• Energy Research

BackgroundResearch on alcohol consumption mostly relies on self‐reported data, which are subject to recall bias. Wearable transdermal alcohol concentration (TAC) monitors address this limitation by continuously measuring the ethanol excreted via the skin. This systematic review aims to provide an overview of TAC monitors’ reliability to detect alcohol consumption and methods to estimate breath alcohol concentration (BrAC) and number of standard drinks consumed in a given time frame.MethodsThe databases MEDLINE, PsycINFO, SCOPUS, Engineering Village, and CINAHL were systematically searched to identify 1,048 empirical research papers published from 2013 onwards, of which 13 were included after full‐text screening. The selected studies included 3 TAC monitors: SCRAM™, WristTAS™, and Skyn™.ResultsTAC measures of SCRAM, WrisTAS, and Skyn are found to be positively correlated with BrAC (r = 0.56 to 0.79) and/or self‐reports (r = 0.62). Using the AMS criteria for detection results in low sensitivity, adjusted criteria can increase the sensitivity of the SCRAM from 39.9 to 68.5%. The WrisTAS and an early prototype of the Skyn showed high failure rates (17 to 38%). Recent advances toward transforming the TAC data into more clinically relevant measures have led to the development of mathematical models and the BrAC Estimator Software. Using TAC data, both approaches produce estimates explaining 70 to 82% of actual BrAC and self‐reported drinking or to highly correlate with the actual BrAC measures (β = 0.90 to 0.91).ConclusionsTransdermal alcohol monitors offer an opportunity to measure alcohol consumption in a valid and continuous way with mathematical models and software estimating BrAC values improving interpretation of TAC data. However, the SCRAM seems unable to detect low‐to‐moderate drinking levels using the thresholds and criteria set by the manufacturer. Moreover, the WrisTAS and the Skyn prototype show a high failure rate, raising questions about reliability. Future studies will assess the validity of new‐generation wristbands, including the next Skyn generations.

IntroductionThe Banned Drinker Register (BDR) was reintroduced in the Northern Territory (NT) in September 2017. The BDR is a supply reduction measure and involves placing people who consume alcohol at harmful levels on a register prohibiting the purchase, possession and consumption of alcohol. The current study aims to evaluate the impacts of the reintroduction of the BDR, in the context of other major alcohol policy initiatives introduced across the NT such as Police Auxiliary Liquor Inspectors and a minimum unit price for alcohol of US$1.30 per standard drink.Methods and analysesThe Learning from Alcohol (policy) Reforms in the Northern Territory project will use a mixed-methods approach and contain four major components: epidemiological analysis of trends over time (outcomes include health, justice and social welfare data); individual-level data linkage including those on the BDR (outcomes include health and justice data); qualitative interviews with key stakeholders in the NT (n≥50); and qualitative interviews among people who are, or were previously, on the BDR, as well as the families and communities connected to those on the BDR (n=150). The impacts of the BDR on epidemiological data will be examined using time series analysis. Linked data will use generalised mixed models to analyse the relationship between outcomes and exposures, utilising appropriate distributions. Qualitative data will be analysed using thematic analysis.Ethics and disseminationEthics approvals have been obtained from NT Department of Health and Menzies School of Health Research Human Research Ethics Committee (HREC), Central Australia HREC and Deakin University HREC. In addition to peer-reviewed publications, we will report our findings to key organisational, policy, government and community stakeholders via conferences, briefings and lay summaries.

AbstractIntroductionBetween 2017 and 2018 three major alcohol policy changes were introduced in the Northern Territory (NT): the Banned Drinker Register, an individual‐level ban enforced via ID scanners at takeaway outlets; a Minimum Unit Price on alcohol; and Police Auxiliary Liquor Inspectors, who monitor takeaway outlets to prevent purchase by people who do not have a legal place to consume alcohol. We aimed to: (i) describe alcohol‐involved adult sexual assault in the NT; and (ii) estimate the impacts of these alcohol policies on police‐recorded adult sexual assault.MethodsWe used victim records for sexual assault where victims were aged 15 years and over. We undertook descriptive analyses for the NT from 2014 to 2020 and used interrupted time series analysis to assess policy impacts across the NT and in Greater Darwin.ResultsIn 2020, the NT adult victimisation rate was 105 per 100,000. A large minority (40%) of adult sexual assaults involved alcohol. Interrupted time series analyses showed no effect of the Banned Drinker Register or Minimum Unit Price on sexual assault across the NT or in Greater Darwin.Discussion and ConclusionsThe rate of adult sexual assaults in the NT is extremely high and many involve alcohol. Neither the Banned Drinker Register or Minimum Unit Price were associated with changes in police‐recorded adult sexual assault in Greater Darwin or across the NT. Due to small counts, we were unable to assess policy impacts in three of the four main towns, highlighting the challenges of assessing impacts of policies on sexual assault in small population areas.

In the context of global declines in alcohol consumption, studies have recently shown that middle-aged women's alcohol use has increased in the past decade. Limited research has focused on this demographic group. We aimed to understand the perspectives of women aged 40-65 years on the role of alcohol in their lives and their motivations for consuming alcohol. We used social practice theory to identify distinctive assemblages of meanings, materials, competences and temporalities relating to alcohol use.We used qualitative methods incorporating Human Centred-Design principles into activity-based workshops. We conducted ten 3-hour workshops with a total of 39 women aged 40-65 years. We coded the transcribed data using the three original components of social practice theory - meanings, materials, competences as well as the fourth component of temporality.Women described their alcohol use as nuanced, with different meanings across contexts and settings. 'Wine o'clock' was the term used by many women to describe the practice of consuming wine as soon as they finished their day's duties. Women appeared conscious of representing their drinking as rational, measured and safe, particularly when discussing weekday use, and drinking alone. Women described it as an act of relaxation, and rationalised it as earned. Alcohol consumption on weekends was strongly tied to social connection. Alcohol was explicitly described as the means to see people socially and was also implicitly present in social gatherings such as lunches, barbecues and dinners on weekends. Although women rejected the notion of experiencing social pressures to consume alcohol, they also described needing excuses for not consuming alcohol, such as partaking in temporary abstinence periods such as Dry July.Our study describes how midlife women use alcohol to demarcate between duty and pleasure and for social connection. Prevention efforts which focus on social connection, relaxation and changing the discourse on alcohol's role in women's social lives may be beneficial for reducing women's alcohol consumption.

New-generation transdermal monitors such as the ION Research Alpha Prototypes (ION RAP) hold promise for real-time alcohol measurement, with improvements in design features such as sampling frequency, size, and comfort. This paper aims to provide the first comparisons of the wrist-worn enzyme-based ION RAP and the fuel cell-based SCRAM-CAM against breath alcohol concentration (BrAC) readings.Participants (N = 23) completed a total of 69 laboratory alcohol administration sessions while wearing both a prototype of the ION RAP wristband and a SCRAM-CAM ankle monitor; they also gave breath samples each 10 min. Analyses focused on latencies of transdermal alcohol concentration (TAC) after alcohol ingestion, correlations, and cross-correlations between BrAC and TAC measurements.A high failure rate of the ION RAP was observed (61.5% of the sessions were excluded due to the sessions not containing enough valid data). On average, the SCRAM-CAM and ION RAP detected alcohol 43 (SD = 21) and 50 (SD = 27) minutes after the first drink, with peak values reached after 138 (SD = 47) and 154 (SD = 56) minutes, respectively. SCRAM-CAM TAC peak (r = 0.185, p = 0.375) and area under the curve (AUC; r = 0.320, p = 0.118) showed small- and medium-sized correlations to BrAC. ION RAP TAC peak (r = -0.082, p = 0.698) and AUC (r = 0.040, p = 0.852) correlations to BrAC were close to zero.In this study, the new-generation ION RAP and the traditionally used SCRAM-CAM show similar delays in detection and similar TAC curves over time, despite using either enzyme- or fuel cell-based technologies, respectively. Due to high failure rates of the ION RAP prototypes and close to zero correlations to BrAC, further developments and improvements of these TAC wristbands are required for reliable and valid use in real-time alcohol measurement.

AbstractIntroductionPrevious studies validating the transdermal alcohol concentration (TAC) as measured by the Secure Continuous Remote Alcohol Monitors Continuous Alcohol Monitoring (SCRAM‐CAM) have tested the monitor against self‐reports or breath alcohol concentration (BrAC). This study aims to provide further evidence of the reliability of the SCRAM‐CAM testing two monitors in parallel.MethodsParticipants (N = 21) received four standard drinks in a laboratory session while wearing SCRAM‐CAMs simultaneously on their left and right ankles. The SCRAM‐CAMs sampled TAC every 30 min and participants were monitored for at least 2–3 h after their BrAC levels reached zero. Weight and height measures were taken to calculate body mass index (BMI).ResultsThere was a positive correlation between the TAC measurements from the left and right SCRAM‐CAM (r = 0.718), a cross‐correlation model revealed that this correlation was not significantly different for sex or BMI. Area under the TAC curve (AUC) and peak TAC values as measured by the left and right SCRAM‐CAM also show positive correlations (r = 0.554 and r = 0.579, respectively). Cross‐correlation models show a significant effect of BMI on the relationship between left and right peak TAC values, which may be due to outlier effects. No further effects were significant for on both peak and AUC values.Discussion and ConclusionsResults show that TAC measured by SCRAM‐CAMs worn on the left and right showed a good correlation, with correlations between AUC and peak TAC values considered to be fair. TAC monitors show promise for use in research settings; however, work is needed testing the reliability of TAC as measured by two TAC monitors.