AUTHOR=Jiang Xin , Zhou Junhong , Yu Chengyuan , Chen Wenbo , Huang Baofeng , Chen Yurong , Zhong Lilian , Guo Yi , Geng Qingshan , Cai Yurun 

TITLE=The alterations in multiple neurophysiological procedures are associated with frailty phenotype in older adults

JOURNAL=Frontiers in Aging Neuroscience

VOLUME=15

YEAR=2023

URL=https://www.frontiersin.org/journals/aging-neuroscience/articles/10.3389/fnagi.2023.1063322

DOI=10.3389/fnagi.2023.1063322

ISSN=1663-4365

ABSTRACT=<sec><title>Background</title><p>Older adults oftentimes suffer from the conditions in multiple physiologic systems, interfering with their daily function and thus contributing to physical frailty. The contributions of such multisystem conditions to physical frailty have not been well characterized.</p></sec><sec><title>Methods</title><p>In this study, 442 (mean age = 71.4 ± 8.1 years, 235 women) participants completed the assessment of frailty syndromes, including unintentional weight loss, exhaustion, slowness, low activity, and weakness, and were categorized into frail (≥3 conditions), pre-frail (1 or 2 conditions), and robust (no condition) status. Multisystem conditions including cardiovascular diseases, vascular function, hypertension, diabetes, sleep disorders, sarcopenia, cognitive impairment, and chronic pain were assessed. Structural equation modeling examined the interrelationships between these conditions and their associations with frailty syndromes.</p></sec><sec><title>Results</title><p>Fifty (11.3%) participants were frail, 212 (48.0%) were pre-frail, and 180 (40.7%) were robust. We observed that worse vascular function was directly associated with higher risk of slowness [standardized coefficient (SC) = −0.419, <italic>p</italic> &lt; 0.001], weakness (SC = −0.367, <italic>p</italic> &lt; 0.001), and exhaustion (SC = −0.347, <italic>p</italic> &lt; 0.001). Sarcopenia was associated with both slowness (SC = 0.132, <italic>p</italic> = 0.011) and weakness (SC = 0.217, <italic>p</italic> = 0.001). Chronic pain, poor sleep quality, and cognitive impairment were associated with exhaustion (SC = 0.263, <italic>p</italic> &lt; 0.001; SC = 0.143, <italic>p</italic> = 0.016; SC = 0.178, <italic>p</italic> = 0.004, respectively). The multinomial logistic regression showed that greater number of these conditions were associated with increased probability of being frail (odds ratio&gt;1.23, <italic>p</italic> &lt; 0.032).</p></sec><sec><title>Conclusion</title><p>These findings in this pilot study provide novel insights into how multisystem conditions are associated with each other and with frailty in older adults. Future longitudinal studies are warranted to explore how the changes in these health conditions alter frailty status.</p></sec>