Assessment of alcohol intake: Retrospective measures versus a smartphone application

Poulton, Antoinette; Pan, Jason; Bruns, Loren; Sinnott, Richard; Hester, Robert

doi:10.1016/j.addbeh.2017.11.003

Cited by 33 publications

(74 citation statements)

References 33 publications

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“…Seventy percent of participants had AUDIT total scores greater than or equal to 8, approximately 30% had AUDIT scores over 13 (ie, over 1 SD above the mean based on Poulton et al; see Table ). For the SST, the average successful stop rate was 54 %, and participants with SSRT less than 75 ms were excluded from the analysis (nine were excluded from an original sample of 88 participants).…”

Section: Resultsmentioning

confidence: 97%

“…The Alcohol Use Disorders Identification Test (AUDIT) includes standardized measures of alcohol use and of alcohol‐related problems . In a college‐age sample, Poulton et al reported a mean AUDIT score of almost 8 (SD = 5.5), and the AUDIT norms for this cohort should be viewed in this context. Nevertheless, the AUDIT has some advantages over measures that only examine units of alcohol use.…”

Section: Introductionmentioning

confidence: 99%

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Inhibitory‐control event‐related potentials correlate with individual differences in alcohol use

et al. 2019

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Impulsivity is a multidimensional construct that is related to different aspects of alcohol use, abuse, and dependence. Inhibitory control, one facet of impulsivity, can be assayed using the stop-signal task (SST) and quantified behaviorally via the stopsignal reaction time (SSRT) and electrophysiologically using event-related potentials (ERPs). Research on the relationship between alcohol use and SSRTs, and between alcohol use and inhibitory-control ERPs, is mixed. Here, adult alcohol users (n = 79), with a wide range of scores on the Alcohol Use Disorders Identification Test (AUDIT), completed the SST under electroencephalography (EEG) (70% of participants had AUDIT total scores greater than or equal to 8). Other measures, including demographic, self-report, and task-based measures of impulsivity, personality, and psychological factors, were also recorded. A machine-learning method with penalized linear regression was used to correlate individual differences in alcohol use with impulsivity measures. Four separate models were tested, with out-of-sample validation used to quantify performance. ERPs alone statistically predicted alcohol use (cross-validated r = 0.28), with both early and late ERP components contributing to the model (larger N2, but smaller P3, amplitude). Behavioral data from a wide range of impulsivity measures were also associated with alcohol use (r = 0.37). SSRT was a relatively weak statistical predictor, whereas the Stroop interference effect was relatively strong. The addition of nonimpulsivity behavioral measures did not improve the correlation (r = 0.34) and was similar when ERPs were combined with non-ERP data (r = 0.29).These findings show that inhibitory control ERPs are robustly correlated individual differences in alcohol use.

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Section: Resultsmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Inhibitory‐control event‐related potentials correlate with individual differences in alcohol use

et al. 2019

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“…The technology has been applied in several areas, with uses ranging from control of medicine administration, detection and control of diseases, alerting skilled people to handle emergency situations in neighboring areas, assessment of skin lesions, contraception, medical training etc. [1][2][3][4][5][6][7][8][9] It is not clear whether the applications have been submitted to scientific evaluation 5 .…”

Section: Introductionmentioning

confidence: 99%

CardioER® - Using smartphone medical applications as an aid to clinical decision-making – are we ready for this?

Soeiro¹,

Leal²,

Bossa³

et al. 2018

Rev. Assoc. Med. Bras.

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“…A unique ID code, provided to participants during the online component of the study, is required before the app opens. CNLab-A has previously been found to be a valid measure of alcohol intake [27].…”

Section: Cnlab-a Appmentioning

confidence: 99%

“…Although several recent studies have reported promising results with regard to the validity of app-based methods of capturing alcohol intake information [25][26][27], issues related to app protocol compliance and reactivity have received less attention. Compliance refers to the extent to which participants adhere to study requirements/protocols throughout the experimental period, while reactivity describes a process whereby the monitoring of a behaviour results in a change in that behaviour over time [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

A Smartphone App to Assess Alcohol Consumption Behavior: Development, Compliance, and Reactivity (Preprint)

Poulton¹,

Pan²,

Bruns³

et al. 2018

Preprint

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Assessment of alcohol intake: Retrospective measures versus a smartphone application

Cited by 33 publications

References 33 publications

Inhibitory‐control event‐related potentials correlate with individual differences in alcohol use

Inhibitory‐control event‐related potentials correlate with individual differences in alcohol use

CardioER® - Using smartphone medical applications as an aid to clinical decision-making – are we ready for this?

A Smartphone App to Assess Alcohol Consumption Behavior: Development, Compliance, and Reactivity (Preprint)

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