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Статті в журналах з теми "Identification of risk factors"

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Автор: Grafiati

Опубліковано: 6 липня 2024

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1

Bhuyan, K. C. "Identification of Risk Factors for Diabetes Disability among Bangladeshi Adults." Diabetes and Islet Biology 5, no. 1 (January 11, 2022): 01–07. http://dx.doi.org/10.31579/2641-8975/027.

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The paper was to throw some light on the risk factors for diabetes disability among Bangladeshi adults of 18 years and above residing in both urban and rural areas. In investigating the adults, it was decided to cover 50.1% males and 49.9% females to maintain the national level of sex ratio in the sample. The respondents were interviewed when they were visiting some diagnostic centres in urban and semi-urban areas. The percentage of diabetic respondents included in the sample was 67% and 25.5% of them were suffering for 10 years and above, 6.4% were disable against 4.8% total disable respondents in the sample, and obese adults were 30.2%. Diabetic disable adults in the sample were 4.3%. The most responsible variable for diabetes disability was obesity followed by longer duration of diabetes, sedentary activity, smoking habit, being housewife, being married, etc. These variables were identified on the basis of risk ratio and correlation coefficients of variables and discriminant function scores. Beside these variables, rural people, Muslims, adults of ages 40 – 50 years, illiterate people had more risk of facing the problem of diabetes disability.

2

Upadhyaya, SuneetKumar, Archana Sharma, and ChintanM Raval. "Postpartum psychosis: Risk factors identification." North American Journal of Medical Sciences 6, no. 6 (2014): 35. http://dx.doi.org/10.4103/1947-2714.134373.

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3

Tuhrim, Stanley. "Stroke Risk Factors." CNS Spectrums 5, no. 3 (March 2000): 70–74. http://dx.doi.org/10.1017/s1092852900012980.

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AbstractDespite advances in the treatment of acute cerebral infarction, the most effective method of reducing stroke morbidity and mortality is the identification and modification of stroke risk factors. Modifiable stroke risk factors include hypertension, atrial fibrillation, hypercholesterolemia, cigarette smoking, hyperhomocystinemia, and carotid stenosis. Improved identification of individuals at increased stroke risk due to these factors can reduce individual risk and the cost to society of the consequences of stroke.

4

Ahuja, Dr Ravindra, Dr Ruchi Thakur, and Dr Rajat Ahuja. "Identification of Maternal, Environmental and Hygienic Practices as Risk Factors for Diarrhoea." International Journal of Scientific Research 3, no. 7 (June 1, 2012): 390–92. http://dx.doi.org/10.15373/22778179/july2014/120.

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5

Khan, M. Owais, Rehman Akhtar, and Ihtisham Ul Haq. "Risk Factors Identification from Contractors Perspective." Pakistan Journal of Engineering and Technology 5, no. 2 (September 27, 2022): 221–25. http://dx.doi.org/10.51846/vol5iss2pp221-225.

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Numerous studies on the distribution of building dangers have been conducted during the last few decades. Even though the current study gives significant insights into the matter, construction industry members are nonetheless concerned about the risks of contracting. A study product was developed to help contracting parties identify, quantify, and assign each construction risk to address this issue. To supplement the model worksheets, flowcharts were created to determine which party should carry which risk, legal research was conducted, and risk allocation guidelines were produced to generate acceptable contract language to address the identified risks. This article focuses on the most significant risks to the project's timeliness, quality, and budget.

6

Hignett, Sue. "Manual handling risks in midwifery: identification of risk factors." British Journal of Midwifery 4, no. 11 (November 1996): 590–96. http://dx.doi.org/10.12968/bjom.1996.4.11.590.

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7

Razali, Muhammad Najib, Rohaya Abdul Jalil, Kamalahasan Achu, and Hishamuddin Mohd Ali. "Identification of Risk Factors in Business Valuation." Journal of Risk and Financial Management 15, no. 7 (June 27, 2022): 282. http://dx.doi.org/10.3390/jrfm15070282.

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It is widely accepted that risk and uncertainty are integral parts of the property valuation process. Uncertainty in property valuation is derived from the characteristics of property itself. The issue pertaining to risk and uncertainty in property valuations is currently one of the key concerns in global valuation practice to date in addressing the decision of risk and uncertainty in valuation, especially for business purposes or in the current term known as business valuation. The judgment and experience still depend on the expertise of the individual valuers alone. The valuation methods used can cause problems if certain elements in business such as risk are highlighted, especially to determine market value. There is a need for valuers to express assumptions which take into account risk and uncertainties, and then pass on the results of the estimation process to the end user of the valuation report. This research employed Analytical Hierarchical Process (AHP) to identify the level of risk in business valuation for valuers to identify which risk areas will expose them to professional liabilities, which then leads to mitigation of risk to determine value in business valuations. AHP will also be able to identify the level of risk in each of the approaches in business valuation which could help valuers to determine the value and market value in the valuation process. This paper will propose some practical approaches of how to address the risk and uncertainty of the valuation process, especially for the purpose of business valuation.

8

Allam, Mohamed Farouk, Amparo Serrano del Castillo, Carmen Díaz-Molina, and Rafael Fernández-Crehuet Navajas. "Invasive Pulmonary Aspergillosis: Identification of Risk Factors." Scandinavian Journal of Infectious Diseases 34, no. 11 (January 2002): 819–22. http://dx.doi.org/10.1080/0036554021000026954.

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9

Fontana, M., R. Jackson, G. Eckert, N. Swigonski, J. Chin, A. Ferreira Zandona, M. Ando, G. K. Stookey, S. Downs, and D. T. Zero. "Identification of Caries Risk Factors in Toddlers." Journal of Dental Research 90, no. 2 (December 20, 2010): 209–14. http://dx.doi.org/10.1177/0022034510385458.

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10

Yang, Zhenhua, Ying Kong, Frank Wilson, Betsy Foxman, Annadell H. Fowler, Carl F. Marrs, M. Donald Cave, and Joseph H. Bates. "Identification of Risk Factors for Extrapulmonary Tuberculosis." Clinical Infectious Diseases 38, no. 2 (January 15, 2004): 199–205. http://dx.doi.org/10.1086/380644.

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11

Taylor, Alyx, Diana Adams, and Vivette Glover. "Postnatal depression: identification, risk factors and effects." British Journal of Midwifery 2, no. 6 (June 1994): 253–57. http://dx.doi.org/10.12968/bjom.1994.2.6.253.

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12

Ruţa, Florina, Monica Tarcea, Victoria Stere, Zoltan Abram, and Călin Avram. "Identification of Behavioral Risk Factors During Pregnancy." Scientific Bulletin 20, no. 1 (June 1, 2015): 160–66. http://dx.doi.org/10.1515/bsaft-2015-0024.

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Abstract Exposure to smoking during pregnancy is known to be one of the main modifiable risk factors, which threatens maternal and child health. Along with this factor, are not to be neglected also other risk factors belonging to lifestyle sphere, such as alcohol, sedentary, irregular daily meal serving plan, lack of knowledge. Main objective is identification of behavioral risk factors during pregnancy in a group of recently given birth women, hospitalized in three maternities of Tirgu Mures County.

13

Agianto, Agianto, Bellia Yulise, Rismia Agustina, and Ichsan Rizany. "Identification Risk Factors of Stroke: Literature Review." Berkala Kedokteran 18, no. 2 (October 6, 2022): 233. http://dx.doi.org/10.20527/jbk.v18i2.14516.

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State spending to deal with stroke is quite large every year due to the high incidence of stroke. Data from the Ministry of Health of Indonesia mentions an increasing number in health financing every year, the country financed stroke services by 2.56 trillion in 2018. The magnitude of the incidence of stroke can be lowered by controlling the risk factors of stroke. This study aimed to identify stroke risk factors, both those modifiable risk factors and irreversible risk factors. Research is conducted with a literature review using descriptive study methods or correlation analysis with cross sectional approaches. Sixteen articles identified from Google scholars and Garuda databases in the 2015-2020 range, and were analysed using JBI critical appraisal tools-checklist for analytical cross-sectional studies and JBI critical appraisal tools-checklist for prevalence studies. Synthesis narrative was used to analyse the articles. Out of 16 articles examined the modifiable risk factors were hypertension, dyslipidemia, diabetes mellitus, lack of physical activity, blood sugar levels, cholesterol levels in blood, alcohol and drug consumption, kidney disease, tuberculosis, heart disease, heart failure, obesity, central obesity, atrial fibrillation and also smoking are declared associated with the incidence of stroke. The irreversible risk factors are age, gender, education, family history, income employment, previous stroke history, and rural and urban distribution. Risk factors divided into two categories modifiable risk factors and irreversible risk factors. It is important to know the risk factors of stroke in order prevent the occurrence of stroke as early as possible by avoiding modifiable stroke risk factors. Hypertension, smoking, diabetes mellitus obesity, dyslipidemia, and lack of activity are the most modifiable stroke risk factors identified in the articles. The most irreversible risk factors identified in the article are age, gender, and level of education

14

Agianto, Agianto, Bellia Yulise, Rismia Agustina, and Ichsan Rizany. "Identification Risk Factors of Stroke: Literature Review." Berkala Kedokteran 19, no. 1 (February 28, 2023): 119. http://dx.doi.org/10.20527/jbk.v19i1.15728.

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Abstract: State spending to deal with stroke is quite large every year due to the high incidence of stroke. Data from the Ministry of Health of Indonesia mentions an increasing number in health financing every year, the country financed stroke services by 2.56 trillion in 2018. The magnitude of the incidence of stroke can be lowered by controlling the risk factors of stroke. This study aimed to identify stroke risk factors, both those modifiable risk factors and irreversible risk factors. Research is conducted with a literature review using descriptive study methods or correlation analysis with cross sectional approaches. Sixteen articles identified from Google scholars and Garuda databases in the 2015-2020 range, and were analysed using JBI critical appraisal tools-checklist for analytical cross-sectional studies and JBI critical appraisal tools-checklist for prevalence studies. Synthesis narrative was used to analyse the articles. Out of 16 articles examined the modifiable risk factors were hypertension, dyslipidemia, diabetes mellitus, lack of physical activity, blood sugar levels, cholesterol levels in blood, alcohol and drug consumption, kidney disease, tuberculosis, heart disease, heart failure, obesity, central obesity, atrial fibrillation and also smoking are declared associated with the incidence of stroke. The irreversible risk factors are age, gender, education, family history, income employment, previous stroke history, and rural and urban distribution. Risk factors divided into two categories modifiable risk factors and irreversible risk factors. It is important to know the risk factors of stroke in order prevent the occurrence of stroke as early as possible by avoiding modifiable stroke risk factors. Hypertension, smoking, diabetes mellitus obesity, dyslipidemia, and lack of activity are the most modifiable stroke risk factors identified in the articles. The most irreversible risk factors identified in the article are age, gender, and level of education.

15

Touahmia, M. "Identification of Risk Factors Influencing Road Traffic Accidents." Engineering, Technology & Applied Science Research 8, no. 1 (February 20, 2018): 2417–21. http://dx.doi.org/10.48084/etasr.1615.

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Road traffic accidents (RTAs) are becoming a major problem around the world, incurring enormous losses of human and economic resources. Recent reports from the World Health Organization (WHO) reveal that each year more than 1.25 million people are killed and 50 million are injured in road traffic accidents worldwide. In Saudi Arabia, statistics show that at least one traffic accident occurs every minute, causing up to 7,000 deaths and over 39,000 injuries annually. In this study, the main causes of RATs in the province of Hail are examined. The data was collected through the use of a survey which was developed to evaluate the effect of influencing parameters on RTA rate. The results show that 67% of RTAs result from human factors, 29% from road conditions and 4% from vehicle defects. Excessive speed and violation of traffic rules and regulations were found to be the main causes of RATs. Low rates of compliance with speed limit signs and seat-belt regulations were also observed. These findings highlight the need of strengthening effective traffic law enforcement alongside with improving traffic safety and raising public awareness.

16

Rochelson, Ellis, Marc E. Richmond, Damien J. LaPar, Alejandro Torres, and Brett R. Anderson. "Identification of Risk Factors for Early Fontan Failure." Seminars in Thoracic and Cardiovascular Surgery 32, no. 3 (2020): 522–28. http://dx.doi.org/10.1053/j.semtcvs.2020.02.018.

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17

Tatro, Hayley A., Leslie A. Hamilton, Cassey Peters, and A. Shaun Rowe. "Identification of Risk Factors for Refractory Status Epilepticus." Annals of Pharmacotherapy 54, no. 1 (July 26, 2019): 14–21. http://dx.doi.org/10.1177/1060028019867155.

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Objective: The objective of this study is to identify risk factors for the development of refractory status epilepticus (RSE). Methods: This was an IRB-approved, retrospective case control study that included patients admitted with status epilepticus between August 1, 2014, and July 31, 2017. Cases were defined as those with RSE, and controls were those who did not develop RSE. A bivariate analysis was conducted comparing those with RSE and those without RSE. A stepwise logistic regression model was constructed predicting for progression to RSE. Risk factors for progression to RSE were extrapolated from this model. Results: A total of 184 patients met inclusion criteria for the study (99 controls and 49 cases). After adjusting for covariates in the logistic regression, patients with convulsive seizures had a lower odds of developing RSE (odds ratio [OR] = 0.375; 95% CI = 0.148 to 0.951; P = 0.0388). Treatment with benzodiazepines plus levetiracetam had a higher odds of developing RSE (OR = 3.804; 95% CI = 1.523 to 9.499; P = 0.0042). Conclusion and Relevance: This study found that patients with convulsive seizures had a lower odds of developing RSE. In addition, patients treated with benzodiazepines and levetiracetam had a higher odds of developing RSE. This information can be used to potentially identify patients at higher risk of developing RSE, so that treatment can be modified to reduce morbidity and mortality. These results may warrant further investigation into the effectiveness of levetiracetam as a first-line agent for the treatment of SE.

18

Stanton-Chapman, Tina L., Derek A. Chapman, and Keith G. Scott. "Identification of Early Risk Factors for Learning Disabilities." Journal of Early Intervention 24, no. 3 (July 2001): 193–206. http://dx.doi.org/10.1177/10538151010240030501.

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19

Ridha, Nadirah Rasyid, P. Nara, Hadia Angriani, and Dasril Daud. "Identification of risk factors for recurrent febrile convulsion." Paediatrica Indonesiana 49, no. 2 (April 30, 2009): 87. http://dx.doi.org/10.14238/pi49.2.2009.87-9.

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Background Febrile convulsion (FC) occurs in about 2 to 4percent of all children, approximately one third of whom willthen develop recurrent febrile convulsion (RFC). Risk factorsfor RFC are family history of convulsions, an age of less than 18months, a relatively lower temperature and shorter duration offever preceeding the first FC.Objective The aim of the study was to determine the risk factorsfor RFC.Methods One hundred children aged 6 months to 5 years withFC or RFC were included in this case-controlled study, which wascarried out from July 2006 to June 2007. Data on the children'sfirst FC were collected from medical records and the family historywas taken directly from the parents.Results Fifty children with RFC and 50 children withoutrecurrence were included in this study. An age of less than 18months (P< 0.0001, COR= 71.37), a family history of FC(P< 0.0001, COR= 6.00), and a fever duration ofless than 12hours preceding the first FC (P< 0.0001, COR = 4.96) wereassociated with a risk of recurrence. A relatively lower degree oftemperature at first febrile convulsion did not increase the riskfor RFC (P = 1.21). Multivariate logistic regression showed thatyounger age and shorter duration of fever preceding the first FCwere associated with RFC.Conclusion Younger age and shorter duration of fever precedingthe first FC are associated with an increased risk ofRFC.

20

Stanton-Chapman, Tina L., Derek A. Chapman, Nicolette L. Bainbridge, and Keith G. Scott. "Identification of early risk factors for language impairment." Research in Developmental Disabilities 23, no. 6 (November 2002): 390–405. http://dx.doi.org/10.1016/s0891-4222(02)00141-5.

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21

Mościcki, Eve K. "IDENTIFICATION OF SUICIDE RISK FACTORS USING EPIDEMIOLOGIC STUDIES." Psychiatric Clinics of North America 20, no. 3 (September 1997): 499–517. http://dx.doi.org/10.1016/s0193-953x(05)70327-0.

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22

Malik, Muhammad Sohail Anwar, Michael Sandholzer, M. Zubair Khan, and Sajjad Akbar. "Identification of Risk Factors Generating Terrorism in Pakistan." Terrorism and Political Violence 27, no. 3 (April 25, 2014): 537–56. http://dx.doi.org/10.1080/09546553.2013.820184.

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23

Delgado, Christine E. F., Sara J. Vagi, and Keith G. Scott. "Identification of Early Risk Factors for Developmental Delay." Exceptionality 15, no. 2 (May 15, 2007): 119–36. http://dx.doi.org/10.1080/09362830701294185.

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24

Zhao, Yihong, Jennifer M. Hoenig, Angeline Protacio, Sungwoo Lim, and Christina C. Norman. "Identification of risk factors for early psychiatric rehospitalization." Psychiatry Research 285 (March 2020): 112803. http://dx.doi.org/10.1016/j.psychres.2020.112803.

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25

Hopkins, Paul N., and Roger R. Williams. "Identification and Relative Weight of Cardiovascular Risk Factors." Cardiology Clinics 4, no. 1 (February 1986): 3–31. http://dx.doi.org/10.1016/s0733-8651(18)30632-5.

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26

de Aquino, Rita de Cássia, and Sonia Tucunduva Philippi. "Identification of malnutrition risk factors in hospitalized patients." Revista da Associação Médica Brasileira (English Edition) 57, no. 6 (November 2011): 623–29. http://dx.doi.org/10.1016/s2255-4823(11)70127-8.

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27

Cheng, Jin, and RuCheng Xiao. "An efficient method for identification of risk factors." Science in China Series E: Technological Sciences 52, no. 12 (December 2009): 3626–31. http://dx.doi.org/10.1007/s11431-009-0383-y.

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28

Ford, Edward G. "Hirschsprung's disease: Identification of risk factors for enterocolitis." Journal of Pediatric Surgery 23, no. 11 (November 1988): 1079. http://dx.doi.org/10.1016/s0022-3468(88)80082-4.

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29

de Aquino, Rita de Cássia, and Sonia Tucunduva Philippi. "Identification of malnutrition risk factors in hospitalized patients." Revista da Associação Médica Brasileira 57, no. 6 (November 2011): 623–29. http://dx.doi.org/10.1016/s0104-4230(11)70127-0.

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30

Shim, Bong Suk, and Young Yo Park. "Identification of Related Risk Factors of Chronic Prostatitis." Ewha Medical Journal 28, no. 1 (2005): 37. http://dx.doi.org/10.12771/emj.2005.28.1.37.

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31

Szerlip, Molly I., and Harold M. Szerlip. "Identification of Cardiovascular Risk Factors in Homeless Adults." American Journal of the Medical Sciences 324, no. 5 (November 2002): 243–46. http://dx.doi.org/10.1097/00000441-200211000-00002.

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32

Katsero, A. A. "SUICIDAL BEHAVIOR OF ADOLESCENTS: IDENTIFICATION OF RISK FACTORS." Современные проблемы науки и образования (Modern Problems of Science and Education), no. 6 2022 (2022): 35. http://dx.doi.org/10.17513/spno.32190.

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33

Logjes, Robrecht J. H., Maartje Haasnoot, Petra M. A. Lemmers, Mike F. A. Nicolaije, Marie-José H. van den Boogaard, Aebele B. Mink van der Molen, and Corstiaan C. Breugem. "Mortality in Robin sequence: identification of risk factors." European Journal of Pediatrics 177, no. 5 (February 28, 2018): 781–89. http://dx.doi.org/10.1007/s00431-018-3111-4.

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34

Callis, Natalie. "Falls prevention: Identification of predictive fall risk factors." Applied Nursing Research 29 (February 2016): 53–58. http://dx.doi.org/10.1016/j.apnr.2015.05.007.

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35

Salvatore, Stefano, Stavros Athanasiou, G. Alessandro Digesu, Marco Soligo, Myrtia Sotiropoulou, Maurizio Serati, Aris Antsaklis, and Rodolfo Milani. "Identification of risk factors for genital prolapse recurrence." Neurourology and Urodynamics 28, no. 4 (April 2009): 301–4. http://dx.doi.org/10.1002/nau.20639.

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36

Wang, Yinghui, Guowen Li, Jianping Li, and Xiaoqian Zhu. "Comprehensive identification of operational risk factors based on textual risk disclosures." Procedia Computer Science 139 (2018): 136–43. http://dx.doi.org/10.1016/j.procs.2018.10.229.

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37

Panjehfouladgaran, Hamidreza, and Stanley Frederick W. T. Lim. "Reverse logistics risk management: identification, clustering and risk mitigation strategies." Management Decision 58, no. 7 (April 16, 2020): 1449–74. http://dx.doi.org/10.1108/md-01-2018-0010.

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PurposeReverse logistics (RL), an inseparable aspect of supply chain management, returns used products to recovery processes with the aim of reducing waste generation. Enterprises, however, seem reluctant to apply RL due to various types of risks which are perceived as posing an economic threat to businesses. This paper draws on a synthesis of supply chain and risk management literature to identify and cluster RL risk factors and to recommend risk mitigation strategies for reducing the negative impact of risks on RL implementation.Design/methodology/approachThe authors identify and cluster risk factors in RL by using risk management theory. Experts in RL and supply chain risk management validated the risk factors via a questionnaire. An unsupervised data mining method, self-organising map, is utilised to cluster RL risk factors into homogeneous categories.FindingsA total of 41 risk factors in the context of RL were identified and clustered into three different groups: strategic, tactical and operational. Risk mitigation strategies are recommended to mitigate the RL risk factors by drawing on supply chain risk management approaches.Originality/valueThis paper studies risks in RL and recommends risk management strategies to control and mitigate risk factors to implement RL successfully.

38

Lee, Hwang-Jai, and Min-Ho Ha. "Identification of Risk Factors and Evaluation of the Importance of Risk Factors in Container Ports." Korean Logistics Research Association 31, no. 6 (December 31, 2021): 23–33. http://dx.doi.org/10.17825/klr.2021.31.6.23.

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39

Brooks-Brunn, JA. "Postoperative atelectasis and pneumonia: risk factors." American Journal of Critical Care 4, no. 5 (September 1, 1995): 340–49. http://dx.doi.org/10.4037/ajcc1995.4.5.340.

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Postoperative pulmonary complications frequently lead to increased patient morbidity and mortality, hospital length of stay, and resource utilization. Atelectasis and infectious complications account for the majority of reported pulmonary complications. Risk factors are thought to exaggerate pulmonary function deterioration, which occurs both during and after surgical procedures. This article reviews the literature and describes risk factors frequently identified in relation to pre-, intra-, and postoperative settings, impact of each risk factor on pulmonary function, and issues related to risk factor evaluation. Eighteen risk factors are reviewed regarding their pathophysiologic impact on pre-, intra-, and postoperative pulmonary function. Key issues related to risk factor evaluation are also discussed. Identification of risk factors and prediction of postoperative pulmonary complications are important. Early identification of patients at risk for postoperative pulmonary complications can guide our respiratory care to prevent or minimize these complications.

40

Novikov, Andrey Vadimovich, and Andrey Petrovich Koshkin. "Identification and analysis of major risk factors causing national terrorism." Journal of Aggression, Conflict and Peace Research 11, no. 3 (June 27, 2019): 225–39. http://dx.doi.org/10.1108/jacpr-01-2019-0402.

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Purpose National terrorism is a comprehensive problem caused by various factors and conditions that give rise to or are capable of giving rise to it. The paper aims to discuss this issue. Design/methodology/approach The purpose of this study is to identify the main risk factors contributing to the emergence of terrorism, based on an expert survey of the academic community and law enforcement officers who are directly involved in the security sector in the Russian regions. Findings The study identified 72 causes of national terrorism, which were then transformed into a questionnaire. The findings helped identify 18 major risk factors associated with the emergence of terrorism. Originality/value It was concluded that the elimination of these risk factors would generally reduce the impact of more insignificant factors. The results of the study may be useful for countries and national regions exposed to a high level of terrorist activity.

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Dobjanschi, Carmen, and Rucsandra Dănciulescu Miulescu. "Risk Factors For Gestational Diabetes – An Update." Romanian Journal of Diabetes Nutrition and Metabolic Diseases 22, no. 2 (June 1, 2015): 201–7. http://dx.doi.org/10.1515/rjdnmd-2015-0025.

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AbstractWomen with gestational diabetes mellitus (GDM) have an increased lifetime risk of developing type 2 diabetes mellitus (T2DM). GDM has a substantial impact on maternal and foetal short and long-term health. Risk factors for GDM may be genetic or nongenetic and have been analysed in numerous studies. Researches in recent years allowed the identification of other risk factors for GDM except for those already known. Knowledge and identification of all risk factors for GDM allows the elaboration of a prevention strategy of T2DM, it may influence the screening, diagnosis, and, subsequently, treatment modalities for this disease.

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Laring, J., M. Christmansson, R. Kadefors, and R. Örtengren. "ErgoSAM: A preproduction risk identification tool." Human Factors and Ergonomics in Manufacturing 15, no. 3 (2005): 309–25. http://dx.doi.org/10.1002/hfm.20028.

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Naranjo, Leonardo de. "Work Stress and Psychosocial Risk Factors." International Journal of Science and Society 2, no. 1 (December 15, 2020): 365–69. http://dx.doi.org/10.54783/ijsoc.v2i1.257.

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Resolution 2646 of 2008 aims to give the parameters in the identification of psychosocial risks at work, this as a product of occupational stress, this article presents in a concise and understandable way for the employee in general, the meaning of the factors of psychosocial risk and the repercussions that these may have on their health. The Ministry of Protection includes pathologies derived from work stress in the table of Occupational Diseases, and for this it relies on the protocol for determining the origin of pathologies derived from stress and on the battery of instruments to evaluate the factors of psychosocial risk and contribute to the decision-making of work professionals in determining the origin of diseases derived from stress, whether they are of common or professional origin. For this case, companies must allocate human and economic resources for the identification, evaluation, prevention, intervention and monitoring of said psycho-occupational risks, it is the employer's responsibility to ensure the health of its employees, non-compliance with what is established by the Ministry will be subject to sanction in accordance with the provisions of paragraphs a and c of Article 91 of Decree - Law 1295 of 1994.

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Miao, Xiyuan, Haozhe Jing, and Lu Wei. "The identification of high-risk factors of banks based on risk matrix." Procedia Computer Science 214 (2022): 272–79. http://dx.doi.org/10.1016/j.procs.2022.11.175.

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Levin, A. "Identification of patients and risk factors in chronic kidney disease--evaluating risk factors and therapeutic strategies." Nephrology Dialysis Transplantation 16, suppl 7 (October 1, 2001): 57–60. http://dx.doi.org/10.1093/ndt/16.suppl_7.57.

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Roset-Llobet, Jaume, Dolors Rosinés-Cubells, and Josep M. Saló-Orfila. "Identification of Risk Factors for Musicians in Catalonia (Spain)." Medical Problems of Performing Artists 15, no. 4 (December 1, 2000): 167–74. http://dx.doi.org/10.21091/mppa.2000.4032.

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The present study analyzes the results from 1,639 questionnaires returned by Catalonian musicians from music schools, conservatories, orchestras, associations of professional musicians, and sundry other musical groups. The objective was to identify the principal risk factors associated with the appearance of health problems caused by the musicians’ occupations. The most noteworthy results were that 77.9% of the respondents have or have had some occupation-related health problem during their playing careers, and 37.3% of these have had technique impairment. The musculoskeletal system was the most frequently involved area (87.7% of the affected respondents). Risk factors identified include age, grade, dedication, professional status, changes in routine, and the instrument played (especially percussion, brass, and strings). In contrast to other studies, no relationship was discovered between gender or dominant hand and higher risk. The areas of the body most affected were the upper extremities and the neck. There is some indication in the data that the problems in males may be related to pathologies produced by overuse-strain; while those experienced by females are linked more with tension-posture. The conclusion reached is that, in spite of there being common factors, each community of musicians, each with its specific social, employment, and educational characteristics, presents a distinct pathological model, which makes the epidemiological data obtained in any study difficult to extrapolate to other communities.

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Lesmana, Putra Agata. "Risk Factors Identification of Fire Incidents in 2017-2018." Indonesian Journal of Occupational Safety and Health 9, no. 1 (April 30, 2020): 66. http://dx.doi.org/10.20473/ijosh.v9i1.2020.66-72.

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Introduction: The massive development of the industrial sector leads to an increase in the risk of fire incidents. A company is obligated to prevent, reduce, and extinguish fire incidents by providing training and facilitating supporting tools to avoid fire incidents in the workplace. PT. ARPS is a Surabaya-based manufacturing company that produces plastic packaging and has a potential danger of medium to high levels. By applying the case study design, as an observational study, this study aims to identify the factors that influence and trigger the fire incidents at PT. ARPS during 2017-2018. Methods: The population of this study is the workers of the Assembly Decoration 1 (AD1) and the Blow Molding (DM) production areas. The collected data are analyzed and presented descriptively through tables and narration. Results: The data show that the first fire incident occurred on 10 February 2017 to the KK6 machine in the AD1 area, followed by the second incident that occurred on 18 March 2018 to the VK4 machine in the BM area, and the third incident (30 March 2018) to the KKS6 machine in the AD1 area. Conclusion: It can be stated that the three fire incidents at PT. ARPS that occurred from 2017 until March 2018 are caused by unsafe actions that are the negligence of the human resources, and unsafe conditions, which comprise the unstable machines. Other factors, such as supervision, maintenance, work instruction, and managerial, are identified as the upholding factors to the fire incidents at PR. ARPS. Keywords: factor identification, fire incident, unsafe action, unsafe condition

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Lu, Caimei, and Lu Zhang. "Research on Risk Factors Identification of P2P Lending Platforms." American Journal of Industrial and Business Management 08, no. 05 (2018): 1344–57. http://dx.doi.org/10.4236/ajibm.2018.85091.

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Kłos, Marta. "PATHOGENICITY OF LACTOBACILLUS SP. - RISK FACTORS, IDENTIFICATION, ANTIBIOTIC RESISTANCE." Postępy Mikrobiologii - Advancements of Microbiology 56, no. 2 (2019): 180–86. http://dx.doi.org/10.21307/pm-2017.56.2.180.

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Ascha, Mona, Mustafa S. Ascha, and Brian Gastman. "Identification of Risk Factors in Lymphatic Surgeries for Melanoma." Annals of Plastic Surgery 79, no. 5 (November 2017): 509–15. http://dx.doi.org/10.1097/sap.0000000000001152.

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