Department of Human Movement Sciences, @AgeAmsterdam, Faculty of Behavioural and Movement Sciences, Amsterdam Movement Sciences, Vrije Universiteit, Amsterdam, the Netherlands; Department of Medicine and Aged Care, @AgeMelbourne, The Royal Melbourne Hospital, The University of Melbourne, Victoria, Australia.
Department of Medicine and Aged Care, @AgeMelbourne, The Royal Melbourne Hospital, The University of Melbourne, Victoria, Australia.
Arch Gerontol Geriatr. 2020 Jul-Aug;89:104066. doi: 10.1016/j.archger.2020.104066. Epub 2020 Apr 23.
Accurate estimation of the energy requirements including resting metabolic rate (RMR) is important for optimal nutritional care, yet its clinical determinants are unknown. This study examined the associations between clinical determinants of the Comprehensive Geriatric Assessment (CGA) domains with RMR among geriatric outpatients.
MATERIALS & METHODS: Data were retrieved from cohorts of community-dwelling older adults (n = 84, 54 female) referring to geriatrics outpatient mobility clinics in both Amsterdam, The Netherlands and Melbourne, Australia. Determinants within domains of the CGA included diseases (number, type and severity of diseases, polypharmacy), nutrition (body weight, body mass index, absolute and relative skeletal muscle mass, fat-free mass and fat mass, risk of malnutrition), physical function (handgrip strength, Short Physical Performance Battery, Timed Up & Go), cognition (Mini-Mental State Examination), psychological wellbeing (Geriatric Depression Scale) and blood pressure. RMR was objectively measured using indirect calorimetry with a canopy hood. Association between the clinical determinants with standardized RMR (country and sex-specific z-score) were analysed with linear regression adjusted for age, sex and body weight.
Determinants within the nutritional domain were associated with RMR; body weight showed the strongest association with RMR. Significant associations between determinants within the nutritional domain with RMR disappeared after further adjustment for body weight. None of the other domains were associated with RMR.
Body weight is the strongest clinical determinant of RMR and should be taken into account when estimating RMR in geriatric care.
准确估计能量需求,包括静息代谢率(RMR),对于最佳营养护理非常重要,但目前尚不清楚其临床决定因素。本研究旨在探讨综合老年评估(CGA)各领域的临床决定因素与老年门诊患者 RMR 之间的相关性。
数据来自荷兰阿姆斯特丹和澳大利亚墨尔本的社区居住的老年成年人(n=84,54 名女性)的队列研究,这些患者均因行动不便而前往老年门诊就诊。CGA 各领域内的决定因素包括疾病(疾病数量、类型和严重程度、多种药物治疗)、营养(体重、体重指数、绝对和相对骨骼肌质量、去脂体重和脂肪量、营养不良风险)、身体功能(握力、简易体能状况测试、起立-行走计时测试)、认知(简易精神状态检查)、心理幸福感(老年抑郁量表)和血压。使用带有天蓬罩的间接热量测定法来客观测量 RMR。使用线性回归分析调整年龄、性别和体重后,分析了各临床决定因素与标准化 RMR(特定国家和性别的 z 评分)之间的相关性。
营养领域内的决定因素与 RMR 相关;体重与 RMR 的相关性最强。进一步调整体重后,营养领域内的决定因素与 RMR 之间的显著相关性消失。其他领域与 RMR 均无相关性。
体重是 RMR 的最强临床决定因素,在老年护理中估计 RMR 时应考虑体重因素。