Drinking Patterns

Drinking Patterns (50)

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

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.

AIMS: Alcohol use disorders (AUDs) are highly disabling neuropsychiatric conditions. Although evidence suggests a high burden of AUDs in young adults, few studies have investigated their life course predictors. It is crucial to assess factors that may influence these disorders from early life through adolescence to deter AUDs in early adulthood by tailoring prevention and intervention strategies. This review aims to assess temporal links between childhood and adolescent predictors of clinically diagnosed AUDs in young adults.

METHODS: We systematically searched PubMed, Scopus, PsycINFO and Embase databases for longitudinally assessed predictors of AUDs in young adults. Data were extracted and assessed for quality using the Newcastle-Ottawa quality assessment tool for cohort studies. We performed our analysis by grouping predictors under six main domains.

RESULTS AND CONCLUSION: Twenty two studies met the eligibility criteria. The outcome in all studies was measured according to the Diagnostic Statistical Manual of Mental Disorders. Our review suggests strong links between externalizing symptoms in adolescence and AUDs in young adulthood, as well as when externalizing symptoms co-occur with illicit drug use. Findings on the role of internalizing symptoms and early drinking onset were inconclusive. Environmental factors were influential but changed over time. In earlier years, maternal drinking predicted early adult AUD while parental monitoring and school engagement were protective. Both peer and parental influences waned in adulthood. Further high-quality large longitudinal studies that identify distinctive developmental pathways on the aetiology of AUDs and assess the role of early internalizing symptoms and early drinking onset are warranted.

The purpose of this study was to investigate the association between drinking patterns and health-related quality of life (HRQoL) in the Korean general population and to validate the estimation of the association of alcohol use on HRQoL when former drinkers are separated from never drinkers and low-risk drinkers depending on gender. Data were collected from 23,055 adults (over 19 years old) who completed the Korean National Health and Nutritional Examination Survey (2010-2013).

Multivariate logistic and linear regression analyses were performed to investigate the association between drinking patterns and HRQoL. When former drinkers were separated from never drinkers and low-risk drinkers to control for misclassification bias, there were gender differences in the associations between alcohol use and HRQoL. Although the estimation of the association of alcohol use was not valid in men, the estimation of association was valid in women, as low-risk women drinkers showed better HRQoL than nondrinkers.

Therefore, when conducting research related to alcohol and health, analyses should correct for the various confounding variables and minimize the misclassification bias of drinking patterns. It is also necessary to consider gender characteristics when intervening to improve HRQoL related to drinking.

BACKGROUND AND AIMS: Alcohol consumption is an important risk factor for cardiovascular morbidity and mortality worldwide. The highest levels of alcohol consumption are observed in Europe, where alcohol as contributing cause of coronary heart disease (CHD) is also most significant. We aimed to describe alcohol consumption patterns across European regions and adherence to the current guidelines in patients with a recent CHD event. METHODS: The ESC-EORP survey (EUROASPIRE V) has been conducted in 2016-2017 at 131 centers in 27 European countries in 7350 patients with a recent CHD. Median alcohol consumption, as well as the proportion of abstainers and excessive drinkers (i.e. >70 g/week for women and >140 for men, as recommended by the European guidelines on cardiovascular prevention), was calculated for each region. To assess adherence to guidelines, proportions of participants who were advised to reduce excessive alcohol consumption and participants who were incorrectly not advised were calculated per region. RESULTS: Mean age was 64 years (SD: 9.5), 75% were male. Abstention rates were 53% in males and 77% in females, whereas excessive drinking was reported by 9% and 5% of them, respectively. Overall, 57% of the participants were advised to reduce alcohol consumption. In the total population, 3% were incorrectly not advised, however, this percentage differed per region (range: 1%-9%). In regions where alcohol consumption was highest, participants were less often advised to reduce their consumption. CONCLUSION: In this EUROASPIRE V survey, the majority of CHD patients adhere to the current drinking guidelines, but substantial heterogeneity exists between European regions.

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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