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(Hypertension. 1999;33:586-590.)
© 1999 American Heart Association, Inc.
Scientific Contributions |
From the Department of Medicine, Division of Hypertension and Cardiorenal Disease, Dokkyo University School of Medicine, Mibu, Tochigi, Japan.
Correspondence to Junichi Minami, MD, Department of Medicine, Division of Hypertension and Cardiorenal Disease, Dokkyo University School of Medicine, Mibu, Tochigi 321-0293, Japan. E-mail j-minami{at}dokkyomed.ac.jp
| Abstract |
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Key Words: smoking cessation blood pressure monitoring, ambulatory heart rate heart rate variability sympathetic nervous system parasympathetic nervous system
| Introduction |
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| Methods |
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10 cigarettes daily; range 10 to 80) and
stated their desire to stop smoking. The mean±SEM age was 32.8±1.1
years. They all agreed to participate in the study after receiving a
detailed explanation of its nature and purpose, and each subject gave
written informed consent. The study protocol was in accordance with the
Declaration of Helsinki (1989) of the World Medical Association and was
approved by the institutional review board of Dokkyo University School
of Medicine.
Study Protocol
The subjects were randomly allocated to 1 of 2 experimental
groups. Members of the first group (n=19) were instructed to cease
smoking for 1 week (nonsmoking period). At the end of this period,
subjects resumed their usual smoking with their usual pattern of
smoking for another 1 week period (smoking period). Members of the
second group (n=23) were allocated to a reverse study design; they
continued their usual smoking habits and usual patterns of smoking
during the first week (smoking period) and were instructed to cease
smoking for the second week (nonsmoking period). During the first 3
days of the nonsmoking periods, all subjects were strongly encouraged,
via telephone conversations, to maintain the cessation of smoking.
Blood Sampling and Analysis
Venous blood samples were obtained after a 12-hour overnight
fast from subjects after 15 minutes of supine rest on the last day of
each period. Plasma catecholamine levels were measured with
high-performance liquid chromatography. Serum
nicotine and cotinine concentrations were measured with gas
chromatographiy as described by Jacob et al.3
Cotinine, a metabolite of nicotine, has a much longer half-life and
fluctuates much less throughout the day than does nicotine and is
widely used as a marker of daily nicotine intake.4 We used
cotinine to assess compliance with the cessation protocol.
24-Hour Ambulatory Blood Pressure Measurement
The ambulatory BP was monitored every 30 minutes by a
cuff-oscillometric device (model TM-2425; A&D Co)5
on the last day of each period. The subjects were asked to carry the
device for 26 hours, and the first 2 hours of recordings made
at or near the hospital were omitted from the analysis. The
ambulatory monitoring was performed during an average working day. The
TM-2425 contains an acceleration sensor in the main unit5 ;
the subject's physical activity was quantified every 1 minute. The
subject was requested to note his activities in a miniature diary with
particular attention to times of retiring to bed and arising in the
morning. The daytime and nighttime BPs were calculated according to the
true waking and sleeping times of the individual subjects. The subject
was also requested to note the number of cigarettes smoked per hour in
the diary during the smoking period. The same recorder was used for
each subject for the entire protocol to avoid having different BP
readings obtained by different recorders.
Power-Spectral Analysis of R-R Intervals
The ambulatory BP recorder used in this study, the TM-2425,
also monitored the R-R interval of the
electrocardiogram (ECG). The procedures for determining
the power-spectral analysis of R-R intervals in this device
were previously reported in detail by our group.6 Spectral
R-R interval variability was computed as the LF component (0.05 to 0.15
Hz) and HF component (0.15 to 0.40 Hz) with the autoregressive model
from every 5-minute block over a 24-hour period. The LF/HF ratio was
calculated as an index of sympathovagal balance,7 although
there are some problems with the interpretation of this
index.8 We also calculated 1 of the time domain indices,
pNN50, which is the percentage of differences between adjacent normal
R-R intervals >50 milliseconds; the pNN50 is a useful marker of
parasympathetic nerve activity.9 HR was calculated on the
basis of continuous ECG recordings.
Statistical Analysis
Values are expressed as means±SEM. Comparisons between the
smoking and nonsmoking periods were made using Student's paired
t test and 1-way repeated measures ANOVA as appropriate.
Newman-Keuls tests were used as determined by the ANOVA results. For
the comparisons of power-spectral data, the natural logarithmic values,
ie, ln (the LF component), ln (the HF component), or ln (the LF/HF
ratio), were used to normalize the skewness of the data. Statistical
significance was accepted at the level of P<0.05.
| Results |
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Effects of Smoking Cessation on Body Weight and Laboratory
Data
Table 2
lists the average values of
body weight, serum nicotine and cotinine concentrations, and plasma
norepinephrine and epinephrine concentrations
during the smoking and nonsmoking periods. The subjects' body weights
did not differ significantly between the 2 periods. The serum nicotine
and cotinine concentrations were significantly lower in the nonsmoking
period than in the smoking period. The plasma
norepinephrine and epinephrine concentrations were
also significantly lower in the nonsmoking period than in the smoking
period.
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Effects of Smoking Cessation on 24-Hour BP and HR
Figure 1
depicts the 24-hour trends
of BP and HR in each period and the average number of cigarettes smoked
per hour in the smoking period. Table 3
lists the average values of BP, HR, and physical activity for the
entire 24-hour period, the daytime, and the nighttime. Physical
activity quantified by an acceleration sensor did not differ
significantly between the 2 periods in the daytime or the nighttime.
The daytime BP was significantly lower in the nonsmoking period than in
the smoking period, by 4.9±1.2 mm Hg systole
(P<0.001) and 2.7±0.8 mm Hg diastole
(P<0.01), whereas the nighttime BP did not differ
significantly between the 2 periods. The difference in the 24-hour BP
between the 2 periods was 3.5±1.1 mm Hg systole
(P<0.01) and 1.9±0.7 mm Hg diastole
(P<0.05). With regard to the HR, not just the daytime HR
but also the nighttime HR was significantly lower in the nonsmoking
period than in the smoking period, by 9.2±1.1 beats/min
(P<0.0001) and by 3.7±1.2 beats/min (P<0.01),
respectively. The difference in the 24-hour HR between the 2 periods
was 7.3±1.0 beats/min (P<0.0001). The number of total
heart beats over 24 hours was 118 919±2 017 in the smoking period
and 108 448±2 065 in the nonsmoking period
(P<0.0001).
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Effects of Smoking Cessation on Measures of HRV
Table 4
lists the average values of
the pNN50, the LF component, the HF component, and the LF/HF ratio for
the entire 24-hour period, the daytime and the nighttime. Figure 2
depicts the 24-hour trends of the LF
component, the HF component, and the LF/HF ratio in each period and the
average number of cigarettes smoked per hour in the smoking period. The
pNN50 and the HF component both were significantly higher in the
nonsmoking period than in the smoking period in both the daytime and
nighttime, indicating that the smoking cessation augmented the
parasympathetic nerve activity throughout a 24-hour period in these
subjects. The daytime LF/HF ratio was significantly lower in the
nonsmoking period than in the smoking period (P<0.01),
whereas the nighttime LF/HF ratio did not differ significantly between
the 2 periods.
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| Discussion |
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This is the first study in which the effect of smoking cessation on ambulatory BP was examined over 24 hours by the use of intervention and a randomized trial in the same individuals. Several investigators have shown, in a cross-sectional comparison of habitual smokers and nonsmoking controls, that daytime ambulatory BP is significantly higher in smokers than in nonsmokers, whereas nighttime BP does not differ significantly between the 2 groups.10 11 The present study confirms these earlier findings with a randomized crossover design.
As for the effect of smoking on HRV, a few investigators have shown that HRV is lower in smokers than in nonsmokers on the basis of a cross-sectional comparison of habitual smokers and nonsmoking controls.12 13 14 There are 2 studies to date that assessed changes in HRV after smoking cessation; however, their findings are not completely consistent with each other. According to Stein et al,15 all time and frequency domain indices of HRV were significantly elevated after 4 weeks of smoking cessation, although the LF/HF ratio was not affected. In contrast, Yotsukura et al16 have recently shown that in a smaller number of subjects, the magnitude of the increase in HRV peaked 2 to 7 days after smoking cessation and gradually declined thereafter. These 2 studies were not randomized trials. Therefore, there are some concerns about the time-related effect on the measures of HRV. Changes in body weight were not addressed, although smoking cessation is often associated with an increase in food intake and weight gain.17 Moreover, in the 2 previous studies, the daytime and nighttime values of the measures of HRV were not assessed separately, although it is of considerable interest to assess whether smoking cessation has an influence on the indices of HRV even in the nighttime when subjects do not smoke cigarettes. These factors may limit the interpretation of the data of the 2 earlier studies. The present study is the first conducted as a randomized crossover design with a considerable number of subjects, to elucidate the effects of smoking cessation on HRV.
The present results showed that the smoking cessation significantly decreased both the pNN50 and the HF component throughout a 24-hour period, indicating that in habitual smokers, parasympathetic nervous function is impaired even in the nighttime when they are sleeping and do not smoke cigarettes. As for the effect of smoking cessation on sympathetic activity in these subjects, plasma norepinephrine and epinephrine were lower in the nonsmoking period than in the smoking period, confirming previous observations.18 This finding is in line with the well-established view that smoking increases sympathetic outflow to the heart and some other vascular beds including peroneal muscle in humans.19 20 21 It has also been suggested that a smoking-associated impairment of the baroreflex ability to counteract peripheral adrenergic stimulation participates in the sympathoexcitatory effects of smoking in humans.22 23
This is the first interventional and randomized trial to identify associations between smoking cessation and various cardiovascular indices, including ambulatory BP, HR, time domain, and frequency domain measures of HRV and plasma catecholamine levels. The present findings verified the substantial and immediate beneficial effects of smoking cessation on these cardiovascular indices. The clinical implications seem to be quite favorable even for individuals who have been long-term cigarette smokers.
| Acknowledgments |
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Received September 15, 1998; first decision October 26, 1998; accepted November 9, 1998.
| References |
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