Nowrouzi-Kia, Behdin;Li, Anson K.C.;Nguyen, Christine;Casole, Jennifer
Safety and Health at Work
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v.9
no.2
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pp.144-148
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2018
Background: The objective of this study is to find temporal trends in the associations between cardiovascular disease and occupational risk factors in the context of the Canadian population. Methods: Population data were analyzed from the Canadian Community Health Survey (CCHS) collected between 2001 and 2014 for trends over time between heart disease and various occupational risk factors: hours worked, physical exertion at work, and occupation type (management/arts/education, business/finance, sales/services, trades/transportations, and primary industry/processing). Results: We found no significant difference in the average number of hours worked/wk between individuals who report having heart disease in all years of data except in 2011 ($F_{1,96}=7.02$, p = 0.009) and 2012 ($F_{1,96}=8.86$, p = 0.004). We also found a significant difference in the degree of physical exertion at work in 2001 ($F_{1,79}=7.45$, p = 0.008). There were statistically significant results of occupation type on self-reported heart disease from 2003 to 2014. Conclusion: Canadian data from the CCHS do not exhibit a trend toward an association between heart disease and the number of hours worked/wk. There is an association between heart disease and physical exertion at work, but the trend is inconsistent. The data indicate a trend toward an association between heart disease and occupation type, but further analysis is required to determine which occupation type may be associated with heart disease.
Bonneterre, Vincent;Bicout, Dominique Joseph;De Gaudemaris, Regis
Safety and Health at Work
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v.3
no.2
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pp.92-100
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2012
Objectives: The French National Occupational Diseases Surveillance and Prevention Network (RNV3P) is a French network of occupational disease specialists, which collects, in standardised coded reports, all cases where a physician of any specialty, referred a patient to a university occupational disease centre, to establish the relation between the disease observed and occupational exposures, independently of statutory considerations related to compensation. The objective is to compare the relevance of disproportionality measures, widely used in pharmacovigilance, for the detection of potentially new disease ${\times}$ exposure associations in RNV3P database (by analogy with the detection of potentially new health event ${\times}$ drug associations in the spontaneous reporting databases from pharmacovigilance). Methods: 2001-2009 data from RNV3P are used (81,132 observations leading to 11,627 disease ${\times}$ exposure associations). The structure of RNV3P database is compared with the ones of pharmacovigilance databases. Seven disproportionality metrics are tested and their results, notably in terms of ranking the disease ${\times}$ exposure associations, are compared. Results: RNV3P and pharmacovigilance databases showed similar structure. Frequentist methods (proportional reporting ratio [PRR], reporting odds ratio [ROR]) and a Bayesian one (known as BCPNN for "Bayesian Confidence Propagation Neural Network") show a rather similar behaviour on our data, conversely to other methods (as Poisson). Finally the PRR method was chosen, because more complex methods did not show a greater value with the RNV3P data. Accordingly, a procedure for detecting signals with PRR method, automatic triage for exclusion of associations already known, and then investigating these signals is suggested. Conclusion: This procedure may be seen as a first step of hypothesis generation before launching epidemiological and/or experimental studies.
International Journal of Advanced Culture Technology
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v.8
no.4
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pp.167-176
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2020
Recommendation Systems is the top requirements for many people and researchers for the need required by them with the proper suggestion with their personal indeed, sorting and suggesting doctor to the patient. Most of the rating prediction in recommendation systems are based on patient's feedback with their information regarding their treatment. Patient's preferences will be based on the historical behaviour of similar patients. The similarity between the patients is generally measured by the patient's feedback with the information about the doctor with the treatment methods with their success rate. This paper presents a new method of predicting Top Ranked Doctor's in recommendation systems. The proposed Recommendation system starts by identifying the similar doctor based on the patients' health requirements and cluster them using K-Means Efficient Clustering. Our proposed K-Means Clustering with Content Based Doctor Recommendation for Cancer (KMC-CBD) helps users to find an optimal solution. The core component of KMC-CBD Recommended system suggests patients with top recommended doctors similar to the other patients who already treated with that doctor and supports the choice of the doctor and the hospital for the patient requirements and their health condition. The recommendation System first computes K-Means Clustering is an unsupervised learning among Doctors according to their profile and list the Doctors according to their Medical profile. Then the Content based doctor recommendation System generates a Top rated list of doctors for the given patient profile by exploiting health data shared by the crowd internet community. Patients can find the most similar patients, so that they can analyze how they are treated for the similar diseases, and they can send and receive suggestions to solve their health issues. In order to the improve Recommendation system efficiency, the patient can express their health information by a natural-language sentence. The Recommendation system analyze and identifies the most relevant medical area for that specific case and uses this information for the recommendation task. Provided by users as well as the recommended system to suggest the right doctors for a specific health problem. Our proposed system is implemented in Python with necessary functions and dataset.
Leachate is a result of the percolation of precipitation, uncontrolled runoff, and irrigation water into the landfill and can also include water initially contained in the waste as well as infiltrating groundwater. Behaviour of leachate by rainfall was studied to evaluate the variation of leachate generation and contaminants by rainfall in Sudokwon Landfill from January 1998 to October 1998. The quantity of leachate generated was measured with a flow meter, and the concentrations $BOD_5$, CODcr, T-N, $NE_3-N$, SS of leachate were also measured. Principal outcome obtained in this study are as follows : the quantity of leachate generated was the highest on August, the highest leachate generation volume in this period was 11,913㎥ and the lowest was $6,261m^3$. Although the similar amount of precipitation of 80mm applied to the two samples, there were difference in leachate generation due to precipitation duration, precipitation frequency, wet condition of solid wastes. As the result of regression analysis, the correlation coefficients(r) between the quantity of leachate generated and precipitation were 0.823, 0.976 between $BOD_5$ and CODcr, 0.992 between T-N and $NE_3-N$. As the quantity of leachate generated increased 48%, the concentration of $BOD_5$ and CODcr decreased 51% and 50% respectively. Therefore it was showed that the pollutant concentrations in leachate were diluted by precipitation. The concentrations of $BOD_5$ and COBcr in the rainy season were 2000~4000mg/1, 4000~6000mg/1 respectively, and 1000~3000 mg/1, 3000~5000 mg/l in the dry season. The loading of SS, $BOD_5$, CODcr(kg/month) on July was increased by 2.9 times, 2.8 times, 2.2 times with a basis on March. Therefore countermeasure of treatment facilities according to increase of loading by rainfall in summer is necessary.
This study aimed to assess body features, and alimentary and lifestyle behavior related to cancer prevention among Romanian adults having relatives with cancer. The study was performed in 2010/2011 in an oncological hospital in Cluj-Napoca, Romania. It involved 320 adults who had relatives with cancer. An anonymous questionnaire was filled in by each participants; their weights and heights were measured and body mass index (BMI) was calculated, 56.6% of the participants having a value higher than 24.9. Almost all subjects ate less than 400g of fruits and vegetables daily and 56% of the participants consumed more than 500 g of red meat weekly. One quarter of the study sample was performing less than 30 minutes of moderate physical activity daily. Some 28.1% of the subjects were smokers. These data call for comprehensive actions to help Romanian cancer patient relatives to respect the recommendations regarding healthy lifestyle promotion and cancer prevention. Health professionals should periodically assess body composition and lifestyle components of adults who have relatives with cancer in order to identify unhealthy behavior and offer them personalized education and counseling.
Proceedings of The Korean Society of Health Promotion Conference
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2004.10a
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pp.111-129
/
2004
This paper develops the argument that the 'Healthy Cities Approach' extends beyond the boundaries of officially designated Healthy Cities and suggests that signs of it are evident much more widely in efforts to promote health in the United Kingdom and in national policy. It draws on examples from Leeds, a major city in the north of England. In particular, it suggests that efforts to improve population health need to focus on the wider determinants and that this requires a collaborative response involving a range of different sectors and the participation of the community. Inequality is recognised as a major issue and the need to identify areas of deprivation and direct resources towards these is emphasised. Childhood poverty is referred to and the importance of breaking cycles of deprivation. The role of the school is seen as important in contributing to health generally and the compatibility between Healthy Cities and Health Promoting Schools is noted. Not only can Health Promoting Schools improve the health of young people themselves they can also develop the skills, awareness and motivation to improve the health of the community. Using child pedestrian injury as an example, the paper argues that problems and their cause should not be conceived narrowly. The Healthy Cities movement has taught us that the response, if it is to be effective, should focus on the wider determinants and be adapted to local circumstances. Instead of simply attempting to change behaviour through traditional health education we need to ensure that the environment is healthy in itself and supports healthy behaviour. To achieve this we need to develop awareness, skills and motivation among policy makers, professionals and the community. The 'New Health' education is proposed as a term to distinguish the type of health education which addresses these issues from more traditional forms.
Journal of the Korea Academia-Industrial cooperation Society
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v.14
no.6
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pp.2795-2801
/
2013
It is judged that there has to be study on bad quality of sleep along with state which university students undergo because of anxiety of finding employment and uncertain future. So 272 students' life style were measured. This study is based on Alameda 7. Also PSQI questionnaire was used to measure the quality of sleep. The results were that in the case of smoking, PSQI was 6.97, drinking 6.49, drinking coffee 7.53, nutritive conditions 6.49 and napping 6.25. These results show that smoking, drinking, drinking coffee, state of supplying nutritions and napping lower quality of sleep. Lastly, health education has to strive for promotion of university students' health and enrich quality of sleep allowing students to lead their healthy university lives.
Objectives: This study identified the factors associated with successful smoking cessation for 6 months at a smoking-cessation clinic of a public health center in an urban area. Methods: The subjects of this study were 670 visitors to the smoking cessation clinic of Dongjak-Gu public health center in Seoul, from September 6, 2005 to March 24, 2006. The 274 visitors of them responded to the questionnaire with registration, which contained the information related to the study except that of registered card for the clinic. A dependent variable was success or failure in smoking cessation during the 6 month-smoking cessation program, measured the status of smoking cessation in each week by self-report. Independent variable included demographic information, the characteristics in using the clinic, health status and smoking related behaviour, exposure to other smokers in daily life and motivation. Multiple logistic regression model was used to find the factors associated with success of smoking cessation. Results: The success rate in smoking cessation for 6 months was 33.6%. Five pretreatment characteristics were identified as univariate predictors of continuous abstinence. Finally, age, job, and practice oriented motivation were associated significantly with the success of smoking cessation for 6 months from a multiple logistic regression analysis. The lower socio-economic smokers such as people having lower literacy level, lower income people, unskilled workers, and recipients by Medical Assistant Program were more likely to fail in continuous abstinence for 6 months. Conclusions: In order to increase the success rate in smoking cessation clinics of public centers, counselors should activate self confidence and practice oriented motivation of participants for smoking cessation.
Social and behavioral scientists have proposed that a person's belief system crucially influences his or her behaviour, and therefore may affect outcomes of pain management. The purpose of this study was to explore the relationship between analgesic beliefs, analgesic adherence and pain experience amongst Taiwanese cancer outpatients. The cross-sectional study included 92 oncology outpatients in two teaching hospitals in the Taipei area of Taiwan. The research instruments included the Pain Opioid Analgesic Beliefs Scale-Cancer (POABS-CA), opioid adherence, and the Brief Pain Inventory-Chinese (BPI-Chinese). Beliefs about pain and opioids demonstrated a significant relationship with patients' opioid adherence (r = -0.30, p < 0.01). The more negative beliefs regarding opioids and pain the patient had, the worse their adherence to around the clock (ATC) analgesic regimen. However, there was no significant correlation between opioid belief and pain experience. As well, there were no significant relationships between adherence to opioid regimen and any of the measures of pain experience. The study highlights the potential importance of a patient's pain and opioid beliefs in adherence to pain medication.
Seegel, Max Leonhard;Herr, Raphael M.;Schneider, Michael;Schmidt, Burkhard;Fischer, Joachim E.
Journal of Preventive Medicine and Public Health
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v.52
no.3
/
pp.161-169
/
2019
Objectives: The objective of the present study was to validate a shortened transformational leadership (TL) scale (12 items) comprising core TL behaviour and to test the associations of this shortened TL scale with depressive symptoms. Methods: The study used cross-sectional data from 1632 employees of the overall workforce of a middle-sized German company (51.6% men; mean age, 41.35 years; standard deviation, 9.4 years). TL was assessed with the German version of the Transformational Leadership Inventory and depressive symptoms with the Hospital Anxiety and Depression Scale (HADS). The structural validity of the core TL scale was assessed with confirmatory factor analysis. Associations with depressive symptoms were estimated with structural equation modelling and adjusted logistic regression. Results: Confirmatory factor analysis and structural equation modelling showed better model fit for the core TL than for the full TL score. Logistic regression revealed 3.61-fold (95% confidence interval [CI], 2.20 to 5.93: women) to 4.46-fold (95% CI, 2.86 to 6.95: men) increased odds of reporting depressive symptoms (HADS score >8) for those in the lowest tertile of reported core TL. Conclusions: The shortened core TL seems to be a valid instrument for research and training purposes in the context of TL and depressive symptoms in employees. Of particular note, men reporting poor TL were more likely to report depressive symptoms.
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