OBJECTIVE: To investigate the association between alcohol consumption (at baseline and over lifetime) and non-fatal and fatal coronary heart disease (CHD) and stroke.
DESIGN: Multicentre case-cohort study.
SETTING: A study of cardiovascular disease (CVD) determinants within the European Prospective Investigation into Cancer and nutrition cohort (EPIC-CVD) from eight European countries.
PARTICIPANTS: 32 549 participants without baseline CVD, comprised of incident CVD cases and a subcohort for comparison.
MAIN OUTCOME MEASURES: Non-fatal and fatal CHD and stroke (including ischaemic and haemorrhagic stroke).
RESULTS: There were 9307 non-fatal CHD events, 1699 fatal CHD, 5855 non-fatal stroke, and 733 fatal stroke. Baseline alcohol intake was inversely associated with non-fatal CHD, with a hazard ratio of 0.94 (95% confidence interval 0.92 to 0.96) per 12 g/day higher intake. There was a J shaped association between baseline alcohol intake and risk of fatal CHD. The hazard ratios were 0.83 (0.70 to 0.98), 0.65 (0.53 to 0.81), and 0.82 (0.65 to 1.03) for categories 5.0-14.9 g/day, 15.0-29.9 g/day, and 30.0-59.9 g/day of total alcohol intake, respectively, compared with 0.1-4.9 g/day. In contrast, hazard ratios for non-fatal and fatal stroke risk were 1.04 (1.02 to 1.07), and 1.05 (0.98 to 1.13) per 12 g/day increase in baseline alcohol intake, respectively, including broadly similar findings for ischaemic and haemorrhagic stroke. Associations with cardiovascular outcomes were broadly similar with average lifetime alcohol consumption as for baseline alcohol intake, and across the eight countries studied. There was no strong evidence for interactions of alcohol consumption with smoking status on the risk of CVD events.
CONCLUSIONS: Alcohol intake was inversely associated with non-fatal CHD risk but positively associated with the risk of different stroke subtypes. This highlights the opposing associations of alcohol intake with different CVD types and strengthens the evidence for policies to reduce alcohol consumption.
BACKGROUND: Findings from studies of alcohol and obesity measures (eg, waist circumference [WC] and body mass index [BMI; calculated as kg/m(2)]) are conflicting. Residual confounding by dietary intake, inconsistent definitions of alcohol consumption across studies, and the inclusion of former drinkers in the nondrinking comparison group can contribute to the mixed literature.
OBJECTIVE: This study examines associations of alcoholic beverage consumption with dietary intake, WC, and BMI.
DESIGN: Cross-sectional data from the 2003-2012 National Health and Nutrition Examination Survey were analyzed.
PARTICIPANTS/SETTING: Adults 20 to 79 years of age (n=7,436 men; n=6,939 women) were studied.
MAIN OUTCOME MEASURES: Associations of alcoholic beverage consumption with energy (kcal), macronutrient and sugar intakes (% kcal), WC, and BMI were determined.
STATISTICAL ANALYSES PERFORMED: Multivariable linear regression models were used to determine associations of average daily volume and drinking quantity (ie, drinks per drinking day) with dietary intake and obesity measures. Former and never drinkers were analyzed as distinct categories; associations of drinking with WC and BMI were examined with and without adjustment for dietary intake variables.
RESULTS: Heavier-drinking men (>/=3 drinks/day) and women (>/=2 drinks/day) consumed less nonalcoholic energy (beta -252 kcal/day, 95% CI -346 to -159 kcal/day and beta -159 kcal/day, 95% CI -245 to -73 kcal/day, respectively) than moderate drinkers (1 to 2 drinks/day in men and 1 drink/day in women). By average daily drinking volume, differences in WC and BMI between former and moderate drinkers were +1.78 cm (95% CI 0.51 to 3.05 cm) and +0.65 (95% CI 0.12 to 1.18) in men and +4.67 cm (95% CI 2.95 to 6.39 cm) and +2.49 (95% CI 1.64 to 3.34) in women. Compared with moderate drinking, heavier drinking volume was not associated with WC or BMI among men or women. In men, drinking >/=5 drinks/drinking day was associated with higher WC (beta 3.48 cm, 95% CI 1.97 to 5.00 cm) and BMI (beta 1.39, 95% CI 0.79 to 2.00) compared with men who consumed 1 to 2 drinks/drinking day. In women, WC and BMI were not significantly different for women drinking >/=4 drinks/drinking day compared with 1 drink/drinking day.
CONCLUSIONS: Differences in dietary intake across drinking subgroups and separation of former drinkers from nondrinkers should be considered in studies of alcohol intake in relation to WC and BMI.
Background -Americans have a shorter life expectancy compared with residents of almost all other high-income countries. We aim to estimate the impact of lifestyle factors on premature mortality and life expectancy in the US population.
Methods -Using data from the Nurses' Health Study (1980-2014; n=78 865) and the Health Professionals Follow-up Study (1986-2014, n=44 354), we defined 5 low-risk lifestyle factors as never smoking, body mass index of 18.5 to 24.9 kg/m(2), >/=30 min/d of moderate to vigorous physical activity, moderate alcohol intake, and a high diet quality score (upper 40%), and estimated hazard ratios for the association of total lifestyle score (0-5 scale) with mortality. We used data from the NHANES (National Health and Nutrition Examination Surveys; 2013-2014) to estimate the distribution of the lifestyle score and the US Centers for Disease Control and Prevention WONDER database to derive the agespecific death rates of Americans. We applied the life table method to estimate life expectancy by levels of the lifestyle score.
Results -During up to 34 years of follow-up, we documented 42 167 deaths. The multivariable-adjusted hazard ratios for mortality in adults with 5 compared with zero low-risk factors were 0.26 (95% confidence interval [CI], 0.22-0.31) for all-cause mortality, 0.35 (95% CI, 0.27-0.45) for cancer mortality, and 0.18 (95% CI, 0.12-0.26) for cardiovascular disease mortality. The population-attributable risk of nonadherence to 5 low-risk factors was 60.7% (95% CI, 53.6-66.7) for all-cause mortality, 51.7% (95% CI, 37.1-62.9) for cancer mortality, and 71.7% (95% CI, 58.1-81.0) for cardiovascular disease mortality. We estimated that the life expectancy at age 50 years was 29.0 years (95% CI, 28.3-29.8) for women and 25.5 years (95% CI, 24.7-26.2) for men who adopted zero low-risk lifestyle factors. In contrast, for those who adopted all 5 low-risk factors, we projected a life expectancy at age 50 years of 43.1 years (95% CI, 41.3-44.9) for women and 37.6 years (95% CI, 35.8-39.4) for men. The projected life expectancy at age 50 years was on average 14.0 years (95% CI, 11.8-16.2) longer among female Americans with 5 lowrisk factors compared with those with zero low-risk factors; for men, the difference was 12.2 years (95% CI, 10.1-14.2).
Conclusions -Adopting a healthy lifestyle could substantially reduce premature mortality and prolong life expectancy in US adults.
The introduction of the term "French Paradox" motivated an extensive and in-depth research into health benefits of moderate wine consumption. The superiority of wine is thought to be attributed to its micro-constituents and consequent effort was made to isolate and identify these bioactive compounds as well as to elucidate the mechanisms of their action. Controlled trials offer more concrete answers to several raised questions than observational studies. Under this perspective, clinical trials have been implemented, mainly in healthy volunteers and rarely in patients, in order to investigate the acute or chronic effect of wine consumption on metabolism and physio-pathological systems, which are mainly associated with cardiovascular diseases. The aim of this review is to update the knowledge about the acute and long term effect of wine consumption on lipid and glucose/insulin metabolism as well as on the inflammatory and haemostatic systems, based on the reported data of controlled clinical trials. In conclusion, the most repeated result of wine consumption is on lipid metabolism, attributed mainly to ethanol, while wine micro-constituents seem to have an important role mainly in haemostatic and inflammatory/endothelial systems.