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A Systematic Approach to Standardizing Drinking Outcomes From Timeline Followback Data
OBJECTIVE: The timeline followback (TLFB) interview is the gold standard for the quantitative assessment of alcohol use. However, self-reported “drinks” can vary in alcohol content. If this variability is not accounted for, it can compromise the reliability and validity of TLFB data. To improve the...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10009017/ https://www.ncbi.nlm.nih.gov/pubmed/36923069 http://dx.doi.org/10.1177/11782218231157558 |
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author | Marini, Christina Northover, Nicole S Gold, Noah D Rogers, Ursula K O’Donnell, Kelley C Tofighi, Babak Ross, Stephen Bogenschutz, Michael P |
author_facet | Marini, Christina Northover, Nicole S Gold, Noah D Rogers, Ursula K O’Donnell, Kelley C Tofighi, Babak Ross, Stephen Bogenschutz, Michael P |
author_sort | Marini, Christina |
collection | PubMed |
description | OBJECTIVE: The timeline followback (TLFB) interview is the gold standard for the quantitative assessment of alcohol use. However, self-reported “drinks” can vary in alcohol content. If this variability is not accounted for, it can compromise the reliability and validity of TLFB data. To improve the precision of the TLFB data, we developed a detailed standard operating procedure (SOP) to calculate standard drinks more accurately from participant reports. METHOD: For the new SOP, the volume and alcohol content by volume (ABV) of distinct types of alcoholic beverages were determined based on product websites and other reliable sources. Recipes for specific cocktails were constructed based on recipes from bartending education websites. One standard drink was defined as 0.6 oz (14 g) of absolute alcohol. Standard drink totals were contrasted for the new SOP approach and the standard procedure, which generally assumed that one self-reported drink was equivalent to one standard drink. RESULTS: Relative to the standard TLFB procedure, higher numbers of standard drinks were reported after implementing the TLFB SOP. CONCLUSIONS: Variability in procedures for conversion of self-reported alcohol consumption to standard drinks can confound the interpretation of TLFB data. The use and reporting of a detailed SOP can significantly reduce the potential for such inconsistencies. Detailed and consistent procedures for calculation of standard drinks can enhance the quality of TLFB drinking data. |
format | Online Article Text |
id | pubmed-10009017 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-100090172023-03-14 A Systematic Approach to Standardizing Drinking Outcomes From Timeline Followback Data Marini, Christina Northover, Nicole S Gold, Noah D Rogers, Ursula K O’Donnell, Kelley C Tofighi, Babak Ross, Stephen Bogenschutz, Michael P Subst Abuse Methodology OBJECTIVE: The timeline followback (TLFB) interview is the gold standard for the quantitative assessment of alcohol use. However, self-reported “drinks” can vary in alcohol content. If this variability is not accounted for, it can compromise the reliability and validity of TLFB data. To improve the precision of the TLFB data, we developed a detailed standard operating procedure (SOP) to calculate standard drinks more accurately from participant reports. METHOD: For the new SOP, the volume and alcohol content by volume (ABV) of distinct types of alcoholic beverages were determined based on product websites and other reliable sources. Recipes for specific cocktails were constructed based on recipes from bartending education websites. One standard drink was defined as 0.6 oz (14 g) of absolute alcohol. Standard drink totals were contrasted for the new SOP approach and the standard procedure, which generally assumed that one self-reported drink was equivalent to one standard drink. RESULTS: Relative to the standard TLFB procedure, higher numbers of standard drinks were reported after implementing the TLFB SOP. CONCLUSIONS: Variability in procedures for conversion of self-reported alcohol consumption to standard drinks can confound the interpretation of TLFB data. The use and reporting of a detailed SOP can significantly reduce the potential for such inconsistencies. Detailed and consistent procedures for calculation of standard drinks can enhance the quality of TLFB drinking data. SAGE Publications 2023-03-11 /pmc/articles/PMC10009017/ /pubmed/36923069 http://dx.doi.org/10.1177/11782218231157558 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page(https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Methodology Marini, Christina Northover, Nicole S Gold, Noah D Rogers, Ursula K O’Donnell, Kelley C Tofighi, Babak Ross, Stephen Bogenschutz, Michael P A Systematic Approach to Standardizing Drinking Outcomes From Timeline Followback Data |
title | A Systematic Approach to Standardizing Drinking Outcomes From Timeline Followback Data |
title_full | A Systematic Approach to Standardizing Drinking Outcomes From Timeline Followback Data |
title_fullStr | A Systematic Approach to Standardizing Drinking Outcomes From Timeline Followback Data |
title_full_unstemmed | A Systematic Approach to Standardizing Drinking Outcomes From Timeline Followback Data |
title_short | A Systematic Approach to Standardizing Drinking Outcomes From Timeline Followback Data |
title_sort | systematic approach to standardizing drinking outcomes from timeline followback data |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10009017/ https://www.ncbi.nlm.nih.gov/pubmed/36923069 http://dx.doi.org/10.1177/11782218231157558 |
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