27 July 2018 In Cardiovascular System

BACKGROUND: Binge drinking prevalence rates are highest in young adults; however, little is known about the effects of binge drinking on blood pressure (BP) and other cardiovascular health metrics in individuals between 18 and 45 years of age. The aim of this study was to determine the effects of regular binge drinking on BP, lipid and glucose levels and to determine if there were differences in these associations between men and women.

METHODS AND RESULTS: We analyzed data from NHANES (the US National Health and Nutrition Examination Survey) for men and women 18 to 45 years old who were non-binge drinkers, binge drank 1 to 12 times, or binge drank >12 times in the past year. After controlling for diet and physical activity, both categories of men binge drinkers compared with non-binge drinkers had higher systolic BP (121.8 and 119.0 mm Hg versus 117.5 mm Hg) and total cholesterol (215.5 and 217.9 mg/dL versus 207.8 mg/dL) values. There were no effects of binge drinking on systolic BP or total cholesterol in women. Binge drinking in men and women was associated with higher high-density lipoprotein-cholesterol values. The effects of binge drinking on glucose parameters in men and women were variable.

CONCLUSIONS: Compared with young adult women, repeated binge drinking in men was associated with an elevated systolic BP, and greater frequency of binge drinking in men was associated with a more unfavorable lipid profile. In young adults with elevated systolic BP, practitioners should consider the possible role of binge drinking and address the importance of reducing alcohol intake as an important cardiovascular risk reduction strategy.

27 July 2018 In Cardiovascular System

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.

18 May 2018 In General Health

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.

18 May 2018 In General Health

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.

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