Evidence map›Paper›PMID 42136403›Full record

ArticleClinical nutrition research2026

Toward a longevity diet framework: integrating global evidence for healthy aging in the South Korean population.

Soyoung Jung, Hae Jin Kang, Mijoo Choi, Yoo Kyoung Park

Abstract read
In one paragraph

Article in Clinical nutrition research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

1 citing paper in PubMed.

  1. Review
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.

Soyoung JungDepartment of Medical Nutrition, AgeTech-Service Convergence Major, Kyung Hee University, Yongin, Korea.
Hae Jin KangDepartment of Medical Nutrition, AgeTech-Service Convergence Major, Kyung Hee University, Yongin, Korea.
Mijoo ChoiDepartment of Food and Nutrition, Kyungnam University, Masan, Korea.
Yoo Kyoung ParkDepartment of Medical Nutrition, AgeTech-Service Convergence Major, Kyung Hee University, Yongin, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAs global life expectancy rises, the focus has shifted from longevity alone to healthy aging. Although dietary models such as the Mediterranean, Dietary Approaches to Stop Hypertension (DASH), Mediterranean-DASH Intervention for Neurodegenerative Delay, and EAT-Lancet diets show benefits for specific health outcomes, their direct application to South Korean populations is limited by differences in dietary patterns and cultural practices. This study aimed to develop nutritional criteria for a South Korean-adapted longevity diet framework.

methodsA multiphase development approach was used, including a narrative review of major dietary models and clinical nutrition guidelines to identify key components of a longevity diet. Macronutrient distribution, food group intake, and nutrient-specific recommendations were synthesized into a structured framework. The EAT-Lancet reference diet was adjusted from 2,400 to 2,000 kcal/ day to reflect energy requirements of South Korean adults.

resultsThe proposed framework comprises six domain-specific recommendations, including macronutrient targets of 50%-65% carbohydrates, 10%-20% protein, and 15%-30% fat, with a 1:1 animal to plant protein ratio. Food group recommendations were tailored to South Korean dietary patterns. The framework addresses weight management, glycemic control, cardiovascular health, cognitive function, muscle function, and skin health. It emphasizes whole grains, dietary fiber, plant-based proteins, and unsaturated fats, while limiting refined carbohydrates, added sugars, and saturated fats.

conclusionThis study presents evidence-based nutritional criteria for a South Korean-adapted longevity diet framework that integrates disease prevention with functional health support to promote healthy aging.

Indexed as

Chronic diseaseDietary patternsHealthy agingKorean dietLongevity

Identifiers

PMID42136403
PMCPMC13176660

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LicenceCC BY-NC
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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.