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.

 

 

AIMS: To review the effectiveness of workplace interventions in reducing alcohol consumption among employees. METHODS: Systematic search of science databases from inception till May 2018 for trials where an intervention was tested against a control and data presented as amount of alcohol consumed per week. Quality of trials was assessed by Cochrane risk of bias tool. Meta-analysis was performed with random-effects model and pooled mean difference (MD) was reported with 95% confidence interval. Publication bias was assessed using Egger's test. RESULTS: Seven trials with 1291 participants could be included. No outcome assessments were blinded. There was positive effect of workplace intervention on reduction of alcohol consumption with pooled MD of -2.25 [95% CI: -4.20 to -0.30]. The effect was only…
This paper aims to analyse Generation Y consumers'preferences for, interest in and attitudes towards different formats of health warnings onwine labels in two countries with different legal approaches: France and Italy. A Discrete Choice Experiment was realized on a sample of 500wine consumers. Three warning options were applied: the long-term effect of drinking (brain damage); a short-term effect (car crash) and nowarning option. Four attributes composed the choice set: alcohol content; framing of warning statement; warning size and position. Findingsreveal that both the general degree of attention to the label and the level of visibility of the warnings are low, as are their effectiveness inchanging consumption. Generation Y tend to prefer the "no logo option", short-term effects warnings and a…
INTRODUCTION: Past research examining the relationship between alcohol use and weight status has not differentiated among classes of obesity. There is limited research investigating whether adults trying to lose weight consume less alcohol. METHODS: In 2018-2019, the authors analyzed 2011-2016 National Health and Nutrition Examination Survey data for nonpregnant adults aged >/=20 years with BMI >/=18.5 kg/m(2). Multinomial and binomial logistic regression and linear regression were used to test associations between (1) past-year alcohol use and current weight status, differentiating among Class 1, 2, and 3 obesity, and (2) past-year weight loss attempt and alcohol use, controlling for potential confounders. Analyses were stratified by sex. RESULTS: Male current drinkers versus nondrinkers had lower odds of Class 3 obesity versus healthy…
The relationship between alcohol drinking and chronic kidney damage, mainly including declined glomerular filtration rate (GFR), proteinuria, and end-stage renal disease, was conflicting. Thus, a meta-analysis was conducted to investigate their potential associations. PubMed and Web of Science were searched to identify prospective studies assessing the associations between alcohol drinking and chronic kidney damage published up to March 2019. Random-effects model was employed to pool the relative risks (RR) with 95% confidence intervals (CIs). Subgroup meta-analyses stratified by the basic characteristics of subjects were performed. A total of 15 cohort studies were included in the present study, with 268,723 participants and 31,766 incident cases. Participants with low (/=60 g/d) insignificantly increased 7% risk of chronic kidney damage (RR: 1.07, 95%…
BACKGROUND: Alcohol consumption is a common modifiable lifestyle factor. Alcohol may be a risk factor for frailty, however, there is limited evidence in the literature. OBJECTIVE: The objectives of this study were to examine the association of alcohol consumption with the risk of incident frailty. METHODS: This is a prospective panel study of 2544 community-dwelling people aged 60 years and older in England. Frailty status defined by frailty phenotype criteria was measured at baseline and 4 years later. Participants free of frailty at baseline were divided into 5 groups based on quantity of self-reported alcohol consumption per week with cut-points at 0, 7, 14, and 21 UK units per week. Adjusted odds ratios (OR) were calculated for incident frailty according…
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