Support for alcohol policies among drinkers in Mongolia, New Zealand, Peru, South Africa, St Kitts and Nevis, Thailand and Vietnam: Data from the International Alcohol Control Study

Changes in attitudes toward alcohol control policies in Lithuania: findings from two representative surveys in 2015 and 2020

Background: A set of evidence-based alcohol control policy measures was adopted in the period 2016-2020 in Lithuania. The present study fills a knowledge gap on how changes in alcohol control policy are associated with attitudes toward different alcohol policy measures.Objective: This study aims to explore whether support for key alcohol control policy measures in Lithuania declined following implementation of alcohol control measures.Methods: Data came from the Standard European Alcohol Survey. Two representative surveys with the same questionnaire, were conducted in Lithuania in 2015 (N = 1513, 51.7% female, response rate was 38.9%) and 2020 (N = 1015, 50.6% female, response rate was 38.0%). Multi-stage stratified probability sampling was applied. Surveys were carried out using computer-assisted face-to-face interviews, descriptive statistics and multiple logistic regression analyses was applied. We used a binomial logistic regression analysis and the Pearson chi-square test.Results: There was a significant decline in a proportion of respondents who agreed that the number of alcohol selling places should be kept low (OR: 0.84, p = .032), alcohol prices should be kept high (OR: 0.83, p = .027), and the police should be allowed to randomly check whether the driver is sober (OR: 0.65, p < .001). The proportion of respondents who agree that individuals are responsible enough with their drinking significantly declined (OR: 0.76, p = .003).Conclusion: Support for restrictions on alcohol-selling points, increase in alcohol price, and random alcohol testing of drivers declined following the adoption of new alcohol control policy measures. Our findings might be beneficial for policy-makers planning alcohol control policies and information campaigns.

Support for Alcohol Policies in Marginalized Populations

AIM

Kingdon [(2014) Agendas, Alternatives, and Public Policies. Essex. United Kingdom: Pearson Education Limited] argues that windows of opportunity to pass policies emerge when problems, solutions and policy support co-occur. This study aims to identify a set of alcohol policies with the potential to reduce alcohol-related disparities given high levels of support from marginalized groups, such as racial/ethnic minorities and lower-income groups.

METHODS

This study used data from five US National Alcohol Surveys, which were based on household probability samples of adults in 1995 (n = 4243), 2000 (n = 5736), 2005 (n = 1445), 2010 (n = 4164) and 2015 (n = 4041). We used multiple logistic regression to determine the odds of policy support by racial/ethnic group and income level, considering price, place and marketing policies as well as individual-level interventions.

RESULTS

Overall a majority of Americans supported banning alcohol sales in corner stores (59.4%), banning alcohol advertisements on television (55.5%), and establishing universal health coverage for alcohol treatment (80.0%). Support was particularly high among Blacks, Hispanics/Latinos and lower-income persons. Multivariate models showed that compared with White people, foreign-born Hispanics/Latinos had the most robust levels of support, including raising alcohol taxes (aOR = 2.40, 95% CI: 2.00, 2.88, P < 0.0001), banning alcohol sales in corner stores (aOR = 2.85, 95% CI: 2.22, 3.65, P < 0.0001) and reducing retail sales hours (aOR = 2.91, 95% CI: 2.38, 3.55, P < 0.0001).

CONCLUSION

Of the policies examined, banning alcohol sales at corner stores is most likely to be in a "window of opportunity" for reducing alcohol-related disparities. By simultaneously reducing population-level consumption and harms from others' drinking, place-based policies have the potential to reduce harms experienced by marginalized groups.

Interested constituents: identifying groups to mobilize in community organizing efforts to strengthen alcohol control policies

Background: Policy support research identifies demographic profiles of those who support policies, but community organizers aim to mobilize groups with an existing structure. Thus, identifying established groups that support alcohol policies may aid organizing efforts.Objective: This paper calculates prevalence and odds of policy support among three potential constituency groups (i.e., religious affiliation, persons harmed by others' drinking, and persons in recovery from alcohol) for three policies: alcohol tax increases, banning alcohol in corner stores, and universal coverage for alcohol treatment.Methods: Using the 2014-15 National Alcohol Survey (n = 3,444; 1,457 male, 1,987 female) and logistic regression, this study explores associations between constituency groups and policy support.Results: Support was higher for the individual-level strategy of alcohol treatment (80.8%) than raising taxes (27.5%) and banning sales in corner stores (52.2%). Support for taxes was higher among persons who valued religion highly (vs not; aOR = 1.46, p < .01), persons harmed by others' drinking (vs not; aOR = 1.71, p < .001), and persons in recovery (vs. not; aOR = 1.76, p = .02); Catholics had lower odds of support for taxes (vs no denomination; aOR = 0.63, p = .01). Persons who valued religion highly (aOR = 1.53, p < .001), Protestants (aOR = 1.63, p < .01), Catholics (aOR = 1.46, p = .03), and persons with other religious denominations (aOR = 2.17, p = .02) had higher odds of supporting bans in corner stores. Only those in recovery showed greater support for treatment (aOR = 3.20, p < .001).Conclusion: Overall, support was lower for population-wide approaches, but results revealed constituency groups that supported these policies. These groups may be allies to organizers who seek to reduce population-level alcohol consumption and harms.

On- and off-licensed premises drinking behaviour among adults in the city of Tshwane, South Africa: An analysis of data from the International Alcohol Control study

INTRODUCTION AND AIMS

Alcohol use is among the leading risk factors for premature death and morbidity in South Africa. This study sought to identify factors associated with drinking behaviour in on- and off-licensed premises (typical occasion quantity and frequency) among adults in the City of Tshwane, South Africa.

DESIGN AND METHODS

A household survey was conducted in 2014, using a multi-stage stratified cluster random sampling design. Participants comprised 982 adults (65% males) aged 18-65 years. Factors explored included socio-demographic variables and situational variables at on- and off-licensed premises. Multiple logistic regression analysis was performed to predict drinking behaviour at on- and off-licensed premises.

RESULTS

The majority of the participants consumed alcohol in off-licensed premises (64% vs. 36%). However, participants who consumed alcohol at on-licensed premises were more likely to drink more alcohol and more frequently (weekly). Additionally, participants who consumed alcohol in above-average sized containers were more likely to consume six or more drinks and drink weekly. Being of high socio-economic status was associated with drinking weekly at off-licensed premises, while being less educated was associated with a significantly higher frequency of drinking at on-licensed premises.

DISCUSSION AND CONCLUSIONS

Interventions to reduce alcohol use should target specific drinking behaviour at on- and off-licensed premises, for example, regulating the availability of alcohol in big-sized containers and the need for cutting down on quantity of alcohol and frequency of drinking for South African males who drink at on- and off-licensed premises.

Australians' support for alcohol price-based policies

BACKGROUND

Price-based policies are effective alcohol harm minimisation policy options. This paper examines public support for price-based policies based on patterns of consumption and expenditure, to determine if the extent to which an individual may be affected by a policy influences their support.

METHODS

The current study included 1,684 Australian residents (59.8% male, M_age 43.8 [SD=16.7]). Respondents who purchased and consumed alcohol in the past six months were asked about their support for potential changes in a series of price-based policies.

RESULTS

Increasing price was less likely to be supported than either implementing a minimum price or a tax-increase earmarked to pay for alcohol harms. Increasing price and taxing drinkers were more likely to be supported by older people and women. We found no relationship between income or perceived impact of price increases on purchasing and level of support.

CONCLUSION

Contrary to the idea that public support might be partly influenced by ability to pay for alcohol, support for a minimum unit price was not related to price paid per drink or income, only amount consumed. Thus, heavier drinkers may be inherently unlikely to support price-based policies even when these policies would have little impact on their actual purchasing.

Alcohol consumption and consequences in adolescents in 68 low and middle-income countries - a multi-country comparison of risks by sex

AIMS

Alcohol use is a leading risk factor for disease burden among youth. This study estimated sex differences in the prevalence of alcohol use and consequences among adolescents living in low and middle-income countries (LMIC).

DESIGN

Multi-staged cross-sectional international standardized self-report questionnaires administered in the classroom.

SETTING

The Global school-based student health survey (GSHS) comprised adolescents from 68 LMIC between 2003-2014.

PARTICIPANTS

271,156 students aged 13-17 years old.

MEASUREMENTS

Alcohol measures included: past month alcohol consumption, history of intoxication and alcohol-related problems. Regions were based on the World Health Organization definitions: Africa, America, Eastern Mediterranean, Europe, South-east Asia, and Western Pacific.

FINDINGS

Overall, males had higher odds of alcohol use (OR = 2.38 [1.91-2.96]), a history of intoxication (OR = 2.64 [2.11-3.31]), and alcohol-related problems (OR = 1.72 [1.41-2.10]) than females. All regions recorded overall greater odds of alcohol use by males versus females; five regions (excluding Europe) recorded greater odds of intoxication in males; and three regions (America, South-east Asia, and Western Pacific) recorded greater odds of alcohol-related problems amongst males. However, there were country-level differences - in some countries, adolescent drinking rates and consequences were comparable by sex. Countries with the highest odds of alcohol use among males compared to females were Indonesia, Myanmar, Cambodia, Tuvalu, Morocco, Senegal, Kiribati, and Thailand.

CONCLUSIONS

Among adolescents living in LMIC, males had on average two-fold higher odds of drinking alcohol and experiencing adverse consequences. Growing affluence and improvements in sex equality in societies may increase the future prevalence of hazardous drinking in females in LMICs.

Drinking patterns vary by gender, age and country-level income: Cross-country analysis of the International Alcohol Control Study

INTRODUCTION AND AIMS

Gender and age patterns of drinking are important in guiding country responses to harmful use of alcohol. This study undertook cross-country analysis of drinking across gender, age groups in some high-and middle-income countries.

DESIGN AND METHODS

Surveys of drinkers were conducted in Australia, England, Scotland, New Zealand, St Kitts and Nevis (high-income), Thailand, South Africa, Mongolia and Vietnam (middle-income) as part of the International Alcohol Control Study. Drinking pattern measures were high-frequency, heavier-typical quantity and higher-risk drinking. Differences in the drinking patterns across age and gender groups were calculated. Logistic regression models were applied including a measure of country-level income.

RESULTS

Percentages of high-frequency, heavier-typical quantity and higher-risk drinking were greater among men than in women in all countries. Older age was associated with drinking more frequently but smaller typical quantities especially in high-income countries. Middle-income countries overall showed less frequent but heavier typical quantities; however, the lower frequencies meant the percentages of higher risk drinkers were lower overall compared with high-income countries (with the exception of South Africa).

DISCUSSION AND CONCLUSIONS

High-frequency drinking was greater in high-income countries, particularly in older age groups. Middle-income countries overall showed less frequent drinking but heavier typical quantities. As alcohol use becomes more normalised as a result of the expansion of commercial alcohol it is likely frequency of drinking will increase with a likelihood of greater numbers drinking at higher risk levels.