Inclusion of the birth cohort dimension improved description and explanation of trends in statin use

Maarten J Bijlsma, Eelko Hak, Jens H J Bos, Lolkje T W de Jong-van den Berg, Fanny Janssen

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Abstract

OBJECTIVE: Including the birth cohort dimension improves trend studies of mortality and health. We investigated the effect of including the birth cohort dimension in trend studies of prescription drug use by studying prevalence of statin use among adults.

STUDY DESIGN AND SETTING: Data from a drug prescription database in the Netherlands (IADB.nl) were used to obtain the number of users of statin per 1,000 population (prevalence) in the age range 18-85 years from 1994 to 2008. We applied descriptive graphs and standard age-period-cohort (APC) models.

RESULTS: From 1994 to 2008, the prevalence increased from ∼10 to ∼90 users per 1,000 population, with the peak in prevalence shifting from age 63 to 78 years. The APC model shows patterns that were masked in the age-period (AP) model. The prevalence rate ratio increased from the 1911 birth cohort to the 1930 birth cohort and then declined. Similar for both sexes, adding nonlinear period effects contributed ∼4.4% to reductions in deviance, whereas adding nonlinear birth cohort effects contributed ∼12.9%.

CONCLUSION: Adding the birth cohort dimension to AP analysis is valuable for academic and professional practice as trends can be more accurately described and explained and it can help improve projections of future trends.

Original languageEnglish
Pages (from-to)1052-1060
Number of pages9
JournalJournal of Clinical Epidemiology
Volume65
Issue number10
DOIs
Publication statusPublished - Oct-2012

Keywords

  • Age-period-cohort
  • Trend
  • Drug utilization
  • Statin
  • Pharmacoepidemiology
  • Generalized linear model
  • NATIONAL ALCOHOL SURVEYS
  • 7 EUROPEAN COUNTRIES
  • CONTROLLED TRIAL
  • AGE
  • MORTALITY
  • POPULATION
  • DISEASE
  • LIFE
  • INDIVIDUALS
  • NETHERLANDS

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