An Evaluation of the Factors Affecting Failure of the Procedure in reoperated Thyroidectomies: A Retrospective Analysis

2022 ◽  
pp. 000313482110234
Author(s):  
Bülent Çomçalı ◽  
Buket A. Özdemir ◽  
Hakan Ataş ◽  
Egemen Özdemir ◽  
Deniz Tikici ◽  
...  
Keyword(s):  
Multinomial Logistic Regression ◽  
Lesion Size ◽  
Nerve Damage ◽  
Signal Loss ◽  
Factors Affecting ◽  
Multinomial Logistic Regression Analysis ◽  
Surgical Success ◽  
Negative Effect ◽  
Surgical Failure ◽  
Residual Tissue

Background The aim of this study was to determine the factors affecting procedure failure in revision thyroidectomy surgery. Methods A total of 148 patients applied with revision surgery were separated into 2 groups according to the surgical success status. Comparisons were made of the 2 groups of patients where residual tissue was totally excised (Group 1, n:132) and patients where residual tissue could not be completely excised (Group 2, n:16). The patients were examined in respect of factors affecting the success of the procedure. Results The patients comprised 133 (89.9%) females and 15 (10.1%) males with a mean age of 49.68±12.02 years. Surgical failure was observed in 7 patients as the lesion could not be determined despite the use of intraoperative USG, and in 9 patients because of weak signal or signal loss. The determination of residual tissue ≤25mm on preoperative USG examination was seen to have a significant negative effect on surgical success (r=-0.329, p0.001). The patient having undergone ≥3 previous operations was determined to have a negative effect on surgical success (r=-0.229, p=0.005), and nerve damage on the opposite side to the lesion in a previous surgical procedure was determined to be the most important factor with a negative effect on surgical success (r=-0.571, p<0.001). In multinomial logistic regression analysis of the factors affecting success, the preoperative presence of nerve damage in the contralateral lobe to the lesion (OR: 33.11, 95% CI: 4.22-192.28, p<0.001) and lesion size ≤25 mm (OR: 10.10, 95% CI: 3.54-75.01, p=0.001) were determined to contribute significantly to surgical failure. Conclusion The results of this study clearly showed that as residual tissue size ≤25mm and contralateral nerve damage in the preoperative ultrasonographic evaluation are associated with surgical failure, alternative treatment methods such as radioactive iodine ablation may be preferred in these patients.

scholarly journals Factors Affecting Childhood Immunisation in Bangladesh

2001 ◽  
Vol 40 (1) ◽  
pp. 57-70 ◽  
Author(s):  
Soma Chowdhury Biswas ◽  
Md. Abu Darda ◽  
Md. Fasiul Alam
Keyword(s):  
Contraceptive Use ◽  
Economic Condition ◽  
Multinomial Logistic Regression ◽  
Important Variable ◽  
Childhood Immunisation ◽  
Factors Affecting ◽  
Multinomial Logistic Regression Analysis ◽  
Independent Variables ◽  
Mother’S Age ◽  
Age At Birth

This study has examined the coverage of childhood immunisation and tried to identify the factors affecting the acceptance of immunisation practice among children in Bangladesh using the data from Bangladesh Demographic and Health Survey (BDHS) 93-94. Results from multinomial logistic regression analysis indicate that education, occupation, household economic condition, mother’s age at birth, sex of child, mother’s TT immunisation acceptance, mother’s health facility visit, health worker’s visit to mothers, and contraceptive use are the independent variables that have statistically significant association with immunisation acceptance. The most important variable identified is the health worker’s visit to mothers.

scholarly journals ANALYSIS OF BITCOIN'S IMPACT ON USERS AND THEIR IMPACT ON THE VALUE OF THE RUPIAH AND THE ROLE OF THE GOVERNMENT IN THE PRESENCE OF BITCOIN

2021 ◽  
Vol 2 (2) ◽  
pp. 337-345
Author(s):  
Cut Nova Rianda
Keyword(s):  
Multinomial Logistic Regression ◽  
Financial System ◽  
Secondary Data ◽  
Role Of Government ◽  
Factors Affecting ◽  
Multinomial Logistic Regression Analysis ◽  
State Management ◽  
The World ◽  
The Government

Bitcoin has a peer to peer system that is in contrast to financial system by eliminating third parties in transactions. Countries in the world have different positions on Bitcoin, there are countries that are accept, reject or not both, so that understanding is needed more in depth to the factors that determine the position of the country above Bitcoin. This study aims to look for the influence of the development of Bitcoin, the performance of fiat money and the governance systems of countries in the world in determining its position on the legality of Bitcoin. Theories and concepts used inside this research is the international financial system and the state management system; with a quantitative approach as well as multinomial logistic regression analysis supported with secondary data. The results of the analysis in this study revealed that of the nine factors affecting the country's top position Bitcoin; it's just that the significance is different. Influencing Factors significant in determining the country's position on Bitcoin are factors political and economic factors have no significant effect. So it can be said that state acceptance of Bitcoin tends to be caused political reasons compared to the economy, even though Bitcoin itself is located on economic aspects. If Bitcoin acceptance is legalized, then the countries in the world still must accompany the role of government because Bitcoin is judged not to have clear rules and potentially detrimental to others.

scholarly journals Youth Underemployment in Sulawesi

2021 ◽  
Vol 4 (1) ◽  
pp. 37
Author(s):  
Ahmad Ayis ◽  
Lilik Sugiharti
Keyword(s):  
Labor Market ◽  
Multinomial Logistic Regression ◽  
Young Population ◽  
Micro Data ◽  
Labor Market Conditions ◽  
Factors Affecting ◽  
Multinomial Logistic Regression Analysis ◽  
Independent Variables ◽  
Occupational Characteristics ◽  
The Individual

Underemployment provides a picture of the imperfection of the labor market which causes the capacity of the workforce to be unable to be optimally utilized. Many studies state that young workers are very vulnerable to being underemployed. Youth is the driving force of a country's economic development, so the labor problems inherent in youth must be resolved properly. This study aims to analyze the factors affecting underemployment among young people in Sulawesi Island. The data used in this research is SAKERNAS August 2019 data. The method of analysis used is multinomial logistic regression analysis, where the independent variables of this study are variables related to the individual and occupational characteristics of the young population. This research shows that there are differences in the factors that affect underemployment of young men and women, especially in education and business. The weakness of this research is the unavailability of micro data that can describe labor market conditions.

scholarly journals ANALYSIS OF FACTORS AFFECTING INTERNATIONAL BANKING ACTIVITIES: A FOCUS ON THE TRANSACTIONS OF ISLAMIC INTERNATIONAL TRADE FINANCING Case Study in XYZ Islamic Bank

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Puspita Puspita
Keyword(s):  
International Trade ◽  
Multinomial Logistic Regression ◽  
Secondary Data ◽  
Primary Data ◽  
International Banking ◽  
Trade Finance ◽  
Factors Affecting ◽  
Multinomial Logistic Regression Analysis ◽  
Islamic Bank ◽  
Trade Financing

This research aims to analyze the factors affecting international banking activities,especially the transactions of Islamic International Trade Financing (case studyin XYZ Islamic Bank). Multinomial Logistic regression analysis was used in thisstudy. The independent variable consisted of capability of human resources, customers’ needs of Islamic International Trade Financing (IITF) facilities and product divercification of Islamic International Trade Finance. Meanwhile, the dependent variable was the Islamic International Trade Financing activities at XYZ Islamic Bank. This study used both primary and secondary data where primary data collected from questionnaire survey of 70 respondents and secondary data from various literatures. The result showed that the factor that significantly affected the Islamic International Trade Financing was the custumers’ needs of Islamic International Trade Financing. The other two factors did not significantly affect the Islamic International Trade Financing at XYZ Islamic Bank. The influence of customers in increasing Islamic International Trade Financing at XYZ Islamic Bank was the active customers which had opportunity 6.024 times higher than the passive customers in affecting Islamic International Trade Financing at XYZ Islamic bank. Recommendation from this study is encouraging the consumer to enhance international trade finance transaction to be more recognize the characteristics of XYZ Islamic Bank consumer. This way would be change passive consumer become active consumer.

Analysis of Latent Classes and Factors Affecting them According to the Implementation of a Protection System Against Customer Bullying in Korea

2021 ◽  
Author(s):  
Eun-Mi Beak ◽  
Eun-Hi Choi ◽  
Hye-Sun Jung
Keyword(s):  
Missing Values ◽  
Service Industry ◽  
Multinomial Logistic Regression ◽  
Protection System ◽  
Latent Classes ◽  
Negative Effects ◽  
Factors Affecting ◽  
Multinomial Logistic Regression Analysis ◽  
Number Of Customers ◽  
Worker Monitoring

Abstract Background: Instances of customers bullying employees at the workplace are increasing with the development of the service industry. Korea has established a worker protection system to prevent negative effects of customer bullying on workers’ health. This study identified the latent profile types of protection against customer bullying in workplaces, and determined their predictors.Methods: Data were collected over 28 days, from March 2 to 30, 2020. This study identified whether protection against customer bullying is implemented for workers in person-to-person services, the change effected by this protection, and worker monitoring scope. Data from 1,537 out of 1,550 participants were analyzed, excluding the missing values. Latent classes were identified using Mplus 8.5 for data analysis, and the multinomial logistic regression analysis was performed to review the predictors.Results: The results are as follows. There were four types of latent classes: the lagging type, the medium type, the preventive type, and the excellent type. Variables predicting these types included age, gender, service period, position, occupational category, worker monitoring scope, decrease in the number of customers causing problems, decrease in disputes with customers, and worker satisfaction. Conclusions: First, a system to prevent customer bullying must be adopted in the service industry. Second, there must be a way to improve trust between customers and workers when protective measures are being adopted. Third, managers must establish a system that can both protect workers against bullying and provide customer satisfaction.

Comparison of Risk Factors of Falling for Psychiatric Inpatients and General Ward Inpatients Who Had Fallen

2021 ◽  
pp. 107839032110330
Author(s):  
Wen P. Chang ◽  
Hsiu J. Jen
Keyword(s):  
Risk Factors ◽  
Multinomial Logistic Regression ◽  
Psychiatric Patients ◽  
Length Of Hospital Stay ◽  
Psychiatric Inpatients ◽  
General Ward ◽  
Prevention Measures ◽  
Risk Of Falling ◽  
Multinomial Logistic Regression Analysis ◽  
Risk Factors For Falling

BACKGROUND: For psychiatric patients, the issue of falling is complex. OBJECTIVE: The objective of this study was to compare the risk factors for falling in psychiatric inpatients and general ward inpatients who had fallen. METHODS: The researchers first derived official fall records for 122 psychiatric inpatients and then selected 122 psychiatric inpatients who had not fallen as well as 122 general ward patients who had fallen, matched for gender, age, and length of hospital stay at the time of the fall incident. RESULTS: After controlling other variables, multinomial logistic regression analysis revealed that psychiatric inpatients who had fallen and had dizziness (odds ratio [OR] = 7.11, p < .001), had an unsteady gait (OR = 1.97, p = .030), or were not using aids (OR = 0.42, p = .042) were at greater risk of falling than those who had not fallen. The researchers also found that general ward inpatients who had fallen and had higher Charlson Comorbidity Index scores (OR = 1.77, p < .001), were clear-headed (OR = 27.15, p = .001), had dizziness (OR = 11.55, p < .001), were unable to walk (OR = 64.28, p < .001), or were using aids (OR = 3.86, p = .001) were at greater risk of falling than those who had not fallen before. CONCLUSIONS: The causes of falling among psychiatric inpatients and general ward inpatients are different. Medical personnel should understand the medications and attributes of patients for an accurate assessment of their risk factors for falling and thus implement fall prevention measures and health education to reduce falls.

scholarly journals Association between Social Integration and Face Mask Use Behavior during the SARS-CoV-2 Pandemic in Japan: Results from U-CORONA Study

2021 ◽  
Vol 18 (9) ◽  
pp. 4717
Author(s):  
Nobutoshi Nawa ◽  
Yui Yamaoka ◽  
Yuna Koyama ◽  
Hisaaki Nishimura ◽  
Shiro Sonoda ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Social Network ◽  
Social Integration ◽  
Response Bias ◽  
Multinomial Logistic Regression ◽  
Face Mask ◽  
Neighborhood Association ◽  
Multinomial Logistic Regression Analysis ◽  
Use Behavior

Face mask use is a critical behavior to prevent the spread of SARS-CoV-2. We aimed to evaluate the association between social integration and face mask use during the COVID-19 pandemic in a random sample of households in Utsunomiya City, Greater Tokyo, Japan. Data included 645 adults in the Utsunomiya COVID-19 seROprevalence Neighborhood Association (U-CORONA) study, which was conducted after the first wave of the pandemic, between 14 June 2020 and 5 July 2020, in Utsunomiya City. Social integration before the pandemic was assessed by counting the number of social roles, based on the Cohen’s social network index. Face mask use before and during the pandemic was assessed by questionnaire, and participants were categorized into consistent mask users, new users, and current non-users. Multinomial logistic regression analysis was used to examine the association between lower social integration score and face mask use. To account for possible differential non-response bias, non-response weights were used. Of the 645 participants, 172 (26.7%) were consistent mask users and 460 (71.3%) were new users, while 13 (2.0%) were current non-users. Lower social integration level was positively associated with non-users (RRR: 1.76, 95% CI: 1.10, 2.82). Social integration may be important to promote face mask use.

scholarly journals Spatial distribution of the Barbary Partridge (Alectoris barbara) in Sardinia explained by land use and climate

2021 ◽  
Vol 67 (4) ◽  
Author(s):  
Gianpasquale Chiatante ◽  
Marta Giordano ◽  
Anna Vidus Rosin ◽  
Oreste Sacchi ◽  
Alberto Meriggi
Keyword(s):  
Land Use ◽  
Conservation Status ◽  
Distance Sampling ◽  
Strong Relationship ◽  
European Population ◽  
Factors Affecting ◽  
Brood Rearing ◽  
Management Actions ◽  
Negative Effect ◽  
Study Sites

AbstractMore than half of the European population of the Barbary Partridge is in Sardinia; nonetheless, the researches concerning this species are very scarce, and its conservation status is not defined because of a deficiency of data. This research aimed to analyse the habitat selection and the factors affecting the abundance and the density of the Barbary Partridge in Sardinia. We used the data collected over 8 years (between 2004 and 2013) by spring call counts in 67 study sites spread on the whole island. We used GLMM to define the relationships between the environment (topography, land use, climate) both the occurrence and the abundance of the species. Moreover, we estimated population densities by distance sampling. The Barbary Partridge occurred in areas at low altitude with garrigue and pastures, avoiding woodlands and sparsely vegetated areas. We found a strong relationship between the occurrence probability and the climate, in particular, a positive relation with temperature and a negative effect of precipitation, especially in April–May, during brood rearing. Furthermore, dry crops positively affected the abundance of the species. We estimated a density of 14.1 partridges per km2, similar to other known estimates. Our findings are important both because they increase the knowledge concerning this species, which is considered data deficient in Italy, and because they are useful to plan management actions aimed to maintain viable populations if necessary.

scholarly journals Assessing visuo-constructive functions in patients with subjective cognitive decline, mild cognitive impairment and Alzheimer’s disease with the Vienna Visuo-Constructional Test 3.0 (VVT 3.0)

2021 ◽  
Author(s):  
Noel Valencia ◽  
Johann Lehrner
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Decline ◽  
Multinomial Logistic Regression ◽  
Subjective Cognitive Decline ◽  
Healthy Controls ◽  
Considerable Potential ◽  
Multinomial Logistic Regression Analysis

Summary Background Visuo-Constructive functions have considerable potential for the early diagnosis and monitoring of disease progression in Alzheimer’s disease. Objectives Using the Vienna Visuo-Constructional Test 3.0 (VVT 3.0), we measured visuo-constructive functions in subjective cognitive decline (SCD), mild cognitive impairment (MCI), Alzheimer’s disease (AD), and healthy controls to determine whether VVT performance can be used to distinguish these groups. Materials and methods Data of 671 participants was analyzed comparing scores across diagnostic groups and exploring associations with relevant clinical variables. Predictive validity was assessed using Receiver Operator Characteristic curves and multinomial logistic regression analysis. Results We found significant differences between AD and the other groups. Identification of cases suffering from visuo-constructive impairment was possible using VVT scores, but these did not permit classification into diagnostic subgroups. Conclusions In summary, VVT scores are useful indicators for visuo-constructive impairment but face challenges when attempting to discriminate between several diagnostic groups.

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