J-curve

J-curve

Moderate wine drinkers have a lower risk of dying 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 of death 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.

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