Shono Reimi, Nakahara Shinji, Toyama Kenji, Gomi Ikuko, Nguyen Linh T, Nguyen Huong Lan T, Miyoshi Fumiya, Kuchiba Aya, Inada Haruhiko, Le Huong T, Nakamura Teiji
Nutrition, Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, JPN.
Emergency Medicine, Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, JPN.
Cureus. 2025 May 20;17(5):e84462. doi: 10.7759/cureus.84462. eCollection 2025 May.
Although hospital food services are an important component of nutrition management for hospitalized patients, most hospitalized patients in low- and middle-income countries (LMICs) do not take hospital meals. This exploratory analysis aimed to determine the factors associated with the selective intake of hospital meals by hospitalized patients in Hanoi, Vietnam. Methods: This cross-sectional study collected personal attribute data from a survey of inpatient nutritional status at six hospitals in Hanoi conducted between 2018 and 2019, and hospital attribute data collected in 2022. Logistic regression models were used to analyze the association between individual variables and hospital meal intake; the hospital ID dummy variable was included in the model to obtain a coefficient adjusted for individual-level variables for each hospital. The associations between the coefficients and hospital-level characteristics were determined graphically because the limited number of hospitals did not allow us to statistically analyze them. Results: Of the 748 participants analyzed, 194 (25.9%) consumed hospital meals. A multivariable logistic regression analysis with hospital meal intake as the dependent variable and individual-level variables as the independent variables revealed that dietary changes before admission and disease type were associated with hospital meal intake. However, when introducing the hospital ID dummies, only the hospital dummy showed a significant association; individual-level factors did not show associations. The associations between hospital dummy coefficients and hospital characteristics were unclear. Conclusions: There were significant inter-hospital differences in the intake of hospital meals. Further research is needed on the factors influencing hospital meal intake.
尽管医院餐饮服务是住院患者营养管理的重要组成部分，但低收入和中等收入国家（LMICs）的大多数住院患者并不食用医院提供的膳食。本探索性分析旨在确定越南河内住院患者选择性食用医院膳食的相关因素。方法：本横断面研究收集了2018年至2019年在河内六家医院进行的住院患者营养状况调查中的个人属性数据，以及2022年收集的医院属性数据。使用逻辑回归模型分析个体变量与医院膳食摄入之间的关联；模型中纳入医院ID虚拟变量，以获得针对每家医院个体水平变量进行调整的系数。由于医院数量有限，无法对系数与医院层面特征之间的关联进行统计分析，因此通过图形方式确定它们之间的关联。结果：在分析的748名参与者中，194人（25.9%）食用了医院膳食。以医院膳食摄入为因变量、个体水平变量为自变量的多变量逻辑回归分析显示，入院前的饮食变化和疾病类型与医院膳食摄入有关。然而，引入医院ID虚拟变量后，只有医院虚拟变量显示出显著关联；个体水平因素未显示出关联。医院虚拟变量系数与医院特征之间的关联不明确。结论：医院膳食的摄入量在不同医院之间存在显著差异。需要对影响医院膳食摄入的因素进行进一步研究。
