Evidence map›Paper›PMID 25410499›Full record

ArticleHeart (British Cardiac Society)2015

Obesity related risk of sudden cardiac death in the atherosclerosis risk in communities study.

Selcuk Adabag, Rachel R Huxley, Faye L Lopez, Lin Y Chen, Nona Sotoodehnia, David Siscovick, Rajat Deo, Suma Konety, Alvaro Alonso, Aaron R Folsom

Open access · bronzeAbstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Heart (British Cardiac Society), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 2 pooled it
12.7field-weighted citation impact, top 1% 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

63 citing papers in PubMed, 2 syntheses or guidelines pooled it, 140 citations in OpenAlex.

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  12. A Temporal Comparison of 50 Years of Australian Scuba Diving Fatalities.International journal of environmental research and public health · 2025
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3 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 2 countries.

Selcuk AdabagDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA Division of Cardiology, Veterans Administration Medical Center, Minneapolis, Minnesota, USA.
Rachel R HuxleyDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA School of Population Health, University of Queensland, Brisbane, Queensland, Australia.
Faye L LopezDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.
Lin Y ChenCardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, USA.
Nona SotoodehniaCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, USA Division of Cardiology, Department of Medicine, University of Washington, Seattle, Washington, USA.
David SiscovickCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, USA Department of Epidemiology, University of Washington, Seattle, Washington, USA.
Rajat DeoDivision of Cardiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Suma KonetyCardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, USA.
Alvaro AlonsoDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.ORCID http://orcid.org/0000-0002-2225-8323
Aaron R FolsomDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.
University of Minnesota · USUniversity of Minnesota Medical Center · USUniversity of Washington · USUniversity of Pennsylvania · US

Funding

COMMUNITY AND COHORT SURVEILLANCE PROGRAMS-N01HC55015N01HC055015 · HC · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI CHAMBLESS, LLOYD E · 1985 to 2006
$1.1M
Epidemiologic Study of Risk Factors and Biomarkers of Atrial FibrillationRC1HL099452 · NHLBI · UNIVERSITY OF MINNESOTA · PI ALONSO, ALVARO · 2009 to 2010
$897k
FIELD CENTER FOR CCSPN01HC055019 · HC · UNIVERSITY OF MINNESOTA TWIN CITIES · PI FOLSOM, AARON R · 1985 to 2000
$748k
NHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100005GNHLBI NIH HHS HHSN268201100005INHLBI NIH HHS HHSN268201100006CNHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100007INHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100008INHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201100009INHLBI NIH HHS HHSN268201100010CNHLBI NIH HHS HHSN268201100011CNHLBI NIH HHS HHSN268201100011INHLBI NIH HHS HHSN268201100012CNHLBI NIH HHS N01 HC055015NHLBI NIH HHS RC1 HL099452
6 · The paper itself

Abstract

objectiveTo examine the association of body mass index (BMI), waist circumference (WC) and waist hip ratio (WHR) with sudden cardiac death (SCD) in community dwelling individuals.

methodsData from a multicentre, prospective, cohort study of 14 941 men and women (African American, and white), aged 45-64 years, participating in the Atherosclerosis Risk in Communities study was analysed. Obesity measures were assessed at baseline (1987-1989). SCD was adjudicated by a committee.

resultsAt enrolment mean±SD age of the participants was 54±6 years (55% female; 26% African American). During 12.6±2.5 years of follow-up, 253 SCD occurred (incidence rate 1.34/100 person-years). The association between obesity and SCD differed by smoking status (interaction p≤0.01). In models adjusting for age, sex, race, study centre and education level, SCD risk was positively associated (p<0.001) with BMI, WC and WHR in non-smokers, but not in smokers. WHR was more strongly associated with SCD in non-smokers than was BMI or WC (HR per SD increment (95% CI) 2.00 (1.65 to 2.42); 1.34 (1.15 to 1.56) and 1.49 (1.28 to 1.74), respectively). After adjustment for potential mediators (hypertension, diabetes, lipid profile, prevalent coronary heart disease, heart failure, and LV hypertrophy), non-smokers in the highest WHR category (>0.95 in women; >1.01 in men) had double the risk of SCD (HR 2.03, 95% CI 1.19 to 3.46; incidence rate 1.43/1000 person-years) versus those with normal WHR.

conclusionsGeneral obesity is associated with increased risk of SCD in middle-aged, non-smoking individuals, mediated by traditional cardiovascular risk factors. Central obesity, however, is independently associated with SCD by pathways that remain to be elucidated.

Indexed as

AtherosclerosisBody Mass IndexDeath, Sudden, CardiacFemaleFollow-Up StudiesHumansMaleMiddle AgedObesityPrevalenceProspective StudiesRisk AssessmentRisk FactorsSurvival RateUnited States

Identifiers

PMID25410499
PMCPMC4791977
OpenAlexW2147967059

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.