ArticleEntropy (Basel, Switzerland)2020
Associations between Neurocardiovascular Signal Entropy and Physical Frailty.
Article in Entropy (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Linking Neurocardiovascular Responses in the Active Stand Test to Adverse Outcomes: Insights from the Irish Longitudinal Study on Ageing (TILDA).Sensors (Basel, Switzerland) · 2025Article
- Were Frailty Identification Criteria Created Equal? A Comparative Case Study on Continuous Non-Invasively Collected Neurocardiovascular Signals during an Active Standing Test in the Irish Longitudinal Study on Ageing (TILDA).Sensors (Basel, Switzerland) · 2024Observational
- Effects of posture on heart rate variability in non-frail and prefrail individuals: a cross-sectional study.BMC geriatrics · 2023Article
- Evaluation of a 3-Item Health Index in Predicting Mortality Risk: A 12-Year Follow-Up Study.Diagnostics (Basel, Switzerland) · 2023Article
- Blood Pressure Signal Entropy as a Novel Marker of Physical Frailty: Results from the FRAILMatics Clinical Cohort.Journal of clinical medicine · 2022Article
- Cardiovascular Signal Entropy Predicts All-Cause Mortality: Evidence from The Irish Longitudinal Study on Ageing (TILDA).Entropy (Basel, Switzerland) · 2022Article
- Improving the effectiveness of anti-aging modalities by using the constrained disorder principle-based management algorithms.Frontiers in aging · 2022Review
- Associations between Cardiovascular Signal Entropy and Cognitive Performance over Eight Years.Entropy (Basel, Switzerland) · 2021Article
- Comparison of Gait Speed Reserve, Usual Gait Speed, and Maximum Gait Speed of Adults Aged 50+ in Ireland Using Explainable Machine Learning.Frontiers in network physiology · 2021Article
- Network Physiology in Aging and Frailty: The Grand Challenge of Physiological Reserve in Older Adults.Frontiers in network physiology · 2021Article
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Authors and funding
6 authors.
Funding
Abstract
In this cross-sectional study, the relationship between noninvasively measured neurocardiovascular signal entropy and physical frailty was explored in a sample of community-dwelling older adults from The Irish Longitudinal Study on Ageing (TILDA). The hypothesis under investigation was that dysfunction in the neurovascular and cardiovascular systems, as quantified by short-length signal complexity during a lying-to-stand test (active stand), could provide a marker for frailty. Frailty status (i.e., "non-frail", "pre-frail", and "frail") was based on Fried's criteria (i.e., exhaustion, unexplained weight loss, weakness, slowness, and low physical activity). Approximate entropy (ApEn) and sample entropy (SampEn) were calculated during resting (lying down), active standing, and recovery phases. There was continuously measured blood pressure/heart rate data from 2645 individuals (53.0% female) and frontal lobe tissue oxygenation data from 2225 participants (52.3% female); both samples had a mean (SD) age of 64.3 (7.7) years. Results revealed statistically significant associations between neurocardiovascular signal entropy and frailty status. Entropy differences between non-frail and pre-frail/frail were greater during resting state compared with standing and recovery phases. Compared with ApEn, SampEn seemed to have better discriminating power between non-frail and pre-frail/frail individuals. The quantification of entropy in short length neurocardiovascular signals could provide a clinically useful marker of the multiple physiological dysregulations that underlie physical frailty.
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