The influence of protein-calorie malnutrition on quality of life in nursing homes.

The influence of protein-calorie malnutrition on quality of life in nursing homes.
复制标题

蛋白质热量营养不良对疗养院生活质量的影响。

DOI:
10.1093/gerona/58.2.m159
复制
发表时间:
2003
期刊:
The journals of gerontology. Series A, Biological sciences and medical sciences
影响因子:
--
通讯作者:
A. Pasvogel
A. Pasvogel
中科院分区:
--
文献类型:
--
作者:
N. Crogan;A. Pasvogel

文献摘要

参考文献

被引文献

相似文献

背景 居住在我国疗养院的老年人中有高达 85% 患有蛋白质热量营养不良 (PCM)。早期识别和治疗 PCM 可以减少或预防住院时间、减少并发症并降低死亡率。我们使用最小数据集中的存档数据描述了 PCM 对疗养院生活质量的影响。 方法 该研究以质量营养结果-长期护理模型为指导,该模型提出了组织问题影响营养状况的途径,包括体重指数(BMI)、血清白蛋白水平和前白蛋白水平,以及随后的生活质量、发病率和医疗保健利用。使用横断面设计来分析从先前的研究中收集的最小数据集评估数据。本次分析的样本是 311 名疗养院居民,年龄在 65 岁或以上,他们居住在华盛顿州东部的三个疗养院。 结果 参与者中,38.6% 营养不良。 PCM(以 BMI 衡量)影响这些居民的生活质量,因为 BMI 与功能状态(饮食、个人卫生和厕所使用)以及 BMI 与社会心理健康(主动性或参与性、不稳定的关系和过去的角色)之间存在显着关系。抑郁症并不是这些疗养院居民低体重指数的重要指标。 结论 本研究发现低 BMI(表明 PCM)会对生活质量产生负面影响。了解生活质量和 PCM 之间的关系可以提高疗养院老年人的生活质量,并指导未来旨在预防 PCM 的创新干预研究。
BACKGROUND Up to 85% of the older adults living in our nation's nursing homes suffer from protein-calorie malnutrition (PCM). Early identification and treatment of PCM can reduce or prevent hospital stays, reduce complications, and decrease mortality. We describe the influence of PCM on quality of life in nursing homes, using archived data from the Minimum Data Set. METHODS The study was guided by the Quality Nutrition Outcomes-Long Term Care Model, which posits a pathway whereby organizational issues influence nutritional status, consisting of body mass index (BMI), serum albumin levels, and prealbumin levels, and subsequent quality of life, morbidity, and health care utilization. A cross-sectional design was used to analyze Minimum Data Set assessment data already collected from a previous study. The sample for this analysis was 311 nursing home residents, aged 65 years or older, who lived in three nursing homes in eastern Washington. RESULTS Of the participants, 38.6% were malnourished. PCM (measured by BMI) influenced quality of life for these residents in that there was a significant relationship between BMI and functional status (eating, personal hygiene, and toilet use) and BMI and psychosocial well-being (initiative or involvement, unsettled relationships, and past roles). Depression was not a significant indicator of low BMI in these nursing home residents. CONCLUSIONS Low BMI, indicating PCM, was found to negatively influence quality of life in this study. Understanding the relationship between quality of life and PCM could lead to improved quality of life for older adults in nursing homes and guide future innovative intervention studies aimed at preventing PCM.
DOI: 10.3928/0098-9134-19970801-07
发表时间: 1997
影响因子: 1.3
作者:
Kayser-Jones,J
通讯作者: Kayser-Jones,J