Cited by 564

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Ultraprocessed food and chronic noncommunicable diseases: A systematic review and meta‐analysis of 43 observational studies

Lane, Melissa M., Davis, Jessica A., Beattie, Sally, Gómez‐Donoso, Clara, Loughman, Amy, O'Neil, Adrienne, Jacka, Felice, Berk, Michael, Page, Richard, Marx, Wolfgang, Rocks, Tetyana·2021·Obesity Reviews

Abstract

Summary: This systematic review and meta‐analysis investigated the association between consumption of ultraprocessed food and noncommunicable disease risk, morbidity and mortality. Forty‐three observational studies were included ( N = 891,723): 21 cross‐sectional, 19 prospective, two case‐control and one conducted both a prospective and cross‐sectional analysis. Meta‐analysis demonstrated consumption of ultraprocessed food was associated with increased risk of overweight (odds ratio: 1.36; 95% confidence interval [CI], 1.23‐1.51; P < 0.001), obesity (odds ratio: 1.51; 95% CI, 1.34‐1.70; P < 0.001), abdominal obesity (odds ratio: 1.49; 95% CI, 1.34‐1.66; P < 0.0001), all‐cause mortality (hazard ratio: 1.28; 95% CI, 1.11‐1.48; P = 0.001), metabolic syndrome (odds ratio: 1.81; 95% CI, 1.12‐2.93; P = 0.015) and depression in adults (hazard ratio: 1.22; 95% CI, 1.16‐1.28, P < 0.001) as well as wheezing (odds ratio: 1.40; 95% CI, 1.27‐1.55; P < 0.001) but not asthma in adolescents (odds ratio: 1.20; 95% CI, 0.99‐1.46; P = 0.065). In addition, consumption of ultraprocessed food was associated with cardiometabolic diseases, frailty, irritable bowel syndrome, functional dyspepsia and cancer (breast and overall) in adults while also being associated with metabolic syndrome in adolescents and dyslipidaemia in children. Although links between ultraprocessed food consumption and some intermediate risk factors in adults were also highlighted, further studies are required to more clearly define associations in children and adolescents. Study registration: Prospero ID: CRD42020176752.

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Crossref · 10.1111/obr.13146

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  • Pooled analysis of two cross-sectional studies provided limited evidence of an association between greater ultra-processed food exposure and risks of prevalent asthma (risk ratio 1.20, 95% confidence interval 0.99 to 1.46; credibility class V; GRADE very low).

    “Pooled analyses that included two cross sectional studies provided limited evidence of an association between greater exposure to ultra-processed foods and risks of prevalent asthma (risk ratio 1.20, 0.99 to 1.46; class V; very low)”
  • Pooled analysis of two cross-sectional studies provided limited evidence of an association between greater ultra-processed food exposure and risks of prevalent wheezing (risk ratio 1.40, 95% confidence interval 1.27 to 1.55; credibility class II; GRADE low).

    “and wheezing (risk ratio 1.40, 1.27 to 1.55; class II; low)”

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Research works printed but not linked: 94

  1. Monteiro CA, 2019, Ultra‐Processed Foods, Diet Quality, and Health Using the NOVA Classification System
  2. 10.1017/S1368980017000234 · DOI · Paper page
  3. 10.1590/S0102-311X2010001100005 · DOI · Paper page
  4. 10.3390/foods6110100 · DOI
  5. 10.3390/nu10030365 · DOI · Paper page
  6. 10.1038/s41387-018-0043-z · DOI
  7. Monteiro C, 2016, The star shines bright. Food classification public health, World Nutr, 7, 28
  8. 10.1016/j.foodhyd.2008.08.005 · DOI
  9. 10.1111/obr.12107 · DOI · Paper page
  10. 10.1017/S1368980017001379 · DOI
  11. 10.1186/s12992-016-0223-3 · DOI
  12. 10.1186/s12992-016-0161-0 · DOI
  13. Steele EM, 2016, Ultra‐processed foods and added sugars in the US diet: evidence from a nationally representative cross‐sectional study, BMJ Open, 6, 1
  14. 10.1016/j.jand.2019.04.020 · DOI
  15. 10.1007/s00394-018-1870-3 · DOI
  16. 10.21149/9038 · DOI
  17. 10.1136/bmjopen-2019-029544 · DOI
  18. 10.3390/nu9030209 · DOI · Paper page
  19. 10.1016/j.appet.2016.11.006 · DOI
  20. 10.1017/S1368980017001434 · DOI
  21. 10.5350/DAJPN20152801001 · DOI
  22. 10.1186/s12888-015-0394-0 · DOI · Paper page
  23. 10.1080/09637486.2020.1725961 · DOI
  24. 10.3390/nu12071955 · DOI
  25. 10.1371/journal.pmed.1000100 · DOI · Paper page
  26. MoolaSMZ TufanaruC AromatarisE et al.Chapter 7: systematic reviews of etiology and risk. The Joanna Briggs Institute 2017. [Available from:https://reviewersmanual.joannabriggs.org/
  27. 10.1016/j.ypmed.2019.05.004 · DOI
  28. 10.1111/pai.12911 · DOI
  29. 10.1186/s12966-015-0317-y · DOI
  30. 10.1017/S1368980018000861 · DOI
  31. 10.1016/j.numecd.2014.08.001 · DOI
  32. 10.1590/1516-3180.2018.0363070219 · DOI
  33. 10.1111/pai.13126 · DOI
  34. 10.1017/S1368980018003890 · DOI
  35. 10.1016/j.jped.2015.01.007 · DOI
  36. 10.1590/1984-0462/;2017;35;1;00001 · DOI
  37. Asma' A, 2020, Food classification system based on food processing and its relationship with nutritional status of adults in Terengganu, Malaysia, Food Res, 4, 539
  38. 10.1590/1413-81232018247.20242017 · DOI
  39. Srour B, 2019, Ultra‐processed food intake and risk of cardiovascular disease: prospective cohort study (NutriNet‐Santé), BMJ, 365, 1
  40. Gómez‐Donoso C, 2018, Ultra‐processed food consumption and the incidence of depression in a mediterranean cohort: the Seguimiento Universidad de Navarra project, Eur J Clin Invest, 48, 169
  41. 10.1038/s41395-018-0137-1 · DOI · Paper page
  42. 10.1017/S1368980017001367 · DOI · Paper page
  43. Vasseur P, 2020, Dietary patterns, ultra‐processed food, and the risk of inflammatory bowel diseases in the NutriNet‐Santé cohort, Inflamm Bowel Dis
  44. 10.1016/j.numecd.2018.11.003 · DOI
  45. 10.17269/s41997-018-0130-x · DOI
  46. De Deus Mendonça R, 2017, Ultra‐processed food consumption and the incidence of hypertension in a mediterranean cohort: the seguimiento universidad de Navarra project, Am J Hypertens, 30, 358, 10.1093/ajh/hpw137 · DOI · Paper page
  47. 10.1007/s00394-019-01970-1 · DOI
  48. Rico‐Campà A, 2019, Association between consumption of ultra‐processed foods and all‐cause mortality: SUN prospective cohort study, BMJ, 365, 1
  49. 10.3945/ajcn.116.135004 · DOI · Paper page
  50. 10.3390/nu12030637 · DOI
  51. 10.1093/gerona/glz140 · DOI · Paper page
  52. 10.1017/S1368980019002854 · DOI
  53. 10.1371/journal.pone.0232676 · DOI
  54. 10.1017/S136898001700115X · DOI
  55. 10.1017/S0007114518001046 · DOI · Paper page
  56. 10.1007/s10067-019-04916-4 · DOI
  57. 10.1186/s12889-017-4408-3 · DOI
  58. 10.1590/S0034-8910.2015049005572 · DOI
  59. 10.1016/j.appet.2016.05.027 · DOI
  60. De Melo ISV, 2017, Consumption of minimally processed food is inversely associated with excess weight in adolescents living in an underdeveloped city, PLoS ONE, 12, 1
  61. 10.1016/j.mayocp.2019.03.035 · DOI
  62. 10.1017/S1368980017002130 · DOI
  63. 10.15448/1980-6108.2018.2.28723 · DOI
  64. 10.3390/nu11081873 · DOI
  65. 10.3390/nu12051251 · DOI
  66. 10.1177/2040622319880392 · DOI · Paper page
  67. Klesges RC, 1987, Validation of the 24‐hour dietary recall in preschool children, J Am Diet Assoc, 87, 1383, 10.1016/S0002-8223(21)03328-9 · DOI
  68. 10.1007/s40273-014-0243-x · DOI
  69. 10.3945/an.115.008755 · DOI · Paper page
  70. 10.1093/ajcn/65.4.1220S · DOI
  71. 10.1007/s13679-017-0285-4 · DOI · Paper page
  72. 10.1136/bmjopen-2015-009892 · DOI · Paper page
  73. 10.1017/S1368980015002177 · DOI
  74. 10.2337/dc07-0320 · DOI
  75. 10.1093/aje/kwu257 · DOI · Paper page
  76. 10.1016/j.neubiorev.2014.12.017 · DOI
  77. 10.1093/advances/nmy044 · DOI
  78. 10.2147/DMSO.S33473 · DOI
  79. 10.1371/journal.pone.0178426 · DOI
  80. 10.1158/0008-5472.CAN-16-2929 · DOI
  81. 10.1007/978-1-4939-0897-4_14 · DOI
  82. Louzada ML, 2015, Impact of ultra‐processed foods on micronutrient content in the Brazilian diet, Rev Saude Publica, 49, 45
  83. 10.1016/j.envint.2018.04.047 · DOI
  84. 10.1161/JAHA.114.000934 · DOI
  85. 10.1080/01635581.2014.916323 · DOI
  86. 10.1016/S1470-2045(15)00444-1 · DOI
  87. Group IW, 2010, Carbon black, titanium dioxide, and talc, IARC Monogr Eval Carcinog Risks Hum, 93, 1
  88. 10.1017/S0007114520001981 · DOI
  89. 10.1016/j.freeradbiomed.2010.09.006 · DOI · Paper page
  90. 10.1186/s12940-015-0036-5 · DOI
  91. 10.1289/ehp.1104597 · DOI
  92. 10.1038/nrendo.2015.163 · DOI · Paper page
  93. BorensteinM HedgesLV HigginsJPT RothsteinHR.When does it make sense to perform a meta‐analysis?In: John Wiley & Sons L ed. Introduction to Meta‐Analysis.2009.
  94. 10.1017/S0029665118002513 · DOI

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Metadata

Authors
Lane, M. M., Davis, J. A., Beattie, S., Gómez‐Donoso, C., Loughman, A., O'Neil, A., Jacka, F., Berk, M., Page, R., Marx, W., & Rocks, T.
Affiliations
  • The Institute for Mental and Physical Health and Clinical Translation (IMPACT), Food and Mood Centre, School of Medicine, Barwon Health Deakin University Geelong Victoria Australia
  • The Barwon Centre of Orthopaedic Research and Education (B‐CORE) Barwon Health and St John of God Hospital Geelong Geelong Victoria Australia
  • Department of Preventive Medicine and Public Health, School of Medicine University of Navarra Pamplona Spain
Venue
Obesity Reviews
Publisher
Wiley
Published
2020-11-09
Volume
22
Issue
3
ISSN
  • 1467-7881
  • 1467-789X
Cited by
564
References
26
Language
en
Funders
  • PA Research Foundation
  • La Trobe University
  • Cancer Council Queensland
  • Multiple Sclerosis Research Australia
  • European GNSS Agency
  • Department of Health and Human Services, State Government of Victoria
  • Academy of Nutrition and Dietetics Foundation
  • University of Southern Queensland
  • Bond University
  • Oxford University Press
  • University of the Sunshine Coast
  • Beyond Blue
  • Simons Foundation Autism Research Initiative
  • Cooperative Research Centre for Living with Autism
  • Centro de Investigación Biomédica en Red-Fisiopatología de la Obesidad y Nutrición
  • Pfizer
  • Servier
  • Cilag
  • Ian Potter Foundation
  • Geelong Region Medical Research Foundation
  • Australian Rotary Health
  • Novartis
  • Woolworths Group
  • Meat and Livestock Australia
  • Sanofi
  • Australian Research Council
  • Wilson Foundation
  • National Heart Foundation of Australia ((#101160)
  • Fonds De La Recherche Scientifique - FNRS
  • Falk Foundation
  • Australian and New Zealand College of Anaesthetists
  • Epilepsy Society of Australia
  • American Epilepsy Society
  • University of Technology Sydney
  • Australian Centre for Microscopy and Microanalysis, University of Sydney
  • National Institutes of Health
  • Australian Academy of Science
  • National Health and Medical Research Council
  • Deakin University
  • RMIT University
  • University of Melbourne
  • University of New South Wales
  • Instituto de Salud Carlos III (FI18/00073)
  • Fernwood Foundation

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