Literature DB >> 26587480

Smoking-Suppressed Heart Rate Recovery in Young Male College Students Who Regularly Exercised.

Kwang Suk Cha1, Min Keun Seo1, Ho Young Ryu1, Jae Jun Nam2, Dong Jun Sung1.   

Abstract

Entities:  

Year:  2015        PMID: 26587480      PMCID: PMC4645736     

Source DB:  PubMed          Journal:  Iran J Public Health        ISSN: 2251-6085            Impact factor:   1.429


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Dear Editor-in-Chief

Smoking is a major risk factor of several types of cancer and cardiovascular disease (1). According to WHO report, every year, approximately 6 million people worldwide die of heart diseases, lung cancer, or other diseases associated with tobacco smoking. If this trend continues, 8 million people are estimated to die every year by 2030 (2). From this perspective, smoking is obviously a serious health-related issue. Regular exercise is recommended for the prevention of coronary heart diseases, as it counterbalances the prevalence of these diseases (3). Heart rate response and coronary heart disease are highly correlated (4). Delayed heart rate recovery (HRR) after exercise is considered as a predictive indicator of coronary heart disease (5). Moreover, HRR after exercise is faster among healthy people who exercise regularly than among people who do not exercise (6). In particular, HRR in smokers is often delayed (7). As such, regular exercise and smoking are considered to affect the HRR after exercise, but the effect of smoking on the time to HRR in individuals who exercise regularly has not been clarified yet. This study aimed to investigate the HRR rate after exercise according to smoking status in healthy college male students who regularly exercised. Participants were categorized into either a nonsmoker group (n = 24) or a smoker group (n = 19). Those who had been smoking 10 cigarettes per day for more than 5 years were categorized as smokers. The mean ± standard deviation age of the patients in the nonsmoker and smoker groups were 20.5 ± 2.7 and 21.5 ± 2.3 years, respectively, without any significant difference (t = −0.874, P = 0.393). The participants in this study were healthy people who regularly exercised at least 3 times a week and had no history of disease or cardiac malfunction (dysfunction) on resting electrocardiography. In a treadmill exercise test (graded exercise test) using the Bruce protocol (8), VO2max (mL·kg·min) and heart rate (bpm) were determined. HRR was assessed at 20 (HRR20), 40 (HRR40), 60 (HRR60), and 80 seconds (HRR80) after exercise. Decreasing heart rate (%) was calculated by dividing it by the maximum heart rate (HRmax). Statistical verification was performed by performing an independent t test by using SPSS 19.0 (IBM, Armonk, NY, USA). Statistical significance was set at P < 0.05. The resting heart rate in the nonsmoker and smoker groups were 72.4 ± 5 and 80.1 ± 5.8 bpm, indicating a significant difference (t = −5.205, P < 0.001). However, no significant difference in maximum heart rate was observed. In the nonsmoker and smoker groups, the VO2max values according to smoking status were 57.3 ± 6.4 and 56.8 ± 4.2 mL·kg·min, respectively, without significant difference between the groups. The heart rate reduction rate at HRR20 was 4.46 ± 2.2 % in the nonsmoker group and 2.4 ± 2.1 % in the smoker group, with significant difference between the groups (t = 2.827, P = 0.007). At HRR40, the rates were 10 ± 4.4 % and 6.72 ± 1.8 %, respectively, with a significant difference between the groups (t = 3.335, P = 0.002). Similarly, at HRR60, the rates were 15.2 ± 6.4 % and 10.9 % ± 2.7%, respectively, confirming a significant reduction rate (t = 3.027, P = 0.004). Finally, at HRR80, the heart rate reduction rates were 18.6 ± 6.9 % and 14 ± 2.2 %, respectively, showing a significant difference (t = 3.216, P = 0.003). Our results show that even if the maximum exercise capacity of the young healthy persons who regularly exercised was not affected by smoking, their HRR after exercise was still delayed. Moreover, we strongly suggest that even with regular exercise, the prevalence of coronary artery disease is still higher among smokers than among nonsmokers. Based on our present results, we are currently conducting research on the relationship of heart rate recovery to exercise, smoking frequency, and smoking duration.
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Review 1.  Cigarette smoking and cardiovascular disease: pathophysiology and implications for treatment.

Authors:  Neal L Benowitz
Journal:  Prog Cardiovasc Dis       Date:  2003 Jul-Aug       Impact factor: 8.194

2.  Effects of smoking on heart rate at rest and during exercise, and on heart rate recovery, in young adults.

Authors:  George Papathanasiou; Dimitris Georgakopoulos; Effie Papageorgiou; Efthimia Zerva; Lampros Michalis; Vasiliki Kalfakakou; Angelos Evangelou
Journal:  Hellenic J Cardiol       Date:  2013 May-Jun

3.  Heart rate recovery may predict the presence of coronary artery disease.

Authors:  Aydin Akyüz; Seref Alpsoy; Dursun Cayan Akkoyun; Hasan Değirmenci; Niyazi Güler
Journal:  Anadolu Kardiyol Derg       Date:  2014-01-02

Review 4.  Exercise as a therapeutic intervention in patients with stable ischemic heart disease: an underfilled prescription.

Authors:  William E Boden; Barry Franklin; Kathy Berra; William L Haskell; Karen J Calfas; Franklin H Zimmerman; Nanette K Wenger
Journal:  Am J Med       Date:  2014-05-17       Impact factor: 4.965

5.  Heart rate recovery after submaximal exercise testing as a predictor of mortality in a cardiovascularly healthy cohort.

Authors:  C R Cole; J M Foody; E H Blackstone; M S Lauer
Journal:  Ann Intern Med       Date:  2000-04-04       Impact factor: 25.391

6.  Maximal oxygen intake and nomographic assessment of functional aerobic impairment in cardiovascular disease.

Authors:  R A Bruce; F Kusumi; D Hosmer
Journal:  Am Heart J       Date:  1973-04       Impact factor: 4.749

7.  Heart rate variability associates with asymptomatic coronary atherosclerosis.

Authors:  Sakari Simula; Esko Vanninen; Seppo Lehto; Antti Hedman; Pia Pajunen; Mikko Syvänne; Juha Hartikainen
Journal:  Clin Auton Res       Date:  2013-11-30       Impact factor: 4.435

  7 in total

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