RESUMO
Background: The provision of hospital meals is considered a therapeutic intervention, and a therapeutic diet consisting of a post-discharge meal sample is provided. For elderly patients who require long-term care, it is important to determine the significance of nutrition by taking into account hospital meals, including therapeutic meals for conditions such as diabetes. Therefore, it is important to identify the factors that influence this judgment. This study aimed to investigate the difference between the expected nutritional intake via nutritional interpretation and actual nutritional intake. Methods: The study included 51 geriatric patients (77.7 ± 9.5 years; 36 males and 15 females) who could eat meals independently. The participants completed a dietary survey to determine the perceived nutritional intake obtained from hospital meal contents. Additionally, we investigated the amount of hospital meal leftovers from the medical records and the amount of nutrients from the menus to calculate the actual nutritional intake. We calculated the amount of calories, protein concentration, and non-protein/nitrogen ratio from the perceived and actual nutritional intake values. We then calculated the cosine similarity and conducted a qualitative analysis of factorial units to examine similarities between perceived and actual intake. Results: Among factors that constituted the large cosine similarity group (gender, age, etc.), gender was found as a particularly significant factor, with a high number of female patients (P = 0.014). Conclusions: Gender was found to influence the appropriate interpretation of the significance of hospital meals. The perception of such meals as samples for post-discharge dietary practice was more significant among female patients. This demonstrated that in elderly patients, it is important to consider gender differences when providing diet and convalescence guidance.
RESUMO
Background: Differences in nutrition intake by meal intake time of geriatric patients may affect albumin (Alb) synthesis ability. Methods: We included 36 geriatric patients (81.7 ± 7.7 years; 20 males and 16 females) as subjects. We calculated their dietary patterns (DPs) by computing intake by breakfast, lunch, and dinner, as well as by nutrient, for a weight of 1 kg/day for 4 weeks after hospitalization. We confirmed the relationship between "DP with a positive correlation with breakfast protein" and the change rate of albumin (Alb-RC). Then, we performed linear regression analysis to explore factors influencing Alb-RC and compared non-protein calorie/nitrogen ratio (NPC/N) between the upper and lower Alb-RC groups. Results: It was observed that Alb-RC was negatively correlated with "DP with a positive correlation with breakfast protein" (B = -0.055, P = 0.038) and positively correlated with breakfast NPC/N (B = 0.043, P = 0.029). Breakfast NPC/N tended to be higher in the upper group than in the lower group (P = 0.058). Conclusion: The study revealed that there was a positive correlation between Alb-RC levels and breakfast NPC/N in geriatric patients at the care mix institution.
RESUMO
BACKGROUND: The blood metabolome profiles depend on the meal intake time zone regardless of having the same meal. The serum albumin (Alb) level, which is important in managing geriatric patients with chronic diseases, is included in the metabolome analysis. In this study, we aimed to examine the relationship between Alb and the nutritional value of hospital meals consumed at breakfast, lunch, and dinner among geriatric patients. Chrononutrition was considered while drawing inferences. METHODS: We retrospectively surveyed 52 geriatric patients with chronic diseases (aged 79.7 ± 8.7 years) admitted at a small-scale hospital providing combined healthcare measures and oral nutritional support. The dietary intake per kilogram of body weight of nutritional components for breakfast, lunch, and dinner was individually expressed as the ratio to the whole daily food intake. The dietary pattern was determined by principal component analysis. We also conducted linear regression analysis, with Alb as the dependent variable, and age, sex, and grade assigned in this study as well as the first, second, and third principal components of the dietary patterns as the independent variables. RESULTS: Three principal components with an eigenvalue of > 1 were extracted. The second principal component was a significantly negative determinant factor for Alb (B = -0.108, P = 0.016). In patients with high Alb levels, the energy, protein, and fat ratios at lunch were positively correlated, while the energy and carbohydrate ratios at dinner were negatively correlated. Mealtimes were fixed. CONCLUSIONS: The results of this study showed that the dietary pattern predominantly observed in patients with high Alb levels may be positively associated with Alb synthesis.
