An association between smoking habits and blood pressure in normotensive Japanese men: a 5-year follow-up study☆
Introduction
Smoking has been shown to raise blood pressure (BP) by vasoconstriction and accelerated heart rate as an acute effect (Aronow et al., 1971, Cryer et al., 1976, Benowitz et al., 1982, Benowitz et al., 1984, De Cesaris et al., 1992), while the chronic effect of addictive smoking has not been elucidated in epidemiological studies. Different groups have reported that either no association existed between smoking habits and BP (Kagamimori et al., 1980, Arkwright et al., 1982, Criqui et al., 1982, Lang et al., 1983, Simons et al., 1984), that BP of smokers was lower than that of non-smokers (Higgins and Kjelsberg, 1967, Seltzer, 1974, Goldbourt and Medalie, 1977, Agner, 1983, Savdie et al., 1984, Green et al., 1986, Imamura et al., 1996), or that smoking raised BP (Elliott and Simpson, 1980, Dyer et al., 1982). In addition, a dose–effect relationship between daily smoking amount and BP was significant in some studies (Goldbourt and Medalie, 1977, Savdie et al., 1984, Imamura et al., 1996), while others failed to confirm this finding (Gofin et al., 1982, Green et al., 1986, Istvan et al., 1999). Thus, the effect of smoking habits on BP and, especially its precise nature, is still unclear.
One possible reason for such conflicting results is that there are many factors that impinge upon BP. Therefore, controlling for these various confounding factors is necessary to evaluate the effects of smoking habits on BP precisely. Therefore, we conducted a cross-sectional study that considered confounding factors (Okubo et al., 2002). The results of this study revealed that both systolic blood pressure (SBP) and diastolic blood pressure (DBP) of smokers were significantly lower than those of non-smokers and ex-smokers. In addition, no significant dose–effect association among smokers was observed.
Thus, we saw a need for a longitudinal evaluation of the long-term relationship of smoking habits with BP considering confounding factors. In addition, while the effect of cessation of smoking on BP has been reported (Higgins and Kjelsberg, 1967, Goldbourt and Medalie, 1977, Jacobs and Gottenborg, 1981, Green et al., 1986), there is no report investigating changes in BP in beginning smokers. Therefore, we conducted a 5-year follow-up study considering confounding factors of age, obesity, drinking habits, habitual exercise, salt intake, and blood chemistry, in normotensive middle-aged male workers to clarify the effects of smoking habits and their changes on BP.
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Subjects
The subjects of this study were Japanese male steelworkers aged 40–54 years who showed normal BP (SBP<140 mmHg and DBP<90 mmHg) in an annual health examination in 1990. Subjects who had been diagnosed with hypertension or had initiated anti-hypertensive therapy in 1990 or before were excluded. The number of participating subjects was 2871 (46.8±3.9 years), and the number of subjects who were followed up completely was 2107 (45.8±3.7 years). The number of censored subjects was 764 (49.6±3.3
Comparison between follow-up subjects and retired or transferred subjects
The number of follow-up subjects and retired or transferred subjects according to smoking habits in 1990 is shown in Table 1 (accompanying supplement). The prevalence of non-smokers and extreme smokers among follow-up subjects was higher than among retired or transferred subjects.
The results of measurements and comparison between follow-up subjects and retired or transferred subjects are shown in Table 2. The average DBP, age and plasma glucose in follow-up subjects were lower than in retired
Discussion
A consensus has not been reached regarding the association between smoking habits and BP. Age, obesity, drinking habits and physical activity are known confounding factors with regard to smoking habits. It was reported that the prevalence of smokers decreased with increase in age (Green et al., 1986), and smokers had a lower prevalence of obesity (Goldbourt and Medalie, 1977), higher amount of drinking (Green et al., 1986) and less physical activity (Goldbourt and Medalie, 1975) than
Acknowledgements
This research was supported by internal funds only.
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