| Literature DB >> 33803089 |
Ascensión Marcos1, Lluís Serra-Majem2,3, Francisco Pérez-Jiménez2,4, Vicente Pascual5, Francisco José Tinahones2,6, Ramón Estruch2,7.
Abstract
There is growing interest in the potential health-related effects of moderate alcohol consumption and, specifically, of beer. This review provides an assessment of beer-associated effects on cardiovascular and metabolic risk factors to identify a consumption level that can be considered "moderate". We identified all prospective clinical studies and systematic reviews that evaluated the health effects of beer published between January 2007 and April 2020. Five of six selected studies found a protective effect of moderate alcohol drinking on cardiovascular disease (beer up to 385 g/week) vs. abstainers or occasional drinkers. Four out of five papers showed an association between moderate alcohol consumption (beer intake of 84 g alcohol/week) and decreased mortality risk. We concluded that moderate beer consumption of up to 16 g alcohol/day (1 drink/day) for women and 28 g/day (1-2 drinks/day) for men is associated with decreased incidence of cardiovascular disease and overall mortality, among other metabolic health benefits.Entities:
Keywords: alcohol; diabetes; moderate drinking; mortality; obesity; osteoporosis
Year: 2021 PMID: 33803089 PMCID: PMC8001413 DOI: 10.3390/nu13030879
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Low-risk drinking guidelines.
| Country. Year | 1 SDU = g Pure Alcohol | Term | Daily a,b (g Alcohol) | Weekly a,b (g Alcohol) |
|---|---|---|---|---|
| 1 SDU = 10 g | Risky consumption (starting at) | Women: 20 g | Women: 140 g | |
| 1 SDU = 10 g | Moderate consumption (upper limit) | Women: <20 g | - | |
| 1 SDU = 8 g | Low-risk drinking (upper limit) | - | Women: 112 g | |
| 1 SDU = 14 g | Moderate drinking (upper limit) | Women: 14 g | - | |
| 1 SDU c ≈ 13 g | Recommended limit | - | Women: 130 g | |
| 1 SDU = 8–20 g | Low-risk drinking (upper limits range) | Women: 10–42 g | Women: 98–140 g |
ABV: Alcohol by volume; SDU: Standard drinking unit. a When amounts were expressed in number of SDUs, they were converted to grams. b Daily and weekly values are listed as published in respective guidelines. Weekly values may not reflect a week’s worth (7 days) of daily allowance. c 13 g is inferred from the different beverages considered as 1 SDU.
Literature search terms.
| Data Base | Search Syntax | No. Articles |
|---|---|---|
| PubMed | ((Beer[MeSH Major Topic]) and (“2007”[Date—Publication]: “2020/04/01”[Date—Publication])) and (health or mortality or cardiovascular or diabetes or obesity or women or men or gender or young or adolescent or age or alcoholism) | 82 |
| Filtered by: | ||
| Clinical study | ||
| Comparative study | ||
| Multicenter study | ||
| Observational study | ||
| Randomized controlled trial | ||
| Systematic reviews | ||
| EMBASE | ‘beer’/de and ‘beer’:ab,ti and ((‘health’/de or ‘mortality’/de or ‘cardiovascular’/de or ‘diabetes’/de or ‘obesity’/de or ‘female’/de or ‘male’/de or ‘sex’/de) and difference or ‘adolescent’/de or ‘young adult’/de or ‘alcoholism’/de) and ((article)/lim or (review)/lim) and ((adolescent)/lim or (young adult)/lim or (adult)/lim or (middle aged)/lim or (aged)/lim or (very elderly)/lim) and (humans)/lim and (clinical study)/lim and (2007–2017)/py | 210 |
Papers selected for review.
| Alcohol/Beer Paper | Study Type | Related Subject |
|---|---|---|
| Osorio-Paz et al. 2019 [ | Review | CV |
| Sacanella et al. Nutr Hosp. 2019 [ | Review | CV |
| Humia et al. Molecules 2019 [ | Review | CV |
| Redondo et al. Nutr Hosp 2018 [ | Review | CV and osteoporosis |
| Padro et al. Nutrients 2018 [ | Prospective randomized cross-over | Obesity (metabolic syndrome) |
| Wood et al. Lancet. 2018 [ | System. Review/Meta | CV and Mortality |
| Toma et al. Curr Atheroscler Rep. 2017 [ | Review | CV |
| Bell et al. BMJ 2017 [ | Prospective cohort | CV |
| Polsky et al. Curr Diab Rep. 2017 [ | System. Review | Diabetes |
| Xi et al. J Am Coll Cardiol. 2017 [ | Prospective population-based cohort | Mortality |
| de Gaetano et al. Nutr Metab Cardiovasc Dis. 2016 [ | Review | CV and Mortality |
| Fresán et al. Nutrients. 2016 [ | Prospective cohort | Obesity |
| Stockwell et al. J. Stud. Alcohol Drugs. 2016 [ | System. Review/Meta | Mortality |
| Roerecke et al. BMC Med. 2014 [ | System. Review/Meta | CV |
| Bendsen et al. Nutr Rev. 2013 [ | System. Review/Meta | Obesity |
| Cullmann et al. Diabetic Medicine. 2012 [ | Prospective cohort | Diabetes |
| Roerecke et al. Addiction. 2012 [ | System. Review/Meta | CV |
| Costanzo S, et al. Eur J Epidemiol. 2011 [ | System. Review/Meta | CV |
| Yin et al. Eur J Clin Nutr. 2011 [ | Prospective cohort | Osteoporosis |
| Schütze et al. Eur J Clin Nutr 2009 [ | Prospective cohort | Obesity |
| Snow et al. Age and Ageing. 2009 [ | Prospective cohort | CV and Mortality |
| Suadicani et al. Alcohol. 2008 [ | Prospective cohort | Mortality |
| Mukamal et al. Osteoporos Int. 2007 [ | Prospective population-based cohort | Osteoporosis |
CV. Cardiovascular.
Summary of the main cardiovascular (CV) studies.
| Study | Design (Mean/Median Years of Follow-Up) |
| Categories of Consumption/Type of Drink | Variables | Reference Group (HR = 1) | Outcomes/Conclusions b |
|---|---|---|---|---|---|---|
| Costanzo et al., 2011 [ | Systematic review-meta-analysis | 12 prospective studies ( | Wine, beer, and spirits | Fatal non-fatal CHD, CHD, CVD, AMI, stroke, CHD mortality, IHD mortality, CVD mortality AND/OR total mortality. | 13 studies: J-shaped relationship for beer and CV risk. | |
| Roerecke et al., 2012 [ | Systematic review-meta-analysis | 44 observational studies including 957,684 participants | Lifetime abstainer. Occasional: 2.5–11.99 g/week; 12–23.99 g/week; 24–35.99 g/week | IHD | Lifetime abstainers | Cardioprotection was observed in all strata, and substantial heterogeneity was noted across studies. Wide confidence intervals observed particularly for average consumption of 1–2 drinks per day. |
| Roerecke et al., 2014 [ | Systematic review and meta-analysis | 7 studies for the meta-analysis | For the meta-analysis: Current drinkers with an average alcohol consumption <30 g/day of pure alcohol with or without HED | IHD | Lifetime abstainers | Beneficial effect of low alcohol consumption without HED episodes as compared to life-time abstainers |
| Wood et al., 2018 [ | Systematic review and meta-analysis | 83 prospective studies including 599,912 participants | Current drinkers | Mortality, stroke, CHD, AMI, heart failure, fatal hypertensive disease, fatal aortic aneurysm | Lowest baseline alcohol consumption category (0–25 g/week) | Threshold for lowest risk of all-cause mortality was ~100 g/week. Association between alcohol consumption and total CVD risk showed higher HR for beer and spirits than for wine. |
| de Gaetano et al., 2016 [ | Systematic review | 7 prospective studies ( | Wine, beer, and spirits | Fatal non-fatal CHD, AMI, CHD, CHD mortality, AND/OR CVD mortality. | Some benefit of beer against CVD | |
| Toma et al., 2017 [ | Review | 1 case-control study (INTERSTROKE [ | INTERSTROKE: low-moderate alcohol use: ≤14 drinks/w in women and ≤21 drinks/w in men. | INTERSTROKE: any stroke, ischemic stroke, and hemorrhagic stroke | INTERSTROKE: Non-drinkers or former drinkers. | INTERSTROKE: |
| Bell et al., 2017 [ | Prospective cohort | 1,937,360 (51% women) | Non-drinkers. Former drinkers. Occasional drinkers: drinks rarely or occasionally. Moderate: Men: 21 SDU/week or 3 SDU/day. Women: 14 SDU/w or 2 SDU/da. Heavy drinkers | 12 common symptomatic manifestations of CVD. | Moderate drinkers | |
| Snow et al., 2009 [ | Prospective cohort | 1154 (574 women) | 1 SDU: 13 g ethanol. Men: Light: 0.65–5.77 g/day; Moderate: 5.78–18.1 g/day; Heavy: >18.1 g/day. HED: ≥8 drinks/episode in past year | CHD events; hypertension; Other CVD | Lifetime abstainers and occasional drinkers who consumed <0.05 drinks (<0.65 g) per day. |
AMI: Acute myocardial infarction; COI: Conflict of interest; CV. Cardiovascular; CVD: Cardiovascular disease; CHD: Coronary heart disease; ERAB: European Foundation for Alcohol Research; FIVIN: the Foundation for Wine and Nutrition Research; HED: Heavy Episodic Drinking; HR: Hazard Ratio; IHD: Ischemic heart disease; OR: Odds Ratio; SDU: Standard drinking unit. a When funding is provided by industries and/or foundations that might represent a conflict of interest, it is written in bold. b Outcomes for prospective studies and meta-analyses, and Conclusions for reviews. Adjustments: Costanzo et al., 2011: All by age and 15 of the 18 studies, in addition, by one or more of the following: sex, race, education, marital status, country of birth, smoking, total alcohol intake, exercise intensity, depression score, frequent aspirin use, cholesterol, BMI, diabetes, hyper-lipidemia, cancer, physical activity, cohabitation, coffee, consumption of other beverage types, total daily energy and saturated fat intake, intake of vegetables, fruit, fish, saturated and trans fatty acids, socioeconomic status, history of heart dis-ease, AMI, hypertension, etc. Roerecke et al., 2012: Where needed, the effect sizes of reference categories were re-calculated to reflect abstainers as the reference category. Former drinkers were excluded from all analyses. Those consuming > 72 g/day were excluded from all analyses because of scarcity of data. Roerecke et al., 2014: All studies were adjusted for age and smoking status, five for education and other indicators for socio-economic status, and four each for BMI and marital status. Wood et al, 2018: Age, smoking status, history of diabetes. de Gaetano et al., 2016: All by age and 8 of the 11 studies, in addition, by one or more of the following: sex, race, education, marital status, country of birth, smoking, total alcohol intake, exercise intensity, depression score, frequent aspirin use, cholesterol, BMI, diabetes, hyperlipidaemia, cancer, physical activity, cohabitation, coffee, consumption of other beverage types, total daily energy and saturated fat intake, intake of vegetables, fruit, fish, saturated and trans fatty acids, socioeconomic status, history of heart disease, AMI, hypertension, etc. Bell et al., 2017: Adjusted for age (and age2), sex, socioeconomic deprivation, and smoking status. Snow et al., 2009: Adjusted for marital status, cigarette smoking status and educational level.
Summary of main mortality studies.
| Study | Design (Mean/Median Years of Follow-Up) | Categories of Alcohol Consumption/Type of Drink | Variable/s | Reference Group (HR = 1) | Outcomes/Conclusions b | |
|---|---|---|---|---|---|---|
| de Gaetano et al., 2016 [ | Systematic review | Wine, beer, and spirits | All-cause mortality | Evidence suggests a J-shaped relationship between alcohol consumption and total mortality, with lower risk for moderate alcohol consumers than for abstainers or heavy drinkers. | ||
| 1 meta-analysis of 34 prospective studies [ | Over 1 million adults | Low to moderate Women: 1 drink/day. Men: 2 drinks/day | All-cause mortality | Low to moderate consumption of alcohol significantly reduces total mortality, while higher doses increase it | ||
| 1 Prospective cohort [ | 36,250 men | Wine and beer | CV death | Non-drinkers | Moderate wine or beer drinking reduced the risk of CV death. | |
| 1 Prospective cohort [ | 7735 British men 40–59 y old | 1 SDU: Half pint beer (8–10 g alcohol). Frequency: Non-drinkers; Occasional (1–2 SDU/month); Weekend drinkers; Daily or on most days. Quantity: 1–2, 3–6, >6 | All-cause mortality | Occasional drinkers | Regular beer drinking [HR: 0.84 (0.71 to 1.01)] showed no significant difference vs. occasional drinking | |
| 1 Prospective cohort [ | 14,223 adults | 1 SDU: 1 bottle beer (12 g alcohol). Never, Hardly ever, Monthly, Weekly | All-cause mortality | Never beer drinkers | In men, monthly beer intake (RR: 0.86 (0.77 to 0.97)) was associated with lower mortality, and daily intake >2 beers (RR: 1.14 (1.02 to 1.27)) to increased risk. | |
| 1 Prospective cohort [ | 380,395 adults (247,795 women) | For beer: | All-cause mortality | Light consumers (0.1–2.9 g/day) | In women: | |
| Stockwell et al., 2016 [ | Systematic review/meta-analysis of 87 studies | 3998,626 adults | Abstainer. Former drinker. Occasional: <1.30 g/day. Low: 1.30 to <25 g /day. Medium: 25 to <45 g/day | All-cause mortality | Abstainer OR occasional drinker | |
| Xi et al., 2017 [ | Population survey data linked to mortality data | 333,247 adults | 1 SDU: 14 g alcohol. Lifetime abstainers. Lifetime infrequent drinkers. Former drinkers. Current light drinkers. Moderate: >3 to ≤14 drinks/w for men or >3 to ≤7 drinks/w for women. Heavy drinkers. Binge drinking | All-cause, cancer, or CVD mortality. | Lifetime abstainers | All cause-mortality: Decreased for Light (HR 0.79 (0.76 to 0.82)) and Moderate (HR 0.78 (0.74 to 0.82)) drinkers. |
| Bell et al., 2017 [ | Prospective cohort | 1937,360 (51% women) | 1 SDU c: 8 g | CV death and all-cause mortality | Moderate drinkers | Non-drinkers (former and occasional drinkers removed) had an increased risk of CV death (HR: 1.32 (1.27 to 1.38)) and all-cause mortality (HR: 1.24 (1.20 to 1.28)). |
| Suadicani, 2008 [ | Prospective cohort | 3022 Caucasian males | 1 SDU: 10–12 g ethanol | All-cause and IHD-related death within the different blood phenotypes | Alcohol abstainers (comparison only for wine drinkers) | For beer, the median (P20, P80) number of drinks/week among those with the non-O phenotype was significantly higher in those who died (overall mortality): 10.5 (0, 15.5) vs 7.5 (0, 10.5); |
CV. Cardiovascular; CVD: Cardiovascular disease; ERAB: European Foundation for Alcohol Research; FIVIN: the Foundation for Wine and Nutrition Research; HR: Hazard Ratio; IHD: Ischemic heart disease; OR: Odds Ratio; SDU: Standard drinking unit; (to): 95%CI a When funding is provided by industries and/or foundations that might represent a conflict of interest, it is written in bold. b Outcomes for prospective studies and meta-analyses, and Conclusions for reviews. c Since Bell et al. follow UK guidelines, 1 SDU was assumed to be 8 g alcohol. Adjustments: de Gaetano et al., 2016: (A) 1 Prospective cohort [67]; For age, social class, smoking, physical activity, body mass index, lung function, evidence of CHD on questionnaire, diabetes, and regular medication. (B) 1 Prospective cohort [68]; For other types of alcohol, sex, smoking, body mass index, physical activity in leisure time, cohabitation, and education. (C) 1 Prospective cohort [69]; For age at recruitment, BMI and height, former drinking, time since alcohol quit-ting, smoking status, duration of smoking, age at start smoking, educational attainment, and energy intake. In women also for menopausal status, ever use of replacement hormones and number of full-term pregnancies. Stockwell et al., 2016: Standard adjustment for between-study variation in covariates: Former drinker, Occasional (<1.30 g/day), Low volume (1.30 to <25 g /day), Medium volume (25 to <45 g/day), High volume (45 to <65 g/day), Higher volume (65 g/day), All drinkers combined. Full adjustment for study characteristics: median age at intake, sex, Caucasian/non-Caucasian, drinking measure adequacy, former drinker bias, and occasional drinker bias. Xi et al., 2017: Model 1: Adjusted for age, sex, and race or ethnicity. Model 2: Additional adjustments for education, marital status, body mass index, physical activity, smoking, and diabetes) Bell et al., 2017: HRs adjusted for age (and age 2), sex, socioeconomic deprivation, and smoking status. Suadicani, 2008: Age adjusted (only for wine drinking).
Summary of main obesity, diabetes, and osteoporosis studies.
| Study | Design (Mean/Median Years of Follow-Up) | Categories of Alcohol Consumption/Type of Drink | Variable/s | Reference Group | Outcomes/Conclusions b | |
|---|---|---|---|---|---|---|
| Fresan et al., 2016 [ | Prospective cohort | 15,765 adults | Beverages groups: | Change in BW and new-onset obesity | No substitution | Substitution of one beer with one serving of water per day at baseline was related to a lower incidence of obesity (OR 0.81, 95%CI 0.69 to 0.94 and OR 0.84, 95%CI 0.71 to 0.98, when further adjusted for the consumption of other beverage groups) and to higher weight loss (−328 g, 95%CI −566 to −89). |
| Bendsen et al., 2013 [ | Systematic review of 35 observational studies and 12 experimental studies | 1 SDU beer = | BW increase, BMI, and abdominal obesity (WC and WHR) | Control: Non-drinkers or in the absence of non-drinkers, the group with the lowest beer intake | Dose-response graphs: High beer intake (>4 L/w) was associated with a higher degree of abdominal obesity in men. | |
| Schütze et al., 2009 [ | Prospective cohort | 20,625 (12,749 women) | WOMEN: | WC change | Very light | MEN: Moderate beer consumption showed significant lower relative odds for WC loss (OR 0.44, 95%CI 0.24 to 0.80) |
| Padro et al., 2018 [ | Open-label, prospective randomized, two-arm, longitudinal cross-over | 36 (15 women) | WOMEN: | BMI | Moderate beer consumption (traditional or alcohol-free) does not increase body weight in obese healthy individuals or have negative effects on the vascular system. Moderate consumption was associated with reduced risk of dyslipidemia, increased anti-oxidative properties of high-density lipoprotein, and increased efflux of cholesterol. | |
| Polsky et al., 2017 [ | Systematic Review of 96 studies | 18 studies included more than 10,000 subjects each. | Alcohol in general | Moderate alcohol consumption generally reduces diabetes risk. | ||
| Cullman et al. 2012 [ | Prospective cohort | 5128 adults (3058 women) with normal glucose tolerance and 111 (41 women) with pre-diabetes. | Abstainers | PreD | Occasional drinkers | Normal glucose tolerance at baseline |
| Yin et al., 2011 [ | Prospective cohort | 862 (49% women) | 1SDU: 10 g alcohol | BMD change | Total alcohol intake in men positively predicted change in BMD at the lumbar spine and hip (beta = 0.008% and 0.006% per year per gram of alcohol intake, | |
| Mukamal et al., 2007 [ | Prospective population-based cohort study | 5865 | 1 SDU: 12-ounce can or bottle of beer, 6-ounce glass of wine, and 1 shot of liquor. 1 SDUc = 14 g | Hip fracture | Long-term abstainers | Strong, graded, positive relationship between greater alcohol consumption and greater BMD up to 13 drinks/week. |
BMD: Bone Mineral Density; BMI: Body mass index; BW: Body weight; COI: Conflict of interest; HR: Hazard Ratio; OR: Odds Ratio; PreD: Pre-diabetes; SDU: Standard drinking unit; SSSBs: Sugar-sweetened soda beverages; T2D: Type 2 diabetes; WC: Waist circumference; WHR: Waist-to-hip ratio. a When funding is provided by industries and/or foundations that might represent a conflict of interest, it is written in bold. b Outcomes for prospective studies and meta-analyses, and Conclusions for reviews. c 14 g are inferred from the amounts of the different beverages constituting 1 SDU and the American guidelines. White rows: Diabetes studies; Light grey rows: Obesity studies; Dark grey rows: Osteoporosis studies. Adjustments: Fresan et al., 2016: Sex, age, age squared, baseline BMI, physical activity, smoking habit, personal and family history of obesity, following a special diet, adherence to the Mediterranean dietary pattern, snacking between meals, weight change during the five years prior to baseline, and total energy intake from other sources than the exchanged beverages. When the analyses were carried out for group of beverages, an additional adjustment for servings per day of other groups was conducted. Schütze et al., 2009: Age, physical activity, smoking, change in smoking status, alcohol in g/d from other alcoholic beverages, education, waist circumference at baseline, total non-beer energy intake, incident diseases during follow-up time and for women, additionally for menopausal status. Further adjustment for concurrent changes in body weight and hip circumference. Cullman et al. 2012: Age, BMI, tobacco use, physical activity, family history of diabetes and education (and the other beverage types when analyzing a specific beverage) Yin et al., 2011: Age, body mass index, physical activity, medication, calcium intake, and smoking. Mukamal et al., 2007: Age, sex, race, current weight, and height. Further adjustment: Smoking status, difficulty arising from a chair or bed, arthritis, diabetes, hypertension, clinical cardiovascular disease, previous cancer, weight in early teens, leisure-time physical activity, visual problems, MMSE score, and use of estrogens, thiazide-type diuretics, and thyroid agents.