Literature DB >> 25243349

Association between the physical activity and heart rate corrected-QT interval in older adults.

Ryoma Michishita1, Chika Fukae1, Rikako Mihara1, Masahiro Ikenaga1, Kazuhiro Morimura1, Noriko Takeda2,3, Yosuke Yamada4,5, Yasuki Higaki1,4, Hiroaki Tanaka1,4, Akira Kiyonaga1,4.   

Abstract

AIM: Increased physical activity can reduce the incidence of cardiovascular disease and the mortality rate. In contrast, a prolonged heart rate corrected-QT (QTc) interval is associated with an increased risk of arrhythmias, sudden cardiac death and coronary artery disease. The present cross-sectional study was designed to clarify the association between the physical activity level and the QTc interval in older adults.
METHODS: The participants included 586 older adults (267 men and 319 women, age 71.2 ± 4.7 years) without a history of cardiovascular disease, who were taking cardioactive drugs. Electrocardiography was recorded with a standard resting 12-lead electrocardiograph, while the QTc interval was calculated according to Hodges' formula. The physical activity level was assessed using a triaxial accelerometer. The participants were divided into four categories, which were defined equally quartile distributions of the QTc interval.
RESULTS: After adjusting for age, body mass index, waist circumference and the number of steps, the time spent in inactivity was higher and the time spent in light physical activity was significantly lower in the longest QTc interval group than in the shortest QTc interval group in both sexes (P < 0.05, respectively). However, there were no significant differences in the time spent in moderate and vigorous physical activities among the four groups in either sex.
CONCLUSIONS: These results suggest that a decreased physical activity level, especially inactivity and light intensity physical activity, were associated with QTc interval in older adults.
© 2014 Japan Geriatrics Society.

Entities:  

Keywords:  QTc interval; inactivity time; light intensity physical activity; older adults

Mesh:

Year:  2014        PMID: 25243349     DOI: 10.1111/ggi.12365

Source DB:  PubMed          Journal:  Geriatr Gerontol Int        ISSN: 1447-0594            Impact factor:   2.730


  5 in total

1.  Effect of Sub Maximal Dynamic and Static Exercises on QTc interval in Healthy Young Men.

Authors:  Bharti Bhandari; Lokesh Kumar; Anjum Datta; Sabyasachi Sircar
Journal:  J Clin Diagn Res       Date:  2015-06-01

2.  Association between a frailty index based on common laboratory tests and QTc prolongation in older adults: the Rugao Longevity and Ageing Study.

Authors:  Teng Ma; Jian Cai; Yin-Sheng Zhu; Xue-Feng Chu; Yong Wang; Guo-Ping Shi; Zheng-Dong Wang; Shun Yao; Xiao-Feng Wang; Xiao-Yan Jiang
Journal:  Clin Interv Aging       Date:  2018-04-27       Impact factor: 4.458

3.  No evidence of association between habitual physical activity and ECG traits: Insights from the electronic Framingham Heart Study.

Authors:  Jelena Kornej; Joanne M Murabito; Yuankai Zhang; Chunyu Liu; Ludovic Trinquart; Mayank Sardana; Emily S Manders; Michael M Hammond; Nicole L Spartano; Chathurangi H Pathiravasan; Xuzhi Wang; Belinda Borrelli; David D McManus; Emelia J Benjamin; Honghuang Lin
Journal:  Cardiovasc Digit Health J       Date:  2021-11-23

4.  Physical Activity and/or High Protein Intake Maintains Fat-Free Mass in Older People with Mild Disability; the Fukuoka Island City Study: A Cross-Sectional Study.

Authors:  Rie Takae; Yoichi Hatamoto; Jun Yasukata; Yujiro Kose; Takaaki Komiyama; Masahiro Ikenaga; Eiichi Yoshimura; Yosuke Yamada; Naoyuki Ebine; Yasuki Higaki; Hiroaki Tanaka
Journal:  Nutrients       Date:  2019-10-29       Impact factor: 5.717

5.  Association between Work-Related Stress and QT Prolongation in Male Workers.

Authors:  Luigi Isaia Lecca; Igor Portoghese; Nicola Mucci; Maura Galletta; Federico Meloni; Ilaria Pilia; Gabriele Marcias; Daniele Fabbri; Jacopo Fostinelli; Roberto G Lucchini; Pierluigi Cocco; Marcello Campagna
Journal:  Int J Environ Res Public Health       Date:  2019-11-28       Impact factor: 3.390

  5 in total

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