General Health

Moderate wine drinkers have a lower risk to die from any cause (lower total  mortality risk) than those who abstain or drink heavily. This widely accepted association is known as the J-curve. This J-curve is attributable to the beneficial effect on cardiovascular health which compensates the negative effects of some cancers resulting in a lower risk to die from any possible cause. The relative risk of dying is lowest among light to moderate drinkers and increased among abstainers. However, the risk increases dramatically with each drink above moderation. Thus, while one or two glasses can be considered “good for your health”, drinking more than what guidelines suggest will not provide more benefits, only more harm.


If consumed in excess, alcoholic beverages increase the exposure to a wide range of risk factors whereby the risk rises with the amount of alcohol consumed. Thus, it is crucial to prevent abusive consumption. Alcohol abuse is associated with a range of long-term chronic diseases that reduce the quality of life. These include hypertension, cardiovascular problems, cirrhosis of the liver, alcohol dependence, various forms of cancer, alcohol-related brain damage and a range of other problems. Not only the amount of alcohol but also the drinking patterns are important. Findings from a meta analysis support results from other studies that binge drinking is detrimental to heart health. The authors concluded that it is best for drinkers to avoid binge drinking -- not only because of the possible heart effects, but also because of more immediate risks, like accidents and violence.


In addition to health issues resulting from excessive alcohol consumption, there are social consequences, both for the drinker and for others in the community. The consequences include harm to family members (including children), to friends and colleagues as well as to bystanders and strangers.


The above summary provides an overview of the topic, for more details and specific questions, please refer to the articles in the database.



OBJECTIVE(S): Moderate alcohol consumption has been found to be associated with lower risk of coronary heart disease and myocardial infarction, which share similar risk factors and pathophysiology with chronic kidney disease (CKD). However, there is inconsistent evidence on the association between alcohol consumption and CKD. DESIGN AND METHODS: We conducted a prospective analysis of 12,692 participants aged 45-64 years from the Atherosclerosis Risk in Communities (ARIC) study. We categorized participants into 6 alcohol consumption categories: never drinkers, former drinkers, /=15 drinks per week based on food frequency questionnaire responses at visit 1 (1987-1989). Incident CKD was defined as estimated glomerular filtration rate /=25% estimated glomerular filtration rate decline, a kidney disease-related hospitalization or death or end-stage renal disease. RESULTS: During…
AIMS: The current meta-analysis tested independent and composite associations of three commonly studied alcohol metabolism alleles with alcohol use disorder (AUD) within East Asians as well as characterized potential moderating factors in these associations. METHODS: For meta-analysis, 32 articles were selected that investigated ALDH2 (n = 17,755), ADH1B (n = 13,591) and ADH1C (n = 4,093) associations with AUD in East Asians. RESULTS AND CONCLUSIONS: All three variants were associated with AUD across allelic and genotypic models: ALDH2, ORs = 0.25, P < 0.001; ADH1B, ORs = 0.22-0.49, P < 0.001; ADH1C, ORs = 0.26-0.46, P < 0.001. Composite analyses suggested genetic associations did not differ across ALDH2*2 and ADH1B*2, correcting for multiple comparisons. Moderation analyses suggested ADH1B was more…
BACKGROUND: Evidence suggests that people who develop serious health conditions are likely to cease drinking alcohol (sometimes known as "sick-quitters"). We quantified the likelihood of quitting drinking in relation to the onset of a variety of health conditions. METHODS: Odds ratios (ORs) and 95% confidence intervals (CIs) of ceasing alcohol consumption after diagnosis of 28 health conditions and 4 general indicators of health were derived from logistic regression among 97,852 drinkers aged >/= 45 years between baseline (2006 to 2009) and median 5.3 years of follow-up in the New South Wales 45 and Up Study. Incident health conditions at follow-up were self-reported. RESULTS: At follow-up, 9.6% (n = 9,438) of drinkers had ceased drinking. Drinking cessation was significantly associated with…
We estimated calorie intake from alcohol in Canada, overall and by gender, age, and province, and provide evidence to advocate for mandatory alcohol labelling requirements. Annual per capita (aged 15+) alcohol sales data in litres of pure ethanol by beverage type were taken from Statistics Canada's CANSIM database and converted into calories. The apportionment of consumption by gender, age, and province was based on data from the Canadian Tobacco, Alcohol and Drug Survey. Estimated energy requirements (EER) were from Canada's Food Guide. The average drinker consumed 250 calories, or 11.2% of their daily EER in the form of alcohol, with men (13.3%) consuming a higher proportion of their EER from alcohol than women (8.2%). Drinkers consumed more than one-tenth of…
BACKGROUND: Unhealthy alcohol use (UAU) is one of the major causes of preventable morbidity, mortality, and associated behavioral risks worldwide. Although mobile health (mHealth) interventions can provide consumers with an effective means for self-control of UAU in a timely, ubiquitous, and cost-effective manner, to date, there is a lack of understanding about different health outcomes brought by such interventions. The core components of these interventions are also unclear. OBJECTIVE: This study aimed to systematically review and synthesize the research evidence about the efficacy of mHealth interventions on various health outcomes for consumer self-control of UAU and to identify the core components to achieve these outcomes. METHODS: We systematically searched 7 electronic interdisciplinary databases: Scopus, PubMed, PubMed Central, CINAHL Plus with…
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