Seeking help because of others' drinking

Accessing supports due to others' harmful drinking

INTRODUCTION

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.

DISCUSSION AND 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.

Challenges in Estimating Population Impacts of Alcohol's Harm to others

Background

There is a renewed interest in alcohol's harm to others (AHTO), and survey studies in the general population are often used to estimate the extent of harm, to address the severity and variety of harms, and to identify the victims of such harm. While cross-sectional survey studies are attractive in several respects, they also entail several methodological challenges.

Aim

We discuss some of these issues, paying particular attention to the problems of causal attribution, transferability, survey data collection and range of harms.

Conclusions

We offer some suggestions for study design to enhance causal inferences from studies examining alcohol's harm to others.

How Well Do Survey Studies Capture Alcohol's Harm to Others?

Empirical studies assessing alcohol’s harm to others very often rely on population survey data. This study addresses some of the problems and challenges in using survey data for this purpose. Such problems include the limited capacity of population surveys in identifying infrequent harm and long-term consequences of drinking. Moreover, the drinker may report the alcohol-related harm or the person being harmed may report the damage. However, irrespective of who reports the harm, causal attribution to drinking is problematic. Challenges for future population surveys to address alcohol’s harm to others include the need for improved models and understanding of complex mechanisms to guide empirical studies within the broad range of harm. Study designs other than cross-sectional surveys, such as longitudinal study designs and combinations of population surveys and other data sources, are likely to overcome some of the identified problems in current population surveys of alcohol’s harm to others.

Trends in Alcohol's Harms to Others (AHTO) and Co-occurrence of Family-Related AHTO: The Four US National Alcohol Surveys, 2000-2015

Various harms from others' drinking have been studied individually and at single points in time. We conducted a US population 15-year trend analysis and extend prior research by studying associations of depression with combinations of four harms - family/marriage difficulties, financial troubles, assault, and vandalism - attributed to partners or family members. Data come from four National Alcohol Surveys conducted by telephone in 2000, 2005, 2010, and 2015 (analytic sample = 21,184). Weighted logistic regression models estimated time trends adjusting for victim characteristics (gender, age, race/ethnicity, marital status, poverty, employment, family history of alcohol problems, and drinking maximum). The 2015 survey asked the source of the harm; we used similar models to examine characteristics, including anxiety and depression, associated with various combinations of family/marriage, financial, and assault harms due to partner's/spouse's/family members' drinking. A significant upward trend (P <0.001) from 2000 to 2015 was seen for financial troubles but not for other harms due to someone else's drinking. In 2015, depression and/or anxiety were strongly associated with exposures to harms and combinations of harms identified as stemming from drinking spouse/partner and/or family members. The results shed new light on 15-year trends and associations of harms with personal characteristics. A replicated finding is how the victim's own heavy drinking pattern is implicated in risks for exposures to harms from someone else's drinking. Documenting risk factors for and mental health impacts is important for interventions to reduce alcohol's harm to others.

Secondhand effects of alcohol use among students in Vietnam

Background

In many countries worldwide, heavy drinking can cause harm not only to drinkers but also to those around them.

Objective

To examine the prevalence and predictors of secondhand effects of alcohol use among students in Vietnam.

Design

In this cross-sectional study, a multistage sampling strategy was used to select 6,011 students (from the first to final study year) of 12 universities/faculties in four provinces in Vietnam. During class, students filled in a questionnaire asking for demographic information, and about alcohol-related problems and details of secondhand effects of alcohol during the past year. Exploratory factor analysis of the secondhand effects indicated two factors: non-bodily harm and bodily harm. A logistic regression model was used to explore the association between predictors and non-bodily harm and bodily harm.

Results

The prevalence of secondhand effects of alcohol is high among students in Vietnam: 77.5% had non-bodily effects and 34.2% had bodily effects. More than 37% of the population reported three to four non-bodily effects and more than 12% reported two to three bodily harms due to the drinking of others. However, most respondents who reported secondhand effects experienced these less than once per month. Factors most strongly associated with the yearly non-bodily harm were the weekly drinking habits of the people the respondents live with, and living in a smaller city; the factor most strongly associated with the yearly bodily harm was the respondent's own alcohol-related problems. Moreover, weekly drinking habits of the people the respondents live with, and respondent's own alcohol-related problems are strongly associated with the frequent experience of non-bodily and bodily effects of alcohol.

Conclusions

In addition to dealing with alcohol-related harm of drinkers themselves, preventing secondhand effects should also be a major focus of prevention policy.