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Record W754962789

Evaluation of nutrition risk in older independent living adults within the Waitemata and North Shore community : a thesis presented in partial fulfilment of the requirements for the degree of Masters of Science in Nutrition and Dietetics at Massey University, Albany, New Zealand

2014· dissertation· en· W754962789 on OpenAlex
Emily Margaret Fraser

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMassey Research Online (Massey University) · 2014
Typedissertation
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsnot available
Fundersnot available
KeywordsDegree (music)ShoreGeographyGerontologyOceanographyMedicinePhysicsGeology
DOInot available

Abstract

fetched live from OpenAlex

Background: Research on the prevalence of nutrition risk in community living adults in
\nNew Zealand is limited. With the rise in the proportion of older adults in New Zealand,
\nthe assessment of nutrition status of older adults will help to determine those at
\nnutrition risk
\nAim: The aim of this study was to determine the prevalence of nutrition risk amongst
\nindependent living older adults residing in the Waitemata district health board (DHB)
\nregion of New Zealand. The objectives of this study were to determine nutrition risk
\nusing the Mini Nutritional Assessment – Short Form (MNA-SF) Tool and to identify any
\ndemographic, social or health factors associated with nutrition risk among older
\ncommunity living adults.
\nMethods: A cross-sectional study of 57 older adults was undertaken. Nutrition risk was
\nassessed using a validated questionnaire, the MNA-SF. Dysphagia risk was
\ndetermined using the Eating Assessment Tool (EAT-10) and cognitive function was
\nassessed using the Montreal Cognitive Assessment (MoCA). Information on
\ndemographic and social information, health status and use of support services was
\nalso collected in one-off interviews.
\nResults: Ninety three percent (n=53) of participants had normal nutrition status (MNASF
\nscore ≥12). Seven percent of participants (n=4) were found to be at-risk of
\nmalnutrition (MNA-SF score ≤11; out of maximum score 14). The majority of
\nparticipants with normal nutrition status were New Zealand European (58%), living with
\nothers (77%), were married (60%), were taking less than five medications (74%), had
\nlower numbers of co-morbidities (70%) and were dentate (42%). Compared to those
\nwho were at risk, all participants were women (n=4), three were Maori and Pacific
\nethnicity, three took ≥5 medications and three required support services or daily help.
\nNo participants were found to be at-risk of dysphagia in the study.
\nConclusion: This study found a low prevalence of nutrition risk in a sample of healthy
\ncommunity-dwelling older adults. Our results contribute to the body of evidence that
\nnutrition screening is important to identify those at nutrition risk. Early identification of
\nnutrition risk can help to prevent nutritional problems in older adults and to help adults
\nto remain active and healthy within the community.

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.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
Threshold uncertainty score0.902

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.200
GPT teacher head0.391
Teacher spread0.191 · 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