Clinical and Health Psychology Unit, IRCCS San Raffaele Scientific Institute, School of Psychology, Vita-Salute San Raffaele University, 20132 Milan, Italy.
Genomics of Renal Diseases and Hypertension Unit, IRCCS San Raffaele Scientific Institute, School of Nephrology, Vita-Salute San Raffaele University, 20132 Milan, Italy.
Int J Environ Res Public Health. 2022 Dec 14;19(24):16776. doi: 10.3390/ijerph192416776.
Frailty is a major challenge facing the aging world. The phenotype of the frail subject is still far from being satisfactorily defined. We report data on mood, cognition, and quality of life (QoL) in relation to anamnestic factors, health, and socio-economic status in the FRASNET geriatric population (1204 subjects in stable health conditions), which is an observational cohort study that includes fairly balanced groups of Italian frail (421, 35%), pre-frail (449, 37.3%) and robust (334, 27.7%) subjects. A conditional inference tree analysis revealed a substantial influence of psychological variables on frailty. The physical indicator of QoL (Short Form Survey-36-Physical Component Summary, SF-36-PCS) was the predominant variable in the full model (threshold at 39.9, < 0.001): higher frailty was found in subjects with a caregiver and lower SF-36-PCS. Frailty was also associated with the mental indicator of QoL (Short Form Survey-36-Mental Component Summary, SF-36-MCS), depression (Geriatric Depression Scale, GDS-15), leisure activities, and level of education. In support of the prominent role of inflammation in aging and mental illness, the SF-36-PCS score was correlated with the blood concentration of C-X-C motif chemokine ligand 10 (CXCL10) (r Pearson -0.355, = 0.015), a critical signal in cell senescence and inflammaging, while the rs7567647 variant in gene encoding a glycoprotein in the extracellular matrix was significantly associated with frailty in a multivariable model ( = 0.0006). The perception of health-related QoL and subclinical depression contribute to frailty. Their assessment could improve the identification of older patients at increased risk of adverse outcomes.
衰弱是老龄化世界面临的主要挑战。衰弱受试者的表型仍远未得到令人满意的定义。我们报告了与记忆因素、健康和社会经济地位相关的情绪、认知和生活质量(QoL)的数据,这些数据来自 FRASNET 老年人群(1204 名稳定健康状况的受试者),这是一项观察性队列研究,包括相当平衡的意大利虚弱(421,35%)、脆弱前(449,37.3%)和强壮(334,27.7%)受试者组。条件推断树分析显示,心理变量对衰弱有很大影响。生活质量的物理指标(简短健康调查 36-物理成分摘要,SF-36-PCS)是全模型中的主要变量(阈值为 39.9,<0.001):有照顾者的受试者和较低的 SF-36-PCS 发现衰弱程度更高。衰弱还与生活质量的心理指标(简短健康调查 36-心理成分摘要,SF-36-MCS)、抑郁(老年抑郁量表,GDS-15)、休闲活动和教育水平相关。为了支持炎症在衰老和精神疾病中的突出作用,SF-36-PCS 评分与血液中 C-X-C 基序趋化因子配体 10(CXCL10)的浓度相关(Pearson 相关系数-0.355,=0.015),这是细胞衰老和炎症老化的关键信号,而基因编码细胞外基质中糖蛋白的 rs7567647 变体在多变量模型中与虚弱显著相关(=0.0006)。对健康相关 QoL 和亚临床抑郁的感知有助于衰弱。对它们的评估可以提高对处于不良结局风险增加的老年患者的识别。