Higher consumption of ultra-processed foods and increased likelihood of central nervous system demyelination in a case-control study of Australian adults.


Journal

European journal of clinical nutrition
ISSN: 1476-5640
Titre abrégé: Eur J Clin Nutr
Pays: England
ID NLM: 8804070

Informations de publication

Date de publication:
05 2023
Historique:
received: 06 05 2022
accepted: 24 01 2023
revised: 19 01 2023
medline: 11 5 2023
pubmed: 9 2 2023
entrez: 8 2 2023
Statut: ppublish

Résumé

Consumption of ultra-processed foods (UPFs) has been linked to risk of chronic diseases, with scant evidence in relation to multiple sclerosis (MS). We tested associations between UPF consumption and likelihood of a first clinical diagnosis of central nervous system demyelination (FCD) (267 cases, 508 controls), a common precursor to MS. We used data from the 2003-2006 Ausimmune Study and logistic regression with full propensity score matching for age, sex, region of residence, education, smoking history, body mass index, physical activity, history of infectious mononucleosis, dietary misreporting, and total energy intake. Higher UPF consumption was statistically significantly associated with an increased likelihood of FCD (adjusted odds ratio = 1.08; 95% confidence interval = 1.0,1.15; p = 0.039), representing an 8% increase in likelihood of FCD per one energy-adjusted serving/day of UPFs. Higher intakes of UPF were associated with increased likelihood of FCD in this Australian cohort. Nutrition education and awareness of healthy eating patterns may benefit those at high risk of FCD.

Sections du résumé

BACKGROUND
Consumption of ultra-processed foods (UPFs) has been linked to risk of chronic diseases, with scant evidence in relation to multiple sclerosis (MS).
METHODS
We tested associations between UPF consumption and likelihood of a first clinical diagnosis of central nervous system demyelination (FCD) (267 cases, 508 controls), a common precursor to MS. We used data from the 2003-2006 Ausimmune Study and logistic regression with full propensity score matching for age, sex, region of residence, education, smoking history, body mass index, physical activity, history of infectious mononucleosis, dietary misreporting, and total energy intake.
RESULTS
Higher UPF consumption was statistically significantly associated with an increased likelihood of FCD (adjusted odds ratio = 1.08; 95% confidence interval = 1.0,1.15; p = 0.039), representing an 8% increase in likelihood of FCD per one energy-adjusted serving/day of UPFs.
CONCLUSION
Higher intakes of UPF were associated with increased likelihood of FCD in this Australian cohort. Nutrition education and awareness of healthy eating patterns may benefit those at high risk of FCD.

Identifiants

pubmed: 36754977
doi: 10.1038/s41430-023-01271-1
pii: 10.1038/s41430-023-01271-1
pmc: PMC10169648
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

611-614

Investigateurs

Caron Chapman (C)
Alan Coulthard (A)
Keith Dear (K)
Terry Dwyer (T)
Trevor Kilpatrick (T)
Robyn Lucas (R)
Tony McMichael (T)
Anne-Louise Ponsonby (AL)
Bruce Taylor (B)
Patricia Valery (P)
Ingrid A F van der Mei (IAF)
David Williams (D)

Informations de copyright

© 2023. The Author(s).

Références

Monteiro CA, Cannon G, Levy RB, Moubarac JC, Louzada ML, Rauber F, et al. Ultra-processed foods: what they are and how to identify them. Public Health Nutr. 2019;22:936–41. https://doi.org/10.1017/s1368980018003762.
doi: 10.1017/s1368980018003762. pubmed: 30744710
Pagliai G, Dinu M, Madarena MP, Bonaccio M, Iacoviello L, Sofi F. Consumption of ultra-processed foods and health status: a systematic review and meta-analysis. Br J Nutr. 2021;125:308–18. https://doi.org/10.1017/S0007114520002688.
doi: 10.1017/S0007114520002688. pubmed: 32792031
Black LJ, Rowley C, Sherriff J, Pereira G, Ponsonby A-L, Ausimmune Investigator Group, et al. A healthy dietary pattern associates with a lower risk of a first clinical diagnosis of central nervous system demyelination. Mult Scler. 2019;25:1514–25. https://doi.org/10.1177/1352458518793524.
doi: 10.1177/1352458518793524. pubmed: 30084751
Lucas RM, Ponsonby AL, McMichael A, van Der Mei I, Chapman C, Coulthard A, et al. Observational analytic studies in multiple sclerosis: controlling bias through study design and conduct. The Australian multicentre study of environment and immune function. Mult Scler. 2007;13:827–39. https://doi.org/10.1177/1352458507077174.
doi: 10.1177/1352458507077174. pubmed: 17881396
Ambrosini GL, Van Roosbroeck SAH, Mackerras D, Fritschi L, De Klerk NH, Musk AW. Reliability of ten-year dietary recall: implications for cancer research. J Nutr. 2003;133:2663–8. https://doi.org/10.1093/jn/133.8.2663.
doi: 10.1093/jn/133.8.2663. pubmed: 12888655
Black AE. The sensitivity and specificity of the Goldberg cut-off for EI:BMR for identifying diet reports of poor validity. Eur J Clin Nutr. 2000;54:395–404. https://doi.org/10.1038/sj.ejcn.1600971.
doi: 10.1038/sj.ejcn.1600971. pubmed: 10822286
Austin PC, Stuart EA. Estimating the effect of treatment on binary outcomes using full matching on the propensity score. Stat Methods Med Res. 2017;26:2505–25. https://doi.org/10.1177/0962280215601134.
doi: 10.1177/0962280215601134. pubmed: 26329750
Grech AL, Rangan A, Allman-Farinelli M. Dietary energy density in the australian adult population from national nutrition surveys 1995 to 2012. J Acad Nutr Diet 2017;117:1887–99.e2. https://doi.org/10.1016/j.jand.2017.08.121.
doi: 10.1016/j.jand.2017.08.121. pubmed: 29173347
Machado PP, Steele EM, Levy RB, Sui Z, Rangan A, Woods J, et al. Ultra-processed foods and recommended intake levels of nutrients linked to non-communicable diseases in Australia: evidence from a nationally representative cross-sectional study. BMJ open. 2019;9:e029544. https://doi.org/10.1136/bmjopen-2019-029544.
doi: 10.1136/bmjopen-2019-029544. pubmed: 31462476 pmcid: 6720475
Martínez Leo EE, Segura Campos MR. Effect of ultra-processed diet on gut microbiota and thus its role in neurodegenerative diseases. Nutrition. 2020;71:110609. https://doi.org/10.1016/j.nut.2019.110609.
doi: 10.1016/j.nut.2019.110609. pubmed: 31837645
Buckley JP, Kim H, Wong E, Rebholz CM. Ultra-processed food consumption and exposure to phthalates and bisphenols in the US National Health and Nutrition Examination Survey, 2013-2014. Environ Int. 2019;131:105057. https://doi.org/10.1016/j.envint.2019.105057.
doi: 10.1016/j.envint.2019.105057. pubmed: 31398592 pmcid: 6728187

Auteurs

Adriana Mannino (A)

Curtin School of Population Health, Curtin University, Perth, Western Australia, Australia.

Alison Daly (A)

Curtin School of Population Health, Curtin University, Perth, Western Australia, Australia.

Eleanor Dunlop (E)

Curtin School of Population Health, Curtin University, Perth, Western Australia, Australia.

Yasmine Probst (Y)

Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, New South Wales, Australia.
Illawarra Health and Medical Research Institute, Wollongong, New South Wales, Australia.

Anne-Louise Ponsonby (AL)

Murdoch Childrens Research Institute, Royal Children's Hospital, Melbourne, Victoria, Australia.
Department of Neuroepidemiology, The Florey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia.

Ingrid A F van der Mei (IAF)

Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.

Lucinda J Black (LJ)

Curtin School of Population Health, Curtin University, Perth, Western Australia, Australia. lucinda.black@curtin.edu.au.
Curtin Health Innovation Research Institute, Curtin University, Perth, Western Australia, Australia. lucinda.black@curtin.edu.au.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH