Evidence map›Paper›PMID 32183704›Full record

ArticleBMC cardiovascular disorders2020

The association between anthropometric measures of adiposity and the progression of carotid atherosclerosis.

Yume Imahori, Ellisiv B Mathiesen, Katy E Morgan, Chris Frost, Alun D Hughes, Laila A Hopstock, Stein Harald Johnsen, Nina Emaus, David A Leon

Open access · goldAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

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  8. Exercise Training: The Holistic Approach in Cardiovascular Prevention.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2021
    Review
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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

9 authors at 3 institutions in 2 countries.

Yume ImahoriDepartment of Non-communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK. yumeim0405@gmail.com.
Ellisiv B MathiesenDepartment of Clinical Medicine, UiT The Arctic University of Norway, Tromsø and Department of Neurology, University Hospital of North Norway, 9037, Tromsø, Norway.
Katy E MorganDepartment of Medical Statistics, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK.
Chris FrostDepartment of Medical Statistics, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK.
Alun D HughesDepartment of Population Science & Experimental Medicine, & MRC Unit for Lifelong Health and Ageing, University College London, London, WC1E 6BT, UK.
Laila A HopstockDepartment of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, 9037, Tromsø, Norway.
Stein Harald JohnsenDepartment of Clinical Medicine, UiT The Arctic University of Norway, Tromsø and Department of Neurology, University Hospital of North Norway, 9037, Tromsø, Norway.
Nina EmausDepartment of Health and Care Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, 9037, Tromsø, Norway.
David A LeonDepartment of Non-communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
UiT The Arctic University of Norway · NOLondon School of Hygiene & Tropical Medicine · GBUniversity College London · GB

Funding

Medical Research Council MR/P014372/1Wellcome TrustWellcome Trust (GB) 100217
6 · The paper itself

Abstract

backgroundFew reports are available on the contribution of general and abdominal obesity to the progression of carotid atherosclerosis in late adulthood. This study investigated the impact of four simple anthropometric measures of general and abdominal obesity on the progression of carotid atherosclerosis and the extent to which the association between adiposity and the progression of plaque burden is mediated by cardiometabolic markers.

methodsFour thousand three hundred forty-five adults (median age 60) from the population-based Tromsø Study were followed over 7 years from the first carotid ultrasound screening to the next. The progression of carotid atherosclerosis was measured in three ways: incidence of plaques in previously plaque-free participants; change in the number of plaques; and total plaque area (TPA). We used generalised linear models to investigate the association between each adiposity measure - body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) - and each outcome. Models were adjusted for potential confounders (age, sex, smoking, education, physical activity). The pathways through which any associations observed might operate were investigated by further adjusting for cardiometabolic mediators (systolic blood pressure, cholesterol, and HbA1c).

resultsThere was little evidence that adiposity was related to the formation of new plaques during follow-up. However, abdominal adiposity was associated with TPA progression. WHtR showed the largest effect size (mean change in TPA per one standard deviation (SD) increase in WHtR of 0.665 mm

conclusionsAbdominal obesity indirectly measured with WC seems more strongly associated with the progression of TPA than general obesity. These associations appear to be largely mediated by known cardiometabolic markers.

Indexed as

AdiposityPlaque, AtheroscleroticAbdominal FatAgedBody Mass IndexCarotid Artery DiseasesCarotid Intima-Media ThicknessDisease ProgressionFemaleHumansIncidenceMaleMiddle AgedNorwayObesity, AbdominalProspective StudiesAbdominal obesityAtherosclerosisCarotid plaqueEpidemiologyObesity

Identifiers

PMID32183704
PMCPMC7079386
OpenAlexW3010722259

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.