20 research outputs found

    Emotional eating in relation to gastrointestinal symptoms and burnout among young women during the pandemic

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    Background The emergence of the coronavirus disease (COVID-19), created unique constraints in everyday life. Emotional eating is a known phenomenon in disasters and is markedly associated with gastrointestinal symptoms. In this study, the aim was to assess the relationship of gastrointestinal symptom severity and COVID-19 burnout with emotional eating among young women during the pandemic disaster. Methods A cross-sectional study approach was used to allow 462 young women participants in this study. The design of the questionnaires was based on demographics, health behaviors, Gastrointestinal Symptom Severity Scale, Emotional Eating Scale and COVID-19 Burnout Scale. Data were analyzed using percentages, mean values, independent t-test, chi-squared test. The hierarchical multiple regression analysis was performed for predicting risk factors of emotional eating. Significance levels were set at the 5% level. Results Of the women, 73.8% were emotional eaters. The level of COVID-19 burnout was moderate with mean score of 29.4±11.1 and emotional eating total score was 21.0±8.1. Increased number of meals, increased weight gain and shorter sleep time were significantly associated with emotional eating (p<0.05). Participants with more than three meals per day were more likely to be emotional eaters (Beta=4.26). The regression model showed that indigestion and COVID-19 burnout were strong risk factors of emotinal eating (p<0.05). Conclusions This study demonstrated that indigestion and COVID-19 burnout were strong risk factors of emotinal eating. Emotional eating could pose an additional health burden to young women in the form of poor food choices

    Attitudes towards COVID-19 vaccination, vaccine hesitancy and vaccine literacy among unvaccinated young adults

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    Background Herd immunity is necessary to control the coronavirus disease 2019 (COVID-19) pandemic. Unfortunately, attaining herd immunity is a significant challenge for current healthcare systems worldwide, and the prevalence of hesitancy toward COVID-19 remains high. The aim of this study was to determine pandemic vaccine hesitancy, attitudes towards COVID-19 vaccine and COVID-19 vaccine literacy level in vaccination period among unvaccinated young adults. Methods This cross-sectional study was carried out in the province of Çorum in Turkey. Unvaccinated young adults (n=860) between the ages of 18-30 studying medicine and non-medical sciences of a university were included in the study. Socio-demographic form, and the scales on Pandemic Vaccine Hesitancy, Attitudes towards the COVID-19 vaccine, COVID-19 vaccine literacy were used to collect the research data. The data were analyzed using percentages, median values, regression analysis. Results The study was completed with 860 participants. In the group, 73.8% were 18-24 years 67.7% were women and 68.0% were infected with the virus. The median scores from the pandemic vaccine hesitancy scale, vaccine literacy and vaccine attitudes were 33, 27 and 30 respectively. Use of social media in daily, vaccine literacy and COVID-19 vaccine attitude were effective factors on pandemic vaccine hesitancy (p<0.05). Negative attitude to vaccines was the most influenced risk factor of vaccine hesitancy (Beta = 0.248). Conclusion Pandemic vaccine hesitancy is a phenomenon that coincides with low vaccine literacy and negative attitudes towards vaccines. COVID-19 vaccination information campaigns should promote group strategies, focusing on emphasising the safety of the vaccine and offer reassurance

    Transvaginal natural orifice endoscopic surgery (vNOTES) for elderly patients

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    Objectives: To evaluate the feasibility and safety of transvaginal natural orifice transluminal endoscopic surgery (vNOTES) in patients 70 years and over. Material and methods: The study consisted of eleven patients aged 70 and over who underwent vNOTES for a variety of gynaecological indications at a tertiary referral hospital. The medical and surgical data were noted: age, parity, history of comorbidity, number and type of previous surgeries, body mass index (BMI), operating time, the requirement of intraoperative conversion, the presence of intra- or postoperative complication, estimated blood loss, pre-and postoperative hemoglobin levels, visual analog scale (VAS) pain scores at 6th, 12th and 24th hours, length of hospital stay, and the final pathology results. Results: vNOTES surgery was performed safely and successfully in eleven patients. There were no intra- and postoperative complications or instances of conversions to conventional laparoscopy or laparotomy. The mean age of patients was 75.91 ± 6.47 (range 70–93), and the mean BMI was 42.49 ± 8.77 kg/m2 (range 30.2–56). Seven cases of endometrioid adenocarcinoma, two cases of uterine leiomyoma, one case of complex atypical hyperplasia, and one case of postmenopausal uterine bleeding due to atrophic endometrium were diagnosed. All endometrial carcinomas were early stage; no adjuvant therapy was needed. Conclusions: vNOTES seems to be a safe and feasible approach for the treatment of gynecologic pathologies in elderly patients. This study suggests that vNOTES become a viable treatment option for existing minimally invasive procedures since it offers better surgical outcomes in various gynecologic surgeries

    International Consensus Statement on Rhinology and Allergy: Rhinosinusitis

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    Background: The 5 years since the publication of the first International Consensus Statement on Allergy and Rhinology: Rhinosinusitis (ICAR‐RS) has witnessed foundational progress in our understanding and treatment of rhinologic disease. These advances are reflected within the more than 40 new topics covered within the ICAR‐RS‐2021 as well as updates to the original 140 topics. This executive summary consolidates the evidence‐based findings of the document. Methods: ICAR‐RS presents over 180 topics in the forms of evidence‐based reviews with recommendations (EBRRs), evidence‐based reviews, and literature reviews. The highest grade structured recommendations of the EBRR sections are summarized in this executive summary. Results: ICAR‐RS‐2021 covers 22 topics regarding the medical management of RS, which are grade A/B and are presented in the executive summary. Additionally, 4 topics regarding the surgical management of RS are grade A/B and are presented in the executive summary. Finally, a comprehensive evidence‐based management algorithm is provided. Conclusion: This ICAR‐RS‐2021 executive summary provides a compilation of the evidence‐based recommendations for medical and surgical treatment of the most common forms of RS

    The Effect of Adaptive Neuro-fuzzy Inference System (ANFIS) on Determining the Leadership Perceptions of Construction Employees

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    In the construction industry, which is Turkey's locomotive and the strategic sector, determining the kind of leadership that impacts employees' productivity is directly related to the success of the business. The identification of leadership types that will motivate and support employees has great importance in terms of construction businesses where the human element is at the forefront. From the point of view of the site chiefs, it is thought that it will benefit all the stakeholders in the construction sector to determine which leader type will motivate which employees. In this study, the productivity relations between the engineers working in construction companies constructing buildings in Adana Province and the employees who are the hierarchically lower-level employees of these persons were investigated using bi-directional surveys. The impact of leadership types on the employees’ productivity has been investigated using machine learning. The effects of ANFIS method and the use of genetic algorithm (GA) on the training of ANFIS for the classification are investigated. The data set, which was prepared within the scope of the study, was classified by ANFIS-genetic algorithm (ANFIS-GA), ANFIS-backpropagation algorithm (ANFIS-BP), and ANFIS-hybrid algorithm (ANFIS-HB) algorithms after the required preprocesses. The 10-fold cross-validation technique is used to test the performance of the classification methods. According to the obtained results, the highest accuracy rate of 82.18% is obtained when ANFIS-GA algorithm is used as a classifier. As a result of the study, it is concluded that for this data set, ANFIS, an artificial neural network-based algorithm, is more successful in determining the leadership perceptions of construction employees when it is trained by GA

    Construction Crew Productivity Prediction By Using Data Mining Methods

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    4th World Conference on Learning, Teaching and Educational Leadership (WCLTA) -- OCT 27-29, 2013 -- Univ Barcelona, Barcelona, SPAINWOS: 000345351800205Ceramic tiling industry has become one of Turkey's fastest growing industries due to the outstanding achievements of Turkish ceramic producers with respect to producing high quality products with lower costs than their equivalents worldwide. Conversely high costs of the end product of Turkish building industry in general show that there is an important problem with the productivity and quality of construction crews. That's why most construction firms begin to realize the need for a detailed research on the factors affecting construction crew productivity. The purpose of this study is thus to classify the factors that affect the productivity of ceramic tiling crews by using data mining methods. To achieve the purpose of our study, a systematic time study was undertaken with ceramic tiling crews in Turkey. Daily productivity values of ceramic tiling crews were collected together with the information related with the factors like the crew size, age and experience of crewmembers. Collected data was classified by using Weka program. The outlier values were first removed from the dataset and decision tree method was used to classify the new dataset. Decision tree method was preferred due to its easiness of use and rapidness in classification. Apriori algorithm, which is the mostly preferred association algorithm in previous studies, was also used to highlight the general trend in the dataset. (C) 2014 The Authors. Published by Elsevier Ltd

    Dynamic somatosensory evoked potential and magnetic resonance imaging in pudendal neuropathy: A comparative study with respect to the clinical diagnostic criteria

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    Aim: Pudendal neuropathy (PN) is a common cause of chronic perineal pain and usually diagnosed long after the onset of symptoms. Diagnostic work-up of PN mainly includes radiologic and neurophysiological studies. However, there is no established diagnostic test to confirm the clinical diagnosis. This study aims to evaluate the correlation between the dynamic pudendal somatosensory evoked potential (SEP) and pudendal magnetic resonance imaging (MRI) in patients with PN diagnosed clinically based on Nantes criteria as the gold standard for comparison. Methods: Forty-three patients (25 females, 18 males) were included in the study. Dynamic pudendal SEP as a novel method, which includes both provocative positioning and stimulation of each side separately, and pudendal MRI were performed in each patient. Results: Dynamic pudendal SEPs were found to be abnormal in 42, normal in 12 of the 54 clinically symptomatic nerves and abnormal in 2, normal in 30 of the 32 clinically asymptomatic nerves. Pudendal MRI was abnormal in 19, normal in 35 of the 54 clinically symptomatic nerves and abnormal in 8 and normal in 24 of the 32 clinically asymptomatic nerves. There was 84% agreement between clinical diagnosis and dynamic pudendal SEP (high sensitivity and specificity), 49% agreement between clinical diagnosis and pudendal MRI (low sensitivity and acceptable specificity), 53% agreement between dynamic pudendal SEP and pudendal MRI. Conclusions: The novel dynamic pudendal SEP method seems to be useful in supporting the clinical diagnosis of PN, while pudendal MRI lacks sufficient sensitivity to be used alone in diagnosis of PN
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