Evidence map›Paper›PMID 38931259›Full record

ArticleNutrients2024

Meals in Shelters during Noto Peninsula Earthquakes Are Deficient in Energy and Protein for Older Adults Vulnerable to the Disaster: Challenges and Responses.

Takamitsu Sakamoto, Kyoka Asano, Hiroyo Miyata, Teruyoshi Amagai

Abstract read
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Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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4 · The record

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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.

Takamitsu SakamotoDepartment of General Medicine, Fukuoka Tokushukai General Hospital, Fukuoka 816-0864, Japan.ORCID 0000-0002-0958-9873
Kyoka AsanoTokunoshima Tokushukai General Hospital, Kagoshima 891-7101, Japan.
Hiroyo MiyataDepartment of Clinical Nutrition, Kindai University Hospital, Osaka 589-8511, Japan.ORCID 0000-0003-2467-1522
Teruyoshi AmagaiDepartment of Clinical Engineering, Faculty of Health Care Sciences, Jikei University of Health Care Sciences, Osaka 532-0003, Japan.ORCID 0000-0001-8837-5680

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundJapan is a country often subject to natural disasters, influenced by a rapidly increasing aging demographic. The current research aims to analyze the food distribution for elderly evacuees who were relocated to a care facility in Wajima City, administered by the non-profit organization Tokushukai Medical Assistant Team (TMAT), post the Noto Peninsula Earthquake on 1 January 2024. A significant portion of the shelter's inhabitants were elderly individuals.

methodsTMAT's operations began immediately after the calamity, concentrating on evaluating the nutritional content of meals provided during the initial and subsequent phases, along with a thorough nutritional assessment. During this process, researchers examined the meal conditions for evacuees, including the elderly and those with disabilities, observed the actual meal distribution at welfare centers, and discussed the challenges and potential solutions.

resultThroughout the TMAT mission, a total of 700 evacuees received assistance, with 65% being 65 years old or above. An analysis of the nutritional content of the 10 meal varieties served at the shelter revealed inadequate energy and protein levels for elderly individuals, particularly men, indicating the need for future enhancements.

conclusionsFollowing a detailed evaluation of TMAT's response to the Noto Peninsula earthquake, it was determined that the food provided in the shelters in the affected areas did not meet the nutritional needs of elderly individuals, especially men, based on nutritional analysis. To stress the importance of establishing an effective framework, it is recommended to promptly revise the emergency food provisions for the elderly population, considering they constitute the majority of the affected individuals.

Indexed as

Dietary ProteinsEarthquakesMealsAgedAged, 80 and overDisastersEmergency ShelterEnergy IntakeFemaleFood ServicesHumansJapanMaleMiddle AgedNutritional StatusNutrition AssessmentDietary Proteinsaging societydisasterdisaster nutritionTMATwelfare shelter

Identifiers

PMID38931259
PMCPMC11207093

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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.