Imaging-based body fat depots and new-onset atrial fibrillation in general population: a prospective cohort study
Abstract Background Obesity is a well-established risk factor for atrial fibrillation (AF). Whether body fat depots differentially associate with AF development remains unknown. Methods In the prospective population-based Rotterdam Study, body composition was assessed using dual-energy X-ray absorpt...
Main Authors: | , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2022-09-01
|
Series: | BMC Medicine |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12916-022-02505-y |
_version_ | 1818016746754277376 |
---|---|
author | Zuolin Lu Martijn J. Tilly Elif Aribas Daniel Bos Sven Geurts Bruno H. Stricker Robert de Knegt M. Arfan Ikram Natasja M. S. de Groot Trudy Voortman Maryam Kavousi |
author_facet | Zuolin Lu Martijn J. Tilly Elif Aribas Daniel Bos Sven Geurts Bruno H. Stricker Robert de Knegt M. Arfan Ikram Natasja M. S. de Groot Trudy Voortman Maryam Kavousi |
author_sort | Zuolin Lu |
collection | DOAJ |
description | Abstract Background Obesity is a well-established risk factor for atrial fibrillation (AF). Whether body fat depots differentially associate with AF development remains unknown. Methods In 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. Results Over 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). Conclusions Various 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. Graphical abstract Associations betw2een body fat depots, fat distribution and new-onset atrial fibrillation. Abbreviations: AF, atrial fibrillation. |
first_indexed | 2024-04-14T07:16:47Z |
format | Article |
id | doaj.art-82164a924da34f61808b6fe62fd713bf |
institution | Directory Open Access Journal |
issn | 1741-7015 |
language | English |
last_indexed | 2024-04-14T07:16:47Z |
publishDate | 2022-09-01 |
publisher | BMC |
record_format | Article |
series | BMC Medicine |
spelling | doaj.art-82164a924da34f61808b6fe62fd713bf2022-12-22T02:06:16ZengBMCBMC Medicine1741-70152022-09-0120111010.1186/s12916-022-02505-yImaging-based body fat depots and new-onset atrial fibrillation in general population: a prospective cohort studyZuolin Lu0Martijn J. Tilly1Elif Aribas2Daniel Bos3Sven Geurts4Bruno H. Stricker5Robert de Knegt6M. Arfan Ikram7Natasja M. S. de Groot8Trudy Voortman9Maryam Kavousi10Department of Epidemiology, Erasmus MC, office Na-2714, University Medical Centre RotterdamDepartment of Epidemiology, Erasmus MC, office Na-2714, University Medical Centre RotterdamDepartment of Epidemiology, Erasmus MC, office Na-2714, University Medical Centre RotterdamDepartment of Epidemiology, Erasmus MC, office Na-2714, University Medical Centre RotterdamDepartment of Epidemiology, Erasmus MC, office Na-2714, University Medical Centre RotterdamDepartment of Epidemiology, Erasmus MC, office Na-2714, University Medical Centre RotterdamDepartment of Gastroenterology & Hepatology, Erasmus MC, Erasmus University Medical Centre RotterdamDepartment of Epidemiology, Erasmus MC, office Na-2714, University Medical Centre RotterdamDepartment of Cardiology, Erasmus MC, Erasmus University Medical Centre RotterdamDepartment of Epidemiology, Erasmus MC, office Na-2714, University Medical Centre RotterdamDepartment of Epidemiology, Erasmus MC, office Na-2714, University Medical Centre RotterdamAbstract Background Obesity is a well-established risk factor for atrial fibrillation (AF). Whether body fat depots differentially associate with AF development remains unknown. Methods In 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. Results Over 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). Conclusions Various 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. Graphical abstract Associations betw2een body fat depots, fat distribution and new-onset atrial fibrillation. Abbreviations: AF, atrial fibrillation.https://doi.org/10.1186/s12916-022-02505-yAtrial fibrillationFat depotsDual-energy X-ray absorptiometryComputed tomography |
spellingShingle | Zuolin Lu Martijn J. Tilly Elif Aribas Daniel Bos Sven Geurts Bruno H. Stricker Robert de Knegt M. Arfan Ikram Natasja M. S. de Groot Trudy Voortman Maryam Kavousi Imaging-based body fat depots and new-onset atrial fibrillation in general population: a prospective cohort study BMC Medicine Atrial fibrillation Fat depots Dual-energy X-ray absorptiometry Computed tomography |
title | Imaging-based body fat depots and new-onset atrial fibrillation in general population: a prospective cohort study |
title_full | Imaging-based body fat depots and new-onset atrial fibrillation in general population: a prospective cohort study |
title_fullStr | Imaging-based body fat depots and new-onset atrial fibrillation in general population: a prospective cohort study |
title_full_unstemmed | Imaging-based body fat depots and new-onset atrial fibrillation in general population: a prospective cohort study |
title_short | Imaging-based body fat depots and new-onset atrial fibrillation in general population: a prospective cohort study |
title_sort | imaging based body fat depots and new onset atrial fibrillation in general population a prospective cohort study |
topic | Atrial fibrillation Fat depots Dual-energy X-ray absorptiometry Computed tomography |
url | https://doi.org/10.1186/s12916-022-02505-y |
work_keys_str_mv | AT zuolinlu imagingbasedbodyfatdepotsandnewonsetatrialfibrillationingeneralpopulationaprospectivecohortstudy AT martijnjtilly imagingbasedbodyfatdepotsandnewonsetatrialfibrillationingeneralpopulationaprospectivecohortstudy AT elifaribas imagingbasedbodyfatdepotsandnewonsetatrialfibrillationingeneralpopulationaprospectivecohortstudy AT danielbos imagingbasedbodyfatdepotsandnewonsetatrialfibrillationingeneralpopulationaprospectivecohortstudy AT svengeurts imagingbasedbodyfatdepotsandnewonsetatrialfibrillationingeneralpopulationaprospectivecohortstudy AT brunohstricker imagingbasedbodyfatdepotsandnewonsetatrialfibrillationingeneralpopulationaprospectivecohortstudy AT robertdeknegt imagingbasedbodyfatdepotsandnewonsetatrialfibrillationingeneralpopulationaprospectivecohortstudy AT marfanikram imagingbasedbodyfatdepotsandnewonsetatrialfibrillationingeneralpopulationaprospectivecohortstudy AT natasjamsdegroot imagingbasedbodyfatdepotsandnewonsetatrialfibrillationingeneralpopulationaprospectivecohortstudy AT trudyvoortman imagingbasedbodyfatdepotsandnewonsetatrialfibrillationingeneralpopulationaprospectivecohortstudy AT maryamkavousi imagingbasedbodyfatdepotsandnewonsetatrialfibrillationingeneralpopulationaprospectivecohortstudy |