Identification Of Effective Factors Research Articles

Identification of Effective Factors and Prediction of Ischemic Heart Disease Using Machine Learning Methods and Data from the Yazd Health Study (YaHS) "

Introduction: Ischemic heart diseases are one of the most common diseases that cause high mortality worldwide. This article has identified various factors affecting heart disease and identified susceptible people using various machine learning methods. Methods: The current research was conducted on the Yazd Health Study (YaHS) database. YaHS was conducted on adults aged 20-70 years who were residents of Yazd Greater Area and collected information on the health and various diseases of nearly 10,000 people in the form of a questionnaire with 300 different questions. In this research, by using the correlation of questions with heart disease, the most important factors of heart disease have been identified. By using the identified factors and machine learning algorithms, susceptible people with heart disease have been identified. Results: The results of the evaluations have shown that factors such as age, family history of heart disease, blood pressure, diabetes, blood cholesterol, stress, anxiety, depression, quality of life, quality of sleep, physical activity, smoking, and diet have an effect on heart disease. Likewise, among the different machine learning methods, the nearest neighbor method, the deep neural network method, and the multi-layer perceptron method with a recall criterion of 99.94%, 99.88%, and 99.11% have performed the best in the identifying sick people, respectively. Conclusion: According to the findings of the research, it can be understood that by controlling factors such as blood pressure, diabetes, blood cholesterol, stress, anxiety, and depression, changing factors such as quality of life, sleep status, physical activity, and eating patterns of people and quitting smoking, it is possible to move towards improving the health of society. On the other hand, the identification of people prone to heart disease using machine learning methods is done faster and at a lower cost than the traditional methods that are done by referring to medical centers and doctors and performing various tests.

Identification of Effective Factors on Public Oversight of Public Policies with a Crowdsourcing Approach Using Thematic Analysis and DEMATEL Techniques

Objective: The primary goal of this article is to identify the factors influencing public oversight of public policies using a crowdsourcing approach with thematic analysis and DEMATEL techniques. Methodology: The research methodology is mixed (qualitative-quantitative). In addition to documentary studies, thematic analysis technique has been utilized. The statistical population in this study comprised all experts in the field of public policy-making, managers, and public health professionals, with theoretical saturation achieved after 16 interviews. Eventually, basic, organizing, and global themes were extracted, and in the quantitative part, the DEMATEL technique was used to determine the impact and influence of factors on public oversight of public policies with a crowdsourcing approach. Findings: This study identified 15 dimensions (health service capacities, motivational factors, environmental factors, internal policies, domestic infrastructure, executive factors, development and education of public services in health, development of domestic services, globalization of public services, development of knowledge sharing policies and services, structural issues, laws and regulations, cultural factors, financial management) and 32 components and 159 indicators were extracted. Through the DEMATEL method in the quantitative section, 8 influential components and 7 influenced components were identified. Conclusion: The studies indicated that among the identified dimensions, the dimension of health service capacities has the highest importance in terms of impact and requires special attention, while the dimension of cultural factors is the most influenced dimension that is affected by other dimensions.

Identification of effective factors in musculoskeletal disorders of tea harvesting workers: a qualitative study

Identification of effective factors in musculoskeletal disorders of tea harvesting workers: a qualitative study

Identification of Effective Factors on Formation of clinical Empathy Hidden Curriculum of Residents in Medical Universities

Introduction: Clinical empathy is a essential skill in medical profession, ability to understand the patient's perspectives and experiences and convey this understanding to the patient. aspects of education such as transferring behaviors, norms and values in the form of hidden curriculum work better than explicit. Hidden curriculum factors affect the formation of clinical empathy that is implicitly and unintentionally transmitted throughstructures, culture and organizational interaction. Thus, the main goal of this study is to determine the influencing factors on the formation of the hidden curriculum of empathy of residents of medical universities. Methods: This qualitative study was conducted based on grounded theory. The participants include the third- year assistants of the internal medicine department of Tehran University of Medical Sciences, whose selection method was a purposive and theoretical. In total, semi- structured interviews were conducted with 22 assistants,. Interviews were analyzed using Corbin and Strauss coding methods (open, selective and axial) which were identified. To ensure reliability and validity, criteria: acceptability, transferability, reliability, and verifiability were used. Results: Findings indicate that the total number of free codes extracted from the content of the interviews was 73, which after merging similar codes with each other, classified in 9 similar concepts and finally in 4 the main themes were categorized. Results show that effective components on the formation of the hidden curriculum of empathy of residents included components of Skills needed by assistants (educational skills and basic skills), components of individual characteristics (psycho- personality and lifestyle), support factors including (material support and spiritual support) and the issues of organizational include (working environment of hospitals and clinics, job satisfaction and the structure of the educational system). Conclusions: According to the results of the current research, for the formation of clinical empathy in the competent assistants, it is necessary for universities of medical sciences to carry out formal evaluation of clinical empathy, comply with international standards, provide Sufficient comfort facilities take steps to prevent job dissatisfaction and job burnout, create positive and supportive relationships, so the findings of this research can be helpful in the field of clinical empathy formation in assistants

Identification of Effective Factors on the Survival of Hemodialysis Patients Using the LASSO-Cox Approach

Background: Hemodialysis is a method for removing excess fluid and uremic waste from the body of chronic renal failure (CRF) patients. It stops death in patients with CRF. Various factors can affect the survival of patients undergoing hemodialysis treatment. The current study aimed to determine some factors affecting hemodialysis patients’ survival using the LASSO-Cox approach. Methods: This cross-sectional study examined 252 patients undergoing hemodialysis from 2010 to 2016 in all hospitals of Bandar Abbas, Iran, whose data had been recorded in the hemodialysis unit, or it was possible to obtain their files. The Cox model under the LASSO variable selection technique (LASSO-Cox) was applied for data analysis. The collected data were analyzed using SPSS 23.0 (IBM) software and glmnet and survival packages in R software, version 3.5.1. Results: Overall, 35 (13.9%) death events were observed in this study. The mean follow-up time of 252 patients was equal to 10.93±7.82 years. Based on the results of the Cox-Lasso method, the risk of mortality for patients with a diploma was 49% lower than that of the illiterate group (HR=0.51; 95% CI: 0.02, 0.57; P=0.021). The risk of death for unemployed patients and farmers was 0.66 (HR=1.66; 95% CI: 1.51, 25.79; P=0.004) and 0.29 (HR=1.29; 95% CI: 1.14, 27.40; P=0.005) higher than that of employees, respectively. Further, by an increase in the frequency of dialysis per week, the risk of death was reduced by 0.34 (HR=0.66; 95% CI: 0.04, 0.82; P=0.022), and one unit increase in the duration of dialysis per hour increased the risk of death by 2.23 times (HR=2.23; 95% CI: 1.41, 27.1; P=0.010). Conclusion: Education level, job, frequency of hemodialysis per week, and duration of hemodialysis per hour were the most important variables in the survival of hemodialysis patients. As a result, it seems that more education for nurses working in hemodialysis wards and the involved patients can be useful to heed the recommendations of physicians in terms of the required duration for hemodialysis per hour and the number of sessions per week.

Predictors of safe road-crossing behavior among female high school students of Shahr-e Kord: an application of the theory of planned behavior.

Traffic accidents in pedestrians is one of the most important causes of death. Understanding the status quo and identification of effective factors are necessary for the management and planning of efficient training interventions in the prevention of traffic accidents for pedestrians. Hence, the present study aimed to determine the predictors of safe road-crossing behavior among female high school students of Shahr-e Kord. The present research was a descriptive-analytical study which was conducted on 347 female high school students of Shahr-e Kord in the academic year 2016-2017. The participants were selected using random sampling method and the required data were collected through a standard questionnaire based on the theory of planned behavior. The obtained data were statistically analyzed using Pearson correlation test and regression analysis. The mean score of participants on the adoption of safe road-crossing behavior was equal to 57.06±14.74. Among the independent variables of this study, the lowest and the highest scores were related to behavioral intention and outcome expectancy, respectively. The results of multiple regression test showed that behavioral beliefs, outcome expectancy, compliance motivation and behavioral intention are predictors of the adoption of safe road-crossing behavior. In total, these constructs were able to predict 25.8% of behavioral changes. Based on the study findings, the theory of planned behavior can be considered an appropriate framework for designing training interventions in order to improve students' road-crossing behavior.

Identification of effective factors in impressive settlement of community oriented crisis managemen

Identification of effective factors in impressive settlement of community oriented crisis managemen

The comparing of infant mortality rate in different World Health Organization regions during 1990\u20132017

BackgroundInfant mortality rate is an important index of community health status and mortality rate. It is also one of the most prominent indexes showing the development of various societies. Regarding the importance of infant mortality rate (IMR), the purpose of current study was to compare and trend analysis of IMR in different areas of the WHO during 1990–2017. In current ecological study, IMR per 1000 live births in different WHO regions from 1990 to 2017 data were derived from the WHO website. The required information included the data about IMR per 1000 live births in different WHO regions from 1990 to 2017. The analysis was performed by using descriptive and analytical methods.ResultsThe IMR during the study period had a significant decreasing trend in all the regions (p < 0.001) but the slope of decrease was greater in Africa than in other regions. The African and European regions had the highest (55.7%) and lowest (17.2%) annual decrease in the infant mortality rate (from 106.3 cases in 1990 to 50.6 in 2017, and from 24.9 in 1990 to 7.7 in 2017), respectively.ConclusionOur results showed that the trend of IMR had a decreasing trend in all WHO regions. It can be due to improving the public health situation in different areas. But the identification of effective factors on IMR needs individuals based studies.

Identification of Effective Factors in Planning the Architecture of Cultural Centers Based on the Strengthening of Social Interactions of Citizens

Identification of Effective Factors in Planning the Architecture of Cultural Centers Based on the Strengthening of Social Interactions of Citizens

Identification of Effective Factors on Accountants Motivation and Prioritization of Them by Using Fuzzy TOPSIS

Objective: In the global market, modern organizations are faced with high levels of competition. In the wake of increasing competition in the global market, the survival of many companies that depend on human resources. Methodology: Performance like abilities, knowledge, skills and other abilities plays an important role in the success of the organization. Hence the human resources management system in any organization due to the continuous changes in the environment cannot be a static phenomenon. Subject of motivation of human resources issues that require special attention in the management of organizations. The aim of this study was to identify and rank the factors affecting the motivation of accountants with the first technique (FTOPSIS). in this study was used Herzberg's two-factor theory. The number of factors identified in this study is its 29 that 15 of health agents and 14 were other factors of motivating factors. Results: The results showed that the most important health factors affecting the motivation of accountants was respected and appreciated by management and supervision, the system of payment of salary and fringe benefits and job security. Conclusion: Finally 3 of factors” respect and appreciation from the management and supervision", "pay the salary and fringe benefits" and "compatibility with educational background and skills working jobs" are the highest priority at the motivation of accountants.

The relationship between personality characteristics and the quality of life in patients with epilepsy

Introduction: Identification of effective factors in the quality of life (QOL) of patients with epilepsy is important in improving their quality of life. Regarding this, the present study aimed to investigate the relationship between personality characteristics and QOL in patients with epilepsy. Material and methods: This cross-sectional study was conducted on 100 epileptic patients referred to Neurology Clinic of Ali-ibn Abi Talib Hospital in Zahedan, Iran in 2015. The NEO Personality Inventory (NEO-PI) and Short Form Health Survey (SF-12) questionnaires were used to determine the personality characteristics and QOL scores, respectively. Results: The mean of QOL score was 28.94±4.58. Age, gender, marital status, education level, and duration of epilepsy had no significant correlation with the QOL. The QOL showed a negative correlation with openness to experience and neuroticism. However, this variable had a direct correlation with conscientiousness, agreeableness, and extraversion. There was a significant relationship between the predictor variables (extraversion and neuroticism) and the criterion variable (QOL). Therefore, extraversion and neuroticism can be considered as the predictors of the QOL. Conclusions: The extraversion and neuroticism seem to be two predictors of the QOL in the epileptic patients. Accordingly, whereas the patients with high levels of neuroticism had low QOL, this value was higher in those with high levels of extraversion.

The role of Altruism and Empathy in anticipating the Attitude toward Organ Donation among Nurses in Intensive Care Units of Qazvin: A Cross-Sectional Study

Aim: Nurses, especially nurses in ICUs play an important role in organ donation; their performance in relation to their role is more affected by their attitude in this regard, identification of effective factors on the positive attitude of nurses towards organ donation is essential. This study was conducted aimed to determine the empathy and altruism with the nurses’ attitudes in intensive care unit towards organ donation and brain death. Methods. In this cross-sectional study, which was conducted in 2019, 222 nurses from intensive care unit were selected by stratified random sampling. For collecting data the questionnaires of altruism, empathy and attitude toward organ donation were completed by nurses. Data was analyzed using pearson correlation, multiple linear regression. Results. There was a significant correlation between altruism (p < 0.001, r = 0.24) and its components (anonymous prosocial behaviors (r = 0.33, p < 0.001), emotional prosocial behaviors (r = 0.14, p = 0.03), dire prosocial behaviors (r = 0.14, p = 0.03) and compliant prosocial behaviors (r = 0.21 and p = 0.001)) with attitudes and also between empathy (r = 0.04, r = 0.13), perspective taking component (p = 0.02, r = 0.152) and imaginary empathy (r = 0.14, p = 0.03) with nurses’ attitudes. The components of anonymous prosocial behaviors in altruism (p < 0.0001), gender (p = 0.007) and having organ donation card (p = 0.012) are positive predictors of nurses’ attitudes towards organ donation. Conclusion. The results showed that altruism and having organ donation card were two of the most important factors in the tendency of nurses to organ donation. Therefore, the implementation of educational programs regarding changing nurse’s attitude in order to increase the sense of altruism and empathy about organ donation is necessary. By strengthening the sense of altruism and empathy in the family of brain death patients, they can be helped to decide on donate their patient’s organ with more certainty.

Factors Affecting Demand and Utilization of Dental Services: Evidence from a Developing Country

Background: To achieve evidence-based policymaking to improve access to dental services and reduce inequality in the utilization of these services, the identification of effective factors on the use of dental services is essential. Objectives: Therefore, the present study was conducted to investigate the most important socioeconomic factors affecting the demand and utilization of dental services among households in Khorramabad, Iran. Methods: This cross-sectional study was performed among 500 households in Khorramabad city in 2017. The participants were selected using a randomized stratified sampling method. Logistic regression was used to determine the most important factors affecting the utilization of dental services and linear regression to examine income elasticity. To measure inequality among income groups, the concentration index was employed. Data analysis was performed using STATA-14 software and the inequality measurement was carried out using DASP-2.3 in STATA software. Results: The mean number of visits by the respondents was 2.78 ± 1.8. Income elasticity and concentration index for these services were estimated to be 0.31 and 0.207, respectively. Increasing household income, advancing age, higher education level of the head of the household, and having complementary insurance coverage (OR = 1.72) had positive relationships with the increased utilization of dental services. Also, a female head of the household (OR = 0.39) and increased household size (OR = 0.9) led to a reduction in the utilization of these services. Conclusions: Inequality is observed in the use of dental services between different socioeconomic groups. Therefore, health policymakers should implement interventions such as dental health insurance to reduce this inequality in such a way that inequalities between socioeconomic groups are reduced.

Identification of effective factors and components of cognitive readiness of university presidents from the perspective of cognitive science and higher education experts

Identification of effective factors and components of cognitive readiness of university presidents from the perspective of cognitive science and higher education experts

ارزیابی تنوعپذیری ژنوتیپهای گندم نان تحت شرایط مختلف رطوبتی با استفاده از روشهای متنوع آماری

از بین تنش‌های محیطی، تنش خشکی مهم‌ترین عامل کاهش تولیدات گیاهان در سراسر جهان است. جهت مطالعه تنوع ژنتیکی و ارتباط بین صفات مختلف با عملکرد دانه در 17 ژنوتیپ (شامل ارقام و لاین‌های مختلف) گندم نان، آزمایشی در قالب طرح بلوک‌های کامل تصادفی با سه تکرار تحت دو شرایط عدم تنش خشکی و شرایط دیم در سال زراعی 90-1389 در مزرعه آموزشی-پژوهشی دانشگاه پیام‌نور اسدآباد اجرا گردید. در این آزمایش صفات عملکرد دانه، تعداد دانه در سنبله، طول سنبله، طول برگ پرچم، عرض برگ پرچم، وزن صد دانه، ارتفاع بوته، محتوی نسبی آب برگ، میزان نسبی آب ازدست‌رفته، درصد سبزینگی برگ (میزان کلروفیل) و مساحت برگ پرچم اندازه‌گیری شدند. نتایج تجزیه واریانس ساده تنوع بالا و معنی‌داری را در هر دو شرایط رطوبتی (مکان) نشان داد. نتایج تجزیه واریانس مرکب اثر ژنوتیپ را برای اکثر صفات معنی‌دار نشان داد. نتایج تجزیه همبستگی نیز بیانگر این بود که بین عملکرد دانه و درصد سبزینگی برگ (اسپاد) در شرایط دیم و بین عملکرد دانه و میزان آب ازدست‌رفته برگ در شرایط عدم تنش خشکی همبستگی مثبت و معنی‌داری (P<0.05) مشاهده گردید. نتایج تجزیه خوشه‌ای ژنوتیپ‌های موردمطالعه را در هر دو شرایط محیطی در سه گروه مجزا و متفاوت قرار داد. به‌طوری‌که بیشترین فاصله ژنتیکی در هر دو شرایط رطوبتی بین خوشه اول و سوم مشاهده گردید. تجزیه به مؤلفه‌های اصلی در شرایط عدم تنش خشکی و شرایط دیم به ترتیب 71% و 76% از تنوع موجود را توجیه نمودند. با توجه به مقایسه میانگین عملکرد دانه، ژنوتیپ‌های 7 (3790 کیلوگرم در هکتار)، 8 (3525 کیلوگرم در هکتار) و 13 (3305 کیلوگرم در هکتار) در شرایط عدم تنش خشکی و ژنوتیپ‌های‌ 13 (2147 کیلوگرم در هکتار)، 14 (2440 کیلوگرم در هکتار) و 17 (2254 کیلوگرم در هکتار) در شرایط دیم بیش‌ترین عملکرد دانه را تولید کردند.

Exploring the effects of hotel development, economic growth and exchange rate on tourism industry

The Purpose. This study is to investigate factors affecting the attraction of international tourists to Iran for the years 1983 to 2015. Design/Methodology/Approach. In this article, we examine using Autoregressive Distributed Lag (ARDL) method to explore the estimating the impacts of economic growth, hotel development, real exchange rate on tourism industry. Findings/Implications. The results of this study showed that the effect of all variables hotel development, merchandise trade, real exchange rate and real gross domestic product on international tourism In Iran, in the long-term and short-term positive and also bilateral relationship is between them. Also, the greatest impact on the increase in the number of tourists entering Iran is the real effective exchange rate and real GDP and a very important point that the results of this research show is that the development of hotels can increase both the short and long term of the number of international tourism to Iran, so in this regard, the development of the necessary technologies to increase this industry should be It will be on the agenda of the private and public sector of Iran. Originality. Given the increasing number of international tourists and the growing role of the tourism industry in the economies of the country, identification of effective factors in attracting international tourists is more than necessary. Governments and the private sector need to identify the factors affecting the tourism industry in order to develop, compete and survive in the tourism industry.

The Structural Model of Educational Self-regulation Based on Learning Strategies and Attributional Styles by the Mediator of Achievement Motivation Among Secondary High School Students in Sari in 2017-2018

Background: Achievement motivation is one of the critical variables that predict educational achievement and success in the future. Therefore, the identification of effective factors upon achievement motivation may be one of the basic subjects in education. The present study aimed to evaluate the structural model of educational self-regulation based on learning strategies by the mediator of achievement motivation among students. Methods: The present study was correlation research with structural equation modeling (SEM). The statistical universe of this study consisted of all boy and girl students at secondary high schools in 2017-2018. The multistep random cluster sampling selected 375 (215 girls and 160 boys). Data gathered by the Bouffard educational self-regulation questionnaire, learning strategies questionnaire, attributional style questionnaire, and Herman’s achievement motivation questionnaire. Data analysis gathered by path analysis and structural equations with Lisrel 8.80 software. Results: The research results indicated the direct effects of learning strategies and attributional styles upon achievement motivation (P&lt;0.05). Also, model fitting indicated indirect effects of learning strategies and attributional styles by achievement motivation upon students learning self-regulation (P&lt;0.01). Conclusion: Research results indicate that self-regulation learning strategies are educational. The teaching of these strategies is effective in increasing internal attribution style for positive events and decreasing this style for adverse events among students.

Correlation between Histopathological Findings and Endoscopy in Esophageal Cance: Results in Khorramabad, Iran, Western Iran

Background: Esophageal cancer is a cancer arising of the esophagus and during the past two decades, the epidemiology and treatment strategies for esophageal cancer have changed markedly in the Western Iran.The aim of this study is to investigate the clinical signs, endoscopy findings, and family history of esophageal cancer in the Khorramabad, Iran.Methods: In this cross-sectional research conducted during 1 year in 2015,96 patients had been diagnosed with esophageal cancer by endoscopy and pathological findings. The data collected through a multipart questionnaire includingage, sex, marital status, education, occupation, address and ethnicity, background as to smoking, alcohol consumption and history of gastric and esophageal cancers. The data were analyzed using chi-square test or Fisher exact test.Results: According to findings of this study, the most common clinical signs in the patients were Anorexia (53.1) and Weight Loss (62.5). The most common anatomical site of tumor in male was in the distal esophagus (41.3%) and middle esophagus in female patients (32%), which was statistically significant (P=0.047).Conclusions: In this study, distal esophageal cancer was more common. Abetter identification of Effective factors on esophageal cancer would result in better control and management of this disease.Bangladesh Journal of Medical Science Vol.17(4) 2018 p.619-624

Effects of patient-handling and individual factors on the prevalence of low back pain among nursing personnel.

Patient-handling is one of the main tasks of nursing personnel; it imposes compressive and shear forces on nurses' lower spine. The aim of this study was to determine the prevalence of Low Back Pain (LBP), risk factors in the incidence of such disorders, and patient handling risk assessment among nursing personnel. This study was carried out on 243 randomly selected nursing personnel who played a role in handling the patients (58 wards). Patient Transfer Assessment Instrument (PTAI) checklists alongside Standardized Nordic Musculoskeletal Questionnaires (NMQ) were used for data collection. The statistical analyses such as independent t-test and Chi-Square test were used. Prevalence of LBP among nursing personal was 69.5% in the previous 12 months. Significant correlations were found among age, working hours per week, work experience, BMI, gender and shift-work. Results of PTAI index assessment revealed that more than 90% of subjects were in medium and severe risks of LBP. PTAI index scores were significantly associated with LBP (P < 0.05). PTAI index is regarded as an efficient tool for risk level classifications and identification of effective factors on LBP incidence among nursing personnel involved in patient transfer. In this regard and for the aim of ergonomic intervention towards the reduction of LBP incidence among nurses, the modification of improper factors which are identified in PTAI index such as the use of advanced patient handling equipment, increase in work posture guidance and work arrangements, can be mentioned.

The Impact of Educational Intervention Programs to Promoting Mammography Screening: A Systematic Review

Background and Objectives: Breast cancer accounts for almost 30% of all cancers and is the second leading cause of cancer deaths in women. The World Health Organization introduces two main measures to prevent breast cancer including relevant education and mammography as the fastest way of diagnosis before the appearance of disease symptoms.This study aimed systematic review to evaluate educational interventions designed to increase the rate of mammography screening. Materials and Methods: We searched electronic databases published between January 2010 to February 2016 and inclusion criteria through Embase, Google Scholar, Scopus, Cochrane, PubMed, Web of Science, SID, Iran Medex, and Iran Doc, selected the articles that focused on determining educational interventions. Results: Most of the studies were RCT. Interventions were more educational, motivational and supportive and were performed in different times. Data collection was in self-report method and an expected impact was action to mammography screening. Conclusions: Identification of effective factors in mammography and using the appropriate interventions as well as effective strategies in the knowledge, attitude and behavior fields will lead to early detection and treatment of breast cancer.