Wine Information Council

The present study examines how alcohol intake from wine and non-wine alcoholic beverages (non-wine) in g/d, as well as cups of coffee and tea included as continuous covariates and mutually adjusted are associated with all-cause, cancer, non-cancer and CVD mortality. Consumption was assessed in 354 386 participants of the UK Biobank cohort who drank alcohol at least occasionally and survived at least 2 years after baseline with 20 201 deaths occurring over 4.2 million person-years.

Hazard ratios (HR) for mortality were assessed with Cox proportional hazard regression models and beverage intake fitted as penalised cubic splines. A significant U-shaped association was detected between wine consumption and all-cause, non-cancer and CVD mortality. Wine consumption with lowest risk of death (nadir) ranged from 19 to 23 g alcohol/d in all participants and both sexes separately. In contrast, non-wine intake was significantly and positively associated in a dose-dependent manner with all mortality types studied except for CVD in females and with the nadir between 0 and 12 g alcohol/d.

In all participants, the nadir for all-cause mortality was 2 cups coffee/d with non-coffee drinkers showing a slightly increased risk of death. Tea consumption was significantly and negatively associated with all mortality types in both sexes. Taken together, light to moderate consumption of wine but not non-wine is associated with decreased all-cause and non-cancer mortality. A minor negative association of coffee consumption with mortality cannot be excluded whereas tea intake is associated with a consistently decreased risk of all mortality types studied.

BACKGROUND: Excessive alcohol consumption is associated with poor diet. Mixed reports in literature, so far, emphasize on the detailed understanding of relationships between diet composition and binge drinking at different drinking thresholds.

OBJECTIVE: We examined the association of alcohol consumption thresholds with macronutrient composition, caloric intake and anthropometric measures from the NHANES 2017-2018 dataset.

METHODS: A total of 2320 participants' data were analyzed. Energy and nutrient content from daily food and beverage intake were assessed via two dietary recall interviews. Physical examination and Alcohol Use Questionnaire including details about lifetime and current usage patterns were obtained. Correlations were evaluated using the Rao-Scott F Adjusted Chi-square statistic and Wald F-test. Sample-weighted multiple linear regression models were built to analyze the associations among volume of alcohol consumed, weight history and macronutrient intake.

RESULTS: Waist circumference was significantly higher in 0- < 4 drinks/episode (low-quantity) drinkers than 4-7 drinks/episode (medium-quantity) and 8-11 drinks/episode (high-quantity) drinkers. High-quantity drinkers consumed significantly more kilocalories (2569.91) compared with low-quantity drinkers (2106.73). Low-quantity drinkers consumed more energy from carbohydrate and fat than medium and high-quantity drinkers. Very high-quantity drinkers (12+ drinks/episode) consumed less fiber (12.81 g) than low-quantity drinkers (16.67 g).

CONCLUSIONS: We observed an association between high alcohol intake and differences in eating habits and body composition. The findings suggest a need to compare more specific drinking patterns and their impact on nutrient intake. Although some results conflicted with previous studies, the mechanisms underlying alcohol's effect on ingestive and digestive metabolic pathways are still unclear and require further investigation.

ISSUES: Numerous studies have examined the impact of the COVID-19 pandemic on alcohol use changes in Europe, with concerns raised regarding increased use and related harms.

APPROACH: We synthesised observational studies published between 1 January 2020 and 31 September 2021 on self-reported changes in alcohol use associated with COVID-19. Electronic databases were searched for studies evaluating individual data from European general and clinical populations. We identified 646 reports, of which 56 general population studies were suitable for random-effects meta-analyses of proportional differences in alcohol use changes. Variations by time, sub-region and study quality were assessed in subsequent meta-regressions. Additional 16 reports identified were summarised narratively.

KEY FINDINGS: Compiling reports measuring changes in overall alcohol use, slightly more individuals indicated a decrease than an increase in their alcohol use during the pandemic [3.8%, 95% confidence interval (CI) 0.00-7.6%]. Decreases were also reported more often than increases in drinking frequency (8.0%, 95% CI 2.7-13.2%), quantity consumed (12.2%, 95% CI 8.3-16.2%) and heavy episodic drinking (17.7%, 95% CI 13.6-21.8%). Among people with pre-existing high drinking levels/alcohol use disorder, high-level drinking patterns appear to have solidified or intensified.

IMPLICATIONS: Pandemic-related changes in alcohol use may be associated with pre-pandemic drinking levels. Increases among high-risk alcohol users are concerning, suggesting a need for ongoing monitoring and support from relevant health-care services.

CONCLUSION: Our findings suggest that more people reduced their alcohol use in Europe than increased it since the onset of the pandemic. However high-quality studies examining specific change mechanisms at the population level are lacking.

OBJECTIVES: To evaluate the associations of status, amount, and frequency of alcohol consumption across different alcoholic beverages with coronavirus disease 2019 (COVID-19) risk and associated mortality.

MANDATE: This study included 473,957 subjects, 16,559 of whom tested positive for COVID-19. Multivariate logistic regression analyses were used to evaluate the associations of alcohol consumption with COVID-19 risk and associated mortality. The non-linearity association between the amount of alcohol consumption and COVID-19 risk was evaluated by a generalized additive model.

RESULTS: Subjects who consumed alcohol double above the guidelines had a higher risk of COVID-19 (1.12 [1.00, 1.25]). Consumption of red wine above or double above the guidelines played protective effects against the COVID-19. Consumption of beer and cider increased the COVID-19 risk, regardless of the frequency and amount of alcohol intake. Low-frequency of consumption of fortified wine (1-2 glasses/week) within guidelines had a protective effect against the COVID-19. High frequency of consumption of spirits (>/=5 glasses/week) within guidelines increased the COVID-19 risk, whereas the high frequency of consumption of white wine and champagne above the guidelines decreased the COVID-19 risk. The generalized additive model showed an increased risk of COVID-19 with a greater number of alcohol consumption. Alcohol drinker status, frequency, amount, and subtypes of alcoholic beverages were not associated with COVID-19 associated mortality.

CONCLUSIONS: The COVID-19 risk appears to vary across different alcoholic beverage subtypes, frequency, and amount. Red wine, white wine, and champagne have chances to reduce the risk of COVID-19. Consumption of beer and cider and spirits and heavy drinking are not recommended during the epidemics. Public health guidance should focus on reducing the risk of COVID-19 by advocating healthy lifestyle habits and preferential policies among consumers of beer and cider and spirits.