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RESEARCH PAPER |
1 Norwegian Institute of Public Health, Oslo, Norway
2 National Health Screening Service, Oslo, Norway
Correspondence to:
K Bjartveit
Fridtjof Nansens vei 24 B, N-0369 Oslo, Norway; kjell.bjartveit{at}chello.no
Received 14 February 2006
Accepted 16 August 2006
| ABSTRACT |
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15 cigarettes/day), who reduced their daily cigarette consumption by >50%. Design: A prospective cohort study.
Setting: Three counties in Norway.
Participants: 24 959 men and 26 251 women, aged 2049 years, screened for risk factors of cardiovascular disease in the mid-1970s, screened again after 313 years, and followed up throughout 2003.
Outcomes: Absolute mortality and relative risks adjusted for confounding variables, of dying from all causes, cardiovascular disease, ischaemic heart disease, all smoking-related cancer and lung cancer.
Results: With sustained heavy smokers as reference, the smokers of both sexes who reduced their daily consumption (reducers) had the following adjusted relative risks (95% confidence interval (CI)): of dying from any cause, 1.02 (0.84 to 1.22); cardiovascular disease, 1.02 (0.75 to 1.39); ischaemic heart disease, 0.96 (0.65 to 1.41); smoking-related cancer, 0.86 (0.57 to 1.29); and lung cancer, 0.66 (0.36 to 1.21). The difference in cigarette consumption between two examinations was not a significant predictor of death from any of the causes. A follow-up from a third screening of the subgroup who were reducers at both second and third examinations (sustained reducers) did not have a lower risk than those who were heavy smokers at all three examinations.
Conclusions: Long-term follow-up provides no evidence that heavy smokers who cut down their daily cigarette consumption by >50% reduce their risk of premature death significantly. In health education and patient counselling, it may give people false expectations to advise that reduction in consumption is associated with reduction in harm.
Numerous population studies have given ample evidence that quitting smoking entirely results in a marked reduction in the ill effects of smoking. Up to now, however, only one large prospective study has explored the long-term effects of unassisted reduced smoking. Godtfredsen et al14 have pioneered in this field by following up a population of nearly 20 000 men and women living in Copenhagen, Denmark (the Copenhagen Centre for Prospective Population Studies). After mean observation periods ranging from 13.8 to 18 years, they published their results in a series of articles.
The aim of this paper is to determine the risk in heavy smokers who reduced their cigarette consumption by at least 50%, named "reducers", compared with those who continued as heavy smokers. We report on a Norwegian population of 51 210 men and women, aged 2049 years, who were examined in the mid-1970s for cardiovascular disease risk factors and were examined again during the next 313 years at least once. These people were followed up throughout 2003 for deaths from serious smoking-related diseases and from all causes. The mean observation period is 21.2 years, maximum 27 years. A subgroup attended three screenings. This gave us the possibility to compare those who were reducers at the two last screenings (sustained reducers) with those who were heavy smokers at all three screenings (sustained heavy smokers).
| METHODS |
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An identical protocol was applied for the screening programme in the three counties concerned. It included a questionnaire related to well-known risk factors of cardiovascular disease. Height, weight and blood pressure were measured, and a non-fasting blood sample was drawn and serum analysed at the same laboratory for total cholesterol, triglycerides and glucose. Details on results from the first screening have been published previously.6
A more extensive report on this study population after 13 years of observation with relevance to smoking and mortality has been published previously,7 and also another report compiled after 25 years of observation, concentrating on the risk in people smoking 14 cigarettes.8
Second and third screenings
In one county, Finnmark, two new screenings were conducted after 3 and 13 years. In the other two counties (75% of the total study population), the re-screenings were carried out around 5 and 10 years after the initial screening.911
At the second screening, all those invited to the initial screening were re-invited and, in addition, a 9% random sample of people aged 2034 years who were not invited to the first examination. The attendance was 88%.12
At the third screening, minor modifications were made in the eligibility to the examinations; the main core of participants in the previous rounds, however, was re-invited. Owing to capacity constraints, only a 10% random sample of the cohort aged 4549 years at the first screening was invited. The attendance rate was 84%.10,13,14
The most important elements of the screening programme were kept unchanged throughout all screeningsin particular, that part of the questionnaire covering smoking habits.
The study population
For each individual who underwent two or more examinations, paired results were selected according to the following priority, on the basis of attendance to the
Consequently, there was a total of 61 492 people (30 956 men and 30 536 women) who had results from two examinations.
The follow-up period started from the last examination.
Exclusions
We excluded the following people: men and women who at the last examination reported a history of myocardial infarction, angina pectoris, stroke, diabetes, atherosclerosis of legs, treatment for hypertension, use of glyceryl trinitrate and symptoms indicative of angina pectoris or atherosclerosis obliterans, totalling 6506 people. They were excluded to avoid the problem of reverse causality that might occur if people reduced smoking owing to illness. Also, 1594 men smoking a pipe at the last examination were excluded. The few women who smoked a pipe and the few men and women who smoked cigars were disregarded. Also, 1884 people who started smoking between the first and second examination were excluded, as were 298 people for unspecified reasons. Consequently, the total number of people excluded were 10 282 (5997 men and 4285 women).
Thus, 24 959 men and 26 251 women remained as participants for analysis. All of them underwent two examinations, and at the time of the last investigation they reported neither a history related to cardiovascular disease or diabetes nor symptoms indicative of angina pectoris or atherosclerosis obliterans. They were present or previously daily smokers of only cigarettes, or had never smoked cigarettes daily. For a negligible number of participants, information was missing on some of the confounding variables.
Quantity of daily cigarette consumption
The attending participants reported the actual number of cigarettes smoked per day in a special box in the questionnaire. Here, they were allowed to cite a range, such as 1015 cigarettes.
At the examination site, the nurses carefully checked through the questionnaire with the participants. Factory-made and hand-rolled cigarettes had to be counted together. The nurses were instructed that one pack of tobacco for hand rolling (50 g) equalled 50 cigarettes. For those who gave a range of consumption, we used the highest figure.
Categories of participants
To compare our results with those of the Danish study,1 we found it suitable to apply the categories used by Godtfredsen et al,1 with a slight modification as follows:
15 cigarettes per day, and at the last examination reported a consumption of at least 50% less cigarettes per day.
15 cigarettes per day, and at the last examinations did not fall into the categories of reducers or quitters.
Determination of serum thiocyanate
In 1976, determination of serum thiocyanate was introduced at the initial screening in one of the counties. Methods and quality assurance have been described by Foss and Lund-Larsen,15 who have also reported the results from the initial survey. Tobacco smoke contains hydrogen cyanide, which is absorbed in the lungs and then metabolised to thiocyanate. Owing to its long half life, serum thiocyanate has the advantage that it better reflects the average exposure to tobacco smoke during the previous couple of weeks than the exposure on a given day. The authors underline, however, that diet also contributes to the level of thiocyanate in serum; therefore, this level is not a specific indicator for tobacco smoking. A single determination can neither confirm nor weaken a statement on current individual tobacco consumption.
Analyses of serum thiocyanate in large population groups, however, will give valuable information on the groups tobacco consumption. This is shown by results from the initial screening, which show a remarkable doseresponse relationship between mean serum thiocyanate concentration and mean cigarette consumption of the group, based on questionnaire answers of the participants.15
At the second screening, serum thiocyanate was determined only in Finnmark county; therefore, we have information on serum thiocyanate for not more than 5851 men and 5630 womenthat is, 22.4% of the total number of the participants.
End points
We carried out a mortality follow-up by linking our records with the National Register of Causes of Death, using the 11-digit personal identification number as record linkage. Each person accrued person-years from the day of the last examination until the date of death, date of emigration or 31 December 2003.
In addition to deaths from all causes, we studied deaths from the following:
Statistical methods
Comparisons of baseline factors between heavy cigarette smokers and the reducers were made by the t test or the
2 test. Adjustments for age were carried out by the direct method, by applying the rates in 1-year age groups in the smoking categories during the observation years in the total study population. This was carried out separately for men and women. Relative risks adjusted for confounders were estimated using the Coxs proportional hazards model. Age attained was used as the time variable. The proportional hazards assumption was evaluated by visual inspection of the plots of log(person-years) against-log-log(survival probability). The lines in the smoking categories were fairly parallel. In the NelsonAalen plots, person-years was the time variable. Values of p<0.05 were considered significant.
| RESULTS |
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Comparing reducers with heavy smokers, reducers had a considerably lower stature and a higher frequency of disability pension (both sexes). Male reducers had a shorter duration of smoking, and female reducers had a higher frequency of sick leave.
Table 2
shows the mean number of cigarettes at the first and last examinations in heavy smokers, reducers and moderate smokers.
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Table 3
shows the mean serum thiocyanate values at the time of the last examination in participants in whom thiocyanate was determined.
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Table 4
shows the age-adjusted mortality from any cause, cardiovascular disease, ischaemic heart disease, smoking-related cancer or lung cancer, by sex and smoking category.
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Figure 1
shows the cumulative proportions of deaths from all causes, cardiovascular disease and smoking-related cancer, by time of death. For all causes in men, the reducers have slightly lower death rates than heavy smokers during the first 15 years, whereas afterwards the reducers catch up with the heavy smokers. For women, reducers have higher total mortality than heavy smokers during the whole period. For cardiovascular disease in both sexes, there is on the whole no distinct difference between reducers and heavy smokers. For smoking-related cancer, a clear difference can be seen between the sexes. In men, the reducers have lower death rates than the heavy smokers, whereas the reverse picture is seen in women. For the remaining smoking categories, the mortality levels are as expected. For female ex-smokers, however, the curve falls slightly below that for never smokers. Mortality due to cardiovascular disease among female heavy smokers is comparable with that in men who have quit smoking.
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As mentioned earlier, a third screening was carried out in all three counties. In Finnmark (25% of the total study population), this screening took place 10 years after the second screening; in the other two counties, 5 years after the second. Of the 475 reducers at the second examination, 271 attended the third examination. The main reason for the lower number of participants was that only a 10% random sample of the oldest 5-year age group was invited to the third examination.
We grouped these 271 participants by their status at the third examination:
As a reference group, we introduced sustained heavy smokersthat is, smokers with a daily cigarette consumption of
15 cigarettes at all three examinations.
Table 6
shows the relative risk of death from all causes in the three groups mentioned, with sustained heavy smokers as reference (both sexes together, but adjusted for sex).
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Table 6
gives also the mean daily cigarette consumption in all groups at all three examinations. At the second examination, this mean differed only slightly between the three groups. At the third examination, the mean remained at the same level in sustained reducers, nearly doubled in those who increased smoking, and went down to zero in new quitters. In sustained heavy smokers, the mean consumption was almost constant at all three examinations.
So far, we have concentrated on participants who were heavy smokers, who at the second examination reported a consumption of at least 50% less cigarettes per day. As a last approach, we present relative risk by degree of change in daily cigarette consumption between the first and the last examinations. This is done by running Coxs proportional hazards analyses among the daily smokers at both the first and last examinations, with sex, consumption level and consumption change as covariates. Consumption level was defined as the mean number of cigarettes at the first and last examinations; consumption change was defined as the difference between number of cigarettes at the first and last examinations.
Table 7
shows the relative risks of dying from any cause and from specified smoking-related diseases associated with a per 10 cigarette decrease in cigarette consumption, adjusted for sex and consumption level, for heavy smokers and for all smokers at the first examination. None of the relative risks is significantly different from 1. The largest decrease in risk is somewhat unexpectedly seen for ischaemic heart disease.
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| DISCUSSION |
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It would be interesting to compare the results from the study of the three Norwegian counties with those presented from the Copenhagen Centre for Prospective Population Studies1,3,4 (table 8
). Both studies are based on large populations that have been observed for long periods; both present relative risks for reducers with continuous heavy smokers as reference; and in both studies the relative risks have been adjusted for a series of confounding variables, which are partly the same for the two populations. For the reducers, the consumption decrease is about the same in the two countries.
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Certainly, the question remains as to whether the lower cigarette consumption at the second examination is due to under-reporting. Also, to what degree compensatory smoking (deeper inhalation and shorter butts) occurs in the reducers is yet unknown. Godtfredsen et al14 have discussed this question thoroughly. For our part, we find that the mean serum thiocyanate level is slightly higher in reducers than in the moderate smokers, although their mean cigarette consumption is slightly lower. This should point to the direction of some under-reporting in the reducers. We emphasise, however, that, compared with the heavy smokers, the reducers have a lower level of serum thiocyanate, although their all-cause mortality is exactly the same as that in the heavy smokers. This indicates that a substantial proportion of their reduction in consumption has been real, although its health consequences are largely unchanged.
One important point that we cannot fully tackle is the extent changes in smoking habits have taken place during the follow-up period. For the subgroup that underwent three examinations, however, it was possible to take into consideration the smoking status of the reducers 5 or 10 years later (table 6
). There was no mortality reduction among those who remained as reducers compared with those who remained as heavy smokers. Those who had changed from reducers to quitters had, on the other hand, 50% lower mortality than the sustained heavy smokers.
The sustained reducers had a mean daily cigarette consumption that was almost the same at the second and third examinationsthat is, they had maintained their lower level of consumption between 5 and 10 years (in one county for at least 13 years). It is reasonable that their reduced daily consumption then had stabilised and had lasted for the remaining observation period. Some uncertainty still remains on this point, however, and it would have strengthened the study to elucidate this question further by a new screening later in the observation period.
The consumption increase in most of the subgroup that underwent three examinations may explain the observation made in fig 1
, that during the first 15 years male reducers have slightly lower total mortality than heavy smokers, and that they then catch up with the heavy smokers.
It should be added that background characteristics such as serum lipids, blood pressure, physical activity and body mass index (kg/m2) did not differ significantly between reducers and sustained heavy smokers. A change in cigarette consumption does not go together with a change in lifestyle factors beneficial to health.
A higher prevalence was seen, however, of disability pension and sick leave among the reducers. This could indicate that for some reducers, their lower cigarette consumption accompany a consequence of some disorder. To clarify this question, we conducted separate analyses excluding people who reported disability or sick leave (data not shown). This exercise, however, gave essentially the same risk estimates as those in table 4
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Female reducers have clearly higher death rates than female heavy smokers, both from any cause and from smoking-related cancer. We have no explanation for this phenomenon, beyond the fact that this could be ascribed to chance.
Strengths and weaknesses of the study
The strength of the study is that it includes >51 000 people who were examined according to standardised procedures and observed for a mean of more than two decades. The number of person-years is 566 670 for men and 517 977 for women. We have also information on a series of relevant confounding variables and of a biochemical marker in one of the counties. Furthermore, the follow-up is complete.
Although we have results from a third examination for 57% of the reducers, it would have strengthened the study if we could have made an even better assessment as to what extent some of our findings are due to changes in smoking habits later during the follow-up period.
Possible implications for policymakers
In health education and patient counselling, it is widespread to offer smokers a last resort: "If you are unable to quit, cut down".
Undoubtedly, reduction in consumption may have a place as a temporary measure in systematic smoking cessation. Nevertheless, the results of this study, and those of the Copenhagen Study, make it imperative to reassess this recommendation as a permanent solution, and raise the question whether it offers people false expectations.
The study proves quite clearly the only safe way out of the risk caused by smoking: people who quit smoking have achieved a risk level that is remarkably lower than in those who continued to smoke.
| CONCLUSION |
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What this paper adds
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| FOOTNOTES |
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Competing interests: KB was involved in national and international tobacco control.
| REFERENCES |
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