Evidence mapPaperPMID 41599827Full record

ReviewNutrients2026

Integrating Sensory Perception and Wearable Monitoring to Promote Healthy Aging: A New Frontier in Nutritional Personalization.

Alessandro Tonacci, Francesca Gorini, Francesco Sansone, Francesca Venturi

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Alessandro TonacciInstitute of Clinical Physiology, National Research Council, 56124 Pisa, Italy.ORCID 0000-0001-8335-5541
Francesca GoriniInstitute of Clinical Physiology, National Research Council, 56124 Pisa, Italy.ORCID 0000-0002-4619-6227
Francesco SansoneInstitute of Clinical Physiology, National Research Council, 56124 Pisa, Italy.ORCID 0000-0001-8642-9630
Francesca VenturiDepartment of Agriculture, Food and Environment, University of Pisa, 56124 Pisa, Italy.ORCID 0000-0002-7844-3253

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aging involves progressive changes in sensory perception, appetite regulation, and metabolic flexibility, which together affect dietary intake, nutrient adequacy, and health-related outcomes. Meanwhile, current wearable technologies allow continuous, minimally invasive monitoring of physiological and behavioral markers relevant to metabolic health, such as physical activity, sleep, heart rate variability, glycemic patterns, and so forth. However, digital nutrition approaches have largely focused on physiological signals while underutilizing the sensory dimensions of eating-taste, smell, texture, and hedonic response-that strongly drive dietary intake and adherence. This narrative review synthesizes evidence on the following: (1) age-related sensory changes and their nutritional consequences, (2) metabolic adaptation and markers of resilience in older adults, and (3) current and emerging wearable technologies applicable to nutritional personalization. Following this, we propose an integrative framework linking subjective (implicit) sensory perception and objective (explicit) wearable-derived physiological responses into adaptive feedback loops to support personalized dietary strategies for healthy aging. In this light, we discuss practical applications, technological and methodological challenges, ethical considerations, and research priorities to validate and implement sensory-physiological integrated models. Merging together sensory science and wearable monitoring has the potential to enhance adherence, preserve nutritional status, and bolster metabolic resilience in aging populations, moving nutrition from one-size-fits-all prescriptions toward dynamic, person-centered, sensory-aware interventions.

Indexed as

Healthy AgingPerceptionPrecision MedicineSensationWearable Electronic DevicesAgedAgingDigital HealthHumansMonitoring, PhysiologicNutritional Statusdigital phenotypinghealthy agingmetabolic adaptationnutritional adherencepersonalized nutritionsensory declinesensory perceptionwearable technologies

Identifiers

PMID41599827
PMCPMC12845100

What Socratic holds

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Registered trials

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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 Socratic graph.