Evidence map›Paper›PMID 33833943›Full record

ArticleGlobal heart2021

Adiposity Phenotypes and Subclinical Atherosclerosis in Adults from Sub-Saharan Africa: An H3Africa AWI-Gen Study.

Engelbert A Nonterah, Michiel L Bots, Abraham Oduro, Godfred Agongo, Cassandra C Soo, Lisa K Micklesfield, Felistas Mashinya, Palwendé R Boua, Shukri F Mohamed, Alisha N Wade and 9 more

Open access · goldAbstract read
In one paragraph

Article in Global heart, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 35% of its field
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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 at 9 institutions in 5 countries.

Engelbert A NonterahClinical Sciences Department, Navrongo Health Research Centre, Ghana Health Service, Navrongo, GH.
Michiel L BotsJulius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, NL.
Abraham OduroClinical Sciences Department, Navrongo Health Research Centre, Ghana Health Service, Navrongo, GH.
Godfred AgongoClinical Sciences Department, Navrongo Health Research Centre, Ghana Health Service, Navrongo, GH.
Cassandra C SooSydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, ZA.
Lisa K MicklesfieldSAMRC Developmental Pathways for Health Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, ZA.
Felistas MashinyaDikgale Health Demographic Surveillance Site, Department of Pathology and Medical Sciences, School of Health Care Sciences, Faculty of health Sciences, University of Limpopo, Polokwane, ZA.
Palwendé R BouaInstitut de Research en Sciences de la Santé, Clinical Research Unit of Nanoro, Nanoro, BF.
Shukri F MohamedAfrican Population and Health Research Centre (APHRC), Nairobi, KE.
Alisha N WadeSAMRC Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, ZA.
Catherine KyobutungiAfrican Population and Health Research Centre (APHRC), Nairobi, KE.
Halidou TintoInstitut de Research en Sciences de la Santé, Clinical Research Unit of Nanoro, Nanoro, BF.
Shane A NorrisSAMRC Developmental Pathways for Health Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, ZA.
Stephen M TollmanSAMRC Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, ZA.
Michèle RamsaySydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, ZA.
Diederick E GrobbeeJulius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, NL.
Kerstin Klipstein-GrobuschJulius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, NL.
Nigel J CrowtherDepartment of Chemical Pathology, National Health Laboratory Service, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, ZA.
AWI–Gen and the H3Africa Consortium
University of the Witwatersrand · ZAAfrican Population and Health Research Center · KENavrongo Health Research Centre · GHUniversity Medical Center Utrecht · NLAgincourt Health and Socio-Demographic Surveillance System · ZAGhana Health Service · GHPathways Behavioral Services · USSouth African Medical Research Council · ZAUniversity of Limpopo · ZA

Funding

Shared Core: Biobanking, Bioinformatics and Data ManagementU54HG006938 · NHGRI · WITS HEALTH CONSORTIUM (PTY), LTD · PI RAMSAY, MICHELE MICHELE · 2012 to 2022
$12.2M
Endocrine and metabolic diseases in rural South Africa-establishing burden and improving detectionK43TW010698 · FIC · WITS HEALTH CONSORTIUM (PTY), LTD · PI WADE, ALISHA NICOLE · 2017 to 2021
$581k
FIC NIH HHS K43 TW010698NHGRI NIH HHS U54 HG006938
6 · The paper itself

Abstract

Background: Obesity and adipose tissue distribution contribute to an increased risk of cardiovascular disease (CVD) by promoting atherosclerosis. This association has been poorly studied in sub-Saharan Africa (SSA) despite the rising prevalence of cardiovascular disease. Objectives: We determined the association between various adiposity phenotypes and carotid intima-media thickness (CIMT), a proxy of subclinical atherosclerosis, in a large SSA population. Methods: A population-based cross-sectional study was performed from 2013-2016 in Burkina Faso, Ghana, Kenya and South Africa. Body mass index (BMI), waist (WC), hip circumferences (HC), visceral (VAT) and subcutaneous adipose tissue (SCAT) using B-mode ultrasound were measured. Ultrasonography of left and right far wall CIMT of the common carotid artery was used as an indicator of subclinical atherosclerosis. Individual participant data meta-analyses were used to determine the associations between adiposity phenotypes and CIMT in the pooled sample while adjusted multivariable linear regression analyses were used for site specific analyses. Results: Data were obtained from 9,010 adults (50.3% women and a mean age of 50± 6years). Men had higher levels of visceral fat than women while women had higher BMI, waist and hip circumference and subcutaneous fat than men at all sites except Burkina Faso. In the pooled analyses, BMI (β-value [95% CIs]: 19.5 [16.8, 22.3] μm) showed the strongest relationship with CIMT followed by VAT (5.86 [4.65, 7.07] μm), SCAT (5.00 [2.85, 7.15] μm), WC (1.27 [1.09, 1.44] μm) and HC (1.23 [1.04, 1.42] μm). Stronger associations were observed in men than in women. Conclusion: Obesity within SSA will likely result in higher levels of atherosclerosis and promote the occurrence of cardio- and cerebrovascular events, especially in males, unless addressed through primary prevention of obesity in both rural and urban communities across Africa. The inverse association of VAT with CIMT in Burkina Faso and Ghana requires further investigation. Highlights: All adiposity phenotypes were positively associated with common carotid intima-media thickness (CIMT) in the entire cohort (pooled analyses).BMI had the strongest association with CIMT compared to other phenotypes.The magnitude of association between adiposity phenotypes and CIMT was higher in men than in women.Subcutaneous adipose tissue was inversely associated with CIMT only in women.An unexpected finding was the inverse association of visceral adipose tissue with CIMT in Burkina Faso and Ghana.

Indexed as

AdiposityAtherosclerosisAdultBody Mass IndexCarotid Intima-Media ThicknessCross-Sectional StudiesFemaleGhanaHumansMaleMiddle AgedObesityPhenotypeRisk Factorsadipositycardiovascular diseaseCarotid intima-media thicknessobesitysubclinical atherosclerosissub-Saharan Africa

Identifiers

PMID33833943
PMCPMC7977036
OpenAlexW3136739240

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.