International Journal of Epidemiology, Vol 28, 1032-1036, Copyright © 1999 by International Epidemiological Association
T Haldorsen and TK Grimsrud
BACKGROUND: Cancer registries have for decades surveyed the development of
cancer diseases. Data on incident cases includes demographic variables.
Knowledge of the temporal distribution of risk factors on the same
variables makes it possible to model the relationship between disease and
risk factor. The results of such analyses might be difficult to interpret
since they are based on aggregated data. But the availability of these data
sources should encourage further exploration of its possibilities and
limitations. METHODS: The temporal pattern of smoking habits in 5-year
birth cohorts from 1890-1949 was established, with data on the proportions
of current smokers, former smokers and non- smokers and estimated average
daily consumption of tobacco and average duration of smoking. The lung
cancer incidence among the cohorts in 1953-1992 was analysed by a model
which included an additive excess risk for smokers that depended on daily
dose and duration of smoking. RESULTS: The lung cancer incidence in later
decades was adequately described by the model, which showed a simple
relationship with smoking behaviour in the cohorts. For both current
smokers and former smokers, the excess risk was about proportional to the
daily amount smoked and the 4.5 power of duration of smoking. The
age-specific rates for non- smokers were close to a fifth-power curve of
age. CONCLUSIONS: Even if lung cancer incidence is not determined
separately for groups with known smoking habits, plausible estimates of the
effect of smoking can be derived if appropriate information is available on
temporal smoking habits in the population.
Cohort analysis of cigarette smoking and lung cancer incidence among Norwegian women
The Cancer Registry of Norway, Institute for Epidemiological Cancer Research, Montebello, Oslo.
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