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Record W4416324712 · doi:10.1093/nutrit/nuaf224

Foods and Dietary Intakes and the Risk of Parkinson’s Disease: A Systematic Review and Dose–Response Meta-analysis of Prospective Cohort Studies

2025· article· en· W4416324712 on OpenAlexaboutno aff
Masoumeh Akhlaghi, Sahar Foshati, Faezeh Hashemi Moghaddam, Mohammad Reza Sasani, Asma Kazemi

Bibliographic record

VenueNutrition Reviews · 2025
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsProspective cohort studyCohort studyCohortRisk factorMEDLINEEpidemiology

Abstract

fetched live from OpenAlex

CONTEXT: Evidence suggests a link between diet and Parkinson's disease (PD). OBJECTIVE: We conducted a dose-response meta-analysis of prospective cohort studies to examine the association of food-group intakes and dietary patterns with PD incidence. DATA SOURCES: After searching PubMed, Scopus, and Web of Science, 29 cohort studies with 1 307 337 participants met the eligibility criteria. DATA EXTRACTION: Quantitative exposure levels and the most adjusted risk estimates and 95% CIs were extracted. DATA ANALYSIS: Linear and nonlinear dose-response analyses and highest vs lowest intake comparisons were conducted using STATA and RevMan. Risk of bias was assessed by the Newcastle-Ottawa quality-assessment tool. RESULTS: Dairy, low-fat dairy, milk, and cheese indicated a positive dose-response association with PD risk. High consumption of dairy, low-fat dairy, and milk demonstrated 26% (odd ratio [OR], 1.26; 95% CI, 1.12-1.41), 30% (OR, 1.30; 95% CI, 1.06-1.58), and 23% (OR, 1.23; 95% CI, 1.07-1.43) increased PD risk compared with the lowest intake categories, respectively. Linear dose-response analysis showed a 5%-7% increased risk for every 100-g/day dairy and low-fat dairy intake, 4% increased risk per 10-g cheese/day, and 13% increased risk per 1 cup milk/day. Sex-based subgroup analysis revealed stronger associations in men for dairy and, to a lesser extent, for low-fat dairy, milk, yogurt, and cheese. Legumes/nuts were the only group that showed a reduced PD risk (OR, 0.71; 95% CI, 0.62-0.81). Both healthy and unhealthy dietary patterns showed dose-response associations with PD risk. Also, in the highest vs lowest comparison, adherence to healthy diets was associated with a 37% reduction in PD risk (OR, 0.63; 95% CI, 0.54-0.74), while adherence to unhealthy diets was linked to a 40% increased PD risk (OR, 1.40; 95% CI, 1.07-1.83). CONCLUSION: These findings underscore the importance of diet in the prevention or development of PD. While adherence to healthy diets was associated with reduced PD risk, dairy consumption, despite being part of healthy diets, was linked to increased risk, highlighting the need for more nuanced dietary guidance. SYSTEMATIC REVIEW REGISTRATION: PROSPERO no. CRD420251026654.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.610
Threshold uncertainty score0.398

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.054
GPT teacher head0.349
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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