A new methodological approach to adjust alcohol exposure distributions to improve the estimation of alcohol-attributable fractions.

ABSTRACT:

Background and aims

To assess the burden of excessive alcohol use, researchers estimate alcohol-attributable fractions (AAFs) routinely. However, under-reporting in survey data can bias these estimates. We present an approach that adjusts for under-reporting in the estimation of AAFs, particularly within subgroups. This framework is a refinement of a previous method conducted by Rehm et al.

Methods

We use a measurement error model to derive the 'true' alcohol distribution from a 'reported' alcohol distribution. The 'true' distribution leverages per-capita sales data to identify the distribution average and then identifies the shape of the distribution with self-reported survey data. Data are from the National Alcohol Survey (NAS), the National Household Survey on Drug Abuse

SUBMITTER: Parish WJ 

PROVIDER: S-EPMC5854478 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature