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Record W4230549518 · doi:10.31372/20200501.1089

Effects of Dining-focused Life Enhancement Program in Welfare Facilities for Seniors in Japan

2020· article· en· W4230549518 on OpenAlexvenueno aff
Reiko Sakashita, Hiroshi Ono, Takuichi Sato, Miho Takami, Woesook Kim, Eiko Nakanishi, Hiroyuki Kusumoto, Masayo Hamasaki, Misao Hamada

Bibliographic record

VenueAsian/Pacific Island Nursing Journal · 2020
Typearticle
Languageen
FieldHealth Professions
TopicDysphagia Assessment and Management
Canadian institutionsnot available
FundersJapan Society for the Promotion of Science
KeywordsVitalityMedicineGerontologyWelfareAppetiteIntervention (counseling)Physical therapyEnvironmental healthNursingInternal medicine

Abstract

fetched live from OpenAlex

This study evaluated the effectiveness of a life-enhancement program designed to focus on dining conditions in welfare facilities for seniors living in Japan. Effectiveness was specifically evaluated based on whether improvements were achieved in (1) nutritional status, (2) oral health, (3) frequency of fever, and (4) vitality of appetite across three sites. As part of a comprehensive-care initiative that began with dining support, the program consisted of two main components: (1) a 3-month intensive program comprised of (a) collective experiential learning for residents and staff (including nutritionists, nurses, and physiotherapists) and (b) a tailor-made individual program for residents followed by (2) a 3-month continuation program. Participants included 168 individuals (31 males and 137 females) from a total of three facilities (average age was 85.9 [60–104] years). Results showed that the intensive program significantly improved nutritional status (e.g., BMI, caloric intake, and water intake; P < 0.000–0.005) and tongue movement (P < 0.000) while significantly reducing dental-plaque and tongue-coating indices (P < 0.000). Significant improvements were also achieved for degree of appetite and vitality indices (P < 0.000–0.001). However, incidences of fever were not reduced. These findings indicate that the program effectively improved nutritional status, oral health, vitality, and appetite. However, these effects did not sufficiently remain once the program was finished, thus suggesting the need for a continuous intervention.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.511
Threshold uncertainty score0.785

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.358
Teacher spread0.331 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2020
Admission routes1
Has abstractyes

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