Evidence map›Paper›PMID 24907285›Full record

ArticleCirculation. Arrhythmia and electrophysiology2014

Physical activity, obesity, weight change, and risk of atrial fibrillation: the Atherosclerosis Risk in Communities study.

Rachel R Huxley, Jeffrey R Misialek, Sunil K Agarwal, Laura R Loehr, Elsayed Z Soliman, Lin Y Chen, Alvaro Alonso

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

Article in Circulation. Arrhythmia and electrophysiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 10 pooled it
8.9field-weighted citation impact, top 2% 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

70 citing papers in PubMed, 10 syntheses or guidelines pooled it, 162 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Pooled it
  11. Trial
  12. Trial
  13. Review
  14. Article
  15. Article
  16. Extreme Heat and Arrhythmia in Patients With Implanted Devices.Journal of the American Heart Association · 2025
    Article
  17. Article
  18. Observational
  19. Article
  20. Article

10 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

7 authors at 2 institutions in 2 countries.

Rachel R HuxleyFrom the School of Population Health, University of Queensland, Brisbane, Queensland, Australia (R.R.H.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (J.R.M., A.A.); Johns Hopkins University, Baltimore, MD (S.K.A., L.R.L.); Department of Epidemiology and Prevention, Epidemiological Cardiology Research Center, Wake Forest University School of Medicine, Winston Salem, NC (E.Z.S.); and Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis (L.Y.C.). r.huxley@uq.edu.au.
Jeffrey R MisialekFrom the School of Population Health, University of Queensland, Brisbane, Queensland, Australia (R.R.H.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (J.R.M., A.A.); Johns Hopkins University, Baltimore, MD (S.K.A., L.R.L.); Department of Epidemiology and Prevention, Epidemiological Cardiology Research Center, Wake Forest University School of Medicine, Winston Salem, NC (E.Z.S.); and Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis (L.Y.C.).
Sunil K AgarwalFrom the School of Population Health, University of Queensland, Brisbane, Queensland, Australia (R.R.H.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (J.R.M., A.A.); Johns Hopkins University, Baltimore, MD (S.K.A., L.R.L.); Department of Epidemiology and Prevention, Epidemiological Cardiology Research Center, Wake Forest University School of Medicine, Winston Salem, NC (E.Z.S.); and Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis (L.Y.C.).
Laura R LoehrFrom the School of Population Health, University of Queensland, Brisbane, Queensland, Australia (R.R.H.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (J.R.M., A.A.); Johns Hopkins University, Baltimore, MD (S.K.A., L.R.L.); Department of Epidemiology and Prevention, Epidemiological Cardiology Research Center, Wake Forest University School of Medicine, Winston Salem, NC (E.Z.S.); and Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis (L.Y.C.).
Elsayed Z SolimanFrom the School of Population Health, University of Queensland, Brisbane, Queensland, Australia (R.R.H.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (J.R.M., A.A.); Johns Hopkins University, Baltimore, MD (S.K.A., L.R.L.); Department of Epidemiology and Prevention, Epidemiological Cardiology Research Center, Wake Forest University School of Medicine, Winston Salem, NC (E.Z.S.); and Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis (L.Y.C.).
Lin Y ChenFrom the School of Population Health, University of Queensland, Brisbane, Queensland, Australia (R.R.H.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (J.R.M., A.A.); Johns Hopkins University, Baltimore, MD (S.K.A., L.R.L.); Department of Epidemiology and Prevention, Epidemiological Cardiology Research Center, Wake Forest University School of Medicine, Winston Salem, NC (E.Z.S.); and Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis (L.Y.C.).
Alvaro AlonsoFrom the School of Population Health, University of Queensland, Brisbane, Queensland, Australia (R.R.H.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (J.R.M., A.A.); Johns Hopkins University, Baltimore, MD (S.K.A., L.R.L.); Department of Epidemiology and Prevention, Epidemiological Cardiology Research Center, Wake Forest University School of Medicine, Winston Salem, NC (E.Z.S.); and Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis (L.Y.C.).
University of Minnesota Medical Center · USUniversity of Queensland · AU

Funding

Epidemiologic Study of Risk Factors and Biomarkers of Atrial FibrillationRC1HL099452 · NHLBI · UNIVERSITY OF MINNESOTA · PI ALONSO, ALVARO · 2009 to 2010
$897k
NHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100006CNHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201100010CNHLBI NIH HHS HHSN268201100011CNHLBI NIH HHS HHSN268201100012CNHLBI NIH HHS RC1 HL099452NHLBI NIH HHS RC1HL099452
6 · The paper itself

Abstract

backgroundPhysical activity (PA) has previously been suggested to attenuate the risk of atrial fibrillation (AF) conferred by excess body weight and weight gain. We prospectively examined the relationship between body size, weight change, and level of PA in a biracial cohort of middle-aged men and women. METHODS AND

resultsBaseline characteristics on risk factor levels were obtained on 14 219 participants from the Atherosclerosis Risk in Communities Study. AF incidence was ascertained from 1987 to 2009. Adjusted Cox proportional hazards models were used to estimate the associations between body mass index, waist circumference, relative weight change, and PA level with incident AF. During follow-up, there were 1775 cases of incident AF. Body mass index and waist circumference were positively associated with AF as was weight loss/gain of >5% initial body weight. An ideal level of PA had a small protective effect on AF risk and partially attenuated the risk of AF associated with excess weight in men but not women: compared with men with a normal body mass index, the risk of AF in obese men with an ideal, intermediate, and poor level of PA at baseline was increased by 37%, 129%, and 156% (Pinteraction=0.04). During follow-up, PA did not modify the association between weight gain and risk of AF.

conclusionsObesity and extreme weight change are risk factors for incident AF, whereas being physically active is associated with a small reduction in risk. In men only, being physically active offset some, but not all, of the risk incurred with excess body weight.

Indexed as

Motor ActivityWeight GainWeight LossAtrial FibrillationBody Mass IndexFemaleHumansIncidenceMaleMiddle AgedObesityPrognosisProportional Hazards ModelsProspective StudiesRisk AssessmentRisk Factorsatrial fibrillationmotor activityobesity

Identifiers

PMID24907285
PMCPMC4230341
OpenAlexW1971480646

What OpenQuestion holds

Textmetadata
LicenceTDM
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.