Novel pooling method for nonlinear cohort analysis and meta-analysis estimates: Predicting health outcomes from dietary changes

Our flexible meta-analysis method allowed the pooling of nonlinear estimates reported in the literature without detailed technical information. Our estimates support the hypothesis that more plant-based diets reduce mortality and IHD prevalence. The most beneficial scenarios included reductions in red and processed meat and increments in whole grain consumption.

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Publication Details

Journal
Epidemiology
Published
2026-01-05
DOI
https://doi.org/10.1097/ede.0000000000001932
Primary Topic
Nutritional Studies and Diet
Type
article
Field-Weighted Citation Impact
0.00
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article

Novel pooling method for nonlinear cohort analysis and meta-analysis estimates: Predicting health outcomes from dietary changes

Niina E. Kaartinen, S. Männistö, Laura Sares-Jäske, Heli Tapanainen et al.
Epidemiology
Nutritional Studies and Diet
article

Novel pooling method for nonlinear cohort analysis and meta-analysis estimates: Predicting health outcomes from dietary changes

Niina E. Kaartinen, S. Männistö, Laura Sares-Jäske, Heli Tapanainen, Laura Paalanen
article en

Abstract

Our flexible meta-analysis method allowed the pooling of nonlinear estimates reported in the literature without detailed technical information. Our estimates support the hypothesis that more plant-based diets reduce mortality and IHD prevalence. The most beneficial scenarios included reductions in red and processed meat and increments in whole grain consumption.

EpidemiologyVol. 37(2)
Finnish Institute for Health and Welfare (FI)
Openalex Percentile: Top 94%
Nutritional Studies and Diet
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