Follow-up data improve the estimation of the prevalence of heavy alcohol consumption


Aims We aim to adjust for potential non-participation bias in the prevalence of heavy alcohol consumption. Methods Population survey data from Finnish health examination surveys conducted in 1987–2007 were linked to the administrative registers for mortality and morbidity follow-up until end of 2014. Utilising these data, available for both participants and non-participants, we model the association between heavy alcohol consumption and alcohol-related disease diagnoses. Results Our results show that the estimated prevalence of heavy alcohol consumption is on average of 1.5 times higher for men and 1.8 times higher for women than what was obtained from participants only (complete case analysis). The magnitude of the difference in the mean estimates by year varies from 0 to 9 percentage points for men and from 0 to 2 percentage points for women. Conclusion The proposed approach improves the prevalence estimation but requires follow-up data on non-participants and Bayesian modelling.

Alcohol and Alcoholism, 53(5), pp. 586-596

Supplementary notes can be added here, including code and math.

Source Themes
Juho Kopra
University Lecturer of Statistics

My research interests include Bayesian statistical methods, applied statistics for problems with high societal impact.