Résumé :
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[BDSP. Notice produite par INIST 36rR0xw3. Diffusion soumise à autorisation]. Study objective-Control group characteristics as comorbidity and chronic psychosocial problems may play an important part in study outcomes. A primary care data base was used to quantify the effects of varying the case mix of participants. Design-Historical cohort study. Setting-Data were collected from 1967-1996 in four Dutch general practices performing the Continuous Morbidity Registration Nijmegen. Patients and controls-All newly diagnosed type 2 diabetic patients in the period 1967-1989 fulfilling the WHO criteria (n=265) ; for each type 2 diabetic patient a control was matched for practice, sex, age, and social class ; from these controls subgroups were selected based on the absence of different types of morbidity ; these subgroups were also matched for practice, sex, age, and social class. Main results-The relative risk of mortality in type 2 diabetic patients in comparison with various subsets of controls ranged from 1.33 (95% CI 0.97,1.81) to 2.16 (95% CI 1.46,3.20). Conclusion-Control group characteristics as comorbidity and chronic psychosocial problems turned out to influence the risk estimation in a cohort study. General practice data enhance the study of these aspects.
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