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Specialty: Environmental Health
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Total 33 results found since Jan 2013.

IJERPH, Vol. 20, Pages 6093: Effects of High-Frequency Repetitive Transcranial Magnetic Stimulation Combined with Motor Learning on Motor Function and Grip Force of the Upper Limbs and Activities of Daily Living in Patients with a Subacute Stroke
Lee Functional paralysis of the upper extremities occurs in >70% of all patients after having a stroke, and >60% showed decreased hand dexterity. A total of 30 patients with a subacute stroke were randomly allocated to either high-frequency repetitive transcranial magnetic stimulation combined with motor learning (n = 14) or sham repetitive transcranial magnetic stimulation combined with motor learning (n = 16). High-frequency repetitive transcranial magnetic stimulation combined with the motor learning group was conducted for 20 min (10 min of high-frequency repetitive transcranial magnetic stimu...
Source: International Journal of Environmental Research and Public Health - June 9, 2023 Category: Environmental Health Authors: Jungwoo Shim Seungwon Lee Tags: Article Source Type: research

IJERPH, Vol. 20, Pages 5290: Cognitive Performance Deficits Are Associated with Clinically Significant Depression Symptoms in Older US Adults
nos Accumulating research has described cognitive impairment in adults with depression, however, few studies have focused on this relationship during older adulthood. Our cross-sectional study investigated the association between cognitive function performance and clinically significant depression symptoms in older adults. We analysed the data from the 2011 to 2014 National Health and Nutrition Examination Survey on older (aged 60 years and above) US adults. Cognitive function was assessed as a composite score and on a test-by-test basis based on the Consortium to Establish a Registry for Alzheimer’s Dise...
Source: International Journal of Environmental Research and Public Health - March 28, 2023 Category: Environmental Health Authors: Orestis Delardas Panagiotis Giannos Tags: Brief Report Source Type: research

IJERPH, Vol. 20, Pages 4123: Predicting Arm Nonuse in Individuals with Good Arm Motor Function after Stroke Rehabilitation: A Machine Learning Study
Keh-Chung Lin Many stroke survivors demonstrate arm nonuse despite good arm motor function. This retrospective secondary analysis aims to identify predictors of arm nonusers with good arm motor function after stroke rehabilitation. A total of 78 participants were categorized into 2 groups using the Fugl-Meyer Assessment Upper Extremity Scale (FMA-UE) and the Motor Activity Log Amount of Use (MAL-AOU). Group 1 comprised participants with good motor function (FMA-UE ≥ 31) and low daily upper limb use (MAL-AOU ≤ 2.5), and group 2 comprised all other participants. Feature selection analysis was perf...
Source: International Journal of Environmental Research and Public Health - February 25, 2023 Category: Environmental Health Authors: Yu-Wen Chen Yi-Chun Li Chien-Yu Huang Chia-Jung Lin Chia-Jui Tien Wen-Shiang Chen Chia-Ling Chen Keh-Chung Lin Tags: Article Source Type: research

Modeling of COVID ‐19 death rate using various air pollutants: A multiple linear regression approach
AbstractAir pollution is a significant health risk, especially for vulnerable populations such as children, people with chronic illnesses, the elderly, and the economically and socially disadvantaged. Furthermore, air pollution has enormous social costs that we all bear in the form of premature deaths, low productivity, sick leave, and other strains on the healthcare system. The primary sources of air pollution are traffic, home fires, and industry. Measuring NO2 levels in air pollution reveals the extent of pollution caused by traffic, particularly diesel vehicles, which are the primary source of NO2. COVID-19 rates are r...
Source: Environmental Quality Management - February 23, 2023 Category: Environmental Health Authors: Kambhampati Teja, Nirban Laskar, Ruhul Amin Mozumder Tags: RESEARCH ARTICLE Source Type: research

IJERPH, Vol. 20, Pages 2359: Integrated Machine Learning Decision Tree Model for Risk Evaluation in Patients with Non-Valvular Atrial Fibrillation When Taking Different Doses of Dabigatran
hi-Jie Lu The new generation of nonvitamin K antagonists are broadly applied for stroke prevention due to their notable efficacy and safety. Our study aimed to develop a suggestive utilization of dabigatran through an integrated machine learning (ML) decision-tree model. Participants taking different doses of dabigatran in the Randomized Evaluation of Long-Term Anticoagulant Therapy trial were included in our analysis and defined as the 110 mg and 150 mg groups. The proposed scheme integrated ML methods, namely naive Bayes, random forest (RF), classification and regression tree (CART), and extreme gradient boosting (XG...
Source: International Journal of Environmental Research and Public Health - January 29, 2023 Category: Environmental Health Authors: Yung-Chuan Huang Yu-Chen Cheng Mao-Jhen Jhou Mingchih Chen Chi-Jie Lu 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–September 2019) was used. Patients with atrial fibrillation (AF) who initiated oral anticoagulants during July 2015–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

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 10465: & ldquo;Back into Life & mdash;With a Power Wheelchair & rdquo;: Learning from People with Severe Stroke through a Participatory Photovoice Study in a Metropolitan Area in Germany
IJERPH, Vol. 19, Pages 10465: “Back into Life—With a Power Wheelchair”: Learning from People with Severe Stroke through a Participatory Photovoice Study in a Metropolitan Area in Germany International Journal of Environmental Research and Public Health doi: 10.3390/ijerph191710465 Authors: Tabea Böttger Silke Dennhardt Julia Knape Ulrike Marotzki Severe stroke leads to permanent changes in everyday life. Many stroke survivors depend on support in community mobility (CM). This leads to restrictions and limited social participation. A power wheelchair (PWC) can enable independent ...
Source: International Journal of Environmental Research and Public Health - August 23, 2022 Category: Environmental Health Authors: Tabea B öttger Silke Dennhardt Julia Knape Ulrike Marotzki Tags: Article Source Type: research

Exploring the impacts of street-level greenspace on stroke and cardiovascular diseases in Chinese adults
In this study, the CVDs and stroke data of participants were retrieved from the 33 Chinese Community Health Study. We measured participants' exposure to street-level greenspace exposure using street view images and machine learning technique. Multilevel logistic regressions were applied. While controlling for confounders, we found that higher level of street-level greenspace exposure was associated with lower CVDs prevalence. However, street-level greenspace exposure was associated with stroke prevalence only for females. The associations were stronger among females, younger adults, participants with educational attainment...
Source: Ecotoxicology and Environmental Safety - August 21, 2022 Category: Environmental Health Authors: Ruoyu Wang Pengxin Dong Guoping Dong Xiang Xiao Jingwen Huang Linchuan Yang Yunjiang Yu Guang-Hui Dong 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 7020: The Effect of a Coordinative Training in Young Swimmers & rsquo; Performance
This study investigated the effects of a coordinative in-water training. Total 26 young swimmers (16 boys) were divided in a training group (that performed two sets of 6 × 25-m front crawl, with manipulated speed and stroke frequency, two/week for eight weeks) and a control group. At the beginning and end of the training period, swimmers performed 50-m front crawl sprints recorded by seven land and six underwater Qualisys cameras. A linear mixed model regression was applied to investigate the training effects adjusted for sex. Differences between sex were registered in terms of speed, stroke length, and strok...
Source: International Journal of Environmental Research and Public Health - June 8, 2022 Category: Environmental Health Authors: Ana F. Silva Pedro Figueiredo Jo ão P. Vilas-Boas Ricardo J. Fernandes Ludovic Seifert Tags: Article Source Type: research

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

IJERPH, Vol. 19, Pages 5215: Machine Learning and Lean Six Sigma to Assess How COVID-19 Has Changed the Patient Management of the Complex Operative Unit of Neurology and Stroke Unit: A Single Center Study
Conclusions: This work has shown how, thanks to the implementation of protocols for the management of the COU of the Neurology and Stroke Unit, the work of doctors has improved, and this is evident from the values of the parameters taken into consideration.
Source: International Journal of Environmental Research and Public Health - April 26, 2022 Category: Environmental Health Authors: Giovanni Improta Anna Borrelli Maria Triassi Tags: Article 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