Evidence map›Paper›PMID 27102024›Full record

ArticleGlobal heart2016

Obesity and its Relation With Diabetes and Hypertension: A Cross-Sectional Study Across 4 Geographical Regions.

Shivani A Patel, Mohammed K Ali, Dewan Alam, Lijing L Yan, Naomi S Levitt, Antonio Bernabe-Ortiz, William Checkley, Yangfeng Wu, Vilma Irazola, Laura Gutierrez and 9 more

Abstract read
In one paragraph

Article in Global heart, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

63 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  8. Comorbidity patterns and health-related quality of life in a cohort of Australian women cancer survivors.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
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3 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Shivani A PatelHubert Department of Global Health, Emory University, Atlanta, GA, USA, and the Centre for Control of Chronic Conditions, New Delhi, India. Electronic address: s.a.patel@emory.edu.
Mohammed K AliHubert Department of Global Health, Emory University, Atlanta, GA, USA, and the Centre for Control of Chronic Conditions, New Delhi, India.
Dewan AlamCentre for Global Health Research, Li Ka Shing Knowledge Institute, Toronto, Ontario, Canada, and Faculty of Health Sciences, York University, Toronto, Ontario, Canada.
Lijing L YanThe George Institute for Global Health at Peking University Health Science Center, Beijing, China; Duke Global Health Institute, and Global Health Research Center, Duke Kunshan University, Kunshan, China.
Naomi S LevittChronic Disease Initiative for Africa (CDIA), University of Cape Town, Cape Town, South Africa; Division of Diabetic Medicine and Endocrinology, University of Cape Town, Cape Town, South Africa.
Antonio Bernabe-OrtizCRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru.
William CheckleyDivision of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Yangfeng WuThe George Institute for Global Health at Peking University Health Science Center, Beijing, China; Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing, China.
Vilma IrazolaSouth American Center of Excellence for Cardiovascular Health (CESCAS), Institute for Clinical Effectiveness and Health Policy (IECS) Buenos Aires, Argentina.
Laura GutierrezSouth American Center of Excellence for Cardiovascular Health (CESCAS), Institute for Clinical Effectiveness and Health Policy (IECS) Buenos Aires, Argentina.
Adolfo RubinsteinSouth American Center of Excellence for Cardiovascular Health (CESCAS), Institute for Clinical Effectiveness and Health Policy (IECS) Buenos Aires, Argentina.
Roopa ShivashankarPublic Health Foundation of India (PHFI), the Centre for Chronic Disease Control, and the Centre for Control of Chronic Conditions, New Delhi, India.
Xian LiThe George Institute for Global Health at Peking University Health Science Center, Beijing, China.
J Jaime MirandaCRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru; Department of Medicine, School of Medicine, Universidad Peruana Cayetano Heredia, Lima, Peru.
Muhammad Ashique Haider ChowdhuryChronic Non-Communicable Disease Unit (CNCDU), Center for Equity and Health Systems (CEHS), ICDDR, Dhaka, Bangladesh.
Ali Tanweer SiddiqueeChronic Non-Communicable Disease Unit (CNCDU), Center for Equity and Health Systems (CEHS), ICDDR, Dhaka, Bangladesh.
Thomas A GazianoBrigham & Women's Hospital, Harvard School of Public Health, Harvard University, Cambridge, MA, USA; Division of Cardiovascular Medicine Brigham & Women's Hospital, Boston, MA, USA.
M Masood KadirDepartment of Community Health Sciences, The Aga Khan University, Karachi, Pakistan.
Dorairaj PrabhakaranPublic Health Foundation of India (PHFI), the Centre for Chronic Disease Control, and the Centre for Control of Chronic Conditions, New Delhi, India.

Funding

Interdisciplinary research training: NCD epidemiology and prevention in IndiaD43HD065249 · NICHD · CENTRE FOR CHRONIC DISEASE CONTROL · PI NARAYAN, KABAYAM M VENKAT, TANDON, NIKHIL · 2009 to 2013
$1.2M
Medical Research Council MR/M007405/1NHLBI NIH HHS HHSN268200900026CNHLBI NIH HHS HHSN268200900027CNHLBI NIH HHS HHSN268200900029CNHLBI NIH HHS HHSN268200900032CNHLBI NIH HHS HHSN268200900033CNICHD NIH HHS D43 HD065249Wellcome Trust 103994/Z/14/Z
6 · The paper itself

Abstract

backgroundThe 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.

objectiveWe 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.

methodsUsing 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.

resultsThis 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.

conclusionsBMI 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.

Indexed as

AdultAgedArgentinaBangladeshBody Mass IndexChileChinaCohort StudiesCross-Sectional StudiesDiabetes MellitusFemaleHumansHypertensionIndiaMaleMiddle Aged

Identifiers

PMID27102024
PMCPMC4843822

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.