Literature DB >> 30711120

Body Mass Index Variability and Long-term Risk of New-Onset Atrial Fibrillation in the General Population: A Korean Nationwide Cohort Study.

Yeong-Min Lim1, Pil-Sung Yang2, Eunsun Jang3, Hee Tae Yu3, Tae-Hoon Kim3, Jae-Sun Uhm3, Jong-Youn Kim3, Hui-Nam Pak3, Moon-Hyoung Lee3, Boyoung Joung4, Gregory Y H Lip5.   

Abstract

OBJECTIVE: To assess the effects of body mass index (BMI) variability on the incidence of new-onset atrial fibrillation (AF), stroke, cardiovascular (CV) risk factors, and CV outcomes in a general Asian population. PATIENTS AND METHODS: Data from the National Health Insurance Service-Health Screening cohort in Korea were used: 171,324 patients without AF were included, and BMI measurements occurred biennially from January 1, 2002, through December 31, 2009. Patient outcomes were followed through 2013. The BMI intraindividual variability between visits was measured.
RESULTS: During mean ± SD follow-up of 47.4±3.9 months, 1959 patients (1.1%) developed new-onset AF. Overweight or obesity (BMI ≥25) had a greater risk of new-onset AF compared with BMI of 20 to 22.5, with a hazard ratio (HR) of 1.24 (95% CI, 1.10-1.41; P<.001). In underweight or normal-weight participants (initial BMI <25), a 1-kg/m2 increase of BMI variability increased the risk of new-onset AF, with an adjusted HR (aHR) of 1.13 (95% CI, 1.01-1.25; P=.02). Weight gain increased the risk of new-onset AF (aHR, 1.32; 95% CI, 1.01-1.71; P=.04) and myocardial infarction (aHR, 1.52; 95% CI, 1.06-2.18; P=.02) but not stroke. In this group, blood pressure, glucose level, and total cholesterol level were higher in individuals with the greatest BMI variability compared with those with stable BMI.
CONCLUSION: In the underweight and normal-weight Asian population, BMI variability, especially weight gain, was related to increased risk of new-onset AF and myocardial infarction. Avoiding weight gain is important to improve CV outcomes.
Copyright © 2018 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.

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Year:  2019        PMID: 30711120     DOI: 10.1016/j.mayocp.2018.10.019

Source DB:  PubMed          Journal:  Mayo Clin Proc        ISSN: 0025-6196            Impact factor:   7.616


  11 in total

1.  Elevated levels of body mass index and waist circumference, but not high variability, are associated with an increased risk of atrial fibrillation.

Authors:  Maoxiang Zhao; Lulu Song; Qianqian Zhao; Yating Chen; Bin Li; Zhonghui Xie; Zihao Fu; Nan Zhang; Xiaowei Cheng; Xiaoqian Li; Miao Wang; Shouling Wu; Hao Xue; Yang Li
Journal:  BMC Med       Date:  2022-06-29       Impact factor: 11.150

2.  Predictors of change in BMI over 10 years among midlife and older adults: Associations with gender, CVD risk status, depressive symptoms, and social support.

Authors:  Danielle Arigo; M Cole Ainsworth; Kristen Pasko; Megan M Brown; Laura Travers
Journal:  Soc Sci Med       Date:  2021-05-06       Impact factor: 5.379

3.  Visit-to-Visit Variability of Lipids Measurements and the Risk of Stroke and Stroke Types: A Prospective Cohort Study.

Authors:  Anxin Wang; Haibin Li; Jinhuan Yuan; Yingting Zuo; Yijun Zhang; Shouhua Chen; Shouling Wu; Yongjun Wang
Journal:  J Stroke       Date:  2020-01-31       Impact factor: 6.967

4.  Visit-to-visit variability of serum uric acid measurements and the risk of all-cause mortality in the general population.

Authors:  Xue Tian; Anxin Wang; Yingting Zuo; Shuohua Chen; Licheng Zhang; Shouling Wu; Yanxia Luo
Journal:  Arthritis Res Ther       Date:  2021-03-04       Impact factor: 5.156

Review 5.  Prevention of Dementia in Patients with Atrial Fibrillation.

Authors:  Daehoon Kim; Pil Sung Yang; Boyoung Joung
Journal:  Korean Circ J       Date:  2021-04       Impact factor: 3.243

6.  2021 Focused Update Consensus Guidelines of the Asia Pacific Heart Rhythm Society on Stroke Prevention in Atrial Fibrillation: Executive Summary.

Authors:  Tze-Fan Chao; Boyoung Joung; Yoshihide Takahashi; Toon Wei Lim; Eue-Keun Choi; Yi-Hsin Chan; Yutao Guo; Charn Sriratanasathavorn; Seil Oh; Ken Okumura; Gregory Y H Lip
Journal:  Thromb Haemost       Date:  2021-11-13       Impact factor: 5.249

7.  Independent effect of body mass index variation on amyloid-β positivity.

Authors:  Sung Hoon Kang; Jong Hyuk Kim; Yoosoo Chang; Bo Kyoung Cheon; Yeong Sim Choe; Hyemin Jang; Hee Jin Kim; Seong-Beom Koh; Duk L Na; Kyunga Kim; Sang Won Seo
Journal:  Front Aging Neurosci       Date:  2022-07-22       Impact factor: 5.702

8.  Variability of body mass index and risks of prostate, lung, colon, and ovarian cancers.

Authors:  Yangyang Sun; Lingling Zhou; Tao Shan; Qiong Ouyang; Xu Li; Yuanming Fan; Ying Li; Hang Gong; Raphael N Alolga; Gaoxiang Ma; Yuqiu Ge; Heng Zhang
Journal:  Front Public Health       Date:  2022-08-25

9.  Associations of hypertension burden on subsequent dementia: a population-based cohort study.

Authors:  Hyunjean Jung; Pil-Sung Yang; Daehoon Kim; Eunsun Jang; Hee Tae Yu; Tae-Hoon Kim; Jung-Hoon Sung; Hui-Nam Pak; Moon-Hyoung Lee; Gregory Y H Lip; Boyoung Joung
Journal:  Sci Rep       Date:  2021-06-10       Impact factor: 4.379

10.  Fluctuating renal function and the risk of incident atrial fibrillation: a nationwide population-based study.

Authors:  Soonil Kwon; So-Ryoung Lee; Eue-Keun Choi; Kyung-Do Han; Seokhun Yang; Seo-Young Lee; Hyun-Jung Lee; Inki Moon; Euijae Lee; Myung-Jin Cha; Woo-Hyun Lim; Seil Oh; Gregory Y H Lip
Journal:  Sci Rep       Date:  2019-12-02       Impact factor: 4.379

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