Evidence map›Paper›PMID 41267914›Full record

ArticleClinical nutrition research2025

Meal Patterns and Protein Food Utilization in Public and Private Geriatric Long-term Care Hospitals.

Ga-Eun Choi, Hye-Yeon Lee, Mi-Hyun Kim

Abstract read
In one paragraph

Article in Clinical nutrition research, 2025. 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

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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Ga-Eun ChoiDepartment of Food and Nutrition, Kongju National University, Yesan 32439, Korea.ORCID https://orcid.org/0009-0002-5701-4182
Hye-Yeon LeeMajor in Nutrition Education, Graduate School of Education, Kongju National University, Yesan 32439, Korea.ORCID https://orcid.org/0009-0009-7863-9086
Mi-Hyun KimDepartment of Food and Nutrition, Kongju National University, Yesan 32439, Korea.ORCID https://orcid.org/0000-0002-0805-0630

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined meal patterns and protein-rich food utilization in the foodservice practices of public and private geriatric long-term care hospitals in South Korea. Over a period of 6 months, a total of 612 daily menus (306 from each hospital type, breakfast, lunch, and dinner) were collected from four hospitals (two public, two private). Each menu was categorized by meal composition, included staple food, soup, main dish, side dishes, and kimchi. The most common meal pattern consisted of a staple food, soup, main dish, two side dishes, and kimchi. Compared with private hospitals, public hospitals offered a greater variety in meal composition, staple foods, soups, and main dishes. However, no significant differences were observed in protein foods of main dishes. Overall, meat accounted for about half, whereas fish accounted for one-third. Approximately 30% of protein foods in main dishes were processed. In side dish 1, the proportion of protein-rich foods was lower in public than in private hospitals, whereas the proportion of processed foods exceeded two-thirds in both hospital, but was significantly higher in public hospitals. Soup was the second most important protein source after the main dish, with fish as the most often used; however, processed protein foods were also common. These findings indicate that the main dish and soup are the principal protein sources, and the relatively high inclusion of fish reflects a favorable pattern. However, to ensure intake of high-quality proteins by older adults, the high reliance on processed protein foods highlights the need to reconsider foodservice practices.

Indexed as

Dietary proteinsFood serviceGeriatric health careLong-term care

Identifiers

PMID41267914
PMCPMC12629413

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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.