The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Artificial sweeteners and risk of cardiovascular diseases: results from the prospective NutriNet-Santé cohort
Abstract
Objectives: To study the associations between artificial sweeteners from all dietary sources (beverages, but also table top sweeteners, dairy products, etc), overall and by molecule (aspartame, acesulfame potassium, and sucralose), and risk of cardiovascular diseases (overall, coronary heart disease, and cerebrovascular disease). Design: Population based prospective cohort study (2009-21). Setting: France, primary prevention research. Participants: 103 388 participants of the web based NutriNet-Santé cohort (mean age 42.2±14.4, 79.8% female, 904 206 person years). Dietary intakes and consumption of artificial sweeteners were assessed by repeated 24 h dietary records, including brand names of industrial products. Main outcomes measures: Associations between sweeteners (coded as a continuous variable, log10 transformed) and cardiovascular disease risk, assessed by multivariable adjusted Cox hazard models. Results: Total artificial sweetener intake was associated with increased risk of cardiovascular diseases (1502 events, hazard ratio 1.09, 95% confidence interval 1.01 to 1.18, P=0.03); absolute incidence rate in higher consumers (above the sex specific median) and non-consumers was 346 and 314 per 100 000 person years, respectively. Artificial sweeteners were more particularly associated with cerebrovascular disease risk (777 events, 1.18, 1.06 to 1.31, P=0.002; incidence rates 195 and 150 per 100 000 person years in higher and non-consumers, respectively). Aspartame intake was associated with increased risk of cerebrovascular events (1.17, 1.03 to 1.33, P=0.02; incidence rates 186 and 151 per 100 000 person years in higher and non-consumers, respectively), and acesulfame potassium and sucralose were associated with increased coronary heart disease risk (730 events; acesulfame potassium: 1.40, 1.06 to 1.84, P=0.02; incidence rates 167 and 164; sucralose: 1.31, 1.00 to 1.71, P=0.05; incidence rates 271 and 161). Conclusions: The findings from this large scale prospective cohort study suggest a potential direct association between higher artificial sweetener consumption (especially aspartame, acesulfame potassium, and sucralose) and increased cardiovascular disease risk. Artificial sweeteners are present in thousands of food and beverage brands worldwide, however they remain a controversial topic and are currently being re-evaluated by the European Food Safety Authority, the World Health Organization, and other health agencies. Trial registration: ClinicalTrials.gov NCT03335644
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“emerging evidence in humans shows links between exposure to additives, including non-sugar sweeteners, emulsifiers, colorants, and nitrates/nitrites, and detrimental health outcomes.”
From Ultra-processed food exposure and adverse health outcomes: umbrella review of epidemiological meta-analyses (2024) · cites this paper as [61]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Sterne, J. A. C., White, I. R., Carlin, J. B., Spratt, M., Royston, P., Kenward, M. G., Wood, A. M., & Carpenter, J. R. (2009) · BMJ · doi:10.1136/bmj.b2393 · Cited by 7,299
Willett, W. C. (1998) · doi:10.1093/acprof:oso/9780195122978.001.0001 · Cited by 4,541
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
Competing risks in epidemiology: possibilities and pitfalls
Andersen, P. K., Geskus, R. B., de Witte, T., & Putter, H. (2012) · International Journal of Epidemiology · doi:10.1093/ije/dyr213 · Cited by 985
Added 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
Sweetened beverage consumption and risk of coronary heart disease in women
Fung, T. T., Malik, V., Rexrode, K. M., Manson, J. E., Willett, W. C., & Hu, F. B. (2009) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.2008.27140 · Cited by 601
Malik, V. S., Li, Y., Pan, A., De Koning, L., Schernhammer, E., Willett, W. C., & Hu, F. B. (2019) · Circulation · doi:10.1161/circulationaha.118.037401 · Cited by 421
Qin, P., Li, Q., Zhao, Y., Chen, Q., Sun, X., Liu, Y., Li, H., Wang, T., Chen, X., Zhou, Q., et al. (2020) · European Journal of Epidemiology · doi:10.1007/s10654-020-00655-y · Cited by 323
Miller, P. E., & Perez, V. (2014) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.082826 · Cited by 313
Guasch-Ferré, M., Babio, N., Martínez-González, M. A., Corella, D., Ros, E., Martín-Peláez, S., Estruch, R., Arós, F., Gómez-Gracia, E., Fiol, M., et al. (2015) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.115.116046 · Cited by 313
Flagged first, then by citations
Research works printed but not linked: 70
- 10.3389/fnut.2020.603653 · DOI
- 10.1016/j.mayocp.2019.05.034 · DOI · Paper page
- 10.1002/ffj.2074 · DOI
- 2020, Outcome of the public consultation on a draft protocol for assessing exposure to sweeteners as part of their safety assessment under the food additives re-evaluation programme, EFSA Supporting Publications., 17, 1913E
- 10.1002/oby.21327 · DOI
- 10.1080/17470218.2011.552729 · DOI
- 10.1016/j.appet.2012.10.009 · DOI
- 10.1016/j.acvd.2015.10.005 · DOI
- 10.3389/fnut.2021.746247 · DOI
- 10.1016/j.numecd.2020.01.014 · DOI
- 10.1007/s10059-011-1009-3 · DOI
- 10.1093/advances/nmy037 · DOI
- 10.3390/nu12041153 · DOI
- 10.1186/s13690-015-0092-x · DOI
- 10.1503/cmaj.161390 · DOI
- 10.1136/bmj.k4718 · DOI
- 10.1161/CIRCRESAHA.117.308903 · DOI
- 10.1007/s11606-014-3098-0 · DOI
- 10.1007/s11606-011-1968-2 · DOI · Paper page
- 10.1016/j.jacc.2020.08.075 · DOI
- 10.1161/STROKEAHA.118.023100 · DOI
- 10.1161/STROKEAHA.116.016027 · DOI
- 10.1001/jamainternmed.2019.2478 · DOI
- 10.1161/CIRCULATIONAHA.111.067017 · DOI · Paper page
- 10.1093/ajcn/nqz094 · DOI
- 10.3390/nu13082636 · DOI · Paper page
- 10.1093/advances/nmaa084 · DOI · Paper page
- 10.1186/1471-2458-10-242 · DOI
- 10.2196/jmir.2575 · DOI
- 10.1007/s10654-010-9433-9 · DOI
- 10.1007/s00038-011-0257-5 · DOI
- 10.1249/01.MSS.0000078924.61453.FB · DOI · Paper page
- 10.1249/MSS.0b013e31821ece12 · DOI · Paper page
- le Moullec, 1996, Validation du Manuel-photos utilisé pour l’enquête alimentaire de l’étude SU.VI.MAX, Cah Nutr Diét, 31, 158
- 10.1017/S0007114510004617 · DOI
- 10.1016/j.jand.2015.09.017 · DOI
- 10.1038/sj.ijo.0801376 · DOI
- 10.1038/sj.ejcn.1600971 · DOI
- Goldberg, 1991, Critical evaluation of energy intake data using fundamental principles of energy physiology: 1. Derivation of cut-off limits to identify under-recording, Eur J Clin Nutr, 45, 569
- 10.1038/s41598-021-98496-6 · DOI
- 10.1002/sim.3841 · DOI
- Rodgers, 2019, 6, 19
- 10.1001/jamainternmed.2017.1877 · DOI
- 10.1001/jama.291.18.2204 · DOI
- 10.1093/ajcn/65.4.1220S · DOI
- 10.1136/bmj.f6879 · DOI · Paper page
- 10.1080/10408398.2021.1949575 · DOI
- Tournois, 2000, Autoduperie et héteroduperie: Un instrument de mesure de la désirabilité sociale. [Self-deception and other-deception: a social desirability questionnaire], European Review of Applied Psychology / Revue Européenne de Psychologie Appliquée, 50, 219
- 10.1136/bmj.l1451 · DOI · Paper page
- 10.3945/an.114.007062 · DOI
- 10.1136/jech-2014-205263 · DOI
- 10.1080/19440049.2013.851417 · DOI
- 10.1371/journal.pmed.1003950 · DOI · Paper page
- 10.1136/bmj.m688 · DOI
- 10.1111/ijcp.12841 · DOI · Paper page
- 10.1001/jamanetworkopen.2022.2092 · DOI
- 10.1038/nutd.2016.9 · DOI
- 10.1371/journal.pone.0167241 · DOI
- 10.3390/nu7053569 · DOI
- 10.3945/jn.116.230367 · DOI
- 10.1161/JAHA.119.015668 · DOI
- 10.1016/j.foodres.2021.110220 · DOI
- 10.1111/ijcp.12927 · DOI
- 10.1017/S1368980020003614 · DOI
- 10.1016/S1098-3597(07)80025-1 · DOI
- 10.1161/CIRCULATIONAHA.107.689935 · DOI · Paper page
- 10.1007/s11606-012-2069-6 · DOI
- 10.1001/jama.294.18.2330 · DOI · Paper page
- 10.1159/000458769 · DOI
- 10.1016/j.bbr.2012.04.024 · DOI
Cited by
Sorted by citations
Lane, M. M., Gamage, E., Du, S., Ashtree, D. N., McGuinness, A. J., Gauci, S., Baker, P., Lawrence, M., Rebholz, C. M., Srour, B., et al. (2024) · BMJ · doi:10.1136/bmj-2023-077310 · Cited by 1,153
Self-citationUltra-processed foods and human health: the main thesis and the evidence
Monteiro, C. A., Louzada, M. L., Steele-Martinez, E., Cannon, G., Andrade, G. C., Baker, P., Bes-Rastrollo, M., Bonaccio, M., Gearhardt, A. N., Khandpur, N., et al. (2025) · The Lancet · doi:10.1016/s0140-6736(25)01565-x · Cited by 339
Self-citationDecoding the Foodome: Molecular Networks Connecting Diet and Health
Menichetti, G., Barabási, A.-L., & Loscalzo, J. (2024) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-062322-030557 · Cited by 32
Metadata
- Authors
- Debras, C., Chazelas, E., Sellem, L., Porcher, R., Druesne-Pecollo, N., Esseddik, Y., de Edelenyi, F. S., Agaësse, C., De Sa, A., Lutchia, R., Fezeu, L. K., Julia, C., Kesse-Guyot, E., Allès, B., Galan, P., Hercberg, S., Deschasaux-Tanguy, M., Huybrechts, I., Srour, B., & Touvier, M.
- Affiliations
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Centre, University of Paris (CRESS), Bobigny, France
- Université de Paris, CRESS UMR1153, INSERM, INRA, Paris, France
- French network for Nutrition and Cancer Research (NACRe network), Jouy-en-Josas, France
- ORCID
- Debras, Charlotte
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2022-09-07
- Volume
- 378
- Pages
- e071204
- ISSN
- 1756-1833
- PMC
- PMC9449855
- Cited by
- 222
- References
- 19
- Language
- en
- Funders
- H2020 European Research Council
- Conservatoire National des Arts et Métiers
- Institut National Du Cancer
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review