Home > Publications database > Alcohol Intake and Total Mortality in 142,960 Individuals from the MORGAM Project: a population-based study. > print |
001 | 169143 | ||
005 | 20240229133642.0 | ||
024 | 7 | _ | |a 10.1111/add.15593 |2 doi |
024 | 7 | _ | |a pmid:34105209 |2 pmid |
024 | 7 | _ | |a 0965-2140 |2 ISSN |
024 | 7 | _ | |a 1360-0443 |2 ISSN |
024 | 7 | _ | |a altmetric:107882029 |2 altmetric |
037 | _ | _ | |a DKFZ-2021-01284 |
041 | _ | _ | |a English |
082 | _ | _ | |a 610 |
100 | 1 | _ | |a Di Castelnuovo, A. |0 0000-0001-9767-7998 |b 0 |
245 | _ | _ | |a Alcohol Intake and Total Mortality in 142,960 Individuals from the MORGAM Project: a population-based study. |
260 | _ | _ | |a Oxford [u.a.] |c 2022 |b Wiley-Blackwell |
336 | 7 | _ | |a article |2 DRIVER |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1642079105_16352 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
500 | _ | _ | |a 2022 Feb;117(2):312-325 |
520 | _ | _ | |a To test the association of alcohol consumption with total and cause-specific mortality risk DESIGN: Prospective observational multicentre population-based study SETTING: Sixteen cohorts (15 from Europe) in the MOnica Risk, Genetics, Archiving and Monograph (MORGAM) Project PARTICIPANTS: A total of 142,960 individuals (mean age 50±13 y, 53.9% men) MEASUREMENTS: Average alcohol intake by food frequency questionnaire. Total and cause-specific mortality FINDINGS: In comparison with lifetime abstainers, consumption of alcohol less than 10 gr/d was associated with an average 11% (95%CI: 7%-14%) reduction in the risk of total mortality, while intake >20 gr/d was associated with a 13% (7%-20%) increase in the risk of total mortality. Comparable findings were observed for cardiovascular (CV) deaths. As far as cancer is concerned, drinking up to 10 gr/d was not associated with either mortality risk reduction or increase, while alcohol intake >20 gr/d was associated with a 22% (10%-35%) increased risk of mortality. The association of alcohol with fatal outcomes was similar in men and women, differed somewhat between Countries and was more apparent in individuals preferring wine, suggesting that benefits may not be due to ethanol but other ingredients. Mediation analysis showed that HDLc explained 2.9% and 18.7% of the association between low alcohol intake and total as well as CV mortality, respectively.In comparison with lifetime abstainers, consuming less than 1 drink per day (nadir at 5 gr/d) was associated with a reduced risk of total, cardiovascular and other causes mortality, except cancer. Intake of more than 2 drinks per day was associated with an increased risk of total, cardiovascular and especially cancer mortality. |
536 | _ | _ | |a 313 - Krebsrisikofaktoren und Prävention (POF4-313) |0 G:(DE-HGF)POF4-313 |c POF4-313 |f POF IV |x 0 |
588 | _ | _ | |a Dataset connected to CrossRef, PubMed, , Journals: inrepo01.inet.dkfz-heidelberg.de |
700 | 1 | _ | |a Costanzo, S. |0 0000-0003-4569-1186 |b 1 |
700 | 1 | _ | |a Bonaccio, M. |b 2 |
700 | 1 | _ | |a McElduff, P. |b 3 |
700 | 1 | _ | |a Linneberg, A. |b 4 |
700 | 1 | _ | |a Salomaa, V. |b 5 |
700 | 1 | _ | |a Männistö, S. |b 6 |
700 | 1 | _ | |a Moitry, M. |b 7 |
700 | 1 | _ | |a Ferrières, J. |b 8 |
700 | 1 | _ | |a Dallongeville, J. |b 9 |
700 | 1 | _ | |a Thorand, B. |b 10 |
700 | 1 | _ | |a Brenner, H. |0 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2 |b 11 |u dkfz |
700 | 1 | _ | |a Ferrario, M. |b 12 |
700 | 1 | _ | |a Veronesi, G. |b 13 |
700 | 1 | _ | |a Pettenuzzo, E. |b 14 |
700 | 1 | _ | |a Tamosiunas, A. |b 15 |
700 | 1 | _ | |a Njølstad, I. |b 16 |
700 | 1 | _ | |a Drygas, W. |b 17 |
700 | 1 | _ | |a Nikitin, Y. |b 18 |
700 | 1 | _ | |a Söderberg, S. |b 19 |
700 | 1 | _ | |a Kee, F. |b 20 |
700 | 1 | _ | |a Grassi, G. |b 21 |
700 | 1 | _ | |a Westermann, D. |b 22 |
700 | 1 | _ | |a Schrage, B. |b 23 |
700 | 1 | _ | |a Dabboura, S. |b 24 |
700 | 1 | _ | |a Zeller, T. |b 25 |
700 | 1 | _ | |a Kuulasmaa, K. |b 26 |
700 | 1 | _ | |a Blankenberg, S. |b 27 |
700 | 1 | _ | |a Donati, M. B. |b 28 |
700 | 1 | _ | |a de Gaetano, G. |b 29 |
700 | 1 | _ | |a Iacoviello, L. |0 0000-0003-0514-5885 |b 30 |
700 | 1 | _ | |a Investigators, MORGAM Study |b 31 |e Collaboration Author |
773 | _ | _ | |a 10.1111/add.15593 |g p. add.15593 |0 PERI:(DE-600)2002997-4 |n 2 |p 312-325 |t Addiction |v 117 |y 2022 |x 0965-2140 |
909 | C | O | |p VDB |o oai:inrepo02.dkfz.de:169143 |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 11 |6 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2 |
913 | 1 | _ | |a DE-HGF |b Gesundheit |l Krebsforschung |1 G:(DE-HGF)POF4-310 |0 G:(DE-HGF)POF4-313 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-300 |4 G:(DE-HGF)POF |v Krebsrisikofaktoren und Prävention |x 0 |
913 | 0 | _ | |a DE-HGF |b Gesundheit |l Krebsforschung |1 G:(DE-HGF)POF3-310 |0 G:(DE-HGF)POF3-313 |3 G:(DE-HGF)POF3 |2 G:(DE-HGF)POF3-300 |4 G:(DE-HGF)POF |v Cancer risk factors and prevention |x 0 |
914 | 1 | _ | |y 2021 |
915 | _ | _ | |a DEAL Wiley |0 StatID:(DE-HGF)3001 |2 StatID |d 2021-02-04 |w ger |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2021-02-04 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1190 |2 StatID |b Biological Abstracts |d 2021-02-04 |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2021-02-04 |
915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |d 2022-11-16 |w ger |
915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b ADDICTION : 2021 |d 2022-11-16 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2022-11-16 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2022-11-16 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |d 2022-11-16 |
915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |d 2022-11-16 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2022-11-16 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1180 |2 StatID |b Current Contents - Social and Behavioral Sciences |d 2022-11-16 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2022-11-16 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |d 2022-11-16 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1110 |2 StatID |b Current Contents - Clinical Medicine |d 2022-11-16 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0130 |2 StatID |b Social Sciences Citation Index |d 2022-11-16 |
915 | _ | _ | |a IF >= 5 |0 StatID:(DE-HGF)9905 |2 StatID |b ADDICTION : 2021 |d 2022-11-16 |
920 | 1 | _ | |0 I:(DE-He78)C070-20160331 |k C070 |l C070 Klinische Epidemiologie und Alternf. |x 0 |
920 | 1 | _ | |0 I:(DE-He78)C120-20160331 |k C120 |l Präventive Onkologie |x 1 |
980 | _ | _ | |a journal |
980 | _ | _ | |a VDB |
980 | _ | _ | |a I:(DE-He78)C070-20160331 |
980 | _ | _ | |a I:(DE-He78)C120-20160331 |
980 | _ | _ | |a UNRESTRICTED |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|