11 research outputs found

    ā€œI have no clue what I drunk last nightā€ Using Smartphone technology to compare in-vivo and retrospective self-reports of alcohol consumption.

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    This research compared real-time measurements of alcohol consumption with retrospective accounts of alcohol consumption to examine possible discrepancies between, and contextual influences on, the different accounts.Building on previous investigations, a specifically designed Smartphone technology was utilized to measure alcohol consumption and contextual influences in de facto real-time. Real-time data (a total of 10,560 data points relating to type and number of drinks and current social / environmental context) were compared with daily and weekly retrospective accounts of alcohol consumption.Participants reported consuming more alcoholic drinks during real-time assessment than retrospectively. For daily accounts a higher number of drinks consumed in real-time was related to a higher discrepancy between real-time and retrospective accounts. This effect was found across all drink types but was not shaped by social and environmental contexts. Higher in-vivo alcohol consumption appeared to be related to a higher discrepancy in retrospectively reported weekly consumption for alcohol beverage types other than wine. When including contextual factors into the statistical models, being with two or more friends (as opposed to being alone) decreased the discrepancy between real-time and retrospective reports, whilst being in the pub (relative to being at home) was associated with greater discrepancies.Overall, retrospective accounts may underestimate the amount of actual, real-time alcohol consumed. Increased consumption may also exacerbate differences between real-time and retrospective accounts. Nonetheless, this is not a global effect as environmental and social contexts interact with the type of alcohol consumed and the time frame given for reporting (weekly vs. daily retrospective). A degree of caution therefore appears warranted with regards to the use of retrospective self-report methods of recording alcohol consumption. Whilst real-time sampling is unlikely to be completely error free, it may be better able to account for social and environmental influences on self-reported consumption

    The relationship between methamphetamine and alcohol use in a community sample of methamphetamine users

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    BACKGROUND: While methamphetamine (MA) and alcohol are often used in combination, little is known about the pattern of co-use between these substances. The goal of the present study is to examine the relationship between MA use and alcohol use in a community sample of non-treatment seeking regular MA users. METHODS: Participants completed a face-to-face assessment battery, which included a diagnostic interview for MA dependence and the Timeline Follow-Back interview for both alcohol and MA use over the past 30 days. Sixty regular MA and alcohol users supplied data for 1800 person-days. RESULTS: Compared with non-drinking days, drinking days and binge drinking days increased the odds of same day MA use by 4.22 and 4.50 times, respectively (pā€™s < 0.0001). Further, binge drinking incrementally increased risk for MA use above and beyond the effects of drinking itself (p < 0.0001). Lagged models revealed previous day MA use to predict following day MA use (p < 0.0001), yet, after controlling for this relationship, neither previous day alcohol use nor previous day binge drinking predicted following-day MA use. Finally, the effect of binge drinking on MA use was stronger among individuals with lower MA dependence severity or higher alcohol problem severity (pā€™s < 0.05). CONCLUSIONS: These results suggest that alcohol and MA are co-used in predictable patterns, and in particular, that binge drinking may be incrementally associated with the likelihood of MA use. Future studies are needed to explore the temporal relationship between alcohol and MA use within a given episode
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