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RESEARCH PRODUCT

Follow-Up Data Improve the Estimation of the Prevalence of Heavy Alcohol Consumption.

Juha KarvanenJuho KopraHanna TolonenPekka JousilahtiPia Mäkelä

subject

AdultData AnalysisMaleAlcohol Drinking030508 substance abuseongelmakäyttöheavy drinking03 medical and health sciencesHealth examination0302 clinical medicineEnvironmental healthfollow-upPrevalenceMedicineHumans030212 general & internal medicineRegistriesFinlandPopulation surveyAgedEstimationta112Heavy drinkingbusiness.industryFollow up studiesPercentage pointta3142General MedicineMiddle Agedalcohol drinkingHealth SurveysFemaleseurantatutkimusalkoholinkäyttö0305 other medical sciencebusinessAlcohol consumptionAlcohol-Related Disorderssurvey-tutkimusCase analysisFollow-Up Studies

description

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. peerReviewed

yearjournalcountryeditionlanguage
2018-01-01Alcohol and alcoholism (Oxford, Oxfordshire)
10.1093/alcalc/agy019https://pubmed.ncbi.nlm.nih.gov/29590313