Schlegel-University of Waterloo Research Institute for Aging, Waterloo, Ontario, Canada.
École des sciences des aliments, de nutrition et d'études familiales, Faculté des sciences de la santé et des services communautaires, Université de Moncton, Moncton, New Brunswick, Canada.
J Am Med Dir Assoc. 2017 Nov 1;18(11):941-947. doi: 10.1016/j.jamda.2017.05.003. Epub 2017 Jun 28.
Poor food intake is known to lead to malnutrition in long-term care homes (LTCH), yet multilevel determinants of food intake are not fully understood, hampering development of interventions that can maintain the nutritional status of residents. This study measures energy and protein intake of LTCH residents, describes prevalence of diverse covariates, and the association of covariates with food intake.
Multisite cross-sectional study.
Thirty-two nursing homes from 4 provinces in Canada.
From a sample of 639 residents (20 randomly selected per home), 628 with complete data were included in analyses.
Three days of weighed food intake (main plate, estimated beverages and side dishes, snacks) were completed to measure energy and protein intake. Health records were reviewed for diagnoses, medications, and diet prescription. Mini-Nutritional Assessment-SF was used to determine nutritional risk. Oral health and dysphagia risk were assessed with standardized protocols. The Edinburgh-Feeding Questionnaire (Ed-FED) was used to identify eating challenges; mealtime interactions with staff were assessed with the Mealtime Relational Care Checklist. Mealtime observations recorded duration of meals and assistance received. Dining environments were assessed for physical features using the Dining Environment Audit Protocol, and the Mealtime Scan was used to record mealtime experience and ambiance. Staff completed the Person Directed Care questionnaire, and managers completed a survey describing features of the home and food services. Hierarchical multivariate regression determined predictors of energy and protein intake adjusted for other covariates.
Average age of participants was 86.3 ± 7.8 years and 69% were female. Median energy intake was 1571.9 ± 411.93 kcal and protein 58.4 ± 18.02 g/d. There was a significant interaction between being prescribed a pureed/liquidized diet and eating challenges for energy intake. Age, number of eating challenges, pureed/liquidized diet, and sometimes requiring eating assistance were negatively associated with energy and protein intake. Being male, a higher Mini-Nutritional Assessment-Short Form score, often requiring eating assistance, and being on a dementia care unit were positively associated with energy and protein intake. Energy intake alone was negatively associated with homelikeness scores but positively associated with person-centered care practices, whereas protein intake was positively associated with more dietitian time.
This is the first study to consider resident, unit, staff, and home variables that are associated with food intake. Findings indicate that interventions focused on pureed food, restorative dining, eating assistance, and person-centered care practices may support improved food intake and should be the target for further research.
众所周知,长期护理院(LTCH)的不良饮食会导致营养不良,但饮食摄入的多层次决定因素尚未完全了解,这阻碍了能够维持居民营养状况的干预措施的发展。本研究测量 LTCH 居民的能量和蛋白质摄入量,描述各种协变量的流行情况,以及协变量与食物摄入量的关联。
多地点横断面研究。
加拿大 4 个省的 32 家养老院。
从 639 名居民中(每个家庭随机抽取 20 名),有 628 名完成了完整数据的居民纳入分析。
通过 3 天的称重食物摄入(主盘、估计的饮料和配菜、零食)来测量能量和蛋白质摄入量。健康记录用于评估诊断、药物和饮食处方。使用迷你营养评估-SF 确定营养风险。使用标准化协议评估口腔健康和吞咽困难风险。使用爱丁堡喂养问卷(Ed-FED)确定饮食挑战;使用进餐关系护理检查表评估与工作人员的进餐互动。记录用餐时间和接受的帮助。用餐环境使用用餐环境审核协议进行评估,用餐扫描用于记录用餐体验和氛围。工作人员完成以人为本的护理问卷,管理人员完成一份描述家庭和餐饮服务特点的调查。分层多元回归确定调整其他协变量后的能量和蛋白质摄入量的预测因素。
参与者的平均年龄为 86.3 ± 7.8 岁,69%为女性。中位数能量摄入量为 1571.9 ± 411.93 千卡,蛋白质摄入量为 58.4 ± 18.02 克/天。在能量摄入方面,存在规定食用泥/液状饮食和饮食挑战之间的显著交互作用。年龄、饮食挑战数量、泥/液状饮食以及有时需要饮食帮助与能量和蛋白质摄入呈负相关。男性、较高的迷你营养评估-简短表格评分、经常需要饮食帮助以及在痴呆护理单元与能量和蛋白质摄入呈正相关。能量摄入与家庭相似性评分呈负相关,但与以人为本的护理实践呈正相关,而蛋白质摄入与更多的营养师时间呈正相关。
这是第一项考虑与食物摄入相关的居民、单位、工作人员和家庭变量的研究。研究结果表明,针对泥状食物、恢复性用餐、饮食帮助和以人为本的护理实践的干预措施可能有助于改善食物摄入,应成为进一步研究的目标。