Drinking Patterns

Drinking Patterns (82)

BACKGROUND: This study examined the relative contribution of alcoholic beverage types to overall alcohol consumption and associations with heavy alcohol use and alcohol-related harms among adults.

METHODS: Cross-sectional survey data were collected from adult samples in two cities involved in the Global Smart Drinking Goals (GSDG) initiative in each of five countries (Belgium, Brazil, China, South Africa, United States). Survey measures included past-30-day consumption of beer, wine, flavored alcoholic drinks, spirits, and homemade alcohol; past-30-day heavy drinking; 14 alcohol-related harms in the past 12 months; and demographic characteristics. Within in each country, we computed the proportion of total alcohol consumption for each beverage type. Regression analyses were conducted to estimate the relative associations between consumption of each alcoholic beverage type, heavy alcohol use, and alcohol-related harms, controlling for demographic characteristics.

RESULTS: Beer accounted for at least half of total alcohol consumption in GSDG cities in Belgium, Brazil, the U.S., and South Africa, and 35% in China. Regression analyses indicated that greater beer consumption was associated with heavy drinking episodes and with alcohol-related harms in the cities in Belgium, Brazil, South Africa, and the U.S. Significant increases in heavy drinking and alcohol-related harms were also consistently observed for spirits consumption.

CONCLUSIONS: Beer accounts for the greatest proportion of total alcohol consumption in most of the GSDG cities and was consistently associated with more heavy drinking episodes and alcohol-related harms. Reducing beer consumption through evidence-based interventions may therefore have the greatest impact on hazardous drinking and alcohol-related harms.

Alcohol use has been causally linked to more than 200 disease and injury conditions, as defined by three-digit ICD-10 codes. The understanding of how alcohol use is related to these conditions is essential to public health and policy research. Accordingly, this study presents a narrative review of different dose-response relationships for alcohol use. Relative-risk (RR) functions were obtained from various comparative risk assessments. Two main dimensions of alcohol consumption are used to assess disease and injury risk: (1) volume of consumption, and (2) patterns of drinking, operationalized via frequency of heavy drinking occasions. Lifetime abstention was used as the reference group. Most dose-response relationships between alcohol and outcomes are monotonic, but for diabetes type 2 and ischemic diseases, there are indications of a curvilinear relationship, where light to moderate drinking is associated with lower risk compared with not drinking (i.e., RR < 1). In general, women experience a greater increase in RR per gram of alcohol consumed than men. The RR per gram of alcohol consumed was lower for people of older ages. RRs indicated that alcohol use may interact synergistically with other risk factors, in particular with socioeconomic status and other behavioural risk factors, such as smoking, obesity, or physical inactivity. The literature on the impact of genetic constitution on dose-response curves is underdeveloped, but certain genetic variants are linked to an increased RR per gram of alcohol consumed for some diseases. When developing alcohol policy measures, including low-risk drinking guidelines, dose-response relationships must be taken into consideration.

BACKGROUND: This paper aimed to explore the differences in subjective experiences of intoxication depending on drinking location and drink type.

METHODS: Data came from 32,194 respondents to The Global Drug Survey (GDS) 2015, an annual, cross-sectional, online survey. Respondents selected their usual drinking location (home alone: home with partner/family: house parties: pubs/bars or clubs) and usual drink (wine; beer/cider/lager; spirits or alcopops/coolers). They indicated how many drinks they required to reach three stages of intoxication (feeling the effects; an ideal stage of intoxication; and the tipping point) and how frequently they reached each stage.

RESULTS: Drink type affected grams of alcohol reported to reach the tipping point: 109?gm wine, 127?gm alcopops, 133?gm of beer, and 134?gm of spirts. Respondents who drank at home alone, or in clubs reached their tipping point more frequently compared to other locations.

CONCLUSIONS: Where people drink, and the type of alcohol they drink, affected the amount of alcohol reported to reach different stages of intoxication. Understanding why different drinking locations, and drink types lead to a need for greater consumption to reach an ideal state of drunkenness, such as social cues from other people who drink, may enable people to reduce their drinking.

BACKGROUND: Adolescent alcohol consumption is a major public health concern that should be continuously monitored. This study aims (i) to analyze country-level trends in weekly alcohol consumption, drunkenness and early initiation in alcohol consumption and drunkenness among 15-year-old adolescents from 39 countries and regions across Europe and North America between 2002 and 2014 and (ii) to examine the geographical patterns in adolescent alcohol-related behaviours.

METHODS: The sample was composed of 250 161 adolescents aged 15 from 39 countries and regions from Europe and North America. Survey years were 2002, 2006, 2010 and 2014. The alcohol consumption and drunkenness items of the HBSC questionnaire were employed. Prevalence ratios and 95% confidence intervals were estimated using Poisson regression models with robust variance.

RESULTS: Data show a general decrease in all four alcohol variables between 2002 and 2014 except for some countries. However, there is variability both within a country (depending on the alcohol-related behaviour under study) and across countries (in the beginning and shape of trends). Some countries have not reduced or even increased their levels in some variables. Although some particularities have persisted over time, there are no robust patterns by regions.

CONCLUSIONS: Despite an overall decrease in adolescent alcohol consumption, special attention should be paid to those countries where declines are not present, or despite decreasing, rates are still high. Further research is needed to clarify factors associated with adolescent drinking, to better understand country specificities and to implement effective policies.

Objectives: Alcohol consumption and harms among older people are increasing. We examined different demographic characteristics and drinking patterns among an older population. Methods: Secondary analyses of nationally representative Australian data; subjects aged 50+ years (N = 10,856). Two-step cluster analysis was performed to identify demographic groups and alcohol consumption behaviours. Results: Three groups were identified: Group 1 (older, unmarried, and lived alone): >65 years, moderate drinkers, poorest health, psychological distress, social disadvantage, smokers, illicit drug users, and more frequent previous alcohol treatment. Group 3 (older married): >65 years, good health, low psychological distress, less likely to drink at risky levels, and one in five drank daily. Group 2 (younger married): 50-64 years, mostly employed, highest proportion of risky drinkers and of 5+ standard drinks per session, and liberal drinking attitudes with most concern from others about their drinking. Discussion: These demographic typologies can inform targeted prevention efforts for an estimated 1.3 million adults older than 50 years drinking at risky levels.
OBJECTIVES: The primary objective of the study was to examine the effect of calorie labelling and physical activity equivalence labelling of alcoholic drinks on drinking intentions in participants of lower and higher socioeconomic position (SEP). METHODS: Participants (N = 1,084) of higher and lower SEP were recruited into an online study and randomized into one of three drink label conditions; Control (standard alcohol labelling), kcal labelling (standard labelling plus drink kilocalorie information), or kcal + PACE labelling (standard labelling and kilocalorie information, plus information on physical activity needed to compensate for drink calories). After viewing drink labels, participants reported alcohol drinking intentions. Participants also completed measures of alcoholic drink energy content estimation, beliefs about how calorie labelling would affect health behaviour and support for calorie labelling of alcoholic drinks. RESULTS: kcal labelling (d = 0.31) and kcal + PACE labelling (d = 0.38) conditions had significantly lower drinking intentions compared to the control condition (ps < .001). There was no evidence that effect of labelling condition on drinking intentions was moderated by SEP. A subset of participants also reported that they believed calorie labelling would be likely to positively change their eating and exercise behaviour. Estimates of the energy content of alcoholic drinks tended to be inaccurate and the majority of participants supported the introduction of calorie labelling on alcoholic drinks. CONCLUSIONS: Calorie labelling of alcoholic drinks resulted in small reductions to intended drinking and testing of the effect calorie labelling has on behaviour in real-world settings is now warranted.

Non-alcoholic fatty liver disease and alcoholic liver disease, the two most prevalent liver diseases worldwide, share a common pathology but have largely been considered disparate diseases. Liver diseases are widely underestimated, but their prevalence is increasing worldwide.

The Western diet (high-fat, high-sugar) and binge drinking (rapid consumption of alcohol in a short period of time) are two highly prevalent features of standard life in the United States, and both are linked to the development and progression of liver disease. Yet, few studies have been conducted to elucidate their potential interactions. Data shows binge drinking is on the rise in several age groups, and poor dietary trends continue to be prevalent.

This review serves to summarize the sparse findings on the hepatic consequences of the combination of binge drinking and consuming a Western diet, while also drawing conclusions on potential future impacts. The data suggest the potential for a looming liver disease epidemic, indicating that more research on its progression as well as its prevention is needed on this critical topic.

INTRODUCTION: In recent years, beverage composition of total alcohol consumption has changed substantially in Sweden. As beverage choice is strongly associated with drinking practices, our paper aims to analyse trends in beverage composition of alcohol consumption by age, period and cohort. METHODS: Age-period-cohort (APC) analysis was conducted using monthly data from the Swedish Alcohol Monitoring Survey (2003-2018). The sample consisted of n = 260 633 respondents aged 16-80 years. APC analysis was conducted on drinkers only (n = 193 954; 96 211 males, 97 743 females). Beverage composition was defined as the beverage-specific proportion of total intake in litre ethanol. Fractional multinomial logit regression was applied to estimate the independent effects of age, period and cohort on trends in beverage composition. RESULTS: Regression models revealed statistically significant effects of age on all beverages except for medium-strength beer and spirits in males. Controlling for age and cohort, decreasing trends were found over time for medium-strength beer and spirits. The proportion of regular beer increased statistically significantly in males and the proportion of wine in females, whereas the trends for the opposite sex remained stable in each case. Predictions for cohorts showed statistically significant decreasing trends for medium-strength beer in males, lower proportions for regular beer and higher proportions for spirits in the youngest cohorts. DISCUSSION AND CONCLUSIONS: The increasing proportion of wine drinking, which is associated with less risky drinking practices, may decrease alcohol-related morbidity and mortality. Increasing proportions of spirits in the youngest cohorts raises concerns of a possible revival in spirits consumption among the youngest.

Existing studies addressing alcohol consumption have not captured the multidimensionality of drinking patterns, including drinking frequency, binge drinking, beverage preference and changes in these measures across the adult life course.

We examined longitudinal trends in drinking patterns and their association with diet over four decades in ageing US adults from the Framingham Offspring Study (n 4956; baseline mean age 36.2 years). Alcohol intake (drinks/week, drinking frequency, beverage-specific consumption, drinks/occasion) was assessed quadrennially from examinations 1 to 8.

Participants were classified as binge drinkers, moderate drinkers or heavy drinkers (4+ and 5+ drinks/occasion; 7 and >14 drinks/week for women and men, respectively). Dietary data were collected by a FFQ from examinations 5 to 8 (1991-2008). We evaluated trends in drinking patterns using linear mixed effect models and compared dietary intake across drinking patterns using heterogeneous variance models. Alcohol consumption decreased from 1971 to 2008 (3.7 v. 2.2 oz/week; P < 0.05).

The proportion of moderate (66 v. 59.3 %), heavy (18.4 v. 10.5 %) and binge drinkers (40.0 v. 12.3 %) declined (P < 0.05). While average wine consumption increased (1.4 v. 2.2 drinks/week), beer (3.4 v. 1.5 drinks/week) and cocktail intake (2.8 v. 1.2 drinks/week) decreased.

Non-binge drinkers consumed less sugary drinks and more whole grains than binge drinkers, and the latter consumed more total fat across all examinations (P < 0.05). There was a significant difference in consumption trends of total grains by drinking level (P < 0.05).

In conclusion, alcohol drinking patterns are unstable throughout adulthood. Higher intakes were generally associated with poorer diets. These analyses support the nuanced characterisation of alcohol consumption in epidemiological studies.

AIMS: The aims of the article are (a) to estimate coverage rates (i.e. the proportion of 'real consumption' accounted for by a survey compared with more reliable aggregate consumption data) of the total, the recorded and the beverage-specific annual per capita consumption in 23 European countries, and (b) to investigate differences between regions, and other factors which might be associated with low coverage (prevalence of heavy episodic drinking [HED], survey methodology).

METHODS: Survey data were derived from the Standardised European Alcohol Survey and Harmonising Alcohol-related Measures in European Surveys (number of surveys: 39, years of survey: 2008-2015, adults aged 20-64 years). Coverage rates were calculated at the aggregated level by dividing consumption estimates derived from the surveys by alcohol per capita estimates from a recent global modelling study. Fractional response regression models were used to examine the relative importance of the predictors.

RESULTS: Large variation in coverage across European countries was observed (average total coverage: 36.5, 95% confidence interval [CI] [33.2; 39.8]), with lowest coverage found for spirits consumption (26.3, 95% CI [21.4; 31.3]). Regarding the second aim, the prevalence of HED was associated with wine- and spirits-specific coverage, explaining 10% in the respective variance. However, neither the consideration of regions nor survey methodology explained much of the variance in coverage estimates, regardless of the scenario.

CONCLUSION: The results reiterate that alcohol survey data should not be used to compare or estimate aggregate consumption levels, which may be better reflected by statistics on recorded or total per capita consumption.

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