Residential greenness and cardiac conduction abnormalities: epidemiological evidence and an explainable machine learning modeling study

Ding, Zhongao; Chen, Gongbo; Zhang, Liying; Baheti, Bota; Wu, Ruiyu; Liao, Wei; Liu, Xiaotian; Hou, Jian; Mao, Zhenxing; Guo, Yuming; Wang, Chongjian

doi:10.1016/j.chemosphere.2023.139671

Cited by 3 publications

(1 citation statement)

References 57 publications

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“…This lower sympathetic activation is consistent with the lower odds of heart rate, QTc, and PR interval abnormalities associated with higher levels of residential greenness. 36 The beneficial effects of greenness may also be due to lower levels of oxidative stress. We have found that high values of NDVI are associated with lower levels of urinary F2 isoprostane, 35 which is a sensitive marker of systemic levels of lipid peroxidation.…”

Section: Association Of Greenspaces With Cardiovascular Disease Morbi...mentioning

confidence: 99%

Greenspaces And Cardiovascular Health

Keith,

Hart,

Bhatnagar

2024

Circulation Research

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Accumulating evidence suggests that living in areas of high surrounding greenness or even brief exposures to areas of high greenery is conducive to cardiovascular health, which may be related to the environmental, social, psychological, and physiological benefits of greenspaces. Recent data from multiple cross-sectional, longitudinal, and cohort studies suggest that living in areas of high surrounding greenness is associated with a lower risk of all-cause and cardiovascular mortality. High levels of neighborhood greenery have been linked also to a decrease in the burden of cardiovascular disease risk factors as reflected by lower rates of hypertension, dyslipidemia, and diabetes. Those who live in greener environments report better mental health and more frequent social interactions, which can benefit cardiovascular health as well. In this narrative review, we discuss evidence linking greenspaces to cardiovascular health as well as the potential mechanisms underlying the beneficial effects of greenspaces, including the impact of vegetation on air, noise and light pollution, ambient temperature, physical activity, mental health, and biodiversity. We review literature on the beneficial effects of acute and chronic exposure to nature on cardiovascular disease risk factors, inflammation and immune function, and we highlight the potential cardiovascular effects of biogenic volatile organic compounds that are emitted by trees and shrubs. We identify current knowledge gaps in this area and underscore the need for additional population studies to understand more clearly and precisely the link between greenness and health. Such understanding is urgently needed to fully redeem the promise of greenspaces in preventing adverse environmental exposures, mitigating the effects of climate change, and creating healthier living environments.

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Section: Association Of Greenspaces With Cardiovascular Disease Morbi...mentioning

confidence: 99%

Greenspaces And Cardiovascular Health

Keith,

Hart,

Bhatnagar

2024

Circulation Research

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A review of evaluation approaches for explainable AI with applications in cardiology

Salih,

Galazzo,

Gkontra

et al. 2024

Artif Intell Rev

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Explainable artificial intelligence (XAI) elucidates the decision-making process of complex AI models and is important in building trust in model predictions. XAI explanations themselves require evaluation as to accuracy and reasonableness and in the context of use of the underlying AI model. This review details the evaluation of XAI in cardiac AI applications and has found that, of the studies examined, 37% evaluated XAI quality using literature results, 11% used clinicians as domain-experts, 11% used proxies or statistical analysis, with the remaining 43% not assessing the XAI used at all. We aim to inspire additional studies within healthcare, urging researchers not only to apply XAI methods but to systematically assess the resulting explanations, as a step towards developing trustworthy and safe models.

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A comprehensive review of explainable AI for disease diagnosis

Biswas

2024

Array

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Residential greenness and cardiac conduction abnormalities: epidemiological evidence and an explainable machine learning modeling study

Cited by 3 publications

References 57 publications

Greenspaces And Cardiovascular Health

Greenspaces And Cardiovascular Health

A review of evaluation approaches for explainable AI with applications in cardiology

A comprehensive review of explainable AI for disease diagnosis

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