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
Notice bibliographique
Résumé
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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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».