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Biomedical subjects

E Schifflers

Publications and source records attributed to E Schifflers.

7 recordsLinked to original sources
PubMed1987

Tobacco and occupation as risk factors in bladder cancer: a case-control study in southern Belgium.

A pilot case-control study on bladder cancer, with population-based controls matched for each of 74 cases, has been conducted in two industrial areas of Southern Belgium in order to analyze the influence of tobacco use and occupation. Observed bladder cancer risk for smokers is more than 5 times higher than that for non-smokers, and the risk for people having an a priori hazardous occupation is about 3.5 times higher than that of other subjects. A dose-response relationship was found for tobacco exposure and duration of employment. It seems that the risk is increased in a log-linear way by these variables. Population attributable risks show that in 20 cases of bladder cancer, 17 could be explained by the two factors combined. This study also reveals an increased risk for metal workers, truck and engine drivers, coal-miners, and rubber and coal-tar workers. The risk for metal workers is specially high in the case of turners, metal fitters, blacksmiths, stokers and workers exposed to hot metal.

Adult↗
PubMed1987

Models for temporal variation in cancer rates. I: Age-period and age-cohort models.

A main concern of descriptive epidemiologists is the presentation and interpretation of temporal variations in cancer rates. In its simplest form, this problem is that of the analysis of a set of rates arranged in a two-way table by age group and calendar period. We review the modern approach to the analysis of such data which justifies traditional methods of age standardization in terms of the multiplicative risk model. We discuss the use of this model when the temporal variations are due to purely secular (period) influences and when they are attributable to generational (cohort) influences. Finally we demonstrate the serious difficulties which attend the interpretation of regular trends. The methods described are illustrated by examples for incidence rates of bladder cancer in Birmingham, U.K., mortality from bladder cancer in Italy, and mortality from lung cancer in Belgium.

Adult↗
PubMed1987

Models for temporal variation in cancer rates. II: Age-period-cohort models.

Our first paper reviewed methods for modelling variation in cancer incidence and mortality rates in terms of either period effects or cohort effects in the general multiplicative risk model. There we drew attention to the difficulty of attributing regular trends to either period or cohort influences. In this paper we turn to the more realistic problem in which neither period nor cohort effects alone lead to an adequate description of the data. We describe the age-period-cohort model and show how its ambiguities surrounding regular trends 'intensify'. We recommend methods for presenting the results of analyses based upon this model which minimize the serious risk of misleading implications and critically review previous suggestions. The discussion is illustrated by an analysis of breast cancer mortality in Japan with special reference to the phenomenon of 'Clemmesen's hook'.

Age Factors↗
PubMedDate not supplied

Birth cohort analysis using irregular cross-sectional data: a technical note.

Cancer mortality and morbidity data are usually collected and published by calendar time period and by age class. Transformation of the age-specific incidence or mortality rates into those for birth cohorts is readily undertaken when one age class of each time period corresponds to a given cohort: a requirement that is often not satisfied. The authors propose a method for the computation of birth cohort age-specific incidence rates given irregular cross-sectional data. The procedure is based on a cross-sectional interpolation of cumulated population and case figures, from which cohort rates can be derived. Using the method several examples of trends in cancer incidence by birth cohort are discussed.

Adolescent↗