社区居住老年人虚弱综合征与贫血的关系

Elisa Priscila Sousa de Assis, Barbara Gazolla de Macedo, Thais Almeida Marques da Silva, P. P. Rezende, É. Vieira, A. L. Júnior, Carlos Antunes
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引用次数: 2

摘要

虚弱是老年医学和老年学领域的一个重要而复杂的现象,也是一个高度相关的话题。虚弱综合征(FS)是一种以多器官系统生理和认知储备丧失为特征的多维临床状况。Fried脆性表型是FS的主要分类模型。最近的研究表明,贫血、低血红蛋白浓度和虚弱之间存在关联。本研究旨在评估社区居住老年人FS与贫血之间的关系。采用观察性横断面设计,共有308名老年受试者。大多数参与者是60至69岁(50.6%)的女性(78.2%)。平均受教育年限为9.7年。9.7%的参与者检测到贫血。体弱多病、体弱多病前期和非体弱多病的发生率分别为8.2、74.0和17.8%。多变量有序逻辑回归模型确定了低水平的脑源性神经营养因子(BDNF) (OR = 0.9, 95% CI = 0.9;0.9)作为FS相关的危险因素。没有发现虚弱和贫血之间有明显的联系。此外,尽管统计模型得出的结果不显著,但FS可能受到低学校教育水平的影响。这些发现有助于阐明与FS相关的其他因素,特别是在社区居住的老年人中。
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Association between Frailty Syndrome and Anemia in Community-Dwelling Elderly
Frailty is an important and complex phenomenon in the fields of geriatrics and gerontology and a highly relevant topic. Frailty syndrome (FS) is a multidimensional clinical condition characterized by loss of physiological and cognitive reserves across multiple organ systems. The Fried frailty phenotype is the main model used to categorize FS. Recent studies have shown an association between anemia, low hemoglobin concentration and frailty. This study aimed to assess the association between FS and anemia in community-dwelling elderly. An observational cross-sectional design was used, with 308 elderly subjects. Most participants were women (78.2%) between 60 and 69 years old (50.6%). The average schooling level was 9.7 years. Anemia was detected in 9.7% of participants. The frequency of frailty, pre-frailty and non-frailty was 8.2, 74.0 and 17.8%, respectively. The multivariate ordinal logistic regression model identified low levels of brain-derived neurotrophic factor (BDNF) (OR = 0.9, 95% CI = 0.9; 0.9) as risk factor associated with FS. No significant association was found between frailty and anemia. Moreover, FS may be influenced by low schooling levels, despite the non-significant result obtained in the statistical model. These findings contribute to elucidating other factors associated with FS, especially in community-dwelling elderly.
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