Evidence map›Paper›PMID 42425749›Full record

ReviewKorean journal of community nutrition2026

Life-course nutrition strategies for Korean middle-aged adults across biological transitions, nutritional burdens, and a community-linked precision nutrition model: a narrative review.

Yoo Kyoung Park

Abstract readReview
In one paragraph

Review in Korean journal of community nutrition, 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.

Yoo Kyoung ParkProfessor, Department of Medical Nutrition, AgeTech-Service Convergence Major, Kyung Hee University, Yongin, Korea. ypark@khu.ac.kr.

Funding

Ministry of Education 5120200313836National Research Foundation of Korea
6 · The paper itself

Abstract

objectivesTo describe the nutritional challenges faced by Korean middle-aged adults (40-64 years) from a life-course and biological transition perspective and to propose systems-based precision nutrition strategies for this critical stage of the lifespan.

methodsIn this narrative review, PubMed, Medline, and Web of Science were searched for articles published between January 2010 and November 2025 using terms such as "middle aged nutrition," "healthy aging," "life course nutrition," "sarcopenia," "precision nutrition," and "chronic diseases." Policy documents and major national cohort and intervention studies were also reviewed.

resultsMiddle-aged adults in Korea have a high prevalence of chronic disease beginning in their 40s, showing "the triple burden of malnutrition:" obesity, insufficient micronutrients, and sarcopenia onset, along with excessive sodium and sugar consumption combined with socioeconomic factors like living alone. Nutrient and dietary approaches, such as high protein (1.2-1.5 g/kg/d), leucine, dairy products and fruits, anti-inflammatory foods intake, Dietary Approaches to Stop Hypertension (DASH) or Mediterranean diets plus lifestyle modification at public health centers (Korean Diabetes Prevention Study) for cardiometabolic risks, Mediterranean-DASH Intervention for Neurodegenerative Delay diet for cognition maintenance, could greatly impact health trajectories.

conclusionKorean middle-aged adults experience a triple burden of malnutrition on top of nonlinear biological aging shifts, which together accelerate cardiometabolic, musculoskeletal, and cognitive risks. Implementing targeted dietary strategies within a systems-based, community-linked precision nutrition model is essential to reshape health trajectories and promote healthy longevity in this population.

Indexed as

healthy agingmiddle agedsarcopenia

Identifiers

PMID42425749
PMCPMC13471142

What OpenQuestion 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 OpenQuestion graph.