjOiEsQt0e-i7s_3nYJyX29oVpm1VZ_rBScgEy0FQBgG9-Yc2_WDDPCOVA0vSjI8UP1Df01lTyZ2tt8ruJRA5KpGNPCiRoxJJQAYloez6p_mgt6b8K_oVwL4ABDCHRQ</recordid><startdate>201603</startdate><enddate>201603</enddate><creator>Patel, Shivani A</creator><creator>Ali, Mohammed K</creator><creator>Alam, Dewan</creator><creator>Yan, Lijing L</creator><creator>Levitt, Naomi S</creator><creator>Bernabe-Ortiz, Antonio</creator><creator>Checkley, William</creator><creator>Wu, Yangfeng</creator><creator>Irazola, Vilma</creator><creator>Gutierrez, Laura</creator><creator>Rubinstein, Adolfo</creator><creator>Shivashankar, Roopa</creator><creator>Li, Xian</creator><creator>Miranda, J Jaime</creator><creator>Chowdhury, Muhammad Ashique Haider</creator><creator>Siddiquee, Ali Tanweer</creator><creator>Gaziano, Thomas A</creator><creator>Kadir, M Masood</creator><creator>Prabhakaran, Dorairaj</creator><general>Ubiquity Press</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>201603</creationdate><title>Obesity and its Relation With Diabetes and Hypertension: A Cross-Sectional Study Across 4 Geographical Regions</title><author>Patel, Shivani A ; 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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.
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.
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.
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.</abstract><cop>England</cop><pub>Ubiquity Press</pub><pmid>27102024</pmid><doi>10.1016/j.gheart.2016.01.003</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Adult Aged Argentina - epidemiology Bangladesh - epidemiology Body Mass Index Cardiovascular system Chile - epidemiology China - epidemiology Cohort Studies Cross-Sectional Studies Diabetes Mellitus - epidemiology Female Humans Hypertension Hypertension - epidemiology India - epidemiology Male Middle Aged Minority & ethnic groups Obesity Obesity - epidemiology Obesity, Abdominal - epidemiology Pakistan - epidemiology Peru - epidemiology Prevalence Regression analysis South Africa - epidemiology Uruguay - epidemiology Waist Circumference Young Adult |
| title | Obesity and its Relation With Diabetes and Hypertension: A Cross-Sectional Study Across 4 Geographical Regions |
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