Clinical trial · Observational
Nut Consumption and Prevention of Non-communicable Diseases: A Global Individual Participant Data Meta-analysis
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
The relationship between nut consumption and the risk of developing non-communicable diseases (NCDs) has been a subject of growing interest. However, the findings from previous studies have been conflicting for some health outcomes, such as type-2 diabetes, and have been underexplored for other outcomes, such as neurodegenerative diseases. One contributing factor to these inconsistencies lies in the different analytical approaches and confounding factors used across studies. Furthermore, the majority of previous studies have primarily focused on populations in Europe or the United States, potentially limiting the generalizability of the findings to other global regions. The NUTPOOL project aims to address these gaps by conducting an extensive individual participant data (IPD) meta-analysis. This study will evaluate the association between total and specific types of nut consumption and the future risk of NCDs.
Conditions
Conditions (8)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Cancer | Malignant Neoplasm | ALIAS | 0.90 |
| Cardio Vascular Disease | — | UNRESOLVED | — |
| Death | — | UNRESOLVED | — |
| Dementia | — | UNRESOLVED | — |
| Dementia Alzheimer Type | — | UNRESOLVED | — |
| Diabetes (DM) | — | UNRESOLVED | — |
| Mortality | — | UNRESOLVED | — |
| Parkinson Disease (PD) | — | UNRESOLVED | — |
Interventions
Interventions (0)
Data not yet available
Design
Arms and outcomes
Arms (1)
- label
- The proposed aims will be evaluated using data from prospective cohort studies from around the world
- description
- Prospective studies will be eligible if they have good quality nutrition data from a food frequency questionnaire (FFQ) about total nuts and/or specific nuts, and well-ascertained data of at least two of the health outcomes (T2D, CVD, cancer, or dementia), more than 1,000 adult participants, and accrued five years or more of median follow-up that allows time-dependent analyses. We expect 25-30 cohorts to be included in the final analysis.
Primary outcomes (8)
- measure
- Type-2 diabetes incidence
- timeFrame
- Minimum of five years of median follow-up
- description
- Medical diagnosis, self-reported or medication check
- measure
- CVD incidence
- timeFrame
- Minimum of five years of median follow-up
- description
- Medical diagnosis, self-reported or medication check
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: Prospective studies with: * Dietary data (consumption of nuts, both overall and/or by type) from semiquantitative food frequency questionnaires * Available data on at least two of the health outcomes of interest * More than 1,000 adult participants (aged 18 and over) * A minimum of five years of median follow-up Exclusion Criteria: * Prospective studies determining the consumption of nuts in combination with other food groups (e.g., seeds) or with other nut forms (e.g., butter or oil) * Participants with: * Missing data on age, sex, and nut consumption. * Extreme energy intakes (\<600 or \>3,500 kcal for women and \<800 or \>4,200 kcal for men) * The disease of interest at baseline
References
Publications (0)
Data not yet available