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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="health risk study"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 54387</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: health risk study</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">54387</span> Classification of Health Risk Factors to Predict the Risk of Falling in Older Adults </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=L.%20Lindsay">L. Lindsay</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20A.%20Coleman"> S. A. Coleman</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20Kerr"> D. Kerr</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20J.%20Taylor"> B. J. Taylor</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Moorhead"> A. Moorhead</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cognitive decline and frailty is apparent in older adults leading to an increased likelihood of the risk of falling. Currently health care professionals have to make professional decisions regarding such risks, and hence make difficult decisions regarding the future welfare of the ageing population. This study uses health data from The Irish Longitudinal Study on Ageing (TILDA), focusing on adults over the age of 50 years, in order to analyse health risk factors and predict the likelihood of falls. This prediction is based on the use of machine learning algorithms whereby health risk factors are used as inputs to predict the likelihood of falling. Initial results show that health risk factors such as long-term health issues contribute to the number of falls. The identification of such health risk factors has the potential to inform health and social care professionals, older people and their family members in order to mitigate daily living risks. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=classification" title="classification">classification</a>, <a href="https://publications.waset.org/abstracts/search?q=falls" title=" falls"> falls</a>, <a href="https://publications.waset.org/abstracts/search?q=health%20risk%20factors" title=" health risk factors"> health risk factors</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=older%20adults" title=" older adults"> older adults</a> </p> <a href="https://publications.waset.org/abstracts/104420/classification-of-health-risk-factors-to-predict-the-risk-of-falling-in-older-adults" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/104420.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">148</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">54386</span> Environmental Safety and Occupational Health Risk Assessment for Rocket Static Test </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Phontip%20Kanlahasuth">Phontip Kanlahasuth </a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents the environmental safety and occupational health risk assessment of rocket static test by assessing risk level from probability and severity and then appropriately applying the risk control measures. Before the environmental safety and occupational health measures are applied, the serious hazards level is 31%, medium level is 24% and low level is 45%. Once risk control measures are practically implemented, the serious hazard level can be diminished, medium level is 38%, low level is 45% and eliminated level is 17%. It is clearly shown that the environmental safety and occupational health measures can significantly reduce the risk level. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=rocket%20static%20test" title="rocket static test">rocket static test</a>, <a href="https://publications.waset.org/abstracts/search?q=hazard" title=" hazard"> hazard</a>, <a href="https://publications.waset.org/abstracts/search?q=risk" title=" risk"> risk</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20assessment" title=" risk assessment"> risk assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20analysis" title=" risk analysis"> risk analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=environment" title=" environment"> environment</a>, <a href="https://publications.waset.org/abstracts/search?q=safety" title=" safety"> safety</a>, <a href="https://publications.waset.org/abstracts/search?q=occupational%20health" title=" occupational health"> occupational health</a>, <a href="https://publications.waset.org/abstracts/search?q=acceptable%20risk" title=" acceptable risk"> acceptable risk</a>, <a href="https://publications.waset.org/abstracts/search?q=probability" title=" probability"> probability</a>, <a href="https://publications.waset.org/abstracts/search?q=severity" title=" severity"> severity</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20level" title=" risk level"> risk level</a> </p> <a href="https://publications.waset.org/abstracts/4165/environmental-safety-and-occupational-health-risk-assessment-for-rocket-static-test" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/4165.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">587</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">54385</span> Health Risk Assessment of Trihalogenmethanes in Drinking Water</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lenka%20Jesonkova">Lenka Jesonkova</a>, <a href="https://publications.waset.org/abstracts/search?q=Frantisek%20Bozek"> Frantisek Bozek</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Trihalogenmethanes (THMs) are disinfection byproducts with non-carcinogenic and genotoxic effects. The contamination of 6 sites close to the water treatment plant has been monitored in second largest city of the Czech Republic. Health risk assessment including both non-carcinogenic and genotoxic risk for long term exposition was realized using the critical concentrations. Concentrations of trihalogenmethanes met national standards in all samples. Risk assessment proved that health risks from trihalogenmethanes are acceptable on each site. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=drinking%20water" title="drinking water">drinking water</a>, <a href="https://publications.waset.org/abstracts/search?q=health%20risk%20assessment" title=" health risk assessment"> health risk assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=trihalogenmethanes" title=" trihalogenmethanes"> trihalogenmethanes</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20pollution" title=" water pollution"> water pollution</a> </p> <a href="https://publications.waset.org/abstracts/2153/health-risk-assessment-of-trihalogenmethanes-in-drinking-water" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/2153.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">520</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">54384</span> The Role of Lifetime Stress in the Relation between Socioeconomic Status and Health-Risk Behaviors</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Teresa%20Smith">Teresa Smith</a>, <a href="https://publications.waset.org/abstracts/search?q=Farrah%20Jacquez"> Farrah Jacquez</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Health-risk behaviors (e.g., smoking, poor diet) directly increase the risk for chronic disease and morbidity. There is substantial evidence of a negative association between socioeconomic status (SES) and engagement in health-risk behaviors. However, due to the complexity of SES, researchers have suggested looking beyond this factor to fully understand the mechanisms that underlie engagement in health-risk behaviors. Stress is one plausible mechanism through which SES impacts health-risk behaviors. Currently, it remains unclear how stress occurring across the life course might impact health behaviors and explain the association between SES and these behaviors. To address the gaps in the literature, 172 adults between the ages of 18-49 were surveyed about their lifetime stress exposure, sociodemographic variables, and health-risk behaviors via an online recruitment portal, Prolific. Five major findings emerged from the current study. First, SES was negatively associated with engagement in health-risk behaviors and lifetime stress above and beyond current stress and other relevant demographics. Second, lifetime stress was significantly associated with health-risk behaviors above and beyond current stress and relevant demographic variables. Third, lifetime stress fully mediated the association between SES and health-risk behaviors above and beyond current stress and other demographics. Fourth, the severity of stress experienced emerged as the most significant lifetime stress variable that explains the relation between SES and health-risk behaviors. Fifth and finally, lower SES and experiencing financial and legal/crime stressors increased the likelihood of engaging in health-risk behaviors. The current study results align with previous research and suggest that stress occurring over the lifespan impacts the relation between SES and health-risk behaviors, which are in turn known to impact health outcomes. However, our findings move the current literature forward by providing a more nuanced understanding of the specific aspects of stress that influence this association. Specifically, the severity of stress experienced across the entire lifespan was the most important aspect of stress when examining the association between SES and health-risk behaviors. Further, individuals most at risk for engaging in health-risk behaviors are those of the lowest SES and experience financial and legal/crime stressors. These findings have the potential to inform interventions and policies aimed at addressing health-risk behaviors by providing a more sophisticated understanding of the impact of stress. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=stress" title="stress">stress</a>, <a href="https://publications.waset.org/abstracts/search?q=health%20behaviors" title=" health behaviors"> health behaviors</a>, <a href="https://publications.waset.org/abstracts/search?q=socioeconomic%20status" title=" socioeconomic status"> socioeconomic status</a>, <a href="https://publications.waset.org/abstracts/search?q=health" title=" health"> health</a> </p> <a href="https://publications.waset.org/abstracts/133185/the-role-of-lifetime-stress-in-the-relation-between-socioeconomic-status-and-health-risk-behaviors" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/133185.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">146</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">54383</span> Risk Management in Healthcare Sector in Turkey: A Dental Hospital Case Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=P%C4%B1r%C4%B1l%20Tekin">Pırıl Tekin</a>, <a href="https://publications.waset.org/abstracts/search?q=R%C4%B1zvan%20Erol"> Rızvan Erol</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Risk management has become very important and popular in developing countries in recent years. Especially making patient and employee health and safety issues compulsory in the hospitals, raised the number of studies in Turkey. Also risk management become more important for hospital senior management from clinics to the laboratories. Because quality is really important to be chosen for both patients to consult and employees to prefer to work. And also risk management studies can lead to hospital management team about future works and methods. By this point of view, this study is the risk assessment carried out in the biggest dental hospital in the south part of Turkey. This study was conducted as a research case study, covering two different health care place; A Clinic and A Laboratory. It shows that the problems in this dental hospital and how it can solve all. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=risk%20management" title="risk management">risk management</a>, <a href="https://publications.waset.org/abstracts/search?q=healthcare" title=" healthcare"> healthcare</a>, <a href="https://publications.waset.org/abstracts/search?q=dental%20hospital" title=" dental hospital"> dental hospital</a>, <a href="https://publications.waset.org/abstracts/search?q=quality%20management" title=" quality management"> quality management</a> </p> <a href="https://publications.waset.org/abstracts/44623/risk-management-in-healthcare-sector-in-turkey-a-dental-hospital-case-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/44623.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">377</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">54382</span> Polyvictimization and the Risk of Harm to Self and Others among Children and Youth</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shannon%20L.%20Stewart">Shannon L. Stewart</a>, <a href="https://publications.waset.org/abstracts/search?q=Ashley%20Toohey"> Ashley Toohey</a>, <a href="https://publications.waset.org/abstracts/search?q=Natalia%20Lapshina"> Natalia Lapshina</a> </p> <p class="card-text"><strong>Abstract:</strong></p> There is a well-established relationship between childhood maltreatment and negative outcomes (e.g., physical and mental health problems, social skill deficits, poor quality of life). The goal of this study was to examine the relationship between polyvictimization (multiple types of trauma) and risk of harm to self and others, taking into account possible age and sex differences. A total of 8980 children and youth were recruited from over 50 mental health facilities across Ontario, Canada. Among this sample, 29% of children and youth had experienced polyvictimization. Results showed that female children and youth who had experienced trauma were at greater risk of harm to themselves, while their male counterparts were at greater risk of harming others. Further, findings from this study highlight that experiencing polyvictimization, regardless of age or sex, increased the risk of harm to self and others. These findings add to extant literature as to the cumulative relationship between polyvictimization and risk in relation to harming oneself or others. Further, results from this study have significant implications for assessment and care-planning for those children and youth presenting with a trauma background. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=children%27s%20mental%20health" title="children's mental health">children's mental health</a>, <a href="https://publications.waset.org/abstracts/search?q=polyvictimization" title=" polyvictimization"> polyvictimization</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20of%20harm" title=" risk of harm"> risk of harm</a>, <a href="https://publications.waset.org/abstracts/search?q=sex%20differences" title=" sex differences"> sex differences</a> </p> <a href="https://publications.waset.org/abstracts/127845/polyvictimization-and-the-risk-of-harm-to-self-and-others-among-children-and-youth" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/127845.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">134</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">54381</span> Volatile Organic Compounds from Decomposition of Local Food Waste and Potential Health Risk</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Siti%20Rohana%20Mohd%20Yatim">Siti Rohana Mohd Yatim</a>, <a href="https://publications.waset.org/abstracts/search?q=Ku%20Halim%20Ku%20Hamid"> Ku Halim Ku Hamid</a>, <a href="https://publications.waset.org/abstracts/search?q=Kamariah%20Noor%20Ismail"> Kamariah Noor Ismail</a>, <a href="https://publications.waset.org/abstracts/search?q=Zulkifli%20Abdul%20Rashid"> Zulkifli Abdul Rashid</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of this study is to investigate odour emission profiles from storage of food waste and to assess the potential health risk caused by exposure to volatile compounds. Food waste decomposition process was conducted for 14 days and kept at 20°C and 30°C in self-made bioreactor. VOCs emissions from both samples were collected at different stages of decomposition starting at day 0, day 1, day 3, day 5, day 7, day 10, day 12 and day 14. It was analyzed using TD-GC/MS. Findings showed that various VOCs were released during decomposition of food waste. Compounds produced were influenced by time, temperature and the physico-chemical characteristics of the compounds. The most abundant compound released was dimethyl disulfide. Potential health risk of exposure to this compound is represented by hazard ratio, HR, calculated at 1.6 x 1011. Since HR equal to or less than 1.0 is considered negligible risk, this indicates that the compound posed a potential risk to human health. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=volatile%20organic%20compounds" title="volatile organic compounds">volatile organic compounds</a>, <a href="https://publications.waset.org/abstracts/search?q=decomposition%20process" title=" decomposition process"> decomposition process</a>, <a href="https://publications.waset.org/abstracts/search?q=food%20waste" title=" food waste"> food waste</a>, <a href="https://publications.waset.org/abstracts/search?q=health%20risk" title=" health risk"> health risk</a> </p> <a href="https://publications.waset.org/abstracts/39703/volatile-organic-compounds-from-decomposition-of-local-food-waste-and-potential-health-risk" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/39703.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">520</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">54380</span> Risk Measure from Investment in Finance by Value at Risk</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammed%20El-Arbi%20Khalfallah">Mohammed El-Arbi Khalfallah</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Lakhdar%20Hadji"> Mohamed Lakhdar Hadji</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Managing and controlling risk is a topic research in the world of finance. Before a risky situation, the stakeholders need to do comparison according to the positions and actions, and financial institutions must take measures of a particular market risk and credit. In this work, we study a model of risk measure in finance: Value at Risk (VaR), which is a new tool for measuring an entity's exposure risk. We explain the concept of value at risk, your average, tail, and describe the three methods for computing: Parametric method, Historical method, and numerical method of Monte Carlo. Finally, we briefly describe advantages and disadvantages of the three methods for computing value at risk. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=average%20value%20at%20risk" title="average value at risk">average value at risk</a>, <a href="https://publications.waset.org/abstracts/search?q=conditional%20value%20at%20risk" title=" conditional value at risk"> conditional value at risk</a>, <a href="https://publications.waset.org/abstracts/search?q=tail%20value%20at%20risk" title=" tail value at risk"> tail value at risk</a>, <a href="https://publications.waset.org/abstracts/search?q=value%20at%20risk" title=" value at risk"> value at risk</a> </p> <a href="https://publications.waset.org/abstracts/61669/risk-measure-from-investment-in-finance-by-value-at-risk" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/61669.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">441</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">54379</span> Human Health Risks Assessment of Particulate Air Pollution in Romania</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Katalin%20Bodor">Katalin Bodor</a>, <a href="https://publications.waset.org/abstracts/search?q=Zsolt%20Bodor"> Zsolt Bodor</a>, <a href="https://publications.waset.org/abstracts/search?q=Robert%20Szep"> Robert Szep</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The particulate matter (PM) smaller than 2.5 μm are less studied due to the limited availability of PM₂.₅, and less information is available on the health effects attributable to PM₁₀ in Central-Eastern Europe. The objective of the current study was to assess the human health risk and characterize the spatial and temporal variation of PM₂.₅ and PM₁₀ in eight Romanian regions between the 2009-2018 and. The PM concentrations showed high variability over time and spatial distribution. The highest concentration was detected in the Bucharest region in the winter period, and the lowest was detected in West. The relative risk caused by the PM₁₀ for all-cause mortality varied between 1.017 (B) and 1.025 (W), with an average 1.020. The results demonstrate a positive relative risk of cardiopulmonary and lung cancer disease due to exposure to PM₂.₅ on the national average 1.26 ( ± 0.023) and 1.42 ( ± 0.037), respectively. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=PM%E2%82%82.%E2%82%85" title="PM₂.₅">PM₂.₅</a>, <a href="https://publications.waset.org/abstracts/search?q=PM%E2%82%81%E2%82%80" title=" PM₁₀"> PM₁₀</a>, <a href="https://publications.waset.org/abstracts/search?q=relative%20risk" title=" relative risk"> relative risk</a>, <a href="https://publications.waset.org/abstracts/search?q=health%20effect" title=" health effect"> health effect</a> </p> <a href="https://publications.waset.org/abstracts/123809/human-health-risks-assessment-of-particulate-air-pollution-in-romania" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/123809.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">161</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">54378</span> UEMSD Risk Identification: Case Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=K.%20Sekulov%C3%A1">K. Sekulová</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20%C5%A0imon"> M. Šimon</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The article demonstrates on a case study how it is possible to identify MSD risk. It is based on a dissertation risk identification model of occupational diseases formation in relation to the work activity that determines what risk can endanger workers who are exposed to the specific risk factors. It is evaluated based on statistical calculations. These risk factors are main cause of upper-extremities musculoskeletal disorders. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=case%20study" title="case study">case study</a>, <a href="https://publications.waset.org/abstracts/search?q=upper-extremity%20musculoskeletal%20disorders" title=" upper-extremity musculoskeletal disorders"> upper-extremity musculoskeletal disorders</a>, <a href="https://publications.waset.org/abstracts/search?q=ergonomics" title=" ergonomics"> ergonomics</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20identification" title=" risk identification"> risk identification</a> </p> <a href="https://publications.waset.org/abstracts/14518/uemsd-risk-identification-case-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14518.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">500</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">54377</span> Influence of Non-Carcinogenic Risk on Public Health </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gulmira%20Umarova">Gulmira Umarova</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The data on the assessment of the influence of environmental risk to the health of the population of Uralsk in the West region of Kazakhstan were presented. Calculation of non-carcinogenic risks was performed for such air pollutants as sulfur dioxide, nitrogen oxides, hydrogen sulfide, carbon monoxide. Here with the critical organs and systems, which are affected by the above-mentioned substances were taken into account. As well as indicators of primary and general morbidity by classes of diseases among the population were considered. The quantitative risk of the influence of substances on organs and systems is established by results of the calculation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=environment" title="environment">environment</a>, <a href="https://publications.waset.org/abstracts/search?q=health" title=" health"> health</a>, <a href="https://publications.waset.org/abstracts/search?q=morbidity" title=" morbidity"> morbidity</a>, <a href="https://publications.waset.org/abstracts/search?q=non-carcinogenic%20risk" title=" non-carcinogenic risk"> non-carcinogenic risk</a> </p> <a href="https://publications.waset.org/abstracts/106673/influence-of-non-carcinogenic-risk-on-public-health" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/106673.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">120</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">54376</span> Unhealthy Food Consumption Behavior in Suan Sunandha Rajabhat Universities </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Narumon%20Piaseu">Narumon Piaseu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This survey research was aimed to describe and compare consumption behavior of health risk food among students in Suan Sunandha Rajabhat University. Sample included 400 undergraduate students enrolled in the first semester of 2008 academic year. Data were collected by using self reported questionnaire developed by the researcher. Data were then analyzed by descriptive statistics including frequency, percentage, mean, standard deviation, and inferential statistics including independent t-test, and Oneway ANOVA. Results revealed that most of the sample were women (67%), enrolled in social related programs (74%). Approximately half of them (45.5%) stayed in dormitory. The mean of monthly income was 5,164 Baht and daily food expenditure was 114.55 Baht. Majority of them (83%) had ready-to-eat food. A major factor influencing their food selection was their parents (61%). A main reason for their food selection was food that looks good (70.75%). Almost half of them (46.25%) had heavy exercise less than 3 times per week. Regarding knowledge on health risk food, 43.5% of the sample had good knowledge. The followings were moderate (41%) and poor (41%). Most of the sample (60.75%) had consumption behavior at low risk. The following was at moderate risk (37.25%). Only 2% were at high risk. Among the sample, consumption behavior of health risk food were significantly different in years of study (F = 3.168, p = .024), daily food expenditure (F = 8.950, p <.001), and knowledge on health risk food (F = 37.856, p <.001), while no significant difference in consumption behavior of health risk food was found in those with a difference in gender, program of study, living place, and monthly income. Results indicate the importance of providing knowledge regarding health risk food for students and their parents in order to promote appropriate food consumption behavior among the students. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=food%20consumption" title="food consumption">food consumption</a>, <a href="https://publications.waset.org/abstracts/search?q=risky%20behavior" title=" risky behavior"> risky behavior</a>, <a href="https://publications.waset.org/abstracts/search?q=Suan%20Sunandha%20Rajabhat%20University" title=" Suan Sunandha Rajabhat University"> Suan Sunandha Rajabhat University</a>, <a href="https://publications.waset.org/abstracts/search?q=health%20risk" title=" health risk"> health risk</a> </p> <a href="https://publications.waset.org/abstracts/10816/unhealthy-food-consumption-behavior-in-suan-sunandha-rajabhat-universities" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10816.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">473</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">54375</span> Evaluation of Disease Risk Variables in the Control of Bovine Tuberculosis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Berrin%20%C5%9Eent%C3%BCrk">Berrin Şentürk</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, due to the recurrence of bovine tuberculosis, in the same areas, the risk factors for the disease were determined and evaluated at the local level. This study was carried out in 32 farms where the disease was detected in the district and center of Samsun province in 2014. Predetermined risk factors, such as farm, environmental and economic risks, were investigated with the survey method. It was predetermined that risks in the three groups are similar to the risk variables of the disease on the global scale. These risk factors that increase the susceptibility of the infection must be understood by the herd owners. The risk-based contagious disease management system approach should be applied for bovine tuberculosis by farmers, animal health professionals and public and private sector decision makers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bovine%20tuberculosis" title="bovine tuberculosis">bovine tuberculosis</a>, <a href="https://publications.waset.org/abstracts/search?q=disease%20management" title=" disease management"> disease management</a>, <a href="https://publications.waset.org/abstracts/search?q=control" title=" control"> control</a>, <a href="https://publications.waset.org/abstracts/search?q=outbreak" title=" outbreak"> outbreak</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20analysis" title=" risk analysis"> risk analysis</a> </p> <a href="https://publications.waset.org/abstracts/61078/evaluation-of-disease-risk-variables-in-the-control-of-bovine-tuberculosis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/61078.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">402</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">54374</span> Impact of Perceived Racial Discrimination on Health Risk Behaviors and Experiences of BIPOC Adolescents</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tya%20M.%20Arthur">Tya M. Arthur</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Purpose: BIPOC (Black, Indigenous, and People of Color) adolescents face racism and discrimination at a young age. These early experiences have short- and long-term impacts on their health and overall well-being. The purpose of this study was to determine the relationships between perceived racial discrimination at school and health risk behaviors and experiences of BIPOC adolescents. Methods: Data from the 2021 Adolescent Behaviors and Experiences Survey (ABES) were analyzed. All demographic data were summarized using frequencies and chi-squared tests. A univariate and multivariate logistic regression model was used to test the relationship between perceived racial discrimination and selected health risk factors. All analyses were conducted using STATA SE 18. Results: A total of 42.2% of the BIPOC adolescents in the study indicated being treated unfairly at school due to their race. The majority of those who reported being discriminated against were Black/African American or Multiple Race-Hispanic. Asian adolescents were almost 5 times more likely to face racial discrimination at school compared to their American Indian/Alaska Native counterparts (OR = 4.86, 95% CI [2.69-8.77], p < 0.001). Other risk predictors of racial discrimination included being female (OR = 1.38, 95% CI [1.13-1.68], p = 0.002) and feeling disconnected at school (OR = 1.76, 95% CI [1.30-2.38], p < 0.001). After adjustment for health risk behaviors and experiences, BIPOC adolescents were still more likely to face racial discrimination with even higher odds. Conclusions: The results of this study highlight the depth of racial discrimination faced by BIPOC adolescents at school. Greater attention should be placed on racial discrimination as a social determinant of health and a public health crisis. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=racial%20discrimination" title="racial discrimination">racial discrimination</a>, <a href="https://publications.waset.org/abstracts/search?q=adolescents" title=" adolescents"> adolescents</a>, <a href="https://publications.waset.org/abstracts/search?q=heath%20risk%20factors" title=" heath risk factors"> heath risk factors</a>, <a href="https://publications.waset.org/abstracts/search?q=BIPOC" title=" BIPOC"> BIPOC</a> </p> <a href="https://publications.waset.org/abstracts/169857/impact-of-perceived-racial-discrimination-on-health-risk-behaviors-and-experiences-of-bipoc-adolescents" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/169857.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">78</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">54373</span> Work-Related Risk Factors and Preventive Measures among Nurses and Dentists at Faculty of Oral and Dental Medicine</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Marwa%20Mamdouh%20Shaban">Marwa Mamdouh Shaban</a>, <a href="https://publications.waset.org/abstracts/search?q=Nagat%20Saied%20Habib"> Nagat Saied Habib</a>, <a href="https://publications.waset.org/abstracts/search?q=Shireen%20Ezz%20El-Din%20Taha"> Shireen Ezz El-Din Taha</a>, <a href="https://publications.waset.org/abstracts/search?q=Eman%20Mahmoud%20Seif%20El-Naser"> Eman Mahmoud Seif El-Naser</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Dental nurses and dentists were constantly exposed to a number of specific work related health risk factors which develop and intensify with years. Awareness regarding these work-related health risk factors and implementation of preventive health care measures could provide a safe work environment for all dental nurses and dentists. Aim of the study: to assess the work-related health risk factors among dental nurses and dentists and preventive health care measures applied among dental nurses and dentists. Research design: A descriptive design was utilized. Sample: Convenience sample of 50 dental nurses and 150 dentists were included in the current study. Setting: This study was conducted at the dental clinics at faculty of oral and dental medicine, Al-Kasr Al Ainy Hospital. Tools of data collection: Three tools were developed, tested for clarity, and feasibility: a-Socio-demographic data sheet, b-Work-related health risk factors questionnaire, and c-structured observational checklist. Results: The most common work risk factors prevailing among dental nurses were emotional exhaustion (82%), low back pain (76%) and latex allergy (62%) and the most common work risk factors prevailing among dentists were percutaneous exposure incident (100%), emotional exhaustion (100%) and low back pain (93.3%). Also, statistically significant negative correlation (r=-0.274, at p = 0.045) between the incidence of chemical health risk factors and application of chemical preventive measures among dental nurses. A statistically significant negative correlation (r=-0.177, at p = 0.030) between the incidences of mechanical health risk factors among dentists and application of mechanical preventive measures. Conclusion: The studied dental nurses and dentists exposed to many work related health risk factors as latex allergy, percutaneous exposure incidents, low back pain and emotional exhaustion related to inappropriate application of preventive health care measures. Recommendation: Raise awareness of dental nurses and dentists about work-related health risk factors, design and implement health education program for preventive health care measures. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=work-related%20risk%20factors" title="work-related risk factors">work-related risk factors</a>, <a href="https://publications.waset.org/abstracts/search?q=preventive%20measures" title=" preventive measures"> preventive measures</a>, <a href="https://publications.waset.org/abstracts/search?q=nurses" title=" nurses"> nurses</a>, <a href="https://publications.waset.org/abstracts/search?q=dentists" title=" dentists"> dentists</a> </p> <a href="https://publications.waset.org/abstracts/36842/work-related-risk-factors-and-preventive-measures-among-nurses-and-dentists-at-faculty-of-oral-and-dental-medicine" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/36842.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">401</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">54372</span> Mandatory Wellness Assessments for Medical Students at the University of Ottawa</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Haykal.%20Kay-Anne">Haykal. Kay-Anne</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The health and well-being of students is a priority for the Faculty of Medicine at the University of Ottawa. The demands of medical studies are extreme, and many studies confirm that the prevalence of psychological distress is very high among medical students and that it is higher than that of the general population of the same age. The main goal is to identify risk factors for mental health among medical students at the University of Ottawa. The secondary objectives are to determine the variation of these risk factors according to demographic variables, as well as to determine if there is a change in the mental health of students during the 1st and 3rd years of their study. Medical students have a mandatory first and third-year wellness check meeting. This assessment includes a questionnaire on demographic information, mental health, and risk factors such as physical health, sleep, social support, financial stress, education and career, stress and drug use and/or alcohol. Student responses were converted to numerical values and analyzed statistically. The results show that 61% of the variation in the mean of the mental health score is explained by the following risk factors (R2 = 0.61, F (9.396) = 67.197, p < 0.01): lack of sleep and fatigue (β = 0.281, p < 0.001), lack of social support (β = 0.217, p <0.001), poor study or career development (β = 0.195, p < 0.001) and an increase stress and drug and alcohol use (β = -0.239, p < 0.001). No demographic variable has a significant effect on the presence of risk factors. In addition, fixed-effects regression demonstrated significantly lower mental health (p < 0.1) among first-year students (M = 0.587, SD = 0.072) than among third-year students (M = 0.719, SD = 0.071). This preliminary study indicates the need to continue data collection and analysis to increase the significance of the study results. As risk factors are present at the beginning of medical studies, it is important to offer resources to students very early in their medical studies and to have close monitoring and supervision. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=assessment%20of%20mental%20health" title="assessment of mental health">assessment of mental health</a>, <a href="https://publications.waset.org/abstracts/search?q=medical%20students" title=" medical students"> medical students</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20factors%20for%20mental%20health" title=" risk factors for mental health"> risk factors for mental health</a>, <a href="https://publications.waset.org/abstracts/search?q=wellness%20assessment" title=" wellness assessment"> wellness assessment</a> </p> <a href="https://publications.waset.org/abstracts/123011/mandatory-wellness-assessments-for-medical-students-at-the-university-of-ottawa" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/123011.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">123</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">54371</span> Simplifying Health Risk Assessment (HRA) and Its Operationalisation for Turnaround Activities</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Thirumila%20Muthukamaru">Thirumila Muthukamaru</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The objective of a Health Risk Assessment (HRA) is to achieve a quality evaluation of risk assessments in a timely manner where adequate controls can be in place to protect workers health, especially during turnarounds where the exposure to health hazards is expected to rise during the performance of the many activities that take place, exposing workers to health risk. HRA development requires a competent team comprising experienced subject matter experts in the field, such as Industrial hygienists, Occupational Health Doctors, Turnaround Coordinators, Operation / Maintenance personnel, etc. The conventional way of conducting HRA is not only tedious and time-consuming but also less appreciated when it is not interpreted correctly, which may contribute to inadequate operationalization of it. Simplification can be the essence of timely intervention in managing health risks. This paper is intended as a sharing of the approach taken to simplify the methodology of developing the HRA report and operationalizing it. The approach includes developing a Generic HRA for turnaround activities to be used as a reference document and the empowerment of identified personnel through upskilling sessions to take up the role of facilitating HRA sessions. This empowerment is one of the key approaches towards the successful translation of the HRA into specific turnaround Job Hazard Analysis (JHA) that embed it in the Permit to Work (PTW) process. The approach used here increases awareness and compliance on HRA for turnaround activities through better interpretation and operationalization of the HRA report, adding value to the risk assessment for turnaround activities. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=industrial%20hygiene" title="industrial hygiene">industrial hygiene</a>, <a href="https://publications.waset.org/abstracts/search?q=health%20risk%20assessment" title=" health risk assessment"> health risk assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=HRA" title=" HRA"> HRA</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20assessment" title=" risk assessment"> risk assessment</a> </p> <a href="https://publications.waset.org/abstracts/182191/simplifying-health-risk-assessment-hra-and-its-operationalisation-for-turnaround-activities" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/182191.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">47</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">54370</span> Effect on Occupational Health Safety and Environment at Work from Metal Handicraft Using Rattanakosin Local Wisdom </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Witthaya%20Mekhum">Witthaya Mekhum</a>, <a href="https://publications.waset.org/abstracts/search?q=Waleerak%20Sittisom"> Waleerak Sittisom</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research investigated the effect on occupational health safety and environment at work from metal handicraft using Rattanakosin local wisdom focusing on pollution, accidents, and injuries from work. The sample group in this study included 48 metal handicraft workers in 5 communities by using questionnaires and interview to collect data. The evaluation form TISI 18001 was used to analyze job safety analysis (JSA). The results showed that risk at work reduced after applying the developed model. Banbu Community produces alloy bowl rubbed with stone. The high risk process is melting and hitting process. Before the application, the work risk was 82.71%. After the application of the developed model, the work risk was reduced to 50.61%. Banbart Community produces monk’s food bowl. The high risk process is blow pipe welding. Before the application, the work risk was 93.59%. After the application of the developed model, the work risk was reduced to 48.14%. Bannoen Community produces circle gong. The high risk process is milling process. Before the application, the work risk was 85.18%. After the application of the developed model, the work risk was reduced to 46.91%. Teethong Community produces gold leaf. The high risk process is hitting and spreading process. Before the application, the work risk was 86.42%. After the application of the developed model, the work risk was reduced to 64.19%. Ban Changthong Community produces gold ornament. The high risk process is gold melting process. Before the application, the work risk was 67.90%. After the application of the developed model, the work risk was reduced to 37.03%. It can be concluded that with the application of the developed model, the work risk of 5 communities was reduced in the 3 main groups: (1) Work illness reduced by 16.77%; (2) Pollution from work reduced by 10.31%; (3) Accidents and injuries from work reduced by 15.62%. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=occupational%20health" title="occupational health">occupational health</a>, <a href="https://publications.waset.org/abstracts/search?q=safety" title=" safety"> safety</a>, <a href="https://publications.waset.org/abstracts/search?q=local%20wisdom" title=" local wisdom"> local wisdom</a>, <a href="https://publications.waset.org/abstracts/search?q=Rattanakosin" title=" Rattanakosin"> Rattanakosin</a> </p> <a href="https://publications.waset.org/abstracts/6792/effect-on-occupational-health-safety-and-environment-at-work-from-metal-handicraft-using-rattanakosin-local-wisdom" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/6792.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">440</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">54369</span> Factors Associated with Self-Rated Health among Persons with Disabilities: A Korean National Survey</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Won-Seok%20Kim">Won-Seok Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Hyung-Ik%20Shin"> Hyung-Ik Shin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Self-rated health (SRH) is a subjective assessment of individual health and has been identified as a strong predictor for mortality and morbidity. However few studies have been directed to the factors associated with SRH in persons with disabilities (PWD). We used data of 7th Korean national survey for 5307 PWD in 2008. Multiple logistic regression analysis was performed to find out independent risk factors for poor SRH in PWD. As a result, indicators of physical condition (poor instrumental ADL), socioeconomic disadvantages (poor education, economically inactive, low self-rated social class, medicaid in health insurance, presence of unmet need for hospital use) and social participation and networks (no use of internet service) were selected as independent risk factors for poor SRH in final model. Findings in the present study would be helpful in making a program to promote the health and narrow the gap of health status between the PWD. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=disabilities" title="disabilities">disabilities</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20factors" title=" risk factors"> risk factors</a>, <a href="https://publications.waset.org/abstracts/search?q=self-rated%20health" title=" self-rated health"> self-rated health</a>, <a href="https://publications.waset.org/abstracts/search?q=socioeconomic%20disadvantages" title=" socioeconomic disadvantages"> socioeconomic disadvantages</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20networks" title=" social networks"> social networks</a> </p> <a href="https://publications.waset.org/abstracts/1293/factors-associated-with-self-rated-health-among-persons-with-disabilities-a-korean-national-survey" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/1293.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">395</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">54368</span> Health Risk Assessment According to Exposure with Heavy Metals and Physicochemical Parameters; Water Quality Index and Contamination Degree Evaluation in Bottled Water</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Samaneh%20Abolli">Samaneh Abolli</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahmood%20Alimohammadi"> Mahmood Alimohammadi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The survey analyzed 71 bottled water brands in Tehran, Iran, examining 10 physicochemical parameters and 16 heavy metals. The water quality index (WQI) approach was used to assess water quality, and methods such as carcinogen risk (CR) and hazard index (HI) were employed to evaluate health risks. The results indicated that the bottled water had good quality overall, but some brands were of poor or very poor quality. The study also revealed significant human health risks, especially for children, due to the presence of minerals and heavy metals in bottled water. Correlation analyses and risk assessments for various substances were conducted, providing valuable insights into the potential health impacts of the analyzed bottled water. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bottled%20wate" title="bottled wate">bottled wate</a>, <a href="https://publications.waset.org/abstracts/search?q=rwater%20quality%20index" title=" rwater quality index"> rwater quality index</a>, <a href="https://publications.waset.org/abstracts/search?q=health%20risk%20assessment" title=" health risk assessment"> health risk assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=contamination%20degree" title=" contamination degree"> contamination degree</a>, <a href="https://publications.waset.org/abstracts/search?q=heavy%20metal%20evaluation%20index" title=" heavy metal evaluation index"> heavy metal evaluation index</a> </p> <a href="https://publications.waset.org/abstracts/179970/health-risk-assessment-according-to-exposure-with-heavy-metals-and-physicochemical-parameters-water-quality-index-and-contamination-degree-evaluation-in-bottled-water" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/179970.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">53</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">54367</span> Total and Leachable Concentration of Trace Elements in Soil towards Human Health Risk, Related with Coal Mine in Jorong, South Kalimantan, Indonesia </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Arie%20Pujiwati">Arie Pujiwati</a>, <a href="https://publications.waset.org/abstracts/search?q=Kengo%20Nakamura"> Kengo Nakamura</a>, <a href="https://publications.waset.org/abstracts/search?q=Noriaki%20Watanabe"> Noriaki Watanabe</a>, <a href="https://publications.waset.org/abstracts/search?q=Takeshi%20Komai"> Takeshi Komai</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Coal mining is well known to cause considerable environmental impacts, including trace element contamination of soil. This study aimed to assess the trace element (As, Cd, Co, Cu, Ni, Pb, Sb, and Zn) contamination of soil in the vicinity of coal mining activities, using the case study of Asam-asam River basin, South Kalimantan, Indonesia, and to assess the human health risk, incorporating total and bioavailable (water-leachable and acid-leachable) concentrations. The results show the enrichment of As and Co in soil, surpassing the background soil value. Contamination was evaluated based on the index of geo-accumulation, <em>I<sub>geo</sub></em> and the pollution index, <em>PI</em>. <em>I<sub>geo</sub></em> values showed that the soil was generally uncontaminated (<em>I<sub>geo</sub></em> ≤ 0), except for elevated As and Co. Mean <em>PI</em> for Ni and Cu indicated slight contamination. Regarding the assessment of health risks, the Hazard Index, <em>HI</em> showed adverse risks (<em>HI</em> > 1) for Ni, Co, and As. Further, Ni and As were found to pose unacceptable carcinogenic risk (<em>risk</em> > 1.10<sup>-5</sup>). Farming, settlement, and plantation were found to present greater risk than coal mines. These results show that coal mining activity in the study area contaminates the soils by particular elements and may pose potential human health risk in its surrounding area. This study is important for setting appropriate countermeasure actions and improving basic coal mining management in Indonesia. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=coal%20mine" title="coal mine">coal mine</a>, <a href="https://publications.waset.org/abstracts/search?q=risk" title=" risk"> risk</a>, <a href="https://publications.waset.org/abstracts/search?q=trace%20elements" title=" trace elements"> trace elements</a>, <a href="https://publications.waset.org/abstracts/search?q=soil" title=" soil"> soil</a> </p> <a href="https://publications.waset.org/abstracts/72852/total-and-leachable-concentration-of-trace-elements-in-soil-towards-human-health-risk-related-with-coal-mine-in-jorong-south-kalimantan-indonesia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/72852.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">261</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">54366</span> Environmental Pollution and Health Risks of Residents Living near Ewekoro Cement Factory, Ewekoro, Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Michael%20Ajide%20Oyinloye">Michael Ajide Oyinloye</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The natural environment is made up of air, water and soil. The release of emission of industrial waste into anyone of the components of the environment causes pollution. Industrial pollution significantly threatens the inherent right of people, to the enjoyment of a safe and secure environment. The aim of this paper is to assess the effect of environmental pollution and health risks of residents living near Ewekoro Cement factory. The research made use of IKONOS imagery for Geographical Information System (GIS) to buffer and extract buildings that are less than 1 km to the plant, within 1 km to 5 km and above 5 km to the factory. Also, a questionnaire was used to elicit information on the socio-economic factors, the effect of environmental pollution on residents and measures adopted to control industrial pollution on the residents. Findings show that most buildings that between less than 1 km and 1 km to 5 km to the factory have high health risk in the study area. The study recommended total relocation for the residents of the study area to reduce risk health problems. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=environmental%20pollution" title="environmental pollution">environmental pollution</a>, <a href="https://publications.waset.org/abstracts/search?q=health%20risk" title=" health risk"> health risk</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS" title=" GIS"> GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=satellite%20imagery" title=" satellite imagery"> satellite imagery</a>, <a href="https://publications.waset.org/abstracts/search?q=ewekoro" title=" ewekoro"> ewekoro</a> </p> <a href="https://publications.waset.org/abstracts/22574/environmental-pollution-and-health-risks-of-residents-living-near-ewekoro-cement-factory-ewekoro-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22574.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">544</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">54365</span> An Occupational Health Risk Assessment for Exposure to Benzene, Toluene, Ethylbenzene and Xylenes: A Case Study of Informal Traders in a Metro Centre (Taxi Rank) in South Africa</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Makhosazana%20Dubazana">Makhosazana Dubazana</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Many South Africans commuters use minibus taxis daily and are connected to the informal transport network through metro centres informally known as Taxi Ranks. Taxi ranks form part of an economic nexus for many informal traders, connecting them to commuters, their prime clientele. They work along designated areas along the periphery of the taxi rank and in between taxi lanes. Informal traders are therefore at risk of adverse health effects associated with the inhalation of exhaust fumes from minibus taxis. Of the exhaust emissions, benzene, toluene, ethylbenzene and xylenes (BTEX) have high toxicity. Purpose: The purpose of this study was to conduct a Human Health Risk Assessment for informal traders, looking at their exposure to BTEX compounds. Methods: The study was conducted in a subsection of a taxi rank which is representative of the entire taxi rank. This subsection has a daily average of 400 minibus taxi moving through it and an average of 60 informal traders working in it. In the health risk assessment, a questionnaire was conducted to understand the occupational behaviour of the informal traders. This was used to deduce the exposure scenarios and sampling locations. Three sampling campaigns were run for an average of 10 hours each covering the average working hours of traders. A gas chronographer was used for collecting continues ambient air samples at 15 min intervals. Results: Over the three sampling days, the average concentrations were, 8.46ppb, 0.63 ppb, 1.27ppb and 1.0ppb for benzene, toluene, ethylbenzene, and xylene respectively. The average cancer risk is 9.46E-03. In several cases, they were incidences of unacceptable risk for the cumulative exposure of all four BTEX compounds. Conclusion: This study adds to the body of knowledge on the Human Health Risk effects of urban BTEX pollution, furthermore focusing on the impact of urban BTEX on high risk personal such as informal traders, in Southern Africa. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=human%20health%20risk%20assessment" title="human health risk assessment">human health risk assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=informal%20traders" title=" informal traders"> informal traders</a>, <a href="https://publications.waset.org/abstracts/search?q=occupational%20risk" title=" occupational risk"> occupational risk</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20BTEX" title=" urban BTEX"> urban BTEX</a> </p> <a href="https://publications.waset.org/abstracts/85643/an-occupational-health-risk-assessment-for-exposure-to-benzene-toluene-ethylbenzene-and-xylenes-a-case-study-of-informal-traders-in-a-metro-centre-taxi-rank-in-south-africa" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/85643.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">232</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">54364</span> Shades of Violence – Risks of Male Violence Exposure for Mental and Somatic-Disorders and Risk-Taking Behavior: A Prevalence Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dana%20Cassandra%20Winkler">Dana Cassandra Winkler</a>, <a href="https://publications.waset.org/abstracts/search?q=Delia%20Leiding"> Delia Leiding</a>, <a href="https://publications.waset.org/abstracts/search?q=Rene%20Bergs"> Rene Bergs</a>, <a href="https://publications.waset.org/abstracts/search?q=Franziska%20Kaiser"> Franziska Kaiser</a>, <a href="https://publications.waset.org/abstracts/search?q=Ramona%20Kirchhart"> Ramona Kirchhart</a>, <a href="https://publications.waset.org/abstracts/search?q=Ute%20Habel"> Ute Habel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Violence is a multidimensional phenomenon, affecting people of every age, socio-economic status and gender. Nevertheless, most studies primarily focus on men perpetrating women. Aim of the present study is to identify the likelihood of mental and somatic disorders and risk-taking behavior in male violence affected. In addition, the relationship between age of violence experience and the risk for health-related problems was analyzed. Method: On the basis of current evidence, a questionnaire was developed focusing on demographic background, health status, risk-taking behavior, and active and passive violence exposure. In total, 5221 males (Mean: 56,1 years, SD: 17,6) were consulted. To account for the time of violence experience in an efficient way, age clusters ‘0-12 years’, ‘13-20 years’, ‘21-35 years’, ‘36-65 years’ and ‘over 65 years’ were defined. A binary logistic regression was calculated to reveal differences in violence-affected and non-violence affected males regarding health and risk-taking factors. Males who experienced violence on a daily/ almost daily basis vs. males who reported violence occurrence once/ several times a month/ year were compared with respect to health factors and risk-taking behavior. Data of males, who indicated active and passive violence exposure, were analyzed by a chi²-analysis, to investigate a possible relation between the age of victimization and violence perpetration. Findings: Results imply that general violence experience, independent of active and passive violence exposure increases the likelihood in favor of somatic-, psychosomatic- and mental disorders as well as risk-taking behavior in males. Experiencing violence on a daily or almost daily basis in childhood and adolescence may serve as a predictor for increased health problems and risk-taking behavior. Furthermore, the violence experience and perpetration occur significantly within the same age cluster. This underlines the importance of a near-term intervention to minimize the risk, that victims become perpetrators later. Conclusion: The present study reveals predictors concerning health risk factors as well as risk-taking behavior in males with violence exposure. The results of this study may underscore the benefit of intervention and regular health care approaches in violence-affected males and underline the importance of acknowledging the overlap of violence experience and perpetration for further research. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=health%20disease" title="health disease">health disease</a>, <a href="https://publications.waset.org/abstracts/search?q=male" title=" male"> male</a>, <a href="https://publications.waset.org/abstracts/search?q=mental%20health" title=" mental health"> mental health</a>, <a href="https://publications.waset.org/abstracts/search?q=prevalence" title=" prevalence"> prevalence</a>, <a href="https://publications.waset.org/abstracts/search?q=risk-taking%20behavior" title=" risk-taking behavior"> risk-taking behavior</a>, <a href="https://publications.waset.org/abstracts/search?q=violence" title=" violence"> violence</a> </p> <a href="https://publications.waset.org/abstracts/98365/shades-of-violence-risks-of-male-violence-exposure-for-mental-and-somatic-disorders-and-risk-taking-behavior-a-prevalence-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/98365.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">212</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">54363</span> Comparison of Food Products Contaminated by DDTs in South Africa and Mozambique</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lesa%20A.%20Thompson">Lesa A. Thompson</a>, <a href="https://publications.waset.org/abstracts/search?q=Yoshinori%20Ikenaka"> Yoshinori Ikenaka</a>, <a href="https://publications.waset.org/abstracts/search?q=Victor%20Wepener"> Victor Wepener</a>, <a href="https://publications.waset.org/abstracts/search?q=Mayumi%20Ishizuka"> Mayumi Ishizuka</a> </p> <p class="card-text"><strong>Abstract:</strong></p> One method for controlling malaria in endemic regions is the killing of vector mosquitoes using pesticides such as DDT in indoor residual spraying (IRS). This study was carried out to investigate the presence of and human health risk due to DDT and its metabolites (collectively, DDTs) contaminating human food sources in areas where DDT is used for IRS. Free-range chicken products (meat and eggs) were collected from homesteads in KwaZulu-Natal Province in the northeast of South Africa, and fish meat samples from Maputo Bay in neighbouring Mozambique. Samples were analysed for DDTs (o,p’-DDT, p,p’-DDT, o,p’-DDD, p,p’-DDD, o,p’-DDE and p,p’-DDE) using a gas chromatograph with electron capture detector (GC-ECD). DDTs were detected in all food types, with the predominant congener being p,p’-DDE. The presence of p,p’-DDT confirmed recent release of DDT into the environment. By using concentration levels detected in foods and national consumption levels, the risk to human health through consumption of such food products was calculated. In order of risk level, these were: chicken eggs > chicken meat > fish meat. Human risk (carcinogenic) values greater than one suggest there is an increased health risk through consumption of these foods. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=DDT" title="DDT">DDT</a>, <a href="https://publications.waset.org/abstracts/search?q=food%20contamination" title=" food contamination"> food contamination</a>, <a href="https://publications.waset.org/abstracts/search?q=human%20health%20risk" title=" human health risk"> human health risk</a>, <a href="https://publications.waset.org/abstracts/search?q=Mozambique" title=" Mozambique"> Mozambique</a>, <a href="https://publications.waset.org/abstracts/search?q=South%20Africa" title=" South Africa"> South Africa</a> </p> <a href="https://publications.waset.org/abstracts/70162/comparison-of-food-products-contaminated-by-ddts-in-south-africa-and-mozambique" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/70162.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">342</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">54362</span> Relationship between Mental Health and Food Access among Healthcare College Students in a Snowy Area in Japan</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yuki%20Irie">Yuki Irie</a>, <a href="https://publications.waset.org/abstracts/search?q=Shota%20Ogawa"> Shota Ogawa</a>, <a href="https://publications.waset.org/abstracts/search?q=Hitomi%20Kosugi"> Hitomi Kosugi</a>, <a href="https://publications.waset.org/abstracts/search?q=Hiromitsu%20Shinozaki"> Hiromitsu Shinozaki</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Dropout from higher educational institutions is a major problem both for students and institutions, and poor mental health is one of the risk factors. Medical college students are at higher risk of poor mental health than general students because of their hard academic schedules. On the other hand, food insecurity has negative impacts on mental health. The healthcare college of the project site is located heavily snowy area. The students without own vehicles may be at higher risk of food insecurity, especially in the winter season. Therefore, they have many risks to mental health. The aim of the study is to clarify the relationship between mental health and its risk factors to promote students’ mental well-being. Method: A cross-sectional design was used to investigate the relationship between mental health status and lifestyle, including diet and food security among the students (n=421, 147 male, 274 females; 20.7 ± 2.8 years old). Participants were required to answer 3 questionnaires which consisted of diet, lifestyle, food security, and mental health. The survey was conducted during the snowy season from Dec. 2022 to Jan. 2023. Results: Mean mental score was 6.7±4.6 (max. score 27, a higher score means worse mental health). Significant risk factors in mental health were breakfast habit (p=0.02), subjective dietary habit (p=0.00), subjective health (p=0.00), exercise habit (p=0.02), food insecurity in the winter season (p=0.01), and vitamin A intakes (p=0.03). Conclusions: Nutrients intakes are not associated with mental health except vitamin A; however, some other lifestyle factors are significantly associated with mental health. Nutrition doesn’t lead to poor mental health directly; however, the promotion of a healthy lifestyle and improved food security in winter may be effective in better mental health. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mental%20health" title="mental health">mental health</a>, <a href="https://publications.waset.org/abstracts/search?q=winter" title=" winter"> winter</a>, <a href="https://publications.waset.org/abstracts/search?q=lifestyle" title=" lifestyle"> lifestyle</a>, <a href="https://publications.waset.org/abstracts/search?q=students" title=" students"> students</a> </p> <a href="https://publications.waset.org/abstracts/165214/relationship-between-mental-health-and-food-access-among-healthcare-college-students-in-a-snowy-area-in-japan" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/165214.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">92</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">54361</span> Health Risk Assessment of Heavy Metals in Clarias gariepinus (Burchell, 1822) from Fish Mongers within Akure Metropolis, Ondo State, Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=O.%20O.%20Olawusi-Peters">O. O. Olawusi-Peters</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20I.%20Adejugbagbe"> K. I. Adejugbagbe</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The concentration of heavy metal (Cd, Pb, Fe, Zn, Cu) in Clarias gariepinus collected from fish markets; Fanibi (Station I) and Fiwasaye (Station II) in Akure metropolis, Ondo state, Nigeria were investigated to ascertain the safety for the consumers. 60 samples were collected from the two markets in three batches (I, II, III) for a period of six months and analyzed for heavy metals in the gills and muscles of the fish. Also, the Health Risk Index (HRI) was used to determine the health risk of these metals to the consumer. The results showed that the investigated metal concentration was higher in station I than station II, except Pb having higher concentration in station II than station I. In both stations, the highest concentration of Fe was recorded in the gills (12.60 ± 1.51; 6.94 ± 1.38) and muscles (3.72 ± 0.09; 3.86 ± 0.33) of samples in batch I. Also, the HRI revealed that consumption of <em>Clarias gariepinus</em> from these study areas did not pose any health risk (HRI < 1). In addition, concentrations of the heavy metals were all below the permissible limits recommended by FAO/WHO. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=health%20risk%20index" title="health risk index">health risk index</a>, <a href="https://publications.waset.org/abstracts/search?q=heavy%20metals" title=" heavy metals"> heavy metals</a>, <a href="https://publications.waset.org/abstracts/search?q=clarias%20gariepinus" title=" clarias gariepinus"> clarias gariepinus</a>, <a href="https://publications.waset.org/abstracts/search?q=akure%20metropolis" title=" akure metropolis"> akure metropolis</a>, <a href="https://publications.waset.org/abstracts/search?q=fish%20monger" title=" fish monger"> fish monger</a> </p> <a href="https://publications.waset.org/abstracts/109992/health-risk-assessment-of-heavy-metals-in-clarias-gariepinus-burchell-1822-from-fish-mongers-within-akure-metropolis-ondo-state-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/109992.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">147</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">54360</span> A Deep-Learning Based Prediction of Pancreatic Adenocarcinoma with Electronic Health Records from the State of Maine</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Xiaodong%20Li">Xiaodong Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Peng%20Gao"> Peng Gao</a>, <a href="https://publications.waset.org/abstracts/search?q=Chao-Jung%20Huang"> Chao-Jung Huang</a>, <a href="https://publications.waset.org/abstracts/search?q=Shiying%20Hao"> Shiying Hao</a>, <a href="https://publications.waset.org/abstracts/search?q=Xuefeng%20B.%20Ling"> Xuefeng B. Ling</a>, <a href="https://publications.waset.org/abstracts/search?q=Yongxia%20Han">Yongxia Han</a>, <a href="https://publications.waset.org/abstracts/search?q=Yaqi%20Zhang"> Yaqi Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Le%20Zheng"> Le Zheng</a>, <a href="https://publications.waset.org/abstracts/search?q=Chengyin%20Ye"> Chengyin Ye</a>, <a href="https://publications.waset.org/abstracts/search?q=Modi%20Liu"> Modi Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Minjie%20Xia"> Minjie Xia</a>, <a href="https://publications.waset.org/abstracts/search?q=Changlin%20Fu"> Changlin Fu</a>, <a href="https://publications.waset.org/abstracts/search?q=Bo%20Jin"> Bo Jin</a>, <a href="https://publications.waset.org/abstracts/search?q=Karl%20G.%20Sylvester"> Karl G. Sylvester</a>, <a href="https://publications.waset.org/abstracts/search?q=Eric%20Widen"> Eric Widen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Predicting the risk of Pancreatic Adenocarcinoma (PA) in advance can benefit the quality of care and potentially reduce population mortality and morbidity. The aim of this study was to develop and prospectively validate a risk prediction model to identify patients at risk of new incident PA as early as 3 months before the onset of PA in a statewide, general population in Maine. The PA prediction model was developed using Deep Neural Networks, a deep learning algorithm, with a 2-year electronic-health-record (EHR) cohort. Prospective results showed that our model identified 54.35% of all inpatient episodes of PA, and 91.20% of all PA that required subsequent chemoradiotherapy, with a lead-time of up to 3 months and a true alert of 67.62%. The risk assessment tool has attained an improved discriminative ability. It can be immediately deployed to the health system to provide automatic early warnings to adults at risk of PA. It has potential to identify personalized risk factors to facilitate customized PA interventions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cancer%20prediction" title="cancer prediction">cancer prediction</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title=" deep learning"> deep learning</a>, <a href="https://publications.waset.org/abstracts/search?q=electronic%20health%20records" title=" electronic health records"> electronic health records</a>, <a href="https://publications.waset.org/abstracts/search?q=pancreatic%20adenocarcinoma" title=" pancreatic adenocarcinoma"> pancreatic adenocarcinoma</a> </p> <a href="https://publications.waset.org/abstracts/129535/a-deep-learning-based-prediction-of-pancreatic-adenocarcinoma-with-electronic-health-records-from-the-state-of-maine" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/129535.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">155</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">54359</span> Rethinking the Air Quality Health Index: Harmonizing Health Protection and Climate Mitigation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kimberly%20Tasha%20Jiayi%20Tang">Kimberly Tasha Jiayi Tang</a>, <a href="https://publications.waset.org/abstracts/search?q=Changqing%20Lin"> Changqing Lin</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhe%20Wang"> Zhe Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Tze-Wai%20Wong"> Tze-Wai Wong</a>, <a href="https://publications.waset.org/abstracts/search?q=Md.%20Shakhaoat%20Hossain"> Md. Shakhaoat Hossain</a>, <a href="https://publications.waset.org/abstracts/search?q=Jian%20Yu"> Jian Yu</a>, <a href="https://publications.waset.org/abstracts/search?q=Alexis%20Lau"> Alexis Lau</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Hong Kong has practiced a risk-based Air Quality Health Index (AQHI) system that sums hospitalization risks associated with short-term exposure to air pollu-tants. As an air pollution risk communication tool, it informs the public about the current air quality, anchoring around the World Health Organization's (WHO) 2005 Air Quality Guidelines (AQGs). Given the WHO's recent update in 2021, assessing how Hong Kong’s air quality risk communication can be en-hanced using these updated guidelines is essential. Hong Kong’s AQHI is lim-ited by solely focusing on short-term health risks, which could lead the public to underestimate cumulative health impacts. Therefore, we propose the intro-duction of a composite AQHI that reports both long-term and short-term health risks. Additionally, the WHO interim targets will be considered as anchor points for various health risk categories. Furthermore, with the increasing ozone levels in Hong Kong and Southern China due to improved NOx mitigation measures, it has been a challenging task in balancing health protection against climate mitigation. However, our findings present a promising outlook. Despite the rise in ozone levels, the combined health risks in Hong Kong and Guang-dong have seen a decline, largely due to reductions in NO2 and PM concentra-tions, both having significant health implications. By shifting from a concentra-tion-based approach to a health risk-based system like the AQHI, our study highlights the prospective of harmonizing health protection and climate mitiga-tion goals. This health-focused framework suggests that rigorous NOx controls can effective-ly serve both objectives in parallel. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=air%20quality%20management" title="air quality management">air quality management</a>, <a href="https://publications.waset.org/abstracts/search?q=air%20quality%20health%20index" title=" air quality health index"> air quality health index</a>, <a href="https://publications.waset.org/abstracts/search?q=health%20risk%20management" title=" health risk management"> health risk management</a>, <a href="https://publications.waset.org/abstracts/search?q=air%20pollution" title=" air pollution"> air pollution</a> </p> <a href="https://publications.waset.org/abstracts/176610/rethinking-the-air-quality-health-index-harmonizing-health-protection-and-climate-mitigation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/176610.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">72</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">54358</span> Understanding Narrative Transformations of Ebola in Negotiations of Epidemic Risk</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=N.%20W.%20Paul">N. W. Paul</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Banerjee"> M. Banerjee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Discussing the nexus between global health policy and local practices, this article addresses the recent Ebola outbreak as a role model for narrative co-constructions of epidemic risk. We will demonstrate in how far a theory-driven and methodologically rooted analysis of narrativity can help to improve mechanisms of prevention and intervention whenever epidemic risk needs to be addressed locally in order to contribute to global health. Analyzing the narrative transformation of Ebola, we will also address issues of transcultural problem-solving and of normative questions at stake. In this regard, we seek to contribute to a better understanding of a key question of global health and justice as well as to the underlying ethical questions. By highlighting and analyzing the functions of narratives, this paper provides a translational approach to refine our practices by which we address epidemic risk, be it on the national, the transnational or the global scale. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ebola" title="ebola">ebola</a>, <a href="https://publications.waset.org/abstracts/search?q=epidemic%20risk" title=" epidemic risk"> epidemic risk</a>, <a href="https://publications.waset.org/abstracts/search?q=medical%20ethics" title=" medical ethics"> medical ethics</a>, <a href="https://publications.waset.org/abstracts/search?q=medical%20humanities" title=" medical humanities"> medical humanities</a> </p> <a href="https://publications.waset.org/abstracts/39538/understanding-narrative-transformations-of-ebola-in-negotiations-of-epidemic-risk" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/39538.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">450</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=health%20risk%20study&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=health%20risk%20study&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=health%20risk%20study&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=health%20risk%20study&page=5">5</a></li> <li class="page-item"><a class="page-link" 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