Literature DB >> 25845964

Interaction of Blood Pressure and Body Mass Index With Risk of Incident Atrial Fibrillation in a Japanese Urban Cohort: The Suita Study.

Yoshihiro Kokubo1, Makoto Watanabe2, Aya Higashiyama3, Yoko M Nakao4, Takashi Kobayashi2, Takuya Watanabe2, Tomonori Okamura5, Akira Okayama6, Yoshihiro Miyamoto4.   

Abstract

BACKGROUND AND
PURPOSE: To prevent stroke, strategies for atrial fibrillation (AF) prevention and an early detection of AF by electrocardiogram are essential. However, only a limited prospective studies have examined the risk factors for AF, even in blood pressure (BP) and body mass index (BMI), which are not clear among general populations. We investigated the impacts of BP and BMI on the risk of incident AF in a general population.
METHODS: A total of 6,906 participants (30-84 years) in the Suita Study were prospectively followed up for incident AF. Participants were diagnosed with AF if AF or atrial flutter was present on an electrocardiogram from a routine health examination (every 2 years) or if AF was indicated as a present illness from health examinations and/or medical records during follow-up. Adjusted Cox proportional hazard ratios (HRs) were calculated.
RESULTS: During the 12.8-year follow-up, 253 incident AF events occurred. Compared with the systolic BP (SBP) < 120 mm Hg and normal-weight, the adjusted HRs (95% confidence intervals; CIs) of incident AF in the systolic hypertension and the overweight (BMI ≥ 25kg/m(2)) groups were 1.74 (1.22-2.49) and 1.35 (1.01-1.80), respectively. Compared with SBP < 120 mm Hg and normal weight, the adjusted HRs (95% CIs) of incident AF in the SBP = 120-139 mm Hg with overweight and the systolic hypertension with normal or overweight were 1.72 (1.01-2.91), 1.66 (1.10-2.50), and 2.31 (1.47-3.65), respectively (P for interaction = 0.04).
CONCLUSIONS: Systolic prehypertension and overweight are associated with incident AF in Japanese population. The association between SBP and AF may be evident by overweight. © American Journal of Hypertension, Ltd 2015. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  atrial fibrillation; blood pressure; body mass index; hypertension; prospective cohort study; risk factor.

Mesh:

Year:  2015        PMID: 25845964     DOI: 10.1093/ajh/hpv038

Source DB:  PubMed          Journal:  Am J Hypertens        ISSN: 0895-7061            Impact factor:   2.689


  10 in total

1.  Body mass index and the risk of all-cause mortality among patients with nonvalvular atrial fibrillation: a multicenter prospective observational study in China.

Authors:  H Wan; S Wu; J Wang; Y Yang; J Zhu; X Shao; B Huang; H Zhang
Journal:  Eur J Clin Nutr       Date:  2016-10-26       Impact factor: 4.016

2.  Impact of pre-existing hypertension and control status before atrial fibrillation onset on cardiovascular prognosis in patients with non-valvular atrial fibrillation: A real-world database analysis in Japan.

Authors:  Kazuomi Kario; Toru Abe; Hiroshi Kanegae
Journal:  J Clin Hypertens (Greenwich)       Date:  2019-12-09       Impact factor: 3.738

3.  Sleep duration and atrial fibrillation risk in the context of predictive, preventive, and personalized medicine: the Suita Study and meta-analysis of prospective cohort studies.

Authors:  Ahmed Arafa; Yoshihiro Kokubo; Keiko Shimamoto; Rena Kashima; Emi Watanabe; Yukie Sakai; Jiaqi Li; Masayuki Teramoto; Haytham A Sheerah; Kengo Kusano
Journal:  EPMA J       Date:  2022-02-26       Impact factor: 6.543

Review 4.  Body mass index, abdominal fatness, fat mass and the risk of atrial fibrillation: a systematic review and dose-response meta-analysis of prospective studies.

Authors:  Dagfinn Aune; Abhijit Sen; Sabrina Schlesinger; Teresa Norat; Imre Janszky; Pål Romundstad; Serena Tonstad; Elio Riboli; Lars J Vatten
Journal:  Eur J Epidemiol       Date:  2017-02-13       Impact factor: 8.082

5.  Impact of Intima-Media Thickness Progression in the Common Carotid Arteries on the Risk of Incident Cardiovascular Disease in the Suita Study.

Authors:  Yoshihiro Kokubo; Makoto Watanabe; Aya Higashiyama; Yoko M Nakao; Fumiaki Nakamura; Yoshihiro Miyamoto
Journal:  J Am Heart Assoc       Date:  2018-06-01       Impact factor: 5.501

6.  Effect of Metabolically Healthy Obesity on the Development of Carotid Plaque in the General Population: A Community-Based Cohort Study.

Authors:  Hidetaka Itoh; Hidehiro Kaneko; Hiroyuki Kiriyama; Yuriko Yoshida; Koki Nakanishi; Yoshiko Mizuno; Masao Daimon; Hiroyuki Morita; Yutaka Yatomi; Nobutake Yamamichi; Issei Komuro
Journal:  J Atheroscler Thromb       Date:  2019-06-22       Impact factor: 4.928

7.  Uric acid and incident atrial fibrillation of 14 years population-based cohort study: The Suita Study.

Authors:  Takashi Kobayashi; Yoshihiro Kokubo; Aya Higashiyama; Makoto Watanabe; Yoko M Nakao; Shiro Kamakura; Kengo Kusano; Yoshihiro Miyamoto
Journal:  J Arrhythm       Date:  2021-08-11

8.  Dose Timing of an Angiotensin II Receptor Blocker/Calcium Channel Blocker Combination in Hypertensive Patients With Paroxysmal Atrial Fibrillation.

Authors:  Kazuomi Kario; Satoshi Hoshide; Kazuaki Uchiyama; Tetsuro Yoshida; Osamu Okazaki; Takao Noshiro; Hirotaka Aoki; Hiroyuki Mizuno; Yuri Matsumoto
Journal:  J Clin Hypertens (Greenwich)       Date:  2016-03-16       Impact factor: 3.738

Review 9.  Are cardiovascular risk factors also associated with the incidence of atrial fibrillation? A systematic review and field synopsis of 23 factors in 32 population-based cohorts of 20 million participants.

Authors:  Victoria Allan; Shohreh Honarbakhsh; Juan-Pablo Casas; Joshua Wallace; Ross Hunter; Richard Schilling; Pablo Perel; Katherine Morley; Amitava Banerjee; Harry Hemingway
Journal:  Thromb Haemost       Date:  2017-02-23       Impact factor: 5.249

10.  Exploring the causal pathway from ischemic stroke to atrial fibrillation: a network Mendelian randomization study.

Authors:  Lei Hou; Mingqing Xu; Yuanyuan Yu; Xiaoru Sun; Xinhui Liu; Lu Liu; Yunxia Li; Tonghui Yuan; Wenchao Li; Hongkai Li; Fuzhong Xue
Journal:  Mol Med       Date:  2020-01-15       Impact factor: 6.354

  10 in total

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