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Introduction: Contrary to stereotypes, Aboriginal and Torres Strait Islander Australians are more likely to abstain from drinking than other Australians. We explored characteristics and experiences of Aboriginal and Torres Strait Islander Australians who do not drink alcohol. Method: We conducted a cross‐sectional, representative survey of 775 Aboriginal and Torres Strait Islander Australians (16+ years) in remote and urban South Australia. We explore correlates of not drinking alcohol using multi‐level logistic regression. We describe reasons for non‐drinking and harms participants experienced in past 12 months from others' drinking. Results: Non‐drinking participants were more likely to be older (OR 1.35 [95% CI 1.21, 1.50] per decade) and unemployed (OR 2.72 [95% CI 1.77, 4.20]). Participants who spoke Aboriginal Australian languages at home were three times more likely to be lifetime abstainers from drinking (OR 3.07 [95% CI 1.52, 6.21]). Common reasons for not drinking alcohol were health and family. Most did not report harms from others' alcohol consumption (79.6%, 76.9%, urban and remote respectively). Stress from others' alcohol consumption was the most reported harm by non‐drinkers (14.5% and 23.1%, urban and remote, respectively). Discussion and Conclusions: Culture such as speaking Aboriginal Australian languages might have protective effects that promote abstaining but was rarely explicitly cited as a reason for not drinking. A greater understanding of local values held by people who do not drink alcohol could help inform health messaging and other interventions to reduce alcohol‐related harms. Understanding local reasons for abstaining can help tailor health messaging to suit local contexts. [ABSTRACT FROM AUTHOR]

Introduction: Measuring self‐reported alcohol use is challenging in any population, including when episodic drinking may be common. Drinking among Indigenous Australians has been shown to vary greatly within and between communities. However, most survey methods assume 'regular' patterns of drinking. National estimates have also been shown to underestimate alcohol use among this group. This paper describes drinking patterns in two representative community samples (urban and remote). Methods: Indigenous Australians (aged 16+ years) in two South Australian sites were recruited to complete the Grog Survey App. The App is a validated, interactive tablet‐based survey tool, designed to help Indigenous Australians describe their drinking. Drinking patterns were described using medians and interquartile ranges; gender and remoteness were compared using Wilcoxon rank‐sum tests. Spearman correlations explored the relationship between drinking patterns and age. Logistic regressions tested if beverage or container preference differed by remoteness or gender. Results: Three‐quarters of participants (77.0%, n = 597/775) were current drinkers. Median standard drinks per occasion was 7.8 (78 g), 1.3 drinking occasions per month (median). Three‐quarters of current drinkers (73.7%) reported a period without drinking (median: 60 days). Remote drinkers were more likely to drink beer. Improvised containers were used by 40.5% of drinkers. Discussion and Conclusions: Episodic drinking with extended 'dry' periods and from non‐standard drinking containers was common in this representative sample of Indigenous Australians. The diversity of container use and beverage preference, by gender and remoteness, illustrates nuances in drinking patterns between communities. It shows the importance of community‐level data to inform local strategies addressing alcohol misuse. [ABSTRACT FROM AUTHOR]

Abstract Background There is little research on the relationship between key socioeconomic variables and alcohol related harms in Australia. The aim of this research was to examine the relationship between income inequality and the rates of alcohol-attributable hospitalisation and death at a local-area level in Australia. Method We conducted a cross sectional ecological analysis at a Local Government Area (LGA) level of associations between data on alcohol caused harms and income inequality data after adjusting for socioeconomic disadvantage and remoteness of LGAs. The main outcome measures used were matched rate ratios for four measures of alcohol caused harm; acute (primarily related to the short term consequences of drinking) and chronic (primarily related to the long term consequences of drinking) alcohol-attributable hospitalisation and acute and chronic alcohol-attributable death. Matching was undertaken using control conditions (non-alcohol-attributable) at an LGA level. Results A total of 885 alcohol-attributable deaths and 19467 alcohol-attributable hospitalisations across all LGAs were available for analysis. After weighting by the total number of cases in each LGA, the matched rate ratios of acute and chronic alcohol-attributable hospitalisation and chronic alcohol-attributable death were associated with the squared centred Gini coefficients of LGAs. This relationship was evident after adjusting for socioeconomic disadvantage and remoteness of LGAs. For both measures of hospitalisation the relationship was curvilinear; increases in income inequality were initially associated with declining rates of hospitalisation followed by large increases as the Gini coefficient increased beyond 0.15. The pattern for chronic alcohol-attributable death was similar, but without the initial decrease. There was no association between income inequality and acute alcohol-attributable death, probably due to the relatively small number of these types of death. Conclusion We found a curvilinear relationship between income inequality and the rates of some types of alcohol-attributable hospitalisation and death at a local area level in Australia. While alcohol-attributable harms generally increased with increasing income inequality, alcohol-attributable hospitalisations actually showed the reverse relationship at low levels of income inequality. The curvilinear patterns we observed are inconsistent with monotonic trends found in previous research making our findings incompatible with previous explanations of the relationship between income inequality and health related harms.

Objectives: Exploration of experience of harms due to another person's drinking within a demographic particularly vulnerable to these consequences. Importance of study: Largest sampling of young Australian risky drinkers, who are underrepresented in general population surveys. The range of harms due to others' drinking reported here is more comprehensive than documented elsewhere. Study type: Cross-sectional self-report survey. Methods: Participants were 14-19 years old and screened as being within the riskiest-drinking 25% for their age cohort. The convenience sample of 3465 was recruited primarily by social media advertising. Face-to-face interviews were conducted in all eight Australian capital cities (n = 596), supplemented by online surveys (n = 2869). Past 12-month experience of 13 harms due to others' drinking was assessed by age, gender and perpetrator. Results: Females were more likely to experience seven harms, mainly characterised by fear and harassment, including being harassed or bothered at a party or some other private setting (41% vs 34% of males, p < 0.001), being given unwanted sexual attention (71% vs 47%, p < 0.001) and being put in fear (33% vs 20%, p < 0.001). Males were more likely to experience three harms, characterised by aggression: being yelled at, criticised or verbally abused (38% vs 33% of females, p = 0.002), being pushed or shoved (42% vs 28%, p < 0.001) and being physically hurt (17% vs 11%, p < 0.001). Teenagers of a legal alcoholpurchase age were more likely to experience harassment in public settings (49% vs 32-34%, p < 0.001) and unwanted sexual attention (66% vs 51-59%, p < 0.001) compared with younger teenagers. Seven of the harms studied were more likely (p < 0.01) to be perpetrated by people the respondents knew, and five (those associated with fear and aggression) were more likely to be perpetrated by strangers. Conclusion: Young people who are risky drinkers commonly experience multiple harms from others' drinking. Many of these alcohol harms to others are reported here for the first time, as previous studies of adolescent drinking have focused almost exclusively on the harms young people have experienced from their own drinking. This refocusing on the harms caused by the drinking of others may prompt greater community concern and concomitant calls for better alcohol regulation. [ABSTRACT FROM AUTHOR]

In this article, the authors comment on a study conducted by researcher M. Holmes and colleagues on mendelian randomization (MR) meta-analysis to know association between low dose alcohol consumption and risk of coronary heart diseases (CHD). Topics discussed includes information on MR, genotypic assessment of behavior related to consumption and abstinence from alcohol and increased risk of CHD among drinkers.

Objectives: Exploration of experience of harms due to another person's drinking within a demographic particularly vulnerable to these consequences. Importance of study: Largest sampling of young Australian risky drinkers, who are underrepresented in general population surveys. The range of harms due to others' drinking reported here is more comprehensive than documented elsewhere., Study Type: Cross-sectional self-report survey., Methods: Participants were 14-19 years old and screened as being within the riskiest-drinking 25% for their age cohort. The convenience sample of 3465 was recruited primarily by social media advertising. Face-to-face interviews were conducted in all eight Australian capital cities (n = 596), supplemented by online surveys (n = 2869). Past 12-month experience of 13 harms due to others' drinking was assessed by age, gender and perpetrator., Results: Females were more likely to experience seven harms, mainly characterised by fear and harassment, including being harassed or bothered at a party or some other private setting (41% vs 34% of males, p < 0.001), being given unwanted sexual attention (71% vs 47%, p < 0.001) and being put in fear (33% vs 20%, p < 0.001). Males were more likely to experience three harms, characterised by aggression: being yelled at, criticised or verbally abused (38% vs 33% of females, p = 0.002), being pushed or shoved (42% vs 28%, p < 0.001) and being physically hurt (17% vs 11%, p < 0.001). Teenagers of a legal alcohol-purchase age were more likely to experience harassment in public settings (49% vs 32-34%, p < 0.001) and unwanted sexual attention (66% vs 51-59%, p < 0.001) compared with younger teenagers. Seven of the harms studied were more likely (p < 0.01) to be perpetrated by people the respondents knew, and five (those associated with fear and aggression) were more likely to be perpetrated by strangers., Conclusion: Young people who are risky drinkers commonly experience multiple harms from others' drinking. Many of these alcohol harms to others are reported here for the first time, as previous studies of adolescent drinking have focused almost exclusively on the harms young people have experienced from their own drinking. This refocusing on the harms caused by the drinking of others may prompt greater community concern and concomitant calls for better alcohol regulation., Competing Interests: None declared.