Besides the drinking in alcohol's harm to others: potential economic and environmental factors.

Introduction: This paper considers how harm from others' drinking is distributed across several economic and environmental factors.

Method: Economic, environmental, demographic and drinking measures include: household income, financial disadvantage indicators, home spaciousness; neighbourhood socioeconomic status (SES), connections and safety; and respondent's gender, age group and risky drinking status. The paper explores interactions of these factors with harms from the drinking of others in a 2021 survey of 2574 Australian adults.

The extent and diversity of harm from the drinking of unknown others in Australia: An analysis of data from during the COVID-19 pandemic.

Introduction: This paper aims to produce a comprehensive estimate of alcohol's harm to others (AHTO) from strangers among Australia adults in 2021. This survey was undertaken during COVID-19 and aims to compare AHTO results with those from 12 years before and identify differences across socio-demographics.

Methods: Cross-sectional data of 2574 Australian adults were collected in November 2021 via two survey modes: random digit dialling and the Life in Australia™ panel.

Harm to children from others' drinking: A survey of caregivers in Australia.

Aims: This study aimed to identify the prevalence and types of harm to children from others' drinking in Australia, as indicated by caregivers, and examine socio-demographic characteristics of caregivers who indicated a child was affected by others' drinking.

Design, Setting, Participants And Measurements: A subsample of 854 adult respondents, who were caregivers of children under 18 years from the 2021 Australian Alcohol's Harm to Others study, were asked questions about whether children in their care had been negatively affected by others' drinking in the past year. Weighted prevalence estimates of overall and specific harms to children are presented.

Are Heavier drinkers' Views on Situational Drinking Norms Affected by Recent Experience of Harm from others' Drinking?

Objective: The relation is investigated between situational drinking norms which accept heavier drinking and the experience of harm from others' drinking. How does the experience of such harm relate to the acceptance of heavier drinking in drinking situations?

Methods: Respondents in a 2021 combined sample from random digitally dialed mobile phones and a panel survey of Australian adults ( = 2,574) were asked what level of drinking is acceptable in 11 social situations, including 3 "wet" situations where drinking is generally acceptable. Besides their own drinking patterns, respondents were also asked about their experience of harm from others' drinking in the last 12 months.

Harm from the drinking of people you know: A range of effects from different relationships.

Aims: To describe the range of effects experienced due to the drinking of people respondents know and analyze risk and protective factors for harm from the drinking of partners and household members, other relatives and friends and co-workers.

Design, Setting And Participants: Surveys of 2574 participants' experiences were obtained from two samples: 1000 people responded to random digitally dialled Australian mobile calls and 1574 participants responded from the Life in Australia panel survey.

Measurements: Respondents were asked whether they had been negatively affected in the previous 12 months by the drinking of persons they knew who were 'a heavy drinker or drank a lot sometimes' and the nature of these harms.

Exploring the relationship between solitary drinking and living without other adults on alcohol consumption during the COVID-19 pandemic.

Aims: The COVID-19 pandemic presents the opportunity to learn about solitary drinking as many people were forced to spend time at home. The aim of this study is to examine the relationship between solitary drinking and living without other adults on alcohol consumption.

Methods: A longitudinal study with four survey waves (between May and November 2020) obtained seven-day drinking diary data from Australian adults living in New South Wales.

The Burden of Alcohol-Related Caring for Others in Australia in the 2021 Pandemic Period.

Objective: The magnitude of caring for others because of excessive alcohol use is unclear in Australia and internationally. This study explores the prevalence, sociodemographic predictors, and consequences of informal care for others because of alcohol use.

Method: A survey on harm from others' drinking was conducted among 2,574 Australian adults in November 2021 from national random digit dial and "Life in Australia" panel samples to elicit representative data.

The prevalence of alcohol references in music and their effect on people's drinking behavior: A systematic review and meta-analysis.

Understanding the prevalence of alcohol references in music and their impact on alcohol drinking behavior is important given the increased accessibility to daily music listening with the proliferation of smart devices. In this review, we estimate the pooled prevalence of alcohol references in music and its association with drinking behavior. Systematic searches were conducted across four major databases (MEDLINE, PsycINFO, EMBASE, and CINHAL).

Development of the lyrics-based deep learning algorithm for identifying alcohol-related words (LYDIA).

Background: Music is an integral part of our lives and is often played in public places like restaurants. People exposed to music that contained alcohol-related lyrics in a bar scenario consumed significantly more alcohol than those exposed to music with less alcohol-related lyrics. Existing methods to quantify alcohol exposure in song lyrics have used manual annotation that is burdensome and time intensive.

How to apply zero-shot learning to text data in substance use research: An overview and tutorial with media data.

A vast amount of media-related text data is generated daily in the form of social media posts, news stories or academic articles. These text data provide opportunities for researchers to analyse and understand how substance-related issues are being discussed. The main methods to analyse large text data (content analyses or specifically trained deep-learning models) require substantial manual annotation and resources.

The promise of zero-shot learning for alcohol image detection: comparison with a task-specific deep learning algorithm.

Exposure to alcohol content in media increases alcohol consumption and related harm. With exponential growth of media content, it is important to use algorithms to automatically detect and quantify alcohol exposure. Foundation models such as Contrastive Language-Image Pretraining (CLIP) can detect alcohol exposure through Zero-Shot Learning (ZSL) without any additional training.

Drinking before sporting events in Australia: An ecological momentary assessment study.

This study investigates the individual and event-level correlates of drinking prior to attending Australian Football League (AFL) games among a sample of Australian spectators. A total of 30 adults (20% female, mean age = 32) completed a series of questionnaires ( = 417) before, during, and after an AFL match on a Friday, Saturday, or Sunday. Cluster-adjusted regression analyses were conducted to examine the impact of individual-level (age, gender, drinking habits) and event-level factors (time and day of game, location of viewing the game, viewing with friends or family) on drinking prevalence and the number of drinks consumed prior to the game.

Alcohol's harm to others in 2021: Who bears the burden?

Background And Aims: Alcohol's harm to others (AHTO) has become a key driver of national and international alcohol policy. This study aimed to produce a contemporary, comprehensive estimate of the correlates and harms from others' drinking in 2021 in Australia.

Design, Setting, Participants And Measurements: Across Australia, 2574 adults (1380 women; 1172 men) were sampled via two cross-sectional survey modes: a random-digit dial mobile phone sample of 1000 people and 1574 people from the Life in Australia™ panel survey.

Pre-drinking motives are directly associated with alcohol-related consequences even after adjusting for alcohol use on a given night: A consequence-specific analysis.

Introduction: Pre-drinking motives (PDM) are linked with different characteristics of pre-drinking occasions (e.g., fast-paced drinking, socializing, moving across locations) that are potentially related to adverse night-level consequences.

Commercial Advertising of Alcohol: Using Law to Challenge Public Health Regulation.

In most countries, the alcohol industry enjoys considerable freedom to market its products. Where government regulation is proposed or enacted, the alcohol industry has often deployed legal arguments and used legal forums to challenge regulation. Governments considering marketing regulation must be cognizant of relevant legal constraints and be prepared to defend their policies against industry legal challenges.

Fun/intoxication pre-drinking motives lead indirectly to more alcohol-related consequences via increased alcohol consumption on a given night.

Introduction: Pre-drinking increases alcohol use on drinking nights, which is associated with various adverse alcohol-related consequences but what motivates people to do so, i.e. the role of pre-drinking motives (PDM) in this link, is unclear.

Mental health of college students during the COVID-19 epidemic in China.

Objectives: To assess the psychological status of college students in China during the COVID-19 outbreak, and offer some theoretical evidence for psychological intervention of college students.

Methods: An online survey was conducted from May 10, 2020 to June 10, 2020. Anxiety symptoms were measured by the Generalized Anxiety Disorder 7-Item Scale (GAD-7).