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.

 

 

There is no available abstract for this article.
The determination of appropriate dietary strategies for the prevention of chronic degenerative diseases, cancer, diabetes, and cardiovascular diseases remains a challenging and highly relevant issue worldwide. Epidemiological dietary interventions have been studied for decades with contrasting impacts on human health. Moreover, research scientists and physicians have long debated diets encouraging alcohol intake, such as the Mediterranean and French-style diets, with regard to their impact on human health. Understanding the effects of these diets may help to improve in the treatment and prevention of diseases. However, further studies are warranted to determine which individual food components, or combinations thereof, have a beneficial impact on different diseases, since a large number of different compounds may occur in a single food, and their…
Research that is poorly communicated or presented is as potentially damaging as research that is poorly conducted or fraudulent. Recent examples illustrate how the problem often lies with researchers, not press officers or journalists. The quest for publication and 'impact' must not outweigh the importance of accurate representation of science; herein, we suggest steps that researchers, journalists and press officers can take to help ensure this.
This study investigated the potential effect of therapeutic doses of acetaminophen (APAP) in combination with light-moderate amounts of alcohol on kidney functions controlling for factors such as hypertension, diabetes and obesity that may predispose the kidney to APAP and/or alcohol toxicity. Secondary analysis of the 2003-2004 National Health and Nutrition Examination Survey data was performed using SAS 9.4. Odds ratios (OR) and 95% confidence intervals (CI) comparing the likelihood that individuals who ingested therapeutic doses of APAP and light-moderate amount of alcohol, compared to those who did not, would have kidney dysfunction were generated from multiple logistics regression models by further controlling for potential predisposing factors namely hypertension, diabetes and obesity. Kidney dysfunction was defined based on self-reports and laboratory…
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