Home > Publications database > Consumption of ultra-processed foods associated with weight gain and obesity in adults: A multi-national cohort study. > print |
001 | 170431 | ||
005 | 20240229133713.0 | ||
024 | 7 | _ | |a 10.1016/j.clnu.2021.08.009 |2 doi |
024 | 7 | _ | |a pmid:34455267 |2 pmid |
024 | 7 | _ | |a 0261-5614 |2 ISSN |
024 | 7 | _ | |a 1532-1983 |2 ISSN |
024 | 7 | _ | |a altmetric:112177480 |2 altmetric |
037 | _ | _ | |a DKFZ-2021-01924 |
041 | _ | _ | |a English |
082 | _ | _ | |a 610 |
100 | 1 | _ | |a Cordova, Reynalda |b 0 |
245 | _ | _ | |a Consumption of ultra-processed foods associated with weight gain and obesity in adults: A multi-national cohort study. |
260 | _ | _ | |a Amsterdam [u.a.] |c 2021 |b Elsevier |
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 1630485607_28102 |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 |
520 | _ | _ | |a There is a worldwide shift towards increased consumption of ultra-processed foods (UPF) with concurrent rising prevalence of obesity. We examined the relationship between the consumption of UPF and weight gain and risk of obesity.This prospective cohort included 348 748 men and women aged 25-70 years. Participants were recruited between 1992 and 2000 from 9 European countries in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Two body weight measures were available, at baseline and after a median follow-up time of 5 years. Foods and drinks were assessed at baseline by dietary questionnaires and classified according to their degree of processing using NOVA classification. Multilevel mixed linear regression was used to estimate the association between UPF consumption and body weight change (kg/5 years). To estimate the relative risk of becoming overweight or obese after 5 years we used Poisson regression stratified according to baseline body mass index (BMI).After multivariable adjustment, higher UPF consumption (per 1 SD increment) was positively associated with weight gain (0·12 kg/5 years, 95% CI 0·09 to 0·15). Comparing highest vs. lowest quintile of UPF consumption was associated with a 15% greater risk (95% CI 1·11, 1·19) of becoming overweight or obese in normal weight participants, and with a 16% greater risk (95% CI 1·09, 1·23) of becoming obese in participants who were overweight at baseline.These results are supportive of public health campaigns to substitute UPF for less processed alternatives for obesity prevention and weight management. |
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 |
650 | _ | 7 | |a Adults |2 Other |
650 | _ | 7 | |a Europe |2 Other |
650 | _ | 7 | |a NOVA |2 Other |
650 | _ | 7 | |a Obesity |2 Other |
650 | _ | 7 | |a Ultra-processed foods |2 Other |
650 | _ | 7 | |a Weight gain |2 Other |
700 | 1 | _ | |a Kliemann, Nathalie |b 1 |
700 | 1 | _ | |a Huybrechts, Inge |b 2 |
700 | 1 | _ | |a Rauber, Fernanda |b 3 |
700 | 1 | _ | |a Vamos, Eszter P |b 4 |
700 | 1 | _ | |a Levy, Renata Bertazzi |b 5 |
700 | 1 | _ | |a Wagner, Karl-Heinz |b 6 |
700 | 1 | _ | |a Viallon, Vivian |b 7 |
700 | 1 | _ | |a Casagrande, Corinne |b 8 |
700 | 1 | _ | |a Nicolas, Geneviève |b 9 |
700 | 1 | _ | |a Dahm, Christina C |b 10 |
700 | 1 | _ | |a Zhang, Jie |b 11 |
700 | 1 | _ | |a Halkjær, Jytte |b 12 |
700 | 1 | _ | |a Tjønneland, Anne |b 13 |
700 | 1 | _ | |a Boutron-Ruault, Marie-Christine |b 14 |
700 | 1 | _ | |a Mancini, Francesca Romana |b 15 |
700 | 1 | _ | |a Laouali, Nasser |b 16 |
700 | 1 | _ | |a Katzke, Verena |0 P:(DE-He78)fb68a9386399d72d84f7f34cfc6048b4 |b 17 |u dkfz |
700 | 1 | _ | |a Srour, Bernard |0 P:(DE-He78)0644671d309776d45e0fc705d1156cac |b 18 |u dkfz |
700 | 1 | _ | |a Jannasch, Franziska |b 19 |
700 | 1 | _ | |a Schulze, Matthias B |b 20 |
700 | 1 | _ | |a Masala, Giovanna |b 21 |
700 | 1 | _ | |a Grioni, Sara |b 22 |
700 | 1 | _ | |a Panico, Salvatore |b 23 |
700 | 1 | _ | |a van der Schouw, Yvonne T |b 24 |
700 | 1 | _ | |a Derksen, Jeroen W G |b 25 |
700 | 1 | _ | |a Rylander, Charlotta |b 26 |
700 | 1 | _ | |a Skeie, Guri |b 27 |
700 | 1 | _ | |a Jakszyn, Paula |b 28 |
700 | 1 | _ | |a Rodriguez-Barranco, Miguel |b 29 |
700 | 1 | _ | |a Huerta, José María |b 30 |
700 | 1 | _ | |a Barricarte, Aurelio |b 31 |
700 | 1 | _ | |a Brunkwall, Lousie |b 32 |
700 | 1 | _ | |a Ramne, Stina |b 33 |
700 | 1 | _ | |a Bodén, Stina |b 34 |
700 | 1 | _ | |a Perez-Cornago, Aurora |b 35 |
700 | 1 | _ | |a Heath, Alicia K |b 36 |
700 | 1 | _ | |a Vineis, Paolo |b 37 |
700 | 1 | _ | |a Weiderpass, Elisabete |b 38 |
700 | 1 | _ | |a Monteiro, Carlos Augusto |b 39 |
700 | 1 | _ | |a Gunter, Marc J |b 40 |
700 | 1 | _ | |a Millett, Christopher |b 41 |
700 | 1 | _ | |a Freisling, Heinz |b 42 |
773 | _ | _ | |a 10.1016/j.clnu.2021.08.009 |g Vol. 40, no. 9, p. 5079 - 5088 |0 PERI:(DE-600)2009052-3 |n 9 |p 5079 - 5088 |t Clinical nutrition |v 40 |y 2021 |x 0261-5614 |
909 | C | O | |o oai:inrepo02.dkfz.de:170431 |p VDB |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 17 |6 P:(DE-He78)fb68a9386399d72d84f7f34cfc6048b4 |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 18 |6 P:(DE-He78)0644671d309776d45e0fc705d1156cac |
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 |
914 | 1 | _ | |y 2021 |
915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |d 2021-01-30 |w ger |
915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b CLIN NUTR : 2019 |d 2021-01-30 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2021-01-30 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2021-01-30 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2021-01-30 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2021-01-30 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1110 |2 StatID |b Current Contents - Clinical Medicine |d 2021-01-30 |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2021-01-30 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2021-01-30 |
915 | _ | _ | |a IF >= 5 |0 StatID:(DE-HGF)9905 |2 StatID |b CLIN NUTR : 2019 |d 2021-01-30 |
920 | 1 | _ | |0 I:(DE-He78)C020-20160331 |k C020 |l C020 Epidemiologie von Krebs |x 0 |
980 | _ | _ | |a journal |
980 | _ | _ | |a VDB |
980 | _ | _ | |a I:(DE-He78)C020-20160331 |
980 | _ | _ | |a UNRESTRICTED |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|