Decisional style, sleepiness, and online responsiveness.

As sleep problems can impair quality of work, an online questionnaire was used to examine relationships between sleepiness and decision making while obtaining unobtrusive indices of performance. Participants (N = 344) completed the Insomnia Severity Index, Epworth Sleepiness Scale, and the Melbourne Decision Making Questionnaire in a Qualtrics survey while reporting mobile phone use. Qualtrics recorded the time and the number of clicks required to complete each page of the survey. Multiple regression indicated that insomnia was associated with daytime sleepiness and Hypervigilance, and mobile phone use before bed. Participants with moderate sleepiness required a greater number of clicks to complete the questionnaire. Greater sleepiness was associated with longer times to complete these self-assessment tasks. Clinically significant sleepiness produces changes in performance that can be detected from online responsivity. As sleepy individuals can be appreciably and quantitatively slower in performing subjective self-assessment tasks, this argues for objective measures of sleepiness and automated interventions and the design of systems that allow better quality sleep.Practitioner summary: Work can require processing of electronic messages, but 24/7 accessibility increases workload, causes fatigue and potentially creates security risks. Although most studies use people's self-reports, this study monitors time and clicks required to complete self-assessment rating scales. Sleepiness affected online responsivity, decreasing online accuracy and increasing response times and hypervigilance.

Barriers to sleep in acute hospital settings.

OBJECTIVE: This study aimed to examine the environmental and operational factors that disrupt sleep in the acute, non-ICU hospital setting. DESIGN, SETTING AND PARTICIPANTS: This was a prospective study of adult patients admitted to an acute tertiary hospital ward (shared versus single room) and sleep laboratory (single room conducive to sleep). MAIN OUTCOME MEASURES: This study measured ambient light (lux) and sound (dB), number of operational interruptions, and questionnaires assessing sleep and mental health. RESULTS: Sixty patients were enrolled, 20 in a double bedroom located close to the nursing station ('shared ward'), 20 in a single bedroom located distant to the nursing station ('single ward') and 20 attending the sleep laboratory for overnight polysomnography ('sleep laboratory'). Sleep was disturbed in 45% of patients in the shared and single ward groups (Pittsburgh Sleep Quality Index > 5). Light levels were appropriately low across all 3 locations. Sound levels (significant effect of room F(1.38) = 6.452, p = 0.015) and operational interruptions (shared ward 5.6 ± 2.5, single ward 6.2 ± 2.9, sleep laboratory 2.7 ± 2.1 per night, p < 0.05 wards compared to sleep laboratory) were higher in the shared and single ward group compared to the sleep laboratory but not compared to each other. Noise was rated as the greatest environmental disturbance by 70% of ward patients compared to 10% in the sleep laboratory. CONCLUSION: Higher noise levels and frequent operational interruptions are potential barriers to sleep and recovery on an acute medical ward which are not ameliorated by being in a single bedroom located distant to the nursing station.

Sleep disturbance in clients attending a specialist addiction clinic.

BACKGROUND AND OBJECTIVES: Sleep problems are common among clients attending alcohol and drug services, yet the specific components of sleep disturbed by primary drug of concern (PDOC), and their relationships to affective disorder symptoms are unclear. METHODS: We examined sleep problems in clients (n = 32) attending a specialist addiction clinic. RESULTS: Global sleep quality was rated poor by >90% of participants (particularly disturbances, latency and efficiency components), with significant associations (p < .05) between poor sleep quality and depression (r = .517), anxiety (r = .571) and stress (r = .503). Sleep quality was significantly poorer among those with a nonalcohol PDOC compared with alcohol as PDOC, t(22) = 3.09, p = .005. CONCLUSION AND SCIENTIFIC SIGNIFICANCE: Poor sleep is almost ubiquitous among clients attending alcohol and drug services. However, components of sleep quality disturbed differ in terms of PDOC, highlighting the need for individualised sleep interventions.

Clinician and patient barriers to the recognition of insomnia in family practice: a narrative summary of reported literature analysed using the theoretical domains framework.

BACKGROUND: Insomnia is a common sleep complaint, with 10% of adults in the general population experiencing insomnia disorder, defined as lasting longer than three months in DSM-5. Up to 50% of patients attending family practice experience insomnia, however despite this, symptoms of insomnia are not often screened for, or discussed within this setting. We aimed to examine barriers to the assessment and diagnosis of insomnia in family practice from both the clinician and patient perspective. METHODS: The present article identified research that has examined barriers to assessing insomnia from the clinician's and the client's perspectives following MEDLINE and Google Scholar searches, and then classified these barriers using the theoretical domains framework. RESULTS: The most common barriers from the clinician's perspective were related to Knowledge, Skills, and the Environmental Context. From the patient perspective, barriers identified included their Beliefs about the consequences of Insomnia, Social Influences, and Behavioural Regulation of Symptoms. CONCLUSIONS: Utilising this theoretical framework, we discuss options for bridging the gap between the identification and subsequent management of insomnia within the family practice setting. To assist clinicians and those in community health care to overcome the Knowledge and Skills barriers identified, this article provides existing relevant clinical criteria that can be utilised to make a valid diagnosis of insomnia.

Alcohol supply as a favour for a friend: Scenarios of alcohol supply to younger friends and siblings.

ISSUES ADDRESSED: Adolescents under the legal purchase age primarily source their alcohol through social networks. This study assessed the provision context from the perspective of both underage recipients and their suppliers who were older peers and siblings. METHODS: Interviewer-administered surveys were conducted with 590 risky-drinking (50 g alcohol per session, at least monthly) adolescents. Participants of legal purchase age (18- to 19-year-olds; n = 269) reported their provision to 16- to 17-year-olds under eight scenarios. Those aged 14-17 (n = 321) reported receipt of alcohol under the same scenarios plus two parental supply contexts. RESULTS: Purchase-age participants reported supply: to an underage friend (67%), an acquaintance (44%) or a sibling (16%) to drink at the same party; to a friend (43%) or sibling (20%) to take to another party (20%) and to a stranger near a bottle shop (5%). Supply to a friend at the same party was more likely if money was exchanged (60% vs 40%; P < 0.001). Almost all (98%) 14- to 17-year-olds reported receiving alcohol from an adult (including 36% from a parent for consumption away from the parent), with a similar pattern of receipt scenarios as those reported by the 18- to 19-year-olds. CONCLUSIONS: Provision of alcohol was more frequent with a friend than a sibling or stranger, in close environmental proximity, and if money was exchanged. SO WHAT?: As supply may be sensitive to monetary considerations, the incidence of underage receipt may be affected by community-wide pricing measures. Traditional alcohol availability regulations should be supplemented by strategies relating to the social nature of supply and demand.

Cannabis, Decision-Making, and Online Assistance Seeking.

BACKGROUND AND OBJECTIVES: Maladaptive decision-making strategies could contribute to cannabis-related problems, as some individuals may neither select safe patterns of cannabis use, nor seek treatment. METHODS: To explore decision-making styles and their relationship to cannabis-related harm, 153 respondents completed the Cannabis Use Disorders Identification Test-Revised (CUDIT-R), the Melbourne Decision Making Questionnaire (MDMQ), and answered questions about their willingness to seek online: (1) further information or (2) treatment for cannabis-related issues. RESULTS: Multiple regression considered relationships between problematic cannabis use, decision-making style, and cannabis use within the past month. Subscales of the CUDIT-R revealed that: (1) hazardous use was associated with higher hypervigilance and higher decisional self-esteem; (2) dependence symptoms were associated with lower vigilance and higher procrastination; and (3) harmful use was associated with higher procrastination. People with symptoms of CUD were less likely to seek further help or support online if prone to procrastination or buckpasssing. DISCUSSION AND CONCLUSIONS: Decisional style influenced cannabis use and symptoms. Those people with cannabis-related problems that did not seek online assistance were defensively avoidant. SCIENTIFIC SIGNIFICANCE: Procrastination is a feature of problematic cannabis use. Online offers of assistance may be ignored by defensively avoidant CUD clients. (Am J Addict 2019;00:1-7).

Sleep- and Wake-Promoting Drugs: Where Are They Being Sourced, and What Is Their Impact?

Background: Recent decades have seen both an increased number of shift workers in order to deliver services 24/7, and increased potential for social interactions at all hours of the day. People have sought to engage in strategies, which either promote vigilance or facilitate sleep, with the use of sleep- and wake-promoting drugs representing one strategy. Methods: We investigated use of sleep- and wake-promoting drugs in participants (n = 377) who completed a survey investigating the type and source of sleep- and wake-promoting drugs, and their impact on sleep and performance outcomes. Results: The most commonly reported wake-promoting drugs were amphetamine and dextroamphetamin salts, modafinil, and illicit substances including methamphetamine and cocaine, while the most commonly reported sleep-promoting drugs were benzodiazepines and antihistamines. Use of a sleep-promoting drug in the past month was associated with higher odds of having poorer sleep quality (OR = 3.15) and moderate-high insomnia (OR = 3.30), while use of a wake-promoting drug was associated with poor sleep quality (OR = 3.76), or making a fatigue-related error (OR = 2.65). Conclusions: These findings represent novel data on the use and source of sleep- and wake-promoting- drugs, and suggest that despite their use, poor sleep and performance outcomes persist, likely representing individuals struggling to keep up with the 24/7 world.

The effects of acute alcohol withdrawal on sleep.

OBJECTIVES: Although sleep disturbances are prominent during alcohol withdrawal, less is known about the specific components of sleep that are disturbed prior to and during acute detoxification. This study aimed to determine whether specific sleep components are affected prior to and during acute detoxification and their relationship to psychological distress. METHODS: Twenty-nine participants were recruited from a residential detoxification service in Melbourne, Australia, and completed both subjective methods of sleep and distress, in addition to wearing an actigraphy device. RESULTS: Daytime dysfunction, sleep quality, and sleep disturbances were the components that were most disturbed in the month prior to admission, and poor sleep efficiency was detected during acute withdrawal using actigraphy. A significant association was found between sleep and psychological distress in this group. CONCLUSIONS: Specific disturbances in sleep are experienced prior to and during acute alcohol withdrawal, suggesting that tailored interventions may be effective in the treatment of sleep deficits during these periods.

Risky Alcohol Consumption and Online Activity Levels.

University students engage in risky patterns of alcohol consumption, which may affect their health and performance at university. This study provides a novel analysis which tracked students' interaction with online course materials over time, and examined associations between online activity and alcohol related harm (as indicated by the Alcohol Use Disorders Identification Test). Study 1 tracked 63 undergraduate psychology students in the second half of a semester and found risky drinking behaviors were marginally related to reductions in online study activity. Study 2 tracked 88 undergraduate psychology students in the first half of a semester. Risky drinking behaviors were associated with less online activity after midday. Students reporting more alcohol related harm were less likely to login between 7 pm and midnight, and between 1 am and 6 am. This study demonstrates a potential sensitivity of online activity levels to alcohol use.

Pre-Drinking Behavior of Young Heavy Drinkers.

BACKGROUND: Pre-drinking has been linked to subsequent heavy drinking and the engagement in multiple risky behaviors. OBJECTIVES: The present study examined a group of adolescents who recently had a "big night out" to determine whether there were differences in their pre-drinking behavior based on age, gender, geographic location, and social setting. METHODS: Participants (n = 351, aged 16-19) representing the heaviest 20-25% of drinkers in their age group were recruited using nonrandom sampling from metropolitan (Melbourne, Sydney, Perth) or regional (Bunbury) locations across Australia and administered a survey by a trained interviewer. RESULTS: Almost half the sample pre-drank (n = 149), most commonly at a friend's house. Those aged 18-19 were more likely to pre-drink, and did so at higher quantities compared to their younger counterparts. Males and females reported similar pre-drinking duration, quantity and amount spent on alcohol. Compared to those in cities, regional participants consumed greater quantities over longer periods of time. Two-thirds of participants consumed alcohol in excess of national guidelines during their pre-drinking session. These participants were more likely to nominate price as a motivation to pre-drink and were less likely to report that someone else provided them alcohol. CONCLUSIONS: This study sheds light on the pre-drinking habits of a population of young risky drinkers, and highlights the need for policy makers to address this form of drinking to reduce alcohol-related harm among young people.

Decision-making style, nicotine and caffeine use and dependence.

RATIONALE: As therapeutic interventions are being developed utilising telehealth and mobile phones, it is important to understand how substance-dependent individuals will respond to offers of online assistance. OBJECTIVES: The present paper considered the following: (1) how decision-making style is associated with use and dependence upon commonly used stimulants and (2) how it influences behavioural responses to electronic offers of further information about these drugs. METHOD: An online survey examined patterns of nicotine and caffeine use, administered Severity of Dependence Scales for caffeine and nicotine and assessed decision-making style using the Melbourne Decision Making Questionnaire and mood using the Kessler Distress Scale. Upon completing these scales, the 181 participants with a mean age of 28.14 years were offered further information online. RESULTS: Stimulant dependence was associated with psychological distress. Caffeine dependence was linked to hypervigilance (panic). Decisional self-esteem varied with stimulant dependence and Kessler Distress Scale score. Participants with high decisional self-esteem declined electronic offers of further information. CONCLUSION: Confidence rather than defensive avoidance was a factor in reducing information-seeking behaviours on the Internet.

Risky drug use and effects on sleep quality and daytime sleepiness.

OBJECTIVE: Sleep problems are commonly reported following alcohol and cannabis abuse, but our understanding of sleep in non-clinical drug using populations is limited. The present study examined the sleep characteristics of alcohol and cannabis users recruited from the wider community. METHODS: Two hundred forty-eight self-identified alcohol and/or cannabis users (131 women and 117 men) with a mean age of 26.41 years completed an online study that was advertised via online forums, print media and flyers. As part of the study, participants completed validated sleep scales assessing sleep quality (Pittsburgh Sleep Quality Index) and excessive daytime sleepiness (Epworth Sleepiness Scale) in addition to validated drug scales assessing alcohol (Alcohol Use Disorders Identification Test) and cannabis (Marijuana Screening Inventory) use. RESULTS: Problems with sleep quality were more commonly reported than were complaints of excessive daytime sleepiness. Clinically significant poor sleep quality was associated with comorbid problem alcohol and cannabis use. Women reporting problem alcohol and cannabis use had poorer sleep outcomes than men. CONCLUSIONS: Social drug users who report risky alcohol and cannabis use also report poor sleep. Poor sleep quality likely exacerbates any drug-associated problems in non-clinical populations.

Using ambulance surveillance data to characterise blood-borne viral infection histories among patients presenting with acute alcohol and other drug-related harms.

OBJECTIVE: Preventable transmission of blood-borne viruses (BBV), including human immunodeficiency virus (HIV), hepatitis C virus (HCV) and hepatitis B virus (HBV), continue in at-risk populations, including people who use alcohol and drugs (AODs). To our knowledge, no studies have explored the use of ambulance data for surveillance of AOD harms in patients with BBV infections. METHODS: We used electronic patient care records from the National Ambulance Surveillance System for people who were attended by an ambulance in Victoria, Australia between July 2015 and July 2016 for AOD-related harms, and with identified history of a BBV infection. Descriptive and geospatial analyses explored the epidemiological and psychosocial characteristics of patients for these attendances. RESULTS: The present study included 1832 patients with a history of a BBV infection who required an ambulance for AOD-related harms. Amphetamines were reported in 24.7% of attendances where the patient identified HIV history, and heroin was reported more often for patients with viral hepatitis history (HCV: 19.2%; HBV: 12.7%). Higher proportions of attendances with a viral hepatitis history were observed in patients from the most socially disadvantaged areas. Geospatial analyses revealed higher concentrations of AOD attendances with a BBV history occurring in metropolitan Melbourne. CONCLUSIONS: Our study describes the utility of ambulance data to identify a sub-population of patients with a BBV history and complex medical and social characteristics. Repeat attendances of BBV history patients to paramedics could present an opportunity for ongoing surveillance using ambulance data and possible paramedic intervention, with potential linkage to appropriate BBV services.

Trait anger as a predictor of dangerous driving behaviour amongst people who use methamphetamine.

INTRODUCTION: Despite increased prevalence of methamphetamine in road trauma, it remains unclear how its use translates to an increased risk of traffic-related harm. Exploration of psychosocial factors may thus help identify relevant predictors of dangerous driving behaviour among people who regularly consume methamphetamine. METHODS: Licenced individuals who report predominant and sustained methamphetamine use (at least 1-time/month for 6 months at heaviest use) were recruited from the Australian community and via targeted campaign (Eastern Health). Psychosocial, substance use and driving behaviour data (Dula Dangerous Driving Index, DDDI) were collected via a secure anonymous online forced-entry survey platform (Qualtrics). RESULTS: Seventy-seven individuals (65.5 % male) aged between 20-50 years [mean = 29.7, ± Standard Deviation (SD) 6.1] were included. Most (90 %) respondents met criteria for problematic methamphetamine use [Severity of Dependency Scale (SDS) score ≥ 5], and 75 % were high-risk alcohol consumers [Alcohol Use Disorders Identification Test (AUDIT-C) score ≥ 4 for men and ≥ 3 for women]. On average, age of first methamphetamine use occurred at 23.3 years (±5.2). A best-possible subset's regression selection method with dangerous driving behaviour as the dependent variable determined the model with three predictors (alcohol use, substance dependence severity and trait anger) as most parsimonious. After controlling for substance use, trait anger strongly and positively predicted dangerous driving behaviour as measured by the DDDI ([F(3,74) = 26.06, p < .001, adjusted R2 = 0.50, Cohens f2 = 0.42). DISCUSSION AND CONCLUSIONS: Trait anger is a strong predictor of risky driving among road users who use methamphetamine. Interactions between stable negative-emotional and situational traffic and driving-related factors may increase risk of harm through greater engagement in risk-taking behaviour.

The impact of the COVID-19 pandemic on calls to an alcohol and drug helpline in Victoria, Australia, for alcohol, methamphetamine and cannabis use concerns.

INTRODUCTION: Helplines are often the first contact with the alcohol and other drug (AOD) treatment system. We examined call data from an AOD helpline in Victoria, Australia, to explore the association between COVID-19 lockdown measures and frequency of calls. METHODS: This was a retrospective analysis of AOD helpline data collected between January 2018 and September 2020, for alcohol, methamphetamine and cannabis use concerns. Linear and logistic regression analyses examined differences in pre-COVID-19 (January 2018 to March 2020) and during COVID-19 (March 2020 to September 2020) caller characteristics, and interrupted time-series analyses examined changes in frequency of calls relative to lockdown measures. RESULTS: There were 14,340 calls for alcohol (n = 10,196, 71.10%), methamphetamine (n = 2522, 17.59%) and cannabis (n = 1622, 11.31%). Relative to pre-COVID-19, during COVID-19 there was an increase in the rate of change over time in number of alcohol calls (b = 0.39), increase in first-time alcohol callers (OR = 1.29), and reduction in first-time methamphetamine callers (OR = 0.80). During COVID-19, alcohol callers had lower Socio-Economic Indicators for Areas scores (b = -3.06) and cannabis callers were younger (b = -2.07). During COVID-19, there were reductions in alcohol calls involving counselling/support (OR = 0.87) and information provision (OR = 0.87), cannabis calls involving information provision (OR = 0.71) and methamphetamine calls involving referral (OR = 0.80). DISCUSSION AND CONCLUSIONS: In the first 6 months of the pandemic, frequency of alcohol-related calls increased over time, and first-time alcohol-related callers increased. The number of calls for cannabis and methamphetamine remained stable. Results suggest the helpline was not used to its full capacity, suggesting a role for further promotion during times of crises.

Adolescent Suicidal Behaviors During the COVID-19 Pandemic in Australia: Analysis of Acute Harms Assessed via Ambulance Data.

PURPOSE: This study investigated changes in suicidal ideation, attempts, and nonsuicidal self-injury (NSSI)-related ambulance attendances among adolescents during the COVID-19 pandemic. METHODS: An interrupted time series analysis using data from the National Ambulance Surveillance System, a globally unique mental health and suicide surveillance system. Patients aged 12-17 years from the state of Victoria, Australia who were attended by ambulance for suicide attempts, suicide ideation, and NSSI between January 2016 and October 2021 were included. Monthly ambulance attendances during the pre-COVID period (January 2016-March 2020) were compared to those in the peak period of COVID-19 (April 2020-October 2021). RESULTS: There were 20,125 ambulance attendances for suicide ideation, suicide attempt, and NSSI in adolescents over the study period. During the pre-COVID period, the number of suicide ideation, attempts, and NSSI attendances was increasing by 1.1% per month (incidence rate ratio [IRR]:1.011; 95% confidence interval [1.009-1.013], p < .001). There was no change in the rate of all suicide ideation, attempt, and NSSI for all adolescents during the period of COVID-19. However, when disaggregated by gender, there was a 0.7% increase in the monthly rate of attendances for females (IRR: 1.007 [1.001-1.013], p = .029), and a 3.0% decrease for males (IRR: 0.970 [0.964-0.975], p < .001). DISCUSSION: Adolescent female suicide ideation, attempt, and NSSI attendances increased during the COVID-19 period, compared with males in the same time period. These findings suggest tailored intervention strategies may be needed to address the increasing trends of self-harm among young people.

Navigation bicoded as functions of x-y and time?

Evidence from egocentric space is cited to support bicoding of navigation in three-dimensional space. Horizontal distances and space are processed differently from the vertical. Indeed, effector systems are compatible in horizontal space, but potentially incompatible (or chaotic) during transitions to vertical motion. Navigation involves changes in coordinates, and animal models of navigation indicate that time has an important role.

The relationship between sleep and appetitive conditioning: A systematic review and meta-analysis.

This systematic review and meta-analysis (PROSPERO registration animal/human studies: CRD42021234793/CRD42021234790) examined the relationship between sleep and appetitive conditioning. Inclusion criteria included: a) appetitive conditioning paradigm; b) measure of conditioning; c) sleep measurement and/or sleep loss; d) human and/etor non-human animal samples; and e) written in English. Searches of seven databases returned 3777 publications. The final sample consisted of 42 studies using primarily animal samples and involving food- and drug-related conditioning tasks. We found sleep loss disrupted appetitive conditioning of food rewards (p < 0.001) but potentiated appetitive conditioning of drug rewards (p < 0.001). Furthermore, sleep loss negatively impacted extinction learning irrespective of the reward type. Post-learning sleep was associated with increases in REM sleep (p = 0.02). Findings suggest sleep loss potentiates the impact of psychoactive substances in a manner likely to produce an increased risk of problematic substance use. In obese/overweight populations, sleep loss may be associated with deficits in the conditioning and extinction of reward-related behaviours. Further research should assess the relationship between sleep and appetitive conditioning in humans.

Adverse outcomes of GHB use: Analysis of ambulance attendances in metropolitan and regional Victoria.

BACKGROUND: Gamma-hydroxybutyrate (GHB) use and attributable harms have been increasing in Australia, however changes over time, including the impact of COVID-19 lockdowns and restrictions on harms requiring an ambulance attendance, are unknown. This study utilised a novel population-based surveillance system to identify the types of GHB-related harms between January 2018 and 31 December 2021 in Victoria, Australia. METHODS: A cross-sectional, retrospective analysis of all GHB-related ambulance attendances between January 2018 and 31 December 2021 in Victoria, Australia was undertaken. Paramedic clinical notes and Glasgow Coma Scale scores were used to assess conscious state. Event codes were classified using dispatch information available in the database. Crude rates (per 100,000 population) and descriptive analyses were calculated for metropolitan and regional settings. Adjusted Odds ratios (aOR) with 95% confidence intervals [95% CI] were used to assess the relationship between GCS severity and polysubstance combinations with GHB. RESULTS: There were 6,836 ambulance attendances for GHB recorded during the study period. A statistically significant increase in GHB-related attendance numbers was observed State-wide in 2019 (n = 1,402, p<0.001) and 2020 (n = 2,622, p<0.001), when comparing year on year attendances. While both numbers and rates (per 100,000 population) of GHB-related attendances were significantly lower in regional areas, significant increases were evident in both metropolitan and regional areas in 2019 and 2020 (both p<0.001). Attendances involving GHB and alcohol had higher odds of a severe GCS score (aOR:1.25; 95%: 1.04-1.49; p<0.019). A high proportion of GHB-attendances involved harms of significant concern including: overdose (56%) and a loss of, or altered state of consciousness (45%). CONCLUSIONS: We observed increases in GHB-related ambulance attendances over time in both metropolitan and regional areas, placing a significant burden on ambulance services. Our study demonstrates the value of using ambulance surveillance to obtain representative data on acute GHB-related harms.

Description of Trends over the Week in Alcohol-Related Ambulance Attendance Data.

Alcohol harms are often determined using a proxy measure based on temporal patterns during the week when harms are most likely to occur. This study utilised coded Australian ambulance data from the Victorian arm of the National Ambulance Surveillance System (NASS) to investigate temporal patterns across the week for alcohol-related ambulance attendances in 2019. These patterns were examined by season, regionality, gender, and age group. We found clear temporal peaks: from Friday 6:00 p.m. to Saturday 3:59 a.m. for both alcohol-involved and alcohol-intoxication-related attendance, from Saturday 6:00 p.m. to Sunday 4:59 a.m. for alcohol-involved attendances, and from Saturday 5:00 p.m. to Sunday 4:49 a.m. for alcohol-intoxication-related attendances. However, these temporal trends varied across age groups. Additionally, hours during Thursday and Sunday evenings also demonstrated peaks in attendances. There were no substantive differences between genders. Younger age groups (18-24 and 25-29 years) had a peak of alcohol-related attendances from 7:00 p.m. to 7:59 a.m. on Friday and Saturday nights, whereas the peak in attendances for 50-59 and 60+ years was from 5:00 p.m. to 2:59 a.m. on Friday and Saturday nights. These findings further the understanding of the impacts of alcohol during different times throughout the week, which can guide targeted policy responses regarding alcohol use and health service capacity planning.