Abstract：
BACKGROUND: Alcohol\'s harm to others (AHTO) refers to harms caused to those other than the drinker. The current paper estimates the prevalence of formal and informal supports sought due to AHTO and examines whether the type of support accessed varies by sociodemographic, economic and harm-related characteristics.
METHODS: An Australian sample of 2574 people completed the 2021 AHTO survey, out of which 888 perceived they experienced harm from another\'s drinking. Prevalence of accessing services and supports was measured. Additionally, several sociodemographic factors, economic factors and harm-related factors were included in multivariable logistic regression models predicting service/support use. Specifically, four models were constructed probing use of any service/support, use of police, use of counselling services and use of family/friend support.
RESULTS: Of the survey sample, 12.4% accessed any support/service. Seeking support from family and/or friends was most common, followed by police, counselling, healthcare services and being admitted to hospital. Women had higher odds of accessing counselling and family/friend support. Respondents with a higher education level and two or more financial stressors had higher odds of accessing police and counselling. Respondents harmed by a stranger had higher odds of accessing police, whereas respondents harmed by someone they know had higher odds of seeking support from family/friends. Experiencing more severe harm was associated with greater odds of accessing any support.
CONCLUSIONS: Several sociodemographic and economic factors were associated with accessing different supports. These findings may inform service development, interventions and policy changes for people affected by others\' drinking.
METHODS: An Australian sample of 2574 people completed the 2021 AHTO survey, out of which 888 perceived they experienced harm from another\'s drinking. Prevalence of accessing services and supports was measured. Additionally, several sociodemographic factors, economic factors and harm-related factors were included in multivariable logistic regression models predicting service/support use. Specifically, four models were constructed probing use of any service/support, use of police, use of counselling services and use of family/friend support.
RESULTS: Of the survey sample, 12.4% accessed any support/service. Seeking support from family and/or friends was most common, followed by police, counselling, healthcare services and being admitted to hospital. Women had higher odds of accessing counselling and family/friend support. Respondents with a higher education level and two or more financial stressors had higher odds of accessing police and counselling. Respondents harmed by a stranger had higher odds of accessing police, whereas respondents harmed by someone they know had higher odds of seeking support from family/friends. Experiencing more severe harm was associated with greater odds of accessing any support.
CONCLUSIONS: Several sociodemographic and economic factors were associated with accessing different supports. These findings may inform service development, interventions and policy changes for people affected by others\' drinking.
摘要：
背景：酒精对他人的伤害（AHTO）是指对饮酒者以外的人造成的伤害。本论文估计了由于AHTO而寻求的正式和非正式支持的普遍性，并研究了获得的支持类型是否因社会人口统计学而异，经济和危害相关特征。
方法：澳大利亚的2574人样本完成了2021年AHTO调查，其中888人认为他们受到了他人饮酒的伤害。测量了访问服务和支持的患病率。此外,几个社会人口因素，经济因素和危害相关因素被纳入预测服务/支持使用的多变量逻辑回归模型.具体来说,构建了四个模型来探测任何服务/支持的使用，利用警察,使用咨询服务和使用家人/朋友支持。
结果：在调查样本中，12.4%访问过任何支持/服务。寻求家人和/或朋友的支持是最常见的，跟着警察,咨询,医疗服务和住院。妇女获得咨询和家庭/朋友支持的可能性更高。受教育程度较高且有两个或两个以上财务压力的受访者获得警察和咨询的几率更高。受到陌生人伤害的受访者接触警察的几率更高，而受到他们认识的人伤害的受访者寻求家人/朋友支持的几率更高。遭受更严重的伤害与获得任何支持的可能性更大。
结论：一些社会人口统计学和经济因素与获得不同的支持有关。这些发现可能会为服务发展提供信息，对受他人饮酒影响的人的干预和政策改变。
方法：澳大利亚的2574人样本完成了2021年AHTO调查，其中888人认为他们受到了他人饮酒的伤害。测量了访问服务和支持的患病率。此外,几个社会人口因素，经济因素和危害相关因素被纳入预测服务/支持使用的多变量逻辑回归模型.具体来说,构建了四个模型来探测任何服务/支持的使用，利用警察,使用咨询服务和使用家人/朋友支持。
结果：在调查样本中，12.4%访问过任何支持/服务。寻求家人和/或朋友的支持是最常见的，跟着警察,咨询,医疗服务和住院。妇女获得咨询和家庭/朋友支持的可能性更高。受教育程度较高且有两个或两个以上财务压力的受访者获得警察和咨询的几率更高。受到陌生人伤害的受访者接触警察的几率更高，而受到他们认识的人伤害的受访者寻求家人/朋友支持的几率更高。遭受更严重的伤害与获得任何支持的可能性更大。
结论：一些社会人口统计学和经济因素与获得不同的支持有关。这些发现可能会为服务发展提供信息，对受他人饮酒影响的人的干预和政策改变。
