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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...

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Published in:Alcohol & Alcoholism Vol. 53; no. 5; pp. 586 - 597
Main Authors: Kopra, Juho, Mäkelä, Pia, Tolonen, Hanna, Jousilahti, Pekka, Karvanen, Juha
Format: equations & formulas questionnaire/scale research tables/charts Journal Article
Published: Oxford University Press / USA Sep2018
Online Access:View this record in EBSCOhost
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      jtl: Alcohol & Alcoholism
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      dt: Sep2018
      vid: 53
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      pub: Oxford University Press / USA
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        131384432
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        10.1093/alcalc/agy019
        131384432
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      tig:
        atl: Follow-Up Data Improve the Estimation of the Prevalence of Heavy Alcohol Consumption.
      aug:
        au:
          Kopra, Juho
          Mäkelä, Pia
          Tolonen, Hanna
          Jousilahti, Pekka
          Karvanen, Juha
        affil: Department of Mathematics and Statistics, University of Jyvaskyla, Finland
      sug:
        subj:
          Alcohol Abuse Epidemiology
          Prevalence
          Surveys
          Morbidity
          Alcohol Abuse Mortality
          Registries, Disease
          Alcohol-Related Disorders Diagnosis
          Alcohol Abuse Diagnosis
          Male
          Female
          Sex Factors
          Models, Theoretical
          Human
          Finland
          Male
          Female
      ab: 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.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        questionnaire/scale
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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