Filtered By:
Specialty: Environmental Health
Education: Learning

This page shows you your search results in order of relevance. This is page number 2.

Order by Relevance | Date

Total 33 results found since Jan 2013.

Questionnaire-based exposome-wide association studies (ExWAS) reveal expected and novel risk factors associated with cardiovascular outcomes in the Personalized Environment and Genes Study
In conclusion, using statistics and machine learning, these findings identify novel potential risk factors for CVD, enable hypothesis generation, provide insights into the complex relationships between risk factors and CVD, and highlight the importance of considering multiple exposures when examining CVD outcomes.PMID:35605674 | DOI:10.1016/j.envres.2022.113463
Source: Environmental Research - May 23, 2022 Category: Environmental Health Authors: Eunice Y Lee Farida Akhtari John S House Ross J Simpson Charles P Schmitt David C Fargo Shepherd H Schurman Janet E Hall Alison A Motsinger-Reif Source Type: research

Lasting Impact of an Ephemeral Organ: The Role of the Placenta in Fetal Programming
Recent advances in molecular and imaging technologies, “omics” fields, and data sciences are offering researchers an unprecedented look at the placenta, the master regulator of the fetal environment.© EPA/National Geographic Channel/Alamy Studies of infants conceived during the Dutch “Hunger Winter” provided some of the earliest clues that prenatal stress could affect health much later in life.© Nationaal Archief  © Evan Oto/Science Source In one study, the placental microbiome had a similar taxonomic profile as the oral microbiome, illustrated here by...
Source: EHP Research - July 1, 2016 Category: Environmental Health Authors: Web Admin Tags: Featured Focus News July 2016 Source Type: research

Nanomaterials Versus Ambient Ultrafine Particles: An Opportunity to Exchange Toxicology Knowledge
Conclusion: There is now an opportunity to apply knowledge from NM toxicology and use it to better inform PM health risk research and vice versa. https://doi.org/10.1289/EHP424 Received: 17 December 2015 Revised: 12 August 2016 Accepted: 30 August 2016 Published: 10 October 2017 Address correspondence to V. Stone, School of Life Sciences, Heriot-Watt University, Edinburgh, UK. Telephone: +44 131 451 3460. Email: v.stone@hw.ac.uk V.S. currently receives grant funding from Byk Altana and from The European Ceramic Fibre Industry Association (ECFIA). In the past, V.S. has received funding from Unilever and GlaxoSmithKline....
Source: EHP Research - October 10, 2017 Category: Environmental Health Authors: Daniil Lyalko Tags: Review Source Type: research

IJERPH, Vol. 18, Pages 5838: Automated Detection of Hypertension Using Physiological Signals: A Review
Acharya Arterial hypertension (HT) is a chronic condition of elevated blood pressure (BP), which may cause increased incidence of cardiovascular disease, stroke, kidney failure and mortality. If the HT is diagnosed early, effective treatment can control the BP and avert adverse outcomes. Physiological signals like electrocardiography (ECG), photoplethysmography (PPG), heart rate variability (HRV), and ballistocardiography (BCG) can be used to monitor health status but are not directly correlated with BP measurements. The manual detection of HT using these physiological signals is time consuming and prone to human erro...
Source: International Journal of Environmental Research and Public Health - May 29, 2021 Category: Environmental Health Authors: Sharma Rajput Tan Acharya Tags: Review Source Type: research

Ambient PM < sub > 2.5 < /sub > -induced brain injury is associated with the activation of PI3K/AKT/FoxO1 pathway
Environ Sci Pollut Res Int. 2021 Jul 15. doi: 10.1007/s11356-021-15405-0. Online ahead of print.ABSTRACTPM2.5-related neurological and mental diseases, such as cognitive impairment and stroke, tend to cause disability. Six-week-old male C57BL/6 mice were divided into 6 groups and exposed to concentrated PM2.5 or filtered air for 2, 4, and 6 months, respectively. The neurobehavioral changes of mice were tested. The weight of the whole brain and olfactory bulbs were recorded at the end of exposure, and the brain structure was observed by hematoxylin and eosin (HE) staining. Serum indicators, mRNA, and protein expressions wer...
Source: Environmental Science and Pollution Research International - July 16, 2021 Category: Environmental Health Authors: Liying Song Kun Pan Xihao Du Shuo Jiang Xuejiao Zeng Jia Zhang Lei Lei Mengdi Zhang Yuwen Zhang Dongxia Fan Zhixiu Liu Ji Zhou Jinzhuo Zhao Source Type: research

IJERPH, Vol. 18, Pages 11302: Review of Deep Learning-Based Atrial Fibrillation Detection Studies
Rajendra Acharya Atrial fibrillation (AF) is a common arrhythmia that can lead to stroke, heart failure, and premature death. Manual screening of AF on electrocardiography (ECG) is time-consuming and prone to errors. To overcome these limitations, computer-aided diagnosis systems are developed using artificial intelligence techniques for automated detection of AF. Various machine learning and deep learning (DL) techniques have been developed for the automated detection of AF. In this review, we focused on the automated AF detection models developed using DL techniques. Twenty-four relevant articles published in intern...
Source: International Journal of Environmental Research and Public Health - October 28, 2021 Category: Environmental Health Authors: Fatma Murat Ferhat Sadak Ozal Yildirim Muhammed Talo Ender Murat Murat Karabatak Yakup Demir Ru-San Tan Udyavara Rajendra Acharya Tags: Review Source Type: research

Associations between short-term ambient ozone exposure and cause-specific mortality in rural and urban areas of Jiangsu, China
Environ Res. 2022 Mar 11:113098. doi: 10.1016/j.envres.2022.113098. Online ahead of print.ABSTRACTMost previous studies on the acute health effects of ozone are limited to urban areas, largely due to the paucity of air pollutant measurements in rural areas. We here estimated the county-specific daily maximum 8-h average ozone concentration in Jiangsu Province, China during 2015-2018, using a recently developed spatiotemporal machine learning model at a spatial resolution of 0.1° × 0.1° (∼11 × 11 km). Counties were equally divided into urban and rural groups based on the median of the percentage of urban residents acr...
Source: Environmental Research - March 15, 2022 Category: Environmental Health Authors: Chengyi Lin Yiqun Ma Riyang Liu Yanchuan Shao Zongwei Ma Lian Zhou Yuanshu Jing Michelle L Bell Kai Chen Source Type: research

IJERPH, Vol. 19, Pages 4014: Automated Detection of Hypertension Using Continuous Wavelet Transform and a Deep Neural Network with Ballistocardiography Signals
Acharya Managing hypertension (HPT) remains a significant challenge for humanity. Despite advancements in blood pressure (BP)-measuring systems and the accessibility of effective and safe anti-hypertensive medicines, HPT is a major public health concern. Headaches, dizziness and fainting are common symptoms of HPT. In HPT patients, normalcy may be observed at one instant and abnormality may prevail during a long duration of 24 h ambulatory BP. This may cause difficulty in identifying patients with HPT, and hence there is a possibility that individuals may be untreated or administered insufficiently. Most importantly, u...
Source: International Journal of Environmental Research and Public Health - March 28, 2022 Category: Environmental Health Authors: Jaypal Singh Rajput Manish Sharma T. Sudheer Kumar and U. Rajendra Acharya Tags: Article Source Type: research

IJERPH, Vol. 19, Pages 8995: Bridging the Gap between Clinical Service and Academic Education of Hand-Splinting Practice: Perspectives and Experiences of Thai Occupational Therapists
ch Thichanpiang A gap in knowledge about current splinting practice exists between the educational program and clinical service. To bridge this gap, we investigated the perspectives and experiences of Thai occupational therapists regarding contemporary hand splinting practices in clinical use. A mixed-method study was designed. An explanatory sequential mixed methods design was used. In the first quantitative phase, a survey questionnaire was mailed to occupational therapists. The questions were regarding contemporary hand splinting practices in clinical use at seven hospitals in the capital city of Bangkok and outskir...
Source: International Journal of Environmental Research and Public Health - July 24, 2022 Category: Environmental Health Authors: Anuchart Kaunnil Veerawat Sansri Surachart Thongchoomsin Kannika Permpoonputtana Mandy Stanley Piyawat Trevittaya Chirathip Thawisuk Peeradech Thichanpiang Tags: Article Source Type: research

IJERPH, Vol. 19, Pages 12059: Determinants of COVID-19 Outcome as Predictors of Delayed Healthcare Services among Adults & ge;50 Years during the Pandemic: 2006 & ndash;2020 Health and Retirement Study
Conclusion: Among older adults, sex, education and depressive symptoms are key predictors of delayed healthcare services attributed to the COVID-19 pandemic. Delays in surgical and non-surgical healthcare services may have distinct predictors, with non-surgical delays more frequently observed among individuals with a history of 1 or 2 cardiovascular and/or metabolic conditions.
Source: International Journal of Environmental Research and Public Health - September 23, 2022 Category: Environmental Health Authors: Hind A. Beydoun May A. Beydoun Brook T. Alemu Jordan Weiss Sharmin Hossain Rana S. Gautam Alan B. Zonderman Tags: Article Source Type: research

IJERPH, Vol. 19, Pages 12916: Impact of Integrating Machine Learning in Comparative Effectiveness Research of Oral Anticoagulants in Patients with Atrial Fibrillation
Suh We aimed to compare the ability to balance baseline covariates and explore the impact of residual confounding between conventional and machine learning approaches to derive propensity scores (PS). The Health Insurance Review and Assessment Service database (January 2012&amp;ndash;September 2019) was used. Patients with atrial fibrillation (AF) who initiated oral anticoagulants during July 2015&amp;ndash;September 2018 were included. The outcome of interest was stroke/systemic embolism. To estimate PS, we used a logistic regression model (i.e., a conventional approach) and a generalized boosted model (GBM) w...
Source: International Journal of Environmental Research and Public Health - October 9, 2022 Category: Environmental Health Authors: Sola Han Hae Sun Suh Tags: Article Source Type: research