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Hareskov Jensen N, Vallentin-Holbech L, Dash GF, Feldstein Ewing SW, Rømer Thomsen K. Validity of an online, self-administered Timeline Followback for alcohol use with adolescents. Front Psychiatry 2023; 14:1221487. [PMID: 38098631 PMCID: PMC10720705 DOI: 10.3389/fpsyt.2023.1221487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 11/13/2023] [Indexed: 12/17/2023] Open
Abstract
Objective The Timeline Followback (TLFB) is a widely used and well-validated interview-based tool for assessing patterns of recent health risk behavior. There is some evidence of the validity of the TLFB as a self-administered online tool for assessing alcohol use, but further research is needed to establish its validity in younger populations and populations outside the United States. Further, it is unknown how self-administered online TLFB formats compare to more timesaving and commonly used single-item alcohol questions. The primary aim of the current study was to validate a new online, self-administered TLFB for alcohol use against the TLFB interview in a sample of European (Danish) adolescents aged 16-18 years (N = 30). Methods Participants completed a TLFB telephone interview, a self-administered online version of the TLFB, and single-item alcohol questions. Assessments were administered using a within-subject, counter-balanced design. Estimates of number of drinking days, binge-drinking days, maximum drinks consumed on one occasion, total drinks, and drinks per drinking day were compared across metrics. Results All correlations between the drinking outcomes assessed via the TLFB interview and the TLFB online were positive, and statistically significant (rss = 0.86-0.94, p < 0.01). Wilcoxon signed-rank tests showed no significant differences between the TLFB interview and the TLFB online on drinking days, binge drinking days, max drinks, and total drinks. Participants reported drinking significantly more drinks per drinking day on the TLFB online (M = 4.66) compared to on the TLFB interview (M = 4.12; p = 0.009). Conclusion Overall, the results support the validity of the online, self-administered TLFB in a sample of European (Danish) adolescents.
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Affiliation(s)
- Natascha Hareskov Jensen
- Center for Alcohol and Drug Research, Department of Psychology and Behavioral Sciences, Aarhus University, Aarhus, Denmark
| | - Lotte Vallentin-Holbech
- Center for Alcohol and Drug Research, Department of Psychology and Behavioral Sciences, Aarhus University, Aarhus, Denmark
| | - Genevieve F. Dash
- Department of Psychological Sciences, University of Missouri, Columbia, MO, United States
| | - Sarah W. Feldstein Ewing
- Center for Alcohol and Drug Research, Department of Psychology and Behavioral Sciences, Aarhus University, Aarhus, Denmark
- Department of Psychology, University of Rhode Island, Kingston, RI, United States
| | - Kristine Rømer Thomsen
- Center for Alcohol and Drug Research, Department of Psychology and Behavioral Sciences, Aarhus University, Aarhus, Denmark
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Marini C, Northover NS, Gold ND, Rogers UK, O'Donnell KC, Tofighi B, Ross S, Bogenschutz MP. A Systematic Approach to Standardizing Drinking Outcomes From Timeline Followback Data. Subst Abuse 2023; 17:11782218231157558. [PMID: 36923069 PMCID: PMC10009017 DOI: 10.1177/11782218231157558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 01/30/2023] [Indexed: 03/16/2023]
Abstract
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.
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Affiliation(s)
- Christina Marini
- Department of Psychiatry, New York University Grossman School of Medicine, New York, NY, USA
| | - Nicole S Northover
- Department of Psychiatry, New York University Grossman School of Medicine, New York, NY, USA
| | - Noah D Gold
- Department of Psychiatry, New York University Grossman School of Medicine, New York, NY, USA
| | - Ursula K Rogers
- Department of Psychiatry, New York University Grossman School of Medicine, New York, NY, USA
| | - Kelley C O'Donnell
- Department of Psychiatry, New York University Grossman School of Medicine, New York, NY, USA
| | - Babak Tofighi
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA.,Division of General Internal Medicine, Bellevue Hospital Center, New York, NY, USA.,Center for Drug Use and HIV Research
| | - Stephen Ross
- Department of Psychiatry, New York University Grossman School of Medicine, New York, NY, USA
| | - Michael P Bogenschutz
- Department of Psychiatry, New York University Grossman School of Medicine, New York, NY, USA
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Barringer A, Papp LM, Blumenstock SM. Comparing Reported Prescription Drug Misuse between Ecological Momentary Assessment versus Timeline Follow-Back among College Students. Subst Use Misuse 2022; 57:1743-1746. [PMID: 35946138 PMCID: PMC9627698 DOI: 10.1080/10826084.2022.2107668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
Abstract
Background: Accurate assessment of prescription drug misuse (PDM) is critical among young-adult college students, a particularly high-risk group for this substance behavior. No studies have compared assessments of college students' reports of PDM obtained from their reporting in daily life (via ecological momentary assessment; EMA) to their retrospective accounts of PDM over the same period (via timeline follow-back interview; TLFB), an approach that is commonly used in substance use research. Purpose/Objectives: To determine day-level agreement and person-level agreement in college student reports of PDM in EMA versus TLFB methods. Methods: Participants were 297 college freshmen and sophomores (69% female) recruited based on misuse behavior in the past three months. PDM behaviors were captured in daily life using EMA for 28 days and TLFB administered during an in-person lab visit. Agreement was assessed at the person level (any PDM during the 28 days) and day level (PDM on a given day) using Cohen's kappa and percent agreement. Results: PDM was reported more frequently using TLFB compared to EMA. Person-level agreement between the two methods was good (k = 0.62, 95% CI: 0.53, 0.70), whereas day-level agreement was fair (k = 0.23, 95% CI: 0.19, 0.28). Agreement in stimulant misuse reported across methods was more consistent compared to reports of other medication classes. Conclusions: Findings offer implications for the assessment of college student PDM data in substance use research.
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Affiliation(s)
- Alexandra Barringer
- Department of Human Development and Family Studies, University of Wisconsin-Madison, Madison, WI, USA
| | - Lauren M. Papp
- Department of Human Development and Family Studies, University of Wisconsin-Madison, Madison, WI, USA
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Merrill JE, Fan P, Wray TB, Miranda R. Assessment of Alcohol Use and Consequences: Comparison of Data Collected Via Timeline Followback Interview and Daily Reports. J Stud Alcohol Drugs 2020. [PMID: 32359051 DOI: 10.15288/jsad.2020.81.212] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVE The aim of this study was to compare data on both alcohol use and alcohol-related consequences between intensive longitudinal data collection and the retrospective Timeline Followback (TLFB) interview. METHOD Heavy drinking college students (n = 96; 52% women) completed daily reports across a 28-day period to assess alcohol use and positive and negative consequences of drinking. They returned to the lab at the end of this period to complete a TLFB assessing behavior over those same 28 days. First, t tests were used to compare variables aggregated across the full 28 days at the between-person level. Next, hierarchical linear modeling was used to examine within-person differences between methods for each variable in weekly and daily increments. RESULTS Many alcohol use and consequence variables were significantly different when derived from self-reports during TLFB versus daily reports. In contrast to prior work, we found that higher estimates of drinking were reported retrospectively on the TLFB than on the daily reports. In addition, discrepancies were greater on some variables for heavier drinkers and when more time had elapsed between the end of the daily reporting period and TLFB collection. CONCLUSIONS Recall of drinking behavior during TLFB and daily reports may differ in systematic ways, with discrepancies varying based on participant and methodological characteristics.
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Affiliation(s)
- Jennifer E Merrill
- Center for Alcohol and Addiction Studies, Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, Rhode Island
| | - Pengyang Fan
- Center for Alcohol and Addiction Studies, Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, Rhode Island
| | - Tyler B Wray
- Center for Alcohol and Addiction Studies, Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, Rhode Island
| | - Robert Miranda
- Center for Alcohol and Addiction Studies, Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, Rhode Island.,Department of Psychiatry and Human Behavior, Brown University, Providence, Rhode Island
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Ingersoll K, Frederick C, MacDonnell K, Ritterband L, Lord H, Jones B, Truwit L. A Pilot RCT of an Internet Intervention to Reduce the Risk of Alcohol-Exposed Pregnancy. Alcohol Clin Exp Res 2018; 42:1132-1144. [PMID: 29741798 PMCID: PMC5984155 DOI: 10.1111/acer.13635] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2017] [Accepted: 03/18/2018] [Indexed: 01/01/2023]
Abstract
BACKGROUND Preventing alcohol-exposed pregnancies (AEPs) could reduce the incidence of fetal alcohol spectrum disorders. Previous face-to-face interventions significantly reduced risk for AEP, but a scalable intervention is needed to reach more women at risk. METHODS This study compared a 6 Core automated, interactive, and tailored Internet intervention, the Contraception and Alcohol Risk Reduction Internet Intervention (CARRII), to a static patient education (PE) website for its effect on AEP risk. Participants were recruited online to a pilot randomized clinical trial (RCT) with baseline, 9 weeks posttreatment, and 6-month (6-M) follow-up assessments. Seventy-one women completed online questionnaires and telephone interviews and were randomized to CARRII (n = 36) or PE (n = 35). Primary outcomes were rates of risky drinking, unprotected sex episodes, and AEP risk, collected from online prospective diaries. RESULTS CARRII participants showed significant reductions in rate of unprotected sex from pretreatment (88.9%) to posttreatment (70.6%) (p < 0.04) and to 6-M follow-up (51.5%) (p = 0.001); rate of risky drinking from pretreatment (75.0%) to posttreatment (50.0%) (p < 0.02), but insignificant change from pretreatment to 6-M follow-up (57.6%) (p < 0.09); and rate of AEP risk from pretreatment (66.7%) to posttreatment (32.4%) (p = 0.001) and to 6-M follow-up (30.3%) (p = 0.005). PE participants demonstrated no significant changes on all 3 variables across all time points. Intent-to-treat group-by-time tests were not significant, but power was limited by missing diaries. Over 72% of CARRII participants completed all 6 Cores. Exploratory analyses suggest that higher program utilization is related to change. CONCLUSIONS These data show that CARRII was acceptable, feasible, promising to reduce AEP risk, and merits further testing in a fully powered RCT.
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Affiliation(s)
- Karen Ingersoll
- Center for Behavioral Health and Technology, University of Virginia School of Medicine, Charlottesville, Virginia
| | - Christina Frederick
- Center for Behavioral Health and Technology, University of Virginia School of Medicine, Charlottesville, Virginia
| | - Kirsten MacDonnell
- Center for Behavioral Health and Technology, University of Virginia School of Medicine, Charlottesville, Virginia
| | - Lee Ritterband
- Center for Behavioral Health and Technology, University of Virginia School of Medicine, Charlottesville, Virginia
| | - Holly Lord
- Center for Behavioral Health and Technology, University of Virginia School of Medicine, Charlottesville, Virginia
| | - Brogan Jones
- Center for Behavioral Health and Technology, University of Virginia School of Medicine, Charlottesville, Virginia
| | - Lauren Truwit
- Center for Behavioral Health and Technology, University of Virginia School of Medicine, Charlottesville, Virginia
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