Evidence map›Paper›PMID 39373941›Full record

ArticleActa diabetologica2025

Ultra-processed foods and type 2 diabetes mellitus incidence in RaNCD project: a prospective cohort study.

Parsa Amirian, Mahsa Zarpoosh, Farid Najafi, Ebrahim Shakiba, Bita Anvari, Yahya Pasdar

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Article in Acta diabetologica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

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4citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Parsa AmirianGeneral Practitioner, Kermanshah University of Medical Science (KUMS), Kermanshah, Iran.ORCID http://orcid.org/0000-0002-4574-5300
Mahsa ZarpooshGeneral Practitioner, Kermanshah University of Medical Science (KUMS), Kermanshah, Iran. zarpooshmahsa@gmail.com.ORCID http://orcid.org/0000-0002-8721-3767
Farid NajafiResearch Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Ebrahim ShakibaBehavioral Disease Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Bita AnvariInternal Medicine Department, School of Medicine, Imam Khomeini Hospital, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Yahya PasdarResearch Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFollowing rapid population growth and urbanization, global ultra-processed food consumption levels have increased. Additionally, type 2 diabetes mellitus, a non-communicable disease, is affecting one-tenth of the people worldwide. In this study, we aimed to investigate the association between ultra-processed food consumption and the risk of type 2 diabetes mellitus in different scenarios in a prospective cohort study in the western part of Iran.

methodsThe RaNCD cohort includes 10,047 participants aged 35 to 65; we included participants susceptible to diabetes at enrolment with follow-up data. We used the widely accepted Nova classification to define ultra-processed foods. A multivariable Cox proportional hazards regression model was used as the main model; furthermore, the Cox model with different adjustments and the logistic regression model were used as sensitive analysis to evaluate the association between ultra-processed foods consumption and type 2 diabetes mellitus.

resultsA total of 8827 participants with a mean age of 46.92y, a mean follow-up time of 7.1y, and a mean daily ultra-processed food intake of 87.69 g were included. During the follow-up phases, we included 255 incidences of type 2 diabetes mellitus cases. After adjusting for confounders in the primary model, including age, gender, residence type, socioeconomic status, physical activity, body mass index, and familial history of diabetes despite the elevated hazard ratio of 1.08 (0.75, 1.55) in the fourth quartile compared to the first quartile, the P-value was insignificant (p-value = 0.665); p for trend in the UPF quartiles was also insignificant.

conclusionOur study has shed light on the association between ultra-processed food consumption and the risk of type 2 diabetes mellitus. However, further investigations are necessary to confirm or refute the UPFs/T2DM association.

Indexed as

Diabetes Mellitus, Type 2Fast FoodsAdultAgedFemaleFood, ProcessedHumansIncidenceIranMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk Factors

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.