ReviewNutrients2026
Precision Nutrition and Health Outcomes Across the Lifespan.
Review in Nutrients, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Precision nutrition is an emerging paradigm that seeks to tailor dietary recommendations and interventions based on individual and population characteristics. Although advances in multi-omics, wearable sensors, and artificial intelligence/machine learning (AI/ML) have accelerated discovery, translation into practice remains limited by fragmented evidence across life stages and insufficient integration of knowledge regarding systems biology and other influences on health. Nutritional needs, vulnerabilities, intervention opportunities, and response heterogeneity evolve dynamically from preconception and pregnancy through infancy, childhood, adolescence, adulthood, and older age. These life stage-specific processes intersect with (epi)genetic, metabolic and microbiome factors, as well as social, psychological, behavioral, and environmental/geographic influences, contributing to heterogeneity in health outcomes. Addressing this complexity requires not only multimodal predictive models but also frameworks that integrate data standards and harmonization, systems biology, implementation science, and community engagement. To provide a structured approach to this complexity, we developed a seven-pillar Precision Nutrition Framework encompassing prevention for all, data sources, quantitative sciences, qualitative sciences, intervention implementation, communities, and education and workforce training. Using this framework and a lifespan perspective, we examine opportunities for promoting cardiovascular, pulmonary, hematologic, and circadian/sleep health, synthesize evidence on key nutrients, dietary patterns, and emerging biomarkers, and adapt and expand the "precision nutrition plate" for implementation research in clinical and community settings. We highlight critical research gaps, including the need for phenotype-guided trials, standardized data integration, and scalable implementation strategies. By integrating biological, behavioral, and broader environmental dimensions across the life course, precision nutrition can advance more effective, accessible, and sustainable approaches for disease prevention and health promotion.
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Registered trials
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.