Evidence map›Paper›PMID 34922449›Full record

Observational studyBMC cardiovascular disorders2021

Anthropometric measures and the risk of developing atrial fibrillation: a Swedish Cohort Study.

Isac Zia, Linda Johnson, Ensieh Memarian, Yan Borné, Gunnar Engström

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC cardiovascular disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Incidence of clinical atrial fibrillation and related complications using a screening algorithm at a nationwide level.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023
    Article
  8. Article
  9. How to use digital devices to detect and manage arrhythmias: an EHRA practical guide.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2022
    Article
  10. 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

5 authors at 1 institution in 1 country.

Isac ZiaDepartment of Clinical Sciences, IKVM, Lund's University, Jan Waldenströms gata 35, CRC, House 60, 13th Floor, 205 02, Malmö, Sweden. isac.zia@gmail.com.
Linda JohnsonDepartment of Clinical Sciences, IKVM, Lund's University, Jan Waldenströms gata 35, CRC, House 60, 13th Floor, 205 02, Malmö, Sweden.
Ensieh MemarianDepartment of Clinical Sciences, IKVM, Lund's University, Jan Waldenströms gata 35, CRC, House 60, 13th Floor, 205 02, Malmö, Sweden.
Yan BornéDepartment of Clinical Sciences, IKVM, Lund's University, Jan Waldenströms gata 35, CRC, House 60, 13th Floor, 205 02, Malmö, Sweden.
Gunnar EngströmDepartment of Clinical Sciences, IKVM, Lund's University, Jan Waldenströms gata 35, CRC, House 60, 13th Floor, 205 02, Malmö, Sweden. Gunnar.Engstrom@med.lu.se.
Lund University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsObesity is a risk factor for several cardiovascular diseases (CVDs), including atrial fibrillation (AF). However, it is less clear whether overall fat or abdominal fat distribution are most important for risk of developing AF. This study investigates how different anthropometric measures correlate to the risk of developing clinical AF in the Malmö Diet and Cancer cohort (MDC-cohort).

methodsThe MDC-cohort (n = 25,961) was examined in 1991-1996. The endpoint was clinical AF diagnosed in a hospital setting, and retrieved via linkage with national registers. Hazard Ratios (HR) for incident AF was calculated in relation to quartiles of body mass index (BMI), waist circumference, waist hip ratio, waist height ratio, body fat percentage, weight and height, using Cox regression with adjustment for age, biological (e.g. blood pressure, diabetes, blood lipid levels), and socioeconomic risk factors.

resultsAfter adjustment for multiple risk factors, the risk of AF was significantly increased in the 4th versus 1st quartile of weight (HR for men/women = 2.02/1.93), BMI (HR = 1.62/1.52), waist circumference (HR = 1.67/1.63), waist to hip ratio (HR = 1.30/1.24), waist to height ratio (1.37/1.39) and body fat percentage (HR = 1.21/1.45) in men/women. Measures of overall weight (BMI, weight) were slightly more predictive than measures of abdominal obesity (waist hip ratio and waist height ratio) both in men and women.

conclusionAll measures of obesity were associated with increased risk of developing AF. Both overall obesity and abdominal obesity were related to incidence of AF in this population-based study, although the relationship for overall obesity was stronger.

Indexed as

AnthropometryAgedAtrial FibrillationFemaleHumansIncidenceMaleMiddle AgedObesityObesity, AbdominalPredictive Value of TestsRegistriesRisk AssessmentRisk FactorsSwedenAnthropometric measuresAtrial fibrillationBMIHazards ratioObesity

Identifiers

PMID34922449
PMCPMC8684176
OpenAlexW4200447133

What OpenQuestion holds

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LicenceCC BY
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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.