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Association Between Ultraprocessed Food Consumption and Risk of Mortality Among Middle-aged Adults in France
Open accessAbstract
Importance: 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. Objective: To assess the association between ultraprocessed foods consumption and all-cause mortality risk. Design, Setting, and Participants: 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. Exposures: 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. Main Outcomes and Measures: 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. Results: 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). Conclusions and Relevance: 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.
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“a recent cohort study of 44,551 French adults who were followed for a median of 7.1 years found that a 10% increase in the proportion of ultra-processed food consumption was associated with a 14% greater risk of all-cause mortality136”
From Chronic inflammation in the etiology of disease across the life span (2019) · cites this paper as [136]
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Cites
International physical activity questionnaire: 12-country reliability and validity
CRAIG, C. L., MARSHALL, A. L., SJ??STR??M, M., BAUMAN, A. E., BOOTH, M. L., AINSWORTH, B. E., PRATT, M., EKELUND, U., YNGVE, A., SALLIS, J. F., et al. (2003) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000078924.61453.fb · Cited by 21,619
Diet, nutrition and the prevention of chronic diseases
Joint, W. (2002) · Medical Entomology and Zoology · Cited by 4,890
The State of US Health, 1990-2010: Burden of Diseases, Injuries, and Risk Factors
Murray, C. J. L. (2013) · JAMA · doi:10.1001/jama.2013.13805 · Cited by 2,438
The UN Decade of Nutrition, the NOVA food classification and the trouble with ultra-processing
Monteiro, C. A., Cannon, G., Moubarac, J.-C., Levy, R. B., Louzada, M. L. C., & Jaime, P. C. (2018) · Public Health Nutrition · doi:10.1017/s1368980017000234 · Cited by 2,333
Artificial sweeteners induce glucose intolerance by altering the gut microbiota
Suez, J., Korem, T., Zeevi, D., Zilberman-Schapira, G., Thaiss, C. A., Maza, O., Israeli, D., Zmora, N., Gilad, S., Weinberger, A., et al. (2014) · Nature · doi:10.1038/nature13793 · Cited by 2,067 · cited 1×
“In addition, some findings suggest that artificial intense sweeteners could alter microbiota andbe linkedwith theonset of type2diabetes and metabolic diseases, which are major causes of premature mortality.(59) Food packaging is also suspected to have endocrinedisrupting properties.”
BackgroundDietary emulsifiers impact the mouse gut microbiota promoting colitis and metabolic syndrome
Chassaing, B., Koren, O., Goodrich, J. K., Poole, A. C., Srinivasan, S., Ley, R. E., & Gewirtz, A. T. (2015) · Nature · doi:10.1038/nature14232 · Cited by 2,055
Carcinogenicity of consumption of red and processed meat
Bouvard, V., LOOMIS, D. P., Guyton, K. Z., Grosse, Y., Ghissassi, F. E., Benbrahim‐Tallaa, L., Guha, N., Mattock, H., & Straíf, K. (2015) · The Lancet Oncology · doi:10.1016/s1470-2045(15)00444-1 · Cited by 1,918
Ultra‐processed products are becoming dominant in the global food system
Monteiro, C. A., Moubarac, J. ‐., Cannon, G., Ng, S. W., & Popkin, B. (2013) · Obesity Reviews · doi:10.1111/obr.12107 · Cited by 1,827
Moodie, R., Stuckler, D., Monteiro, C., Sheron, N., Neal, B., Thamarangsi, T., Lincoln, P., & Casswell, S. (2013) · The Lancet · doi:10.1016/s0140-6736(12)62089-3 · Cited by 1,663
Black, A. (2000) · International Journal of Obesity · doi:10.1038/sj.ijo.0801376 · Cited by 1,490
Micha, R., Peñalvo, J. L., Cudhea, F., Imamura, F., Rehm, C. D., & Mozaffarian, D. (2017) · JAMA · doi:10.1001/jama.2017.0947 · Cited by 1,316
Global Sodium Consumption and Death from Cardiovascular Causes
Mozaffarian, D., Fahimi, S., Singh, G. M., Micha, R., Khatibzadeh, S., Engell, R. E., Lim, S., Danaei, G., Ezzati, M., & Powles, J. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1304127 · Cited by 1,218
Fiolet, T., Srour, B., Sellem, L., Kesse-Guyot, E., Allès, B., Méjean, C., Deschasaux, M., Fassier, P., Latino-Martel, P., Beslay, M., et al. (2018) · BMJ · doi:10.1136/bmj.k322 · Cited by 1,057
Self-citationAdded sugar intake and cardiovascular diseases mortality among US adults
Yang, Q., Zhang, Z., Gregg, E. W., Flanders, W. D., Merritt, R., & Hu, F. B. (2014) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2013.13563 · Cited by 947 · cited 1×
“Likewise, ultraprocessed foods tend to contribute to excessive intake of added sugar,(33)whereas added sugar consumption has beenassociatedwithan increasedrisk forCVDmortality.(39)Sugarybeverages andprocessedmeatsmay likelybe factors in the observed correlation between ultraprocessed foods andmortality, as they have b…”
BackgroundA review on endocrine disruptors and their possible impacts on human health
Kabir, E. R., Rahman, M. S., & Rahman, I. (2015) · Environmental Toxicology and Pharmacology · doi:10.1016/j.etap.2015.06.009 · Cited by 945
Scientific Opinion on acrylamide in food
(CONTAM), E. P. O. C. I. T. F. C. (2015) · EFSA Journal · doi:10.2903/j.efsa.2015.4104 · Cited by 886
Martínez Steele, E., Baraldi, L. G., Louzada, M. L. D. C., Moubarac, J.-C., Mozaffarian, D., & Monteiro, C. A. (2016) · BMJ Open · doi:10.1136/bmjopen-2015-009892 · Cited by 838
Consumption of ultra-processed foods predicts diet quality in Canada
Moubarac, J., Batal, M., Louzada, M. L. D. C., Steele, E. M., & Monteiro, C. A. (2016) · Appetite · doi:10.1016/j.appet.2016.11.006 · Cited by 712
Stuckler, D., McKee, M., Ebrahim, S., & Basu, S. (2012) · PLoS Medicine · doi:10.1371/journal.pmed.1001235 · Cited by 666
Mendonça, R. D. D., Pimenta, A. M., Gea, A., de la Fuente-Arrillaga, C., Martinez-Gonzalez, M. A., Lopes, A. C. S., & Bes-Rastrollo, M. (2016) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.116.135004 · Cited by 618
Schwingshackl, L., Schwedhelm, C., Hoffmann, G., Lampousi, A.-M., Knüppel, S., Iqbal, K., Bechthold, A., Schlesinger, S., & Boeing, H. (2017) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.117.153148 · Cited by 600
Dietary fiber and health outcomes: an umbrella review of systematic reviews and meta-analyses
Veronese, N., Solmi, M., Caruso, M. G., Giannelli, G., Osella, A. R., Evangelou, E., Maggi, S., Fontana, L., Stubbs, B., & Tzoulaki, I. (2018) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqx082 · Cited by 536
Consumption of ultra-processed foods and likely impact on human health. Evidence from Canada
Moubarac, J., Martins, A. P. B., Claro, R. M., Levy, R. B., Cannon, G., & Monteiro, C. A. (2012) · Public Health Nutrition · doi:10.1017/s1368980012005009 · Cited by 532
Poti, J. M., Mendez, M. A., Ng, S. W., & Popkin, B. M. (2015) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.114.100925 · Cited by 525
Rauber, F., Campagnolo, P. D. B., Hoffman, D. J., & Vítolo, M. R. (2014) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2014.08.001 · Cited by 516
Mendonça, R. D. D., Lopes, A. C. S., Pimenta, A. M., Gea, A., Martinez-Gonzalez, M. A., & Bes-Rastrollo, M. (2017) · American Journal of Hypertension · doi:10.1093/ajh/hpw137 · Cited by 488
Bettini, S., Boutet-Robinet, E. A., Cartier, C., Coméra, C., Gaultier, E., Dupuy, J., Naud, N., Taché, S., Grysan, P., Réguer, S., et al. (2017) · Scientific Reports · doi:10.1038/srep40373 · Cited by 488
Herçberg, S., Castetbon, K., Czernichow, S., Malon, A., Méjean, C., Kesse‐Guyot, E., Touvier, M., & Galan, P. (2010) · BMC Public Health · doi:10.1186/1471-2458-10-242 · Cited by 475
Self-citationAlonso‐Magdalena, P., Vieira, E. C., Soriano, S., Menes, L., Burks, D. J., Quesada, I., & Nadal, Á. (2010) · Environmental Health Perspectives · doi:10.1289/ehp.1001993 · Cited by 472
Abete, I., Romaguera, D., Vieira, A. R., Lopez de Munain, A., & Norat, T. (2014) · British Journal of Nutrition · doi:10.1017/s000711451400124x · Cited by 448
Wang, X., Lin, X., Ouyang, Y. Y., Liu, J., Zhao, G., Pan, A., & Hu, F. B. (2016) · Public Health Nutrition · doi:10.1017/s1368980015002062 · Cited by 412
Red Meat and Processed Meat Consumption and All-Cause Mortality: A Meta-Analysis
Larsson, S. C., & Orsini, N. (2014) · American Journal of Epidemiology · doi:10.1093/aje/kwt261 · Cited by 353
Ultra-processed foods and added sugars in the Chilean diet (2010)
Cediel, G., Marcela Reyes, J., Louzada, M. L. D. C., Steele, E. M., Monteiro, C. A., Corvalán, C., & Uauy, R. D. (2017) · Public Health Nutrition · doi:10.1017/s1368980017001161 · Cited by 326
Touvier, M., Kesse‐Guyot, E., Méjean, C., Pollet, C., Malon, A., Castetbon, K., & Herçberg, S. (2010) · British Journal Of Nutrition · doi:10.1017/s0007114510004617 · Cited by 324
Self-citationValidity of Web-Based Self-Reported Weight and Height: Results of the Nutrinet-Santé Study
Lassale, C. M., Péneau, S., Touvier, M., Julia, C., Galan, P., Herçberg, S., & Kesse‐Guyot, E. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2575 · Cited by 282
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Viennois, E., Merlin, D., Gewirtz, A. T., & Chassaing, B. (2017) · Cancer Research · doi:10.1158/0008-5472.can-16-1359 · Cited by 268
Adams, J. M., & White, M. J. (2015) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-015-0317-y · Cited by 266
Comparison between web-based and paper versions of a self-administered anthropometric questionnaire
Touvier, M., Méjean, C., Kesse‐Guyot, E., Pollet, C., Malon, A., Castetbon, K., & Herçberg, S. (2010) · European Journal of Epidemiology · doi:10.1007/s10654-010-9433-9 · Cited by 265
Self-citationMuncke, J. (2010) · The Journal of Steroid Biochemistry and Molecular Biology · doi:10.1016/j.jsbmb.2010.10.004 · Cited by 242
Contribution of ultra-processed foods in the diet of adults from the French NutriNet-Santé study.
Julia, C., Martinez, L., Allès, B., Touvier, M., Hercberg, S., Méjean, C., & Kesse-Guyot, E. (2018) · Public Health Nutrition · doi:10.1017/s1368980017001367 · Cited by 235
Self-citationLuiten, C. M., Steenhuis, I. H., Eyles, H. C., Mhurchú, C. N., & Waterlander, W. E. (2015) · Public Health Nutrition · doi:10.1017/s1368980015002177 · Cited by 218
Estaquio, C., Kesse‐Guyot, E., Deschamps, V., Bertrais, S., Dauchet, L., Galan, P., Herçberg, S., & Castetbon, K. (2009) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2009.03.012 · Cited by 216
Self-citationProcessed and Ultra-processed Food Products: Consumption Trends in Canada from 1938 to 2011
Moubarac, J.-C., Batal, M., Martins, A. P. B., Claro, R., Levy, R. B., Cannon, G., & Monteiro, C. (2014) · Canadian Journal of Dietetic Practice and Research · doi:10.3148/75.1.2014.15 · Cited by 200
Vergnaud, A., Touvier, M., Méjean, C., Kesse‐Guyot, E., Pollet, C., Malon, A., Castetbon, K., & Herçberg, S. (2011) · International Journal of Public Health · doi:10.1007/s00038-011-0257-5 · Cited by 184
Self-citationLassale, C., Castetbon, K., Laporte, F., Camilleri, G. M., Deschamps, V., Vernay, M., Faure, P., Hercberg, S., Galan, P., & Kesse-Guyot, E. (2015) · British Journal Of Nutrition · doi:10.1017/s0007114515000057 · Cited by 181
Self-citationDietary Acrylamide and Human Cancer: A Systematic Review of Literature
Virk-Baker, M. K., Nagy, T. R., Barnes, S., & Groopman, J. D. (2014) · Nutrition and Cancer · doi:10.1080/01635581.2014.916323 · Cited by 161
Lassale, C., Castetbon, K., Laporte, F., Deschamps, V., Vernay, M., Camilleri, G. M., Faure, P., Hercberg, S., Galan, P., & Kesse-Guyot, E. (2016) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2015.09.017 · Cited by 150
Self-citationCarbon black, titanium dioxide, and talc.
(2010) · PubMed Central · Cited by 149
Yang, Y., Zhao, L.-G., Wu, Q.-J., Ma, X., & Xiang, Y.-B. (2015) · American Journal of Epidemiology · doi:10.1093/aje/kwu257 · Cited by 119
Djupegot, I. L., Nenseth, C. B., Bere, E. T., Bjørnarå, H. B., Helland, S. H., Øverby, N. C., Torstveit, M. K., & Stea, T. H. (2017) · BMC Public Health · doi:10.1186/s12889-017-4408-3 · Cited by 119
Andreeva, V. A., Deschamps, V., Salanave, B., Castetbon, K., Verdot, C., Kesse‐Guyot, E., & Herçberg, S. (2016) · American Journal of Epidemiology · doi:10.1093/aje/kww016 · Cited by 110
Self-citationMoreira, P. V. L., Baraldi, L. G., Moubarac, J.-C., Monteiro, C. A., Newton, A., Capewell, S., & O’Flaherty, M. (2015) · PLOS ONE · doi:10.1371/journal.pone.0118353 · Cited by 105
Simões, B. D. S., Barreto, S. M., Molina, M. D. C. B., Luft, V. C., Duncan, B. B., Schmidt, M. I., Benseñor, I. M., Cardoso, L. D. O., Levy, R. B., & Giatti, L. (2018) · Cadernos de Saúde Pública · doi:10.1590/0102-311x00019717 · Cited by 82
Health effects of exposure to nano-TiO2: a meta-analysis of experimental studies
Chang, X., Zhang, Y. X., Tang, M. X., & Wang, B. (2013) · Nanoscale Research Letters · doi:10.1186/1556-276x-8-51 · Cited by 81
Moreira, P. V., Hyseni, L., Moubarac, J., Martins, A. P. B., Baraldi, L. G., Capewell, S., O’Flaherty, M., & Guzman-Castillo, M. (2017) · Public Health Nutrition · doi:10.1017/s1368980017002063 · Cited by 61
Simões, B. D. S., Barreto, S. M., Molina, M. D. C. B., Luft, V. C., Duncan, B. B., Schmidt, M. I., Benseñor, I. M., Cardoso, L. D. O., Levy, R. B., & Giatti, L. (2017) · The FASEB Journal · doi:10.1096/fasebj.31.1_supplement.788.12 · Cited by 20
Assmann, K. E., Lassale, C. M., Galan, P., Herçberg, S., & Kesse‐Guyot, E. (2014) · PLoS ONE · doi:10.1371/journal.pone.0087083 · Cited by 19
Self-citationLe temps de l'alimentation en France
Pol, T. D. S., & Ricroch, L. (2012) · HAL (Le Centre pour la Communication Scientifique Directe) · Cited by 17
Flagged first, then by citations
3 of the 61 references couldn’t be matched to a known paper.
Research works printed but not linked: 3
- Le Moullec, 1996, Validation du manuel-photos utilisé pour l’enquête alimentaire de l’étude SU. VI. MAX., Cah Nutr Diét, 31, 158
- Nutrinet-Santé, 2013, Table de Composition des Aliments de l’étude NutriNet-Santé
- World Health Organization, 1992, International Statistical Classification of Diseases, Tenth Revision (ICD-10)
Cited by
Sorted by citations
Chronic inflammation in the etiology of disease across the life span
Furman, D., Campisi, J., Verdin, E., Carrera-Bastos, P., Targ, S., Franceschi, C., Ferrucci, L., Gilroy, D. W., Fasano, A., Miller, G. W., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0675-0 · Cited by 4,915
Hall, K. D., Ayuketah, A., Brychta, R., Cai, H., Cassimatis, T., Chen, K. Y., Chung, S. T., Costa, E., Courville, A., Darcey, V., et al. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.05.008 · Cited by 1,971
Popkin, B. M., Du, S., Green, W. D., Beck, M. A., Algaith, T., Herbst, C. H., Alsukait, R. F., Alluhidan, M., Alazemi, N., & Shekar, M. (2020) · Obesity Reviews · doi:10.1111/obr.13128 · Cited by 1,150
Baker, P., Machado, P., Santos, T., Sievert, K., Backholer, K., Hadjikakou, M., Russell, C., Huse, O., Bell, C., Scrinis, G., et al. (2020) · Obesity Reviews · doi:10.1111/obr.13126 · Cited by 1,194
Consumption of ultra-processed foods and health status: a systematic review and meta-analysis
Pagliai, G., Dinu, M., Madarena, M. P., Bonaccio, M., Iacoviello, L., & Sofi, F. (2021) · British Journal of Nutrition · doi:10.1017/s0007114520002688 · Cited by 918
Metadata
- Authors
- Schnabel, L., Kesse-Guyot, E., Allès, B., Touvier, M., Srour, B., Hercberg, S., Buscail, C., & Julia, C.
- Affiliations
- Université Sorbonne Paris Nord (FR)
- Université Paris 13, Equipe de Recherche en Epidémiologie Nutritionnelle, Centre de Recherche Epidémiologie et Statistique, Sorbonne Paris Cité, Bobigny, France
- Corresponding author
- Schnabel, Laure
- Venue
- JAMA Internal Medicine
- Publisher
- American Medical Association (AMA)
- Published
- 2019-04-01
- Volume
- 179
- Issue
- 4
- Pages
- 490
- ISSN
- 2168-6106 (ISSN-L)
- PMC
- PMC6450295
- OpenAlex
- W2911872206
- Cited by
- 390
- References
- 61
- Citations by year
- 2026: 22 · 2025: 32 · 2024: 49 · 2023: 46 · 2022: 66 · 2021: 84 · 2020: 52 · 2019: 38
- FWCI
- 55.23
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- JAMA Internal Medicine (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Consumer Attitudes and Food Labeling
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Global Public Health Policies and Epidemiology
- Keywords
- ultra-processed foods, all-cause mortality, NOVA classification, middle-aged adults, dietary intake, food processing, mortality risk, NutriNet-Santé cohort, energy intake, non-communicable diseases, food additives, dietary habits, French adults, age differences in diet, sex differences in diet, socioeconomic status, physical activity, alcohol consumption, smoking, body mass index
- MeSH terms
- Energy Intake, Cause of Death, Female, Follow-Up Studies, Food Handling, France, Humans, Male, Middle Aged, Obesity, Prospective Studies, Risk Factors, Exercise, Survival Rate, Risk Assessment, Fast Foods
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