Evidence map›Paper›PMID 41841068›Full record

ReviewCureus2026

Nutrition as a Cultural-Biological Regulator of Ageing: The Concept of Ethnonutrigerontology.

Aleksandr Martynenko

Abstract readReview
In one paragraph

Review in Cureus, 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

1 author.

Aleksandr MartynenkoDepartment of Internal Medicine, LLC "Multifunctional Medical Center" M-Clinic, Tashkent, UZB.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nutrition is one of the most modifiable determinants of ageing and longevity. However, most contemporary studies in nutrigerontology focus on universal biological mechanisms and often overlook cultural variations in dietary behavior. The aim of this conceptual review is to propose and theoretically substantiate Ethnonutrigerontology (ENuG), a newly coined interdisciplinary framework that conceptualizes nutrition as a cultural-biological regulator of ageing by linking culturally patterned dietary models to biological ageing mechanisms and later-life functional resilience. Unlike broader biocultural ageing frameworks, ENuG explicitly positions nutrition as the primary mediating mechanism connecting cultural systems to ageing biology. A conceptual synthesis of 60 peer-reviewed publications (1999-2025) was conducted using literature retrieved from PubMed, Scopus, and Web of Science. This study was designed as a theory-building conceptual synthesis rather than a systematic review or meta-analysis. Sources addressing the interrelation between nutrition, culture, and ageing were thematically analysed to identify structural gaps between biomedical and anthropological approaches. ENuG integrates three analytical levels - cultural-anthropological, biomedical, and gerontological - and formulates the causal sequence "Culture → Nutrition → Biology → Ageing → Functional resilience" as a heuristic model. Traditional diets, such as those of Okinawa, the Caucasus, and the Andean regions, have been associated in the literature with characteristics consistent with geronto-adaptive patterns, including metabolic balance, lower inflammatory burden, and favorable longevity indicators within their ecological and cultural contexts. As a proposal framework, ENuG is intended to generate testable hypotheses and guide future mixed-method empirical research rather than to provide causal proof.

Indexed as

cultural dietsesthetic longevityethno-medicinal wisdomfood and nutritionhealth aginglongevity medicinetraditional foods

Identifiers

PMID41841068
PMCPMC12988858

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.