Alcohol consumption and its correlation with medical conditions: a UK Biobank study.

Background: Alcohol consumption has been associated with the occurrence of many health conditions. We analyzed UK Biobank data to explore associations of various conditions to type and amount of alcohol consumed. UK Biobank is a large biomedical database providing information from UK participants, including lifestyle questionnaires and diagnosis data. Methods: Using UK Biobank, we examined the relationship between weekly alcohol consumption, alcohol type and the incidence of eight select conditions. We calculated counts of individuals consuming each type diagnosed with these conditions. To assess the effect of alcohol consumption on each condition's prevalence, we used log-logistic regression models to generate dose-response models for each alcohol type. Results: The alcohol consumed included: red wine (228,439 participants), white wine (188811), beer (182648), spirits (129418), and fortified wine (34598). We observed increased condition prevalence with increasing amounts of alcohol. This was especially seen for chronic obstructive lung disease, cirrhosis of liver, hypertension, gastritis, and type 2 diabetes. Beer consumers showed higher prevalence for most conditions while fortified wine had the largest increases in incidence rates. Only white wine showed decreased incidence for acute myocardial infarction. In general, the prevalence of many conditions was higher among alcohol consumers, particularly for hypertension, 33.8%, compared to 28.6% for non-drinkers. Conclusion: Although many conditions were already prevalent among non-drinkers, participants consuming increasing amounts of alcohol had increased incidence rates for many of the studied conditions. This was especially true for consumers of beer and fortified wine, but also true to a lesser extent for consumers of spirits, red and white wine.

Alcohol type and ideal cardiovascular health among adults of the Multi-Ethnic Study of Atherosclerosis.

BACKGROUND: Light to moderate alcohol consumption is associated with favorable cardiovascular health (CVH). However, the association between alcohol type and ideal CVH has not been well-established. We examined the relationship between alcohol type and ideal CVH as measured by the American Heart Association's seven CVH metrics. METHODS: We analyzed data from 6,389 men and women aged 45-84 years from a multi-ethnic cohort free of cardiovascular disease. Alcohol type (wine, beer and liquor) was categorized as never, former, 0 but drink other alcohol types, >0 but <1 drink/day, 1-2 drinks/day and >2 drinks/day. A CVH score ranging from 0 to 14 points was created from the seven CVH metrics (Inadequate score, 0-8; average, 9-10; optimal, 11-14). We used multinomial logistic regression to examine the association between alcohol type and CVH, adjusting for age, sex, race/ethnicity, education, income, health insurance, field site and total calorie intake. RESULTS: The mean (SD) age of participants was 62 (10) years and 53 % were women. Participants who consumed 1-2 drinks/day of wine had higher odds of optimal CVH scores compared to those who never drank wine [adjusted prevalence odds ratio (POR) 1.64 (1.12-2.40)]. In comparison to participants who never drank beer, those who consumed >2 drinks/day of beer had lower odds of optimal CVH scores [0.31 (0.14-0.69)]. Additionally, those who consumed >2 drinks/day of liquor had lower odds of optimal scores compared to those who never drank liquor [0.32 (0.16-0.65)]. CONCLUSION: Moderate consumption of wine was associated with favorable CVH. However, heavy consumption of beer or liquor was associated with poorer CVH.

Trends in Alcohol Intake and the Association between Socio-Demographic Factors and Volume of Alcohol Intake amongst Adult Male Drinkers in China.

Background: The volume of alcohol intake and type of alcohol affect Chinese men's health. This study investigated changes of alcohol type between 2004 and 2011, explored the trend of change in alcohol type with age and determined the social demographic factors influencing the alcohol intake of Chinese men. Methods: Research data originated from the public database, China Health and Nutrition Survey (CHNS). Three chi-square tests were used to determine the prevalence of different alcohol types (beer, wine and liqueur) and the trend with age among male drinkers from 2004 to 2011. An ordered logistic regression model was established with alcohol intake as the dependent variable and social demography as the independent variable to analyze the influence of these factors on male alcohol intake. Results: This study confirmed that from 2004 to 2011, 70.1% of Chinese men consumed alcohol less than 168 g/w. The popularity of beer was on the rise, while the liqueur alcohol consumption decreased from 2004 to 2011 and the consumption of wine began to rise rapidly after 2006 (p < 0.05 for all). The prevalence of liqueur drinking increased with age and the prevalence of beer drinking decreased with age among Chinese male drinkers (p < 0.05 for all). From 2004 to 2011, a positive correlation appeared between age and male alcohol intake (p < 0.05 for all). In 2004 (OR = 1.22, 95% CI: 1.03⁻1.44), 2006 (OR = 1.21, 95% CI: 1.02⁻1.42) and 2011 (OR = 1.51, 95% CI: 1.31⁻1.75), Chinese men living in rural areas had a high volume of alcohol intake. From 2004 to 2011, the participants had married consumed more alcohol (p < 0.05 for all). In 2004 (OR = 0.61, 95% CI: 0.43⁻0.88) and 2011 (OR = 0.80, 95% CI: 0.68⁻0.94), higher education levels were negatively correlated with male alcohol intake. In 2006 (OR = 1.29, 95% CI: 1.07⁻1.56), 2009 (OR = 1.76, 95% CI: 1.45⁻2.14) and 2011 (OR = 1.35, 95% CI: 1.13⁻1.61), male drinkers who were working consumed more alcohol. From 2004 to 2011, a significant positive correlation appeared between tobacco consumption and alcohol intake (p < 0.05 for all). Conclusion: Consumption of three types of alcohol (beer, wine and liqueur) varies with the year. Beer consumption decreases with age, whereas liqueur consumption increases with age. Social demographic factors, such as residence, age, highest education level, working status and tobacco consumption, are related to alcohol intake. Our study affirms the effect of age on the choice of different types of alcohol.