An investigation of nutrition risk among hospitalised adults of advanced age admitted to the AT&R wards at North Shore and Waitakere Hospitals : a thesis presented in partial fulfilment of the requirements for the degree of Master of Science in Nutrition and Dietetics at Massey University, Albany, New Zealand
Bibliographic record
Abstract
Background: In line with the global trend of an ageing population, the number and proportion of New Zealanders aged 65 years and older is increasing. Those of advanced age (85 years and older) make up the fastest-growing demographic group within the aging population. In coming years it is projected almost a quarter of older adults in New Zealand will be aged 85 years and older. Advanced age adults are at an increased risk of poor nutrition status. Optimising nutritional wellbeing in advanced age is important as nutrition risk has been associated with longer hospital admissions, loss of independence due to disability and the need for a higher level of care. \nAim: The aim of this study was to establish the prevalence of nutrition risk among adults of advanced age (85 years and older) recently admitted to the Admission, Treatment and Rehabilitation (AT&R) wards at North Shore and Waitakere Hospitals. \nMethod: Participants were recruited into this cross-sectional study within five days of admission to the AT&R wards at North Shore and Waitakere Hospitals. Sociodemographic and health characteristics were established using an interviewer administered questionnaire. Anthropometric measures including body mass, muscle mass, and muscle strength were also taken. Nutrition risk was assessed using a validated screening tool, the Mini Nutritional Assessment-Short Form (MNA-SF). The validated 10-item Eating Assessment Tool was used to assess dysphagia risk and the validated Montreal Cognitive Assessment was used to determine level of cognition. Data were analysed using descriptive statistics. Pearson Chi-Square and Fisher’s Exact tests were used to examine differences between MNA-SF nutrition status groups. A p-value<0.05 was considered statistically significant. \nResults: Of the 88 participants, 43.2% were at high risk of malnutrition and 28.4% were malnourished. The majority of malnourished participants were widowed (64.0%), received the pension as their only source of income (76.0%), were taking more than five medications (76.0%), wore dentures (64%), had below normal cognitive function (92.3%), received regular support services (72.0%), and required daily help (76.0%). Participants who were malnourished were significantly more likely to be at risk of \ndysphagia (52.0%, p=0.015,). The MNA-SF score was positively correlated with body mass index (r=0.484, p<0.001); grip strength in the dominant hand (r=0.250, p=0.026), and negatively correlated with dysphagia risk score (r=-0.383, p<0.001). \nConclusion: Nutrition risk and malnutrition is highly prevalent among hospitalised adults of advanced age. Ensuring routine nutrition screening is carried out on admission to an AT&R ward is an important first step to identify those at nutrition risk. These findings also highlight the importance of screening for dysphagia risk alongside nutrition risk among advanced age adults. Screening on admission to hospital can help to identify those in need of further assessment and can help to shape the interventions to improve nutrition status.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".