Association Between Ultraprocessed Food Consumption and Risk of Mortality Among Middle-aged Adults in France.
Cause of Death
/ trends
Energy Intake
Exercise
Fast Foods
/ statistics & numerical data
Female
Follow-Up Studies
Food Handling
/ statistics & numerical data
France
/ epidemiology
Humans
Male
Middle Aged
Obesity
/ etiology
Prospective Studies
Risk Assessment
/ methods
Risk Factors
Survival Rate
/ trends
Journal
JAMA internal medicine
ISSN: 2168-6114
Titre abrégé: JAMA Intern Med
Pays: United States
ID NLM: 101589534
Informations de publication
Date de publication:
01 04 2019
01 04 2019
Historique:
pubmed:
12
2
2019
medline:
14
2
2020
entrez:
12
2
2019
Statut:
ppublish
Résumé
Growing evidence indicates that higher intake of ultraprocessed foods is associated with higher incidence of noncommunicable diseases. However, to date, the association between ultraprocessed foods consumption and mortality risk has never been investigated. To assess the association between ultraprocessed foods consumption and all-cause mortality risk. This observational prospective cohort study selected adults, 45 years or older, from the French NutriNet-Santé Study, an ongoing cohort study that launched on May 11, 2009, and performed a follow-up through December 15, 2017 (a median of 7.1 years). Participants were selected if they completed at least 1 set of 3 web-based 24-hour dietary records during their first 2 years of follow-up. Self-reported data were collected at baseline, including sociodemographic, lifestyle, physical activity, weight and height, and anthropometrics. The ultraprocessed foods group (from the NOVA food classification system), characterized as ready-to-eat or -heat formulations made mostly from ingredients usually combined with additives. Proportion (in weight) of ultraprocessed foods in the diet was computed for each participant. The association between proportion of ultraprocessed foods and overall mortality was the main outcome. Mean dietary intakes from all of the 24-hour dietary records available during the first 2 years of follow-up were calculated and considered as the baseline usual food-and-drink intakes. Mortality was assessed using CépiDC, the French national registry of specific mortality causes. Hazard ratios (HRs) and 95% CIs were determined for all-cause mortality, using multivariable Cox proportional hazards regression models, with age as the underlying time metric. A total of 44 551 participants were included, of whom 32 549 (73.1%) were women, with a mean (SD) age at baseline of 56.7 (7.5) years. Ultraprocessed foods accounted for a mean (SD) proportion of 14.4% (7.6%) of the weight of total food consumed, corresponding to a mean (SD) proportion of 29.1% (10.9%) of total energy intake. Ultraprocessed foods consumption was associated with younger age (45-64 years, mean [SE] proportion of food in weight, 14.50% [0.04%]; P < .001), lower income (<€1200/mo, 15.58% [0.11%]; P < .001), lower educational level (no diploma or primary school, 15.50% [0.16%]; P < .001), living alone (15.02% [0.07%]; P < .001), higher body mass index (calculated as weight in kilograms divided by height in meters squared; ≥30, 15.98% [0.11%]; P < .001), and lower physical activity level (15.56% [0.08%]; P < .001). A total of 602 deaths (1.4%) occurred during follow-up. After adjustment for a range of confounding factors, an increase in the proportion of ultraprocessed foods consumed was associated with a higher risk of all-cause mortality (HR per 10% increment, 1.14; 95% CI, 1.04-1.27; P = .008). An increase in ultraprocessed foods consumption appears to be associated with an overall higher mortality risk among this adult population; further prospective studies are needed to confirm these findings and to disentangle the various mechanisms by which ultraprocessed foods may affect health.
Identifiants
pubmed: 30742202
pii: 2723626
doi: 10.1001/jamainternmed.2018.7289
pmc: PMC6450295
doi:
Types de publication
Journal Article
Multicenter Study
Observational Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
490-498Commentaires et corrections
Type : CommentIn
Type : CommentIn
Références
BMJ Open. 2016 Mar 09;6(3):e009892
pubmed: 26962035
Am J Clin Nutr. 2018 Mar 1;107(3):436-444
pubmed: 29566200
J Am Diet Assoc. 2009 Jun;109(6):1031-41
pubmed: 19465185
Am J Clin Nutr. 2016 Nov;104(5):1433-1440
pubmed: 27733404
BMC Public Health. 2017 May 15;17(1):447
pubmed: 28506318
Appetite. 2017 Jan 1;108:512-520
pubmed: 27825941
Br J Nutr. 2011 Apr;105(7):1055-64
pubmed: 21080983
Public Health Nutr. 2018 Jan;21(1):27-37
pubmed: 28703085
Nutr Metab Cardiovasc Dis. 2015 Jan;25(1):116-22
pubmed: 25240690
Lancet Oncol. 2015 Dec;16(16):1599-600
pubmed: 26514947
Int J Behav Nutr Phys Act. 2015 Dec 18;12:160
pubmed: 26684833
JAMA Intern Med. 2014 Apr;174(4):516-24
pubmed: 24493081
JAMA. 2017 Mar 7;317(9):912-924
pubmed: 28267855
PLoS One. 2015 Feb 13;10(2):e0118353
pubmed: 25679527
Nutr Cancer. 2014;66(5):774-90
pubmed: 24875401
Obes Rev. 2013 Nov;14 Suppl 2:21-8
pubmed: 24102801
BMC Public Health. 2010 May 11;10:242
pubmed: 20459807
Public Health Nutr. 2018 Jan;21(1):181-188
pubmed: 28885137
Eur J Epidemiol. 2010 May;25(5):287-96
pubmed: 20191377
Am J Epidemiol. 2014 Feb 1;179(3):282-9
pubmed: 24148709
Public Health Nutr. 2013 Dec;16(12):2240-8
pubmed: 23171687
Environ Health Perspect. 2010 Sep;118(9):1243-50
pubmed: 20488778
Public Health Nutr. 2018 Jan;21(1):125-133
pubmed: 28625223
Cancer Res. 2017 Jan 1;77(1):27-40
pubmed: 27821485
Br J Nutr. 2014 Sep 14;112(5):762-75
pubmed: 24932617
IARC Monogr Eval Carcinog Risks Hum. 2010;93:1-413
pubmed: 21449489
Can J Diet Pract Res. 2014 Spring;75(1):15-21
pubmed: 24606955
J Acad Nutr Diet. 2016 Mar;116(3):427-438.e5
pubmed: 26522988
Am J Epidemiol. 2015 Jan 15;181(2):83-91
pubmed: 25552267
Cad Saude Publica. 2018 Mar 05;34(3):e00019717
pubmed: 29513858
J Steroid Biochem Mol Biol. 2011 Oct;127(1-2):118-27
pubmed: 21073950
Med Sci Sports Exerc. 2003 Aug;35(8):1381-95
pubmed: 12900694
Environ Toxicol Pharmacol. 2015 Jul;40(1):241-58
pubmed: 26164742
Sci Rep. 2017 Jan 20;7:40373
pubmed: 28106049
Am J Epidemiol. 2016 Nov 1;184(9):660-669
pubmed: 27744386
N Engl J Med. 2014 Aug 14;371(7):624-34
pubmed: 25119608
Public Health Nutr. 2016 Feb;19(3):530-8
pubmed: 26222226
Int J Obes Relat Metab Disord. 2000 Sep;24(9):1119-30
pubmed: 11033980
Lancet. 2013 Feb 23;381(9867):670-9
pubmed: 23410611
Am J Hypertens. 2017 Apr 1;30(4):358-366
pubmed: 27927627
BMJ. 2018 Feb 14;360:k322
pubmed: 29444771
Nanoscale Res Lett. 2013 Jan 25;8(1):51
pubmed: 23351429
Public Health Nutr. 2018 Jan;21(1):5-17
pubmed: 28322183
Am J Clin Nutr. 2015 Jun;101(6):1251-62
pubmed: 25948666
Nature. 2014 Oct 9;514(7521):181-6
pubmed: 25231862
PLoS One. 2014 Feb 06;9(2):e87083
pubmed: 24516542
Am J Clin Nutr. 2017 Jun;105(6):1462-1473
pubmed: 28446499
Nature. 2015 Mar 5;519(7541):92-6
pubmed: 25731162
Int J Public Health. 2011 Aug;56(4):407-17
pubmed: 21538094
Br J Nutr. 2015 Mar 28;113(6):953-62
pubmed: 25772032
JAMA. 2013 Aug 14;310(6):591-608
pubmed: 23842577
PLoS Med. 2012;9(6):e1001235
pubmed: 22745605
J Med Internet Res. 2013 Aug 08;15(8):e152
pubmed: 23928492
Public Health Nutr. 2016 Apr;19(5):893-905
pubmed: 26143683