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Fontán-Vela J, Ortiz C, López-Cuadrado T, Téllez-Plaza M, García-Esquinas E, Galán I. Alcohol consumption patterns and adherence to the Mediterranean diet in the adult population of Spain. Eur J Nutr 2024; 63:881-891. [PMID: 38217643 PMCID: PMC10948540 DOI: 10.1007/s00394-023-03318-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 12/22/2023] [Indexed: 01/15/2024]
Abstract
PURPOSE The objective is to evaluate the association between various indicators of alcohol consumption and the degree of adherence to the Mediterranean diet among the Spanish adult population. METHODS A cross-sectional study including 44,834 participants ≥ 15 years of age from the 2017 National Health Survey and the 2020 European Health Survey in Spain. Alcohol patterns were defined based on (1) average intake: individuals were classified as low risk (1-20 g/day in men and 1-10 g/day in women) and high risk (> 20 g/day in men or > 10 g/day in women), (2) binge drinking, and (3) alcoholic beverage preference. Non-adherence to the Mediterranean diet was defined as scoring < 7 points on an adapted Mediterranean Diet Adherence Screener index (range 0-10). Odds ratios (OR) were estimated using logistic regression models adjusted for relevant covariates. RESULTS Compared to non-drinkers, low and high-risk drinkers were more likely to report non-adherence to the Mediterranean diet: ORs 1.35 (95% CI 1.23; 1.49) and 1.54 (95% CI 1.34; 1.76), respectively. Similarly, reports of binge drinking less than once a month was associated with higher likelihood of non-adherence (OR 1.17; 95% CI 1.04; 1.31). Individuals reporting no preference for a specific beverage and those with a preference for beer or for spirits had lower adherence: ORs 1.18 (95% CI 1.05; 1.33), 1.31 (95% CI 1.17; 1.46), and 1.72 (95% CI 1.17; 2.54), respectively, while a preference for wine showed no association (OR 1.01; 95% CI 0.90; 1.13). CONCLUSION Alcohol consumption, even in low amounts, is associated with lower adherence to the Mediterranean diet. Therefore, alcoholic beverages should not be included in measures that define the Mediterranean diet.
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Affiliation(s)
- Julia Fontán-Vela
- National Centre for Epidemiology, Institute of Health Carlos III, Monforte de Lemos 5, 28029, Madrid, Spain
| | - Cristina Ortiz
- National Centre for Epidemiology, Institute of Health Carlos III, Monforte de Lemos 5, 28029, Madrid, Spain
| | - Teresa López-Cuadrado
- National Centre for Epidemiology, Institute of Health Carlos III, Monforte de Lemos 5, 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, Autonomous University of Madrid, Madrid, Spain
| | - María Téllez-Plaza
- National Centre for Epidemiology, Institute of Health Carlos III, Monforte de Lemos 5, 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, Autonomous University of Madrid, Madrid, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Madrid, Spain
| | - Esther García-Esquinas
- National Centre for Epidemiology, Institute of Health Carlos III, Monforte de Lemos 5, 28029, Madrid, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Madrid, Spain
| | - Iñaki Galán
- National Centre for Epidemiology, Institute of Health Carlos III, Monforte de Lemos 5, 28029, Madrid, Spain.
- Department of Preventive Medicine and Public Health, Autonomous University of Madrid, Madrid, Spain.
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Butler JL, Gordon-Larsen P, Steffen LM, Shikany JM, Jacobs DR, Popkin BM, Poti JM. Associations of 5-year changes in alcoholic beverage intake with 5-year changes in waist circumference and BMI in the Coronary Artery Risk Development in Young Adults (CARDIA) study. PLoS One 2023; 18:e0281722. [PMID: 36888592 PMCID: PMC9994756 DOI: 10.1371/journal.pone.0281722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 01/30/2023] [Indexed: 03/09/2023] Open
Abstract
OBJECTIVE This study aimed to shed light on contradictory associations of alcohol intake with waist circumference (WC) and body mass index (BMI) by examining 5-yr changes in alcohol intake in relation to 5-yr WC and BMI changes. METHODS This prospective study included 4,355 participants (1,974 men and 2,381 women) enrolled in the Coronary Artery Risk Development in Young Adults (CARDIA) study at baseline (1985-1986) and followed over 25 years (2010-2011). Longitudinal random effects linear regression models were used to test whether changes in drinking (defined categorically) as starting to drink, increasing, decreasing, stable drinking or stopping drinking (versus stable non-drinking) over a series of 5-yr periods were associated with corresponding 5-yr WC and BMI changes. Associations with 5-yr changes (defined categorically as starting, stable or stopping) in drinking level (i.e., light/moderate and excessive) and 5-yr changes (defined categorically as increasing, no change, or decreasing) by beverage type (i.e., beer, wine and liquor/mixed drinks) were also examined. RESULTS In men, compared to stable non-drinking, decreasing total alcohol intake was associated with lower 5-yr WC (β:-0.62 cm; 95% CI: -1.09, -0.14 cm) and BMI gains (β:-0.20 kg/m2; 95% CI: -0.30, -0.03 kg/m2) and stopping excessive drinking was associated with lower 5-yr WC gains (β:-0.77 cm; 95% CI: -1.51, -0.03 cm). In women, compared to those with stable non-drinking habits, starting light/moderate drinking was associated with lower 5-yr WC (β: -0.78 cm; 95% CI: -1.29, -0.26 cm) and BMI gains (β:-0.42 kg/m2; 95% CI: -0.64, -0.20 kg/m2). Increasing wine intake was associated with a lower 5-yr BMI gain (β:-0.27 kg/m2; 95% CI: -0.51, -0.03 kg/m2). Decreasing liquor/mixed drink (β:-0.33 kg/m2; 95% CI: -0.56, -0.09 kg/m2) intake was associated with lower 5-yr WC (β:-0.88 cm; 95% CI: -1.43, -0.34 cm) and BMI (β:-0.33 kg/m2; 95% CI: -0.56, -0.09 kg/m2) gains. CONCLUSIONS Associations of alcohol intake with obesity measures are complex. In women, wine and liquor/mixed drink intakes had contrasting associations with WC and BMI change. In men, decreasing weekly alcoholic beverage intake with an emphasis on stopping excessive consumption may be beneficial in managing WC and BMI gains.
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Grants
- HHSN268201800005I NHLBI NIH HHS
- HHSN268201800007I NHLBI NIH HHS
- HHSN268201800003I NHLBI NIH HHS
- HHSN268201800006I NHLBI NIH HHS
- HHSN268201800004I NHLBI NIH HHS
- R01 HL104580 NHLBI NIH HHS
- R01 DK098072 NIDDK NIH HHS
- T32 DK007686 NIDDK NIH HHS
- P2C HD050924 NICHD NIH HHS
- National Heart, Lung, and Blood Institute in collaboration with the University of Alabama at Birmingham
- National Heart, Lung, and Blood Institute in collaboration with Northwestern University
- National Heart, Lung, and Blood Institute in collaboration with the University of Minnesota
- National Heart, Lung, and Blood Institute in collaboration with the Kaiser Foundation Research Institute
- National Institutes of Health, NIH,
- National Institutes of Health
- Eunice Kennedy Shriver National Institute of Child Health and Human Development
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Affiliation(s)
- J. Lauren Butler
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Nutrition and Foods Program, School of Family and Consumer Sciences, Texas State University, San Marcos, Texas, United States of America
- * E-mail:
| | - Penny Gordon-Larsen
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Lyn M. Steffen
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - James M. Shikany
- Division of Preventive Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States of America
| | - David R. Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Barry M. Popkin
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Jennifer M. Poti
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
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Rivaroli S, Calvo-Porral C, Spadoni R. Using food choice questionnaire to explain Millennials’ attitudes towards craft beer. Food Qual Prefer 2022. [DOI: 10.1016/j.foodqual.2021.104408] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
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Santos-Buelga C, González-Manzano S, González-Paramás AM. Wine, Polyphenols, and Mediterranean Diets. What Else Is There to Say? Molecules 2021; 26:5537. [PMID: 34577008 PMCID: PMC8468969 DOI: 10.3390/molecules26185537] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 09/01/2021] [Accepted: 09/09/2021] [Indexed: 12/21/2022] Open
Abstract
A considerable amount of literature has been published claiming the cardiovascular benefits of moderate (red) wine drinking, which has been considered a distinguishing trait of the Mediterranean diet. Indeed, red wine contains relevant amounts of polyphenols, for which evidence of their biological activity and positive health effects are abundant; however, it is also well-known that alcohol, even at a low level of intake, may have severe consequences for health. Among others, it is directly related to a number of non-communicable diseases, like liver cirrhosis or diverse types of cancer. The IARC classifies alcohol as a Group 1 carcinogen, causally associated with the development of cancers of the upper digestive tract and liver, and, with sufficient evidence, can be positively associated with colorectum and female breast cancer. In these circumstances, it is tricky, if not irresponsible, to spread any message on the benefits of moderate wine drinking, about which no actual consensus exists. It should be further considered that other hallmarks of the Mediterranean diet are the richness in virgin olive oil, fruits, grains, and vegetables, which are also good sources of polyphenols and other phytochemicals, and lack the risks of wine. All of these aspects are reviewed in this article.
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Affiliation(s)
- Celestino Santos-Buelga
- Grupo de Investigación en Polifenoles (GIP-USAL), Universidad de Salamanca, E-37007 Salamanca, Spain; (S.G.-M.); (A.M.G.-P.)
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Karamnova NS, Rytova AI, Shvabskaya OB, Shalnova SA, Maksimov SA, Balanova YA, Evstifeeva SE, Imaeva AE, Kapustina AV, Muromtseva GA, Drapkina OM. Association of alcohol consumption and dietary patterns in the adult population: data from the ESSE-RF study. КАРДИОВАСКУЛЯРНАЯ ТЕРАПИЯ И ПРОФИЛАКТИКА 2021. [DOI: 10.15829/1728-8800-2021-2883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
The alcohol consumption is associated with dietary patterns. Aim. To study the associations of alcohol consumption and dietary patterns in the adult population. Material and methods. The analysis was carried out using representative samples of male and female population aged 25-64 years (n=19437; men, 7306; women, 12131 women) from 13 Russian regions.The response rate was 80%. We assessed nutrition by the frequency of consuming basic food groups. The low alcohol intake (LI) category includes women and men who consume <42 g and <84 g, moderate consumption (MI) — 42 g and 84 g, high intake (HI) — 84 g and 168 g ethanol per week, respectively.Results. In comparison with men who do not drink alcohol, MI and HI category representatives more often consume red meat — by 22 and 36%, meat and sausages — by 37 and 48%, and less often: fish products — by 34 and 33%, cottage cheese — by 51 and 53%, respectively. More rare consumption of poultry is significant in the MI group, vegetables/fruits — in the HI group, sweets — in the LI group. Consumption of pickles, cereals, pasta, liquid dairy products, cheese and sour cream does not differ between the groups in men. Compared to women who do not drink alcohol, women in the LI, MI and HI groups significantly more often consume meat and sausages — by 16, 28 and 85%, respectively. Women of the LI and MI groups more often consume red meat — by 15 and 33%, confectionery — by 29 and 24%, less often: cereals — by 9 and 18%, legumes — by 44 and 53% and cottage cheese — by 19 and 44 %, respectively. Women of the LI category more often daily consume milk, kefir and yogurt — by 26%, and less often fish products — by 18%. Women of the HI group are less likely to consume fruits/vegetables. Consumption of poultry, pickles and cheese do not differ between groups among women.Conclusion. People who consume alcoholic beverages have a pronounced nutritional imbalance, characterized by a higher consumption of red meat, especially processed, high-fat dairy products, salt, and in women, confectionery.
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Affiliation(s)
- N. S. Karamnova
- National Medical Research Center for Therapy and Preventive Medicine
| | - A. I. Rytova
- National Medical Research Center for Therapy and Preventive Medicine
| | - O. B. Shvabskaya
- National Medical Research Center for Therapy and Preventive Medicine
| | - S. A. Shalnova
- National Medical Research Center for Therapy and Preventive Medicine
| | - S. A. Maksimov
- National Medical Research Center for Therapy and Preventive Medicine
| | - Yu. A. Balanova
- National Medical Research Center for Therapy and Preventive Medicine
| | - S. E. Evstifeeva
- National Medical Research Center for Therapy and Preventive Medicine
| | - A. E. Imaeva
- National Medical Research Center for Therapy and Preventive Medicine
| | - A. V. Kapustina
- National Medical Research Center for Therapy and Preventive Medicine
| | - G. A. Muromtseva
- National Medical Research Center for Therapy and Preventive Medicine
| | - O. M. Drapkina
- National Medical Research Center for Therapy and Preventive Medicine
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Grinshtein YI, Shabalin VV, Ruf RR, Shalnova SA, Drapkina OM. Prevalence of a combination of hypertension and dyslipidemia among the adult population of a large East Siberian region. КАРДИОВАСКУЛЯРНАЯ ТЕРАПИЯ И ПРОФИЛАКТИКА 2021. [DOI: 10.15829/1728-8800-2021-2865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
Aim. To study the prevalence of a combination of two major cardiovascular risk factors, hypertension (HTN) and lipid metabolism disorders, among the Krasnoyarsk Krai population as a whole, as well as among men and women in different age groups.Material and methods. We analyzed the data from a random representative sample of 1603 residents of the Krasnoyarsk city and Berezovsky district aged 25-64 years within the ESSE-RF epidemiological study. Statistical processing was performed using IBMSPSS 22 and Microsoft Office Excel 2007. The proportion of people with hypertension and dyslipidemia and 95% confidence intervals was calculated. The significance of differences in the prevalence of hypertension and dyslipidemia was tested using the chi-squared test with Yates’ correction. Differences were considered significant at p≤0,05.Results. The prevalence of a combination of HTN and any dyslipidemia was 40%, HTN + hypercholesterolemia — 31,6%, HTN + high low density lipoprotein cholesterol (LDL-C) — 32,3%, HTN + hypertriglyceridemia — 16,4%, HTN + reduced high density lipoprotein cholesterol (HDL-C) — 10,8%. This characteristic increased with age. The prevalence of a combination of HTN with hypercholesterolemia, with an increased LDL-C level, as well as HTN with any dyslipidemia in women aged 55-64 years was significantly higher than in men.Conclusion. The prevalence of a combination of HTN with any dyslipidemia in the Krasnoyarsk Krai among the adult population aged 25-64 years was 40% and increased with age. In women aged 55-64 years, the prevalence of a combination of HTN with hypercholesterolemia, with an increased LDL-C level, as well as HTN with any dyslipidemia was significantly higher than in men.
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Affiliation(s)
| | - V. V. Shabalin
- V.F. Voino-Yasenetsky Krasnoyarsk State Medical University
| | - R. R. Ruf
- V.F. Voino-Yasenetsky Krasnoyarsk State Medical University
| | - S. A. Shalnova
- National Medical Research Center for Therapy and Preventive Medicine
| | - O. M. Drapkina
- National Medical Research Center for Therapy and Preventive Medicine
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Chen CC, Cheng KW, Chang HY, Chang SS. Changes in alcoholic beverage preference and consumption in Taiwan following accession to the World Trade Organization. Addiction 2021; 116:497-505. [PMID: 32621300 DOI: 10.1111/add.15184] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 12/08/2019] [Accepted: 06/28/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND AND AIMS Given the growing concerns that international trade agreements may increase the supply of health-harming commodities, including alcohol, this study aimed to investigate the changes in alcoholic beverage preference and consumption after Taiwan's accession to the World Trade Organization (WTO). DESIGN A before-and-after comparison analysis using data from two waves (1993-1996 and 2005-2008) of the Nutrition and Health Survey in Taiwan (NAHSIT), before and after Taiwan's accession to the WTO in 2002. SETTING Taiwan. PARTICIPANTS A total of 5031 and 2910 participants aged 19 years or older in NAHSIT 1993-1996 and 2005-2008, respectively. MEASUREMENTS Alcohol measures included beverage-specific preference, mean daily ethanol consumption, and heavy drinking. Logistic regression was used to estimate the prevalence rate ratios and rate differences of beverage preferences between the two waves and the risk ratios of heavy drinking associated with different beverage preferences. FINDINGS A reduced prevalence rate of drinkers who preferred rice spirits (prevalence rate ratio [PRR] = 0.47; 95% confidence interval [CI] = 0.24, 0.91) and Asian wine (PRR = 0.11; 95% CI = 0.04, 0.29) was found in contrast to an increase in the preference for fruit wine (PRR = 2.90; 95% CI = 1.75, 4.79); the preference for Asian spirits showed a non-significant increase (PRR = 1.63; 95% CI = 0.88, 3.02). Similarly, the mean daily ethanol consumption decreased for Asian wine and increased for Asian spirits. Compared with beer, an increased risk of heavy drinking was associated with rice spirits (adjusted risk ratio [aRR] = 3.30; 95% CI = 1.68, 6.47) and Asian spirits (aRR = 2.64; 95% CI = 1.38, 5.01). CONCLUSIONS After Taiwan became a member of the World Trade Organization and abolished its alcohol monopoly in 2002, the pattern of alcoholic beverage preference changed markedly, including a decrease in drinkers who preferred rice spirits and Asian wine (53% and 89% decrease, respectively) and an increase in drinkers who preferred fruit wine and Asian spirits (2.9-fold and 1.6-fold increase, respectively).
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Affiliation(s)
- Cheng-Che Chen
- Division of Psychiatry and Center of Medical Education and Research, National Taiwan University Hospital Chu-Tung Branch, Hsinchu, Taiwan
| | - Kai-Wen Cheng
- Department of Health Administration, Governors State University, University Park, IL, USA.,Health Policy Center, Institute for Health Research and Policy, University of Illinois at Chicago, Chicago, IL, USA
| | - Hsin-Yi Chang
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli, Taiwan
| | - Shu-Sen Chang
- Institute of Health Behaviors and Community Sciences and Department of Public Health, College of Public Health, National Taiwan University, Taipei, Taiwan.,Psychiatric Research Center, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
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Abstract
OBJECTIVE To update the Dutch Healthy Diet index, a measure of diet quality, to reflect adherence to the Dutch dietary guidelines 2015 and to evaluate against participants' characteristics and nutrient intakes with the score based on 24 h recall (24 hR) data and FFQ data. DESIGN The Dutch Healthy Diet index 2015 (DHD15-index) consists of fifteen components representing the fifteen food-based Dutch dietary guidelines of 2015. Per component the score ranges between 0 and 10, resulting in a total score between 0 (no adherence) and 150 (complete adherence). SETTING Wageningen area, the Netherlands, 2011-2013. SUBJECTS Data of 885 men and women, aged 20-70 years, participating in the longitudinal NQplus study, who filled out two 24 hR and one FFQ, were used. RESULTS Mean (sd) score of the DHD15-index was 68·7 (16·1) for men and 79·4 (16·0) for women. Significant inverse trends were found between the DHD15-index and BMI, smoking, and intakes of energy, total fat and saturated fat. Positive trends were seen across sex-specific quintiles of the DHD15-index score with energy-adjusted micronutrient intakes. Mean DHD15-index score of the FFQ data was 15·5 points higher compared with 24 hR data, with a correlation coefficient of 0·56 between the scores. Observed trends of the DHD15-index based on FFQ with participant characteristics, macronutrient and energy-adjusted micronutrient intakes were similar to those with the DHD15-index based on 24 hR. CONCLUSIONS The DHD15-index score assesses adherence to the Dutch dietary guidelines 2015 and indicates diet quality. The DHD15-index score can be based on 24 hR data and on FFQ data.
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Fehringer G, Brenner DR, Zhang ZF, Lee YCA, Matsuo K, Ito H, Lan Q, Vineis P, Johansson M, Overvad K, Riboli E, Trichopoulou A, Sacerdote C, Stucker I, Boffetta P, Brennan P, Christiani DC, Hong YC, Landi MT, Morgenstern H, Schwartz AG, Wenzlaff AS, Rennert G, McLaughlin JR, Harris CC, Olivo-Marston S, Orlow I, Park BJ, Zauderer M, Barros Dios JM, Raviña AR, Siemiatycki J, Koushik A, Lazarus P, Fernández-Somoano A, Tardon A, Le Marchand L, Brenner H, Saum KU, Duell EJ, Andrew AS, Szeszenia-Dabrowska N, Lissowska J, Zaridze D, Rudnai P, Fabianova E, Mates D, Foretova L, Janout V, Bencko V, Holcatova I, Pesatori AC, Consonni D, Olsson A, Straif K, Hung RJ. Alcohol and lung cancer risk among never smokers: A pooled analysis from the international lung cancer consortium and the SYNERGY study. Int J Cancer 2017; 140:1976-1984. [PMID: 28120396 PMCID: PMC5356930 DOI: 10.1002/ijc.30618] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2016] [Revised: 12/15/2016] [Accepted: 12/19/2016] [Indexed: 12/22/2022]
Abstract
It is not clear whether alcohol consumption is associated with lung cancer risk. The relationship is likely confounded by smoking, complicating the interpretation of previous studies. We examined the association of alcohol consumption and lung cancer risk in a large pooled international sample, minimizing potential confounding of tobacco consumption by restricting analyses to never smokers. Our study included 22 case-control and cohort studies with a total of 2548 never-smoking lung cancer patients and 9362 never-smoking controls from North America, Europe and Asia within the International Lung Cancer Consortium (ILCCO) and SYNERGY Consortium. Alcohol consumption was categorized into amounts consumed (grams per day) and also modelled as a continuous variable using restricted cubic splines for potential non-linearity. Analyses by histologic sub-type were included. Associations by type of alcohol consumed (wine, beer and liquor) were also investigated. Alcohol consumption was inversely associated with lung cancer risk with evidence most strongly supporting lower risk for light and moderate drinkers relative to non-drinkers (>0-4.9 g per day: OR = 0.80, 95% CI = 0.70-0.90; 5-9.9 g per day: OR = 0.82, 95% CI = 0.69-0.99; 10-19.9 g per day: OR = 0.79, 95% CI = 0.65-0.96). Inverse associations were found for consumption of wine and liquor, but not beer. The results indicate that alcohol consumption is inversely associated with lung cancer risk, particularly among subjects with low to moderate consumption levels, and among wine and liquor drinkers, but not beer drinkers. Although our results should have no relevant bias from the confounding effect of smoking we cannot preclude that confounding by other factors contributed to the observed associations. Confounding in relation to the non-drinker reference category may be of particular importance.
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Affiliation(s)
- Gordon Fehringer
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Canada
| | - Darren R. Brenner
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Canada
- International Agency for Research on Cancer, Lyon, France
- Department of Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, Alberta, Canada
| | - Zuo-Feng Zhang
- Department of Epidemiology, School of Public Health, UCLA, Los Angeles, USA
| | - Yuan-Chin Amy Lee
- Department of Family and Preventive Medicine, School of Medicine, University of Utah, Salt Lake City, USA
| | - Keitaro Matsuo
- Division of Molecular Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Hidemi Ito
- Division Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, USA
| | - Paolo Vineis
- Division of Epidemiology, Public Health and Primary Care, Faculty of Medicine, Imperial College London, London, UK
| | | | - Kim Overvad
- Department of Public Health, Section for Epidemiology, Aarhus University, Denmark
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, Imperial College, London, UK
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece
- World Health Organization Collaborating Center for Food and Nutrition Policies, Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Piedmont Children Cancer Registry, Città della Salute e della Scienza di Torino Hospital and CPO Piemonte, Turin, Italy
| | - Isabelle Stucker
- Department of Environmental Epidemiology, INSERM U170, Villejuif, France
| | - Paolo Boffetta
- The Tisch Cancer Institute, Mount Sinai School of Medicine, New York, USA
| | - Paul Brennan
- International Agency for Research on Cancer, Lyon, France
| | - David. C. Christiani
- Harvard School of Public Health, Massachusetts General Hospital/Harvard Medical School, Boston, USA
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, USA
| | - Hal Morgenstern
- Departments of Epidemiology and Environmental Health Sciences, School of Public Health and Comprehensive Cancer Center, University of Michigan, Ann Arbor, USA
| | - Ann G. Schwartz
- Karmanos Cancer Institute, Wayne State University, Detroit, USA
| | | | - Gad Rennert
- Department of Community Medicine and Epidemiology, Carmel Medical Center and Bruce Rappaport Faculty of Medicine, Israel Institute of Technology and Clalit Health Services National Cancer Control Center, Haifa, Israel
| | | | - Curtis C. Harris
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, USA
| | | | - Irene Orlow
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, USA
| | - Bernard J. Park
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, USA
| | - Marjorie Zauderer
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, USA
- Weill Cornell Medical College, Cornell University, New York, USA
| | - Juan M. Barros Dios
- Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain
- CIBER de Epidemiología y Salud Pública, Madrid, Spain
| | - Alberto Ruano Raviña
- Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain
- CIBER de Epidemiología y Salud Pública, Madrid, Spain
| | - Jack Siemiatycki
- University of Montreal Hospital Research Center (CRCHUM) and School of Public Health, Montreal, Canada
| | - Anita Koushik
- University of Montreal Hospital Research Center (CRCHUM) and School of Public Health, Montreal, Canada
| | - Philip Lazarus
- Department of Pharmaceutical Sciences, College of Pharmacy, Washington State University, USA
| | | | - Adonina Tardon
- IUOPA, University Institute of Oncology, University of Oviedo, and CIBERESP, Spain
| | | | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Kai-Uwe Saum
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Eric J. Duell
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, Spain
| | - Angeline S. Andrew
- Norris Cotton Cancer Center, Geisel School of Medicine, Dartmouth College, Lebanon, USA
| | | | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, Cancer Center Maria Sklodowska-Curie Institute of Oncology, Warsaw, Poland
| | - David Zaridze
- Institute of Carcinogenesis, Blokhin Cancer Research Center, Russian Academy of Medical Sciences, Moscow, Russia
| | - Peter Rudnai
- National Institute of Environmental Health, Budapest, Hungary
| | - Eleonora Fabianova
- Specialized Institute of Hygiene and Epidemiology, Banská Bystrica, Slovakia
| | - Dana Mates
- National Institute of Public Health, Bucharest, Romania
| | | | | | - Vladimir Bencko
- Institute of Hygiene and Epidemiology, Charles University, Prague, Czech Republic
| | - Ivana Holcatova
- Institute of Hygiene and Epidemiology, Charles University, Prague, Czech Republic
| | - Angela Cecilia Pesatori
- Epidemiology Unit, Department of Preventive Medicine, Fondazione IRCCS Ca’ Granda–Ospedale Maggiore Policlinico, Milan, Italy
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy
| | - Dario Consonni
- Epidemiology Unit, Department of Preventive Medicine, Fondazione IRCCS Ca’ Granda–Ospedale Maggiore Policlinico, Milan, Italy
| | - Ann Olsson
- International Agency for Research on Cancer, Lyon, France
- The Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Kurt Straif
- International Agency for Research on Cancer, Lyon, France
| | - Rayjean J. Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Canada
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Alcoholic beverage preference and diabetes incidence across Europe: the Consortium on Health and Ageing Network of Cohorts in Europe and the United States (CHANCES) project. Eur J Clin Nutr 2017; 71:659-668. [DOI: 10.1038/ejcn.2017.4] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2016] [Revised: 11/25/2016] [Accepted: 12/28/2016] [Indexed: 12/12/2022]
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Oksanen A, Kokkonen H. Consumption of Wine with Meals and Subjective Well-being: A Finnish Population-Based Study. Alcohol Alcohol 2016; 51:716-722. [PMID: 27015691 DOI: 10.1093/alcalc/agw016] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2015] [Accepted: 03/05/2016] [Indexed: 01/01/2023] Open
Abstract
AIMS To examine in the general population the association of regular consumption of wine with meals, subjective well-being and risky drinking. METHODS A random sample of Finnish people aged 18-69 ('Finnish Drinking Habits Survey 2008', n = 2591, response rate 74%) were interviewed regarding psychological distress, self-efficacy, self-perceived health, uncontrolled drinking, negative events during drinking, hazardous drinking and consumption of alcohol. The analysis focused on comparison of those who drank wine at least once a week versus more seldom. Regression models adjusted for social determinants, smoking and chronic illness. RESULTS Twelve percent of Finnish adults drank wine with meals at least once a week. Drinking wine with meals was an urban phenomenon and associated with higher socioeconomic status. Regular wine with meal drinkers reported better health, higher self-efficacy and less psychological distress than others even when various confounders were adjusted for. They also reported more risky drinking and higher yearly consumption than other alcohol consumers. Especially those who drank both wine and beer during meals had higher rates of risky drinking. Those restricting themselves to only wine with meals reported less hazardous drinking than the general population. CONCLUSION Consumption of wine with meals was associated with high socioeconomic status and high subjective well-being. Risky drinking was prevalent among wine with meal drinkers, but only among those who drank both wine and beer with meals. Potential unknown confounders may exist, but the results underline a link between subjective well-being and drinking wine with meals.
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Affiliation(s)
- Atte Oksanen
- School of Social Sciences and Humanities, University of Tampere, Tampere, Finland
| | - Hanna Kokkonen
- Home Economics, Department of Teacher Education, University of Helsinki, Helsinki, Finland
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Sluik D, Jankovic N, O’Doherty MG, Geelen A, Schöttker B, Rolandsson O, Kiefte-de Jong JC, Ferrieres J, Bamia C, Fransen HP, Boer JMA, Eriksson S, Martínez B, Huerta JM, Kromhout D, de Groot LCPGM, Franco OH, Trichopoulou A, Boffetta P, Kee F, Feskens EJM. Alcoholic Beverage Preference and Dietary Habits in Elderly across Europe: Analyses within the Consortium on Health and Ageing: Network of Cohorts in Europe and the United States (CHANCES) Project. PLoS One 2016; 11:e0161603. [PMID: 27548323 PMCID: PMC4993358 DOI: 10.1371/journal.pone.0161603] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2015] [Accepted: 08/08/2016] [Indexed: 01/04/2023] Open
Abstract
Introduction The differential associations of beer, wine, and spirit consumption on cardiovascular risk found in observational studies may be confounded by diet. We described and compared dietary intake and diet quality according to alcoholic beverage preference in European elderly. Methods From the Consortium on Health and Ageing: Network of Cohorts in Europe and the United States (CHANCES), seven European cohorts were included, i.e. four sub-cohorts from EPIC-Elderly, the SENECA Study, the Zutphen Elderly Study, and the Rotterdam Study. Harmonized data of 29,423 elderly participants from 14 European countries were analyzed. Baseline data on consumption of beer, wine, and spirits, and dietary intake were collected with questionnaires. Diet quality was assessed using the Healthy Diet Indicator (HDI). Intakes and scores across categories of alcoholic beverage preference (beer, wine, spirit, no preference, non-consumers) were adjusted for age, sex, socio-economic status, self-reported prevalent diseases, and lifestyle factors. Cohort-specific mean intakes and scores were calculated as well as weighted means combining all cohorts. Results In 5 of 7 cohorts, persons with a wine preference formed the largest group. After multivariate adjustment, persons with a wine preference tended to have a higher HDI score and intake of healthy foods in most cohorts, but differences were small. The weighted estimates of all cohorts combined revealed that non-consumers had the highest fruit and vegetable intake, followed by wine consumers. Non-consumers and persons with no specific preference had a higher HDI score, spirit consumers the lowest. However, overall diet quality as measured by HDI did not differ greatly across alcoholic beverage preference categories. Discussion This study using harmonized data from ~30,000 elderly from 14 European countries showed that, after multivariate adjustment, dietary habits and diet quality did not differ greatly according to alcoholic beverage preference.
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Affiliation(s)
- Diewertje Sluik
- Division of Human Nutrition, Wageningen University, Wageningen, the Netherlands
- * E-mail:
| | - Nicole Jankovic
- Division of Human Nutrition, Wageningen University, Wageningen, the Netherlands
- Centre of Clinical Epidemiology, Institute for Medical Informatics, Biometry and Epidemiology, Faculty of Medicine, University Duisburg-Essen, Essen, Germany
| | - Mark G. O’Doherty
- UKCRC Centre of Excellence for Public Health, Queens University Belfast, Belfast, Northern Ireland
| | - Anouk Geelen
- Division of Human Nutrition, Wageningen University, Wageningen, the Netherlands
| | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Institute of Health Care and Social Sciences, FOM University, Essen, Germany
| | - Olov Rolandsson
- Department of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden
| | - Jessica C. Kiefte-de Jong
- Global Public Health, Leiden University College, the Hague, the Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Jean Ferrieres
- Department of Cardiology, Toulouse University School of Medicine, Toulouse, France
| | - Christina Bamia
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
| | - Heidi P. Fransen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Jolanda M. A. Boer
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Sture Eriksson
- Department of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden
| | - Begoña Martínez
- Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria ibs.Granada, Hospitales Universitaios de Granada/Universidad de Granada, Granada, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - José María Huerta
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
| | - Daan Kromhout
- Division of Human Nutrition, Wageningen University, Wageningen, the Netherlands
| | | | - Oscar H. Franco
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
| | - Paolo Boffetta
- Hellenic Health Foundation, Athens, Greece
- Icahn School of Medicine, Mount Sinai School of Medicine, New York, United States of America
| | - Frank Kee
- UKCRC Centre of Excellence for Public Health, Queens University Belfast, Belfast, Northern Ireland
| | - Edith J. M. Feskens
- Division of Human Nutrition, Wageningen University, Wageningen, the Netherlands
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Sluik D, Brouwer-Brolsma EM, de Vries JHM, Geelen A, Feskens EJM. Associations of alcoholic beverage preference with cardiometabolic and lifestyle factors: the NQplus study. BMJ Open 2016; 6:e010437. [PMID: 27311903 PMCID: PMC4916604 DOI: 10.1136/bmjopen-2015-010437] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
OBJECTIVES The preference for a specific alcoholic beverage may be related to an individual's overall lifestyle and health. The objective was to investigate associations between alcoholic beverage preference and several cardiometabolic and lifestyle factors, including adiposity, cholesterol, glycated haemoglobin (HbA1c), liver enzymes and dietary patterns. DESIGN Cross-sectional study. SETTING The Dutch Longitudinal Nutrition Questionnaires plus (NQplus) Study. PARTICIPANTS 1653 men and women aged 20-77 years. METHODS Diet, including alcohol, was assessed by Food Frequency Questionnaire. Based on the average number of reported glasses of alcoholic beverage, a person was classified as having a preference for beer, wine, spirit/no specific preference, or as a non-consumer. Mixed linear models were used to calculate crude and adjusted means of cardiometabolic and lifestyle factors across alcoholic beverage preference categories. PRIMARY OUTCOME MEASURES Anthropometric measures, blood pressure, lipids, HbA1c, albumin, creatinine, uric acid, liver enzymes and dietary patterns. RESULTS In the study population, 43% had a wine preference, 13% a beer preference, 29% had a spirit or no specific preference, and 15% did not consume alcohol. Men who preferred wine had lowest measures of adiposity; the preference for alcoholic beverages was not associated with adiposity measures in women. Wine consumers had higher high density lipoprotein-cholesterol, lower HbA1c and were more likely to follow the 'Salad' pattern. Beer consumers had highest levels of triglycerides and liver enzymes, and had higher scores for the 'Meat' and 'Bread' pattern. CONCLUSIONS Few differences in dietary patterns across alcoholic beverage preference categories were observed. Those differences in cardiometabolic parameters that were observed according to alcoholic beverage preference, suggested that wine consumers have a better health status than beer consumers.
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Affiliation(s)
- Diewertje Sluik
- Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
| | | | - Jeanne H M de Vries
- Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
| | - Anouk Geelen
- Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
| | - Edith J M Feskens
- Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
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Contributors to dietary glycaemic index and glycaemic load in the Netherlands: the role of beer. Br J Nutr 2016; 115:1218-25. [PMID: 26857156 DOI: 10.1017/s0007114516000052] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Diets high in glycaemic index (GI) and glycaemic load (GL) have been associated with a higher diabetes risk. Beer explained a large proportion of variation in GI in a Finnish and an American study. However, few beers have been tested according to International Organization for Standardization (ISO) methodology. We tested the GI of beer and estimated its contribution to dietary GI and GL in the Netherlands. GI testing of pilsner beer (Pilsner Urquell) was conducted at The University of Sydney according to ISO international standards with glucose as the reference food. Subsequently, GI and GL values were assigned to 2556 food items in the 2011 Dutch food composition table using a six-step methodology and consulting four databases. This table was linked to dietary data from 2106 adults in the Dutch National Food Consumption Survey 2007-2010. Stepwise linear regression identified contribution to inter-individual variation in dietary GI and GL. The GI of pilsner beer was 89 (SD 5). Beer consumption contributed to 9·6 and 5·3% inter-individual variation in GI and GL, respectively. Other foods that contributed to the inter-individual variation in GI and GL included potatoes, bread, soft drinks, sugar, candy, wine, coffee and tea. The results were more pronounced in men than in women. In conclusion, beer is a high-GI food. Despite its relatively low carbohydrate content (approximately 4-5 g/100 ml), it still made a contribution to dietary GL, especially in men. Next to potatoes, bread, sugar and sugar-sweetened beverages, beer captured a considerable proportion of between-person variability in GI and GL in the Dutch diet.
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Alkohol im Alter. Z Gerontol Geriatr 2015; 48:557-68; quiz 569-70. [PMID: 26130109 DOI: 10.1007/s00391-015-0925-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2015] [Revised: 05/18/2015] [Accepted: 06/02/2015] [Indexed: 10/23/2022]
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