Cited by 82

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Added sugars and ultra-processed foods in Spanish households (1990–2010)

Latasa, P., Louzada, M. L. D. C., Martinez Steele, E., Monteiro, C. A.·2018·European Journal of Clinical Nutrition

Abstract

Background/objectives To study the association between ultra-processed foods acquisitions and added sugar content of total food purchases in Spanish households in 2010. Changes over time (1990-2000-2010) in ultra-processed food purchases and added sugars content of total food purchases are also compared. Subjects/methods We used data from three nationally representative Household Budget Surveys (HBS) conducted in 1990, 2000 and 2010. Number of studied households was 21,012, 33,730 and 22,116, respectively. Purchased foods and drinks were classified according to NOVA food groups as ultra-processed foods, processed foods, unprocessed or minimally processed foods, or processed culinary ingredients. Linear and Poisson regressions were used to estimate the association between quintiles of energy contribution of ultra-processed foods and added sugars contents of total food purchases in 2010. Changes over time were assessed using tests of linear trend and Student's t test. Results In 2010, ultra-processed foods represented 31.7% of daily energy acquisitions and 80.4% of all added sugars. Added sugars content of food purchases raised from 7.3% in the lowest to 18.2% in the highest quintiles of energy contribution of ultra-processed foods. The risk of exceeding 10% energy from added sugars quadrupled between the lowest and highest quintiles. The percentage of ultra-processed foods on all food purchases almost tripled between 1990 and 2010 (from 11.0 to 31.7%), paralleling the increase…

Overview

Integrity signals

Registry

Crossref · 10.1038/s41430-017-0039-0

Cites

8 of 8 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

  • The energy contribution of UPFs to total household food purchases increased in Spain, Canada, Mexico, Brazil, Argentina, China, South Korea, the USA, and the UK over recent decades.

    “The energy contribution of UPFs to total household food purchases nearly tripled in Spain 39 over three decades (11•0% to 31•7%), more than doubled in Canada 40 over eight decades (24•4% to 54•9%), and increased from 10% to 23% in Mexico 41 and Brazil 42 over four decades (figure 1).”

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 28

  1. Te Morenga LA, Howatson AJ, Jones RM, Mann J. Dietary sugars and cardiometabolic risk: systematic review and meta-analyses of randomized controlled trials of the effects on blood pressure and lipids. Am J Clin Nutr 2014;100(1):65–79. https://doi.org/10.3945/ajcn.113.0815214 . · DOI
  2. Hu FB, Malik VS. Sugar-sweetened beverages and risk of obesity and type 2 diabetes: epidemiologic evidence. Physiol Behav 2010;100(1):47–54. · DOI · Paper page
  3. Malik VS, Popkin BM, Bray GA, Després JP, Willett WC, Hu FB. Sugar-sweetened beverages and risk ofmetabolic syndrome and type 2 diabetes: a meta-analysis. Diabetes Care 2010;33(11):2477–83. · DOI · Paper page
  4. de Koning L, Malik VS, Kellogg MD, Rimm EB, Willett WC, Hu FB. Sweetened beverage consumption, incident coronary heart disease, and biomarkers of risk in men. Circulation 2012;125(14):1735–41. · DOI · Paper page
  5. Monteiro CA, Cannon G, Levy RB, Claro R, Moubarac JC. The food system. ultra-processing. the big issue for nutrition, disease, health, well-being [Commentary]. World Nutr. 2012;3(12):527–69.
  6. Monteiro CA, Cannon G, Levy RB, Claro RM, Moubarac J-C. Ultra-processing and a new classification of foods. In: Neff R, (ed). Introduction to the US food system: public health, environment, and equity. San Francisco, CA: Jossey Bass A Wiley Brand; 2015.
  7. Monteiro CA, Levy RB, Claro RM, de Castro IRR, Cannon G. A new classification of foods based on the extent and purpose of their processing. Cad Sauìde Puìblica. 2010;26(11):2039–49. · DOI · Paper page
  8. Moubarac JC, Parra DC, Cannon G, Monteiro CA. Food classification systems based on food processing: significance and implications for policies and actions: a systematic literature review and assessment. Curr Obes Rep 2014;3(2):256–72. · DOI · Paper page
  9. Monteiro CA, Moubarac JC, Cannon G, Popkin BM. Ultra-processed products are becoming dominant in the global food system. Obes Rev 2013;14(Suppl. 2):21–28. https://doi.org/10.1111/obr.12107 . · DOI · Paper page
  10. Monteiro CA, Levy RB, Claro RM, de Castro IRR, Cannon G. Increasing consumption of ultra-processed foods and likely impact on human health: evidence from Brazil. Public Health Nutr 2011;14(1):5–13. · DOI · Paper page
  11. Moubarac JC, Martins APB, Claro RM, Levy RB, Cannon G, Monteiro CA. Consumption of ultra-processed foods and likely impact on human health. Evidence from Canada. Public Health Nutr 2013;16(12):2240–8. · DOI
  12. Crovetto MM, Uauy R, Martins AP, Moubarac JC, Monteiro C. Disponibilidad de productos alimentarios listos para el consumo en los hogares de Chile y su impacto sobre la calidad de la dieta (2006–7). Rev Médica Chile. 2014;142(7):850–8. · DOI
  13. Da Costa Louzada ML, Martins APB, Canella DS, Baraldi LG, Levy RB, Claro RM, et al. Ultra-processed foods and the nutritional dietary profile in Brazil. Rev Saúde Pública. 2015;49:38.
  14. Martínez Steele E, Baraldi LG, Louzada ML, da C, Moubarac JC, Mozaffarian D, Monteiro CA. Ultra-processed foods and added sugars in the US diet: evidence from a nationally representative cross-sectional study. BMJ Open 2016;6:e009892. https://doi.org/10.1136/bmjopen-2015-009892 . · DOI · Paper page
  15. Varela-Moreiras G, Ruiz E, Valero T, Avila JM, del Pozo S. The Spanish diet: an update. Nutr Hosp 2013;28(Suppl 5):13–20. https://doi.org/10.3305/nh.2013.28.sup5.6914. · DOI
  16. Monteiro CA. Nutrition and health. The issue is not food, nor nutrients, so much as processing. Public Health Nutr 2009;12(5):729–31. · DOI
  17. FAO. Guidelines on the collection of information on food processing through food consumption surveys. Rome: FAO; 2015.
  18. Monteiro CA, Cannon G, Levy RB, Moubarac JC, Jaime P, Martins AP, et al. NOVA. The star shines bright. [Food classification. Public health] World Nutrition January-March 2016;7(1-3):28–38.
  19. Ludwig DS. Technology, diet, and the burden of chronic disease. JAMA 2011;305:1352–3. · DOI
  20. Monteiro C, Cannon G. The big issue is processing. What are ultra-processed products. [Commentary]. World Nutr. 2012;3(6):257–68.
  21. United States Department of Agriculture. Agricultural Research Service. USDA National Nutrient Database for Standard Reference. Beltsville: USDA; 2002. Release, 15.
  22. Barros AJD, Hirakata VN. Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio. BMC Med Res Methodol 2003;3:21.
  23. Subar AF, Freedman LS, Tooze JA, Kirkpatrick SI, Boushey C, Neuhouser ML, et al. Addressing current criticism regarding the value of self-report dietary data. The Journal of Nutrition 2015. https://doi.org/10.3945/jn.115.219634 . · DOI · Paper page
  24. Naska A, Katsoulis M, Orfanos P, Lachat C, Gedrich K, Rodrigues SS, et al. HECTOR Consortium. Eating out is different from eating at home among individuals who occasionally eat out. A cross-sectional study among middle-aged adults from eleven European countries. Br J Nutr 2015;113(12):1951–64. https://doi.org/10.1017/S0007114515000963 Epub 2015 Apr 24. · DOI
  25. Naska A, Vasdekis VG, Trichopoulou A. A preliminary assessment of the use of household budget survey data for the prediction of individual food consumption. Public Health Nutr 2001;4:1159–65.
  26. Louzada MLC, Levy RB, Martins APB, Claro RM, Steele EM, Verly Junior E, et al. Validating the usage of household food acquisition surveys to assess the consumption of ultra-processed foods: evidence from Brazil. Food Policy. 2017;72:112–20. · DOI
  27. Ruiz E, Ávila JM, Valero T, Del Pozo S, Rodriguez P, Aranceta-Bartrina J, et al. Macronutrient distribution and dietary sources in the spanish population: findings from the ANIBES study. Nutrients 2016;8(3):177. https://doi.org/10.3390/nu8030177 . · DOI
  28. Ruiz E, Rodriguez P, Valero T, Ávila JM, Aranceta-Bartrina J, Gil Á, et al. Dietary intake of individual (free and intrinsic) sugars and food sources in the spanish population: findings from the ANIBES study. Nutrients. 2017;9(3). pii: E275. https://doi.org/10.3390/nu9030275 . · DOI

Cited by

Sorted by citations

Metadata

Authors
Latasa, P., Louzada, M. L. D. C., Martinez Steele, E., & Monteiro, C. A.
Venue
European Journal of Clinical Nutrition
Published
2017-12-26
Volume
72
Issue
10
Pages
1404-1412
ISSN
  • 0954-3007
  • 1476-5640
Cited by
82
References
8
Language
en

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