ArticleBMC medicine2022
Imaging-based body fat depots and new-onset atrial fibrillation in general population: a prospective cohort study.
Article in BMC medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 12 citations in OpenAlex.
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- Article
- Elucidating the Linkage Between Obesity-Related Body Fat Indicators and Atrial Fibrillation: Supported by Evidence From Mendelian Randomization and Mediation Analyses.Clinical cardiology · 2025Article
- Imaging-based body fat distribution and diabetic retinopathy in general US population with diabetes: an NHANES analysis (2003-2006 and 2011-2018).Nutrition & diabetes · 2024Article
- Association of Aldosterone, Renin, and Aldosterone to Renin Ratio with Metabolic Profile in Primary Aldosteronism.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024Article
- Body Fat Distribution and Female Infertility: a Cross-Sectional Analysis Among US Women.Reproductive sciences (Thousand Oaks, Calif.) · 2023Article
- The Correlation of Apolipoprotein B with Alterations in Specific Fat Depots Content in Adults.International journal of molecular sciences · 2023Article
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Authors and funding
11 authors at 2 institutions in 1 country.
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Abstract
backgroundObesity is a well-established risk factor for atrial fibrillation (AF). Whether body fat depots differentially associate with AF development remains unknown.
methodsIn the prospective population-based Rotterdam Study, body composition was assessed using dual-energy X-ray absorptiometry (DXA) and liver and epicardial fat using computed tomography (CT). A body composition score was constructed by adding tertile scores of each fat depot. Principal component analysis was conducted to identify potential body fat distribution patterns. Cox proportional hazards regression was used to calculate hazard ratios and 95% confidence intervals (HR; 95% CI) per 1-standard deviation increase in corresponding fat depots to enable comparisons.
resultsOver a median follow-up of 9.6 and 8.6 years, 395 (11.4%) and 172 (8.0%) AF cases were ascertained in the DXA and the CT analyses, respectively. After adjustments for cardiovascular risk factors, absolute fat mass (HR; 95% CI 1.33; 1.05-1.68), gynoid fat mass (HR; 95% CI 1.36; 1.12-1.65), epicardial fat mass (HR; 95% CI 1.27; 1.09-1.48), and android-to-gynoid fat ratio (HR; 95% CI 0.81; 0.70-0.94) were independently associated with new-onset AF. After further adjustment for lean mass, associations between fat mass (HR; 95% CI 1.17; 1.04-1.32), gynoid fat mass (HR; 95% CI 1.21; 1.08-1.37), and android-to-gynoid fat ratio (HR; 95% CI 0.84; 0.72-0.97) remained statistically significant. Larger body fat score was associated with a higher AF risk (HR; 95% CI 1.10; 1.02-1.20). Borderline significant association was found between a subcutaneous fat predominant pattern with AF onset (HR; 95% CI 1.21; 0.98-1.49).
conclusionsVarious body fat depots were associated with new-onset AF. Total fat mass and gynoid fat mass were independently associated with AF after adjustment for body size. The inverse association between android-to-gynoid fat ratio with AF presents a novel finding. A significant dose-response relationship between body fat accumulation and AF was observed. Our results underscore the predominant role of subcutaneous fat on AF development among a middle-aged and elderly population. Associations betw2een body fat depots, fat distribution and new-onset atrial fibrillation. ABBREVIATIONS: AF, atrial fibrillation.
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