Latent class analysis and influencing factor study of work-related musculoskeletal disorders among operating room nurses in tertiary hospitals by Xiaogui TANG, Li LI, Yue ZHAO, Ningning HU, Feng FU, Boya LI, Mengru YANG, Yinglan LI

“…Data were collected through a general information questionnaire, an ergonomic questionnaire for operating room nurses, and the Chinese Musculoskeletal Disorders Questionnaire. Latent class analysis was employed to examine the patterns of WMSDs among the nurses, while chi-square test and multinomial logistic regression were utilized to analyze the influencing factors of WMSDs. …”
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Analysis of factors influencing tumor volume doubling time in hepatocellular carcinoma and its predictive value for progression-free survival by Ting Huang, Yong Chen

“…We calculated the TVDT using the equation: TVDT = [(T - T0) ln2]/[ln(V/V0)]. We analyzed several factors that might affect TVDT through logistic regression. …”
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Risk factor analysis and predictive model development for secondary failure of platelet recovery following allogeneic hematopoietic stem cell transplantation by Xiru Peng, Juan Cheng

“…The purpose of this study is to analyze the risk factors associated with SFPR following allo-HSCT, develop a nomogram-based predictive model for SFPR, and validate its accuracy. …”
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Ruptured intracranial aneurysm with spontaneous occlusion of internal carotid artery: clinical characteristics, prognostic risk factors, and survival analysis by Bo Liu, Pengran Liu, Yang Guo, Hao Yin, Xihai Zhu, Yaohua Li, Bangyue Wang, Yan Zhao, Linchun Huan, Xiaopeng Cui, Xuequan Feng, Xinyu Yang, Xiaojun Zhang

“…Logistic regression analysis was used to identify independent risk factors associated with patient prognosis. …”
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Risk factors analysis and predictive model construction of infection after pterygium excision combined with limbal stem cell transplantation by WU Jing，TIAN Jingjing，MENG Jie

“…The general data and clinical data of the two groups were collected and analyzed, and the influencing factors of infection were analyzed through multivariate logistic regression analysis. …”
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Analysis of off-label drug use and its influencing factors in pediatric patients undergoing otolaryngology, head, and neck surgery by Zichao Ji, Xin Wang, Jiawei Wang

“…Clinical pharmacists collected and analyzed off-label drug use. Univariate and multivariate logistic regression were employed to analyze the factors associated with off-label drug use.ResultsIn total, 22,487 prescriptions were included, of which 2,269 were off-label, resulting in an incidence rate of off-label drug use of 10.09%. …”
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Multitime-point monitoring and analysis of influencing factors of early postoperative blood glucose and lipid levels in pediatric liver transplantation by LU Yefeng, GAO Leiqing, NI Xiaoxiao, FU Jingjing

“…The t-test or Mann-Whitney U test was used to analyze factors influencing PBG, Cox regression analysis was used to analyze factors influencing FBG, and logistic regression analysis was used to analyze factors influencing TC.Results·A total of 82 pediatric LT patients were included, with 45 males (54.9%) and 37 females (45.1%). …”
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Analysis and Modelling of Influence Factors in the Configuration of a Sustainable University. Case Study: “Ștefan cel Mare” University of Suceava by Daniela Mihaela Neamţu, Ruxandra Bejinaru, Cristian Valentin Hapenciuc, Iulian Condratov, Pavel Stanciu

“…We undertook an exploratory research, the results of which we processed through factorial analysis and logistic regression, carried out using SPSS v.20. …”
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The Factors Influencing Banks' Risk-Taking Behavior: Evidence from The Turkish Banking Industry by Yüksel Aydın, Erdal Demir

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Multilevel Analysis of Individual and Community Level Factors Associated with Institutional Delivery in Ethiopia, 2016 Ethiopian Demography and Health Survey by Masrie Getnet, Addis Temie, Tilahun Fufa, Lake Kumlachew, Abraham Teym

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Comprehensive analysis of risk factors and nomogram development for predicting hepatic metastasis following radical resection of adenocarcinoma of the esophagogastric junction by Lili Deng, Jie Sun, Jing Wang, Xiaokai Duan, Baozhong Li

“…Clinical and pathological information was collected, and independent factors significantly associated with postoperative liver metastasis were identified using univariate and multivariate Cox regression analyses. …”
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Analysis of Factors Affecting the Stress Level and Self-Medication Practice in Primary Dysmenorrhea in Adolescents during COVID-19 Pandemic by Nurul Kusumawardani, Endang Darmawan, Jasmine Amira Hatisuci, Iftita Nuratika Ramadhanti, Rahma Sakti Oktavia, Very Ainun Fauziah, Trisna Styawaty, Ratih Nugraeni

“…The results are presented in the form of frequency and percentage (%), and the determinants are analyzed using χ2-test and binary logistic regression models. …”
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Analysis of the factors influencing liver regeneration after hepatectomy in hepatocellular carcinoma patients and the relationship between liver regeneration and prognosis by Hongliang Liu, Xiaojing Gai, Xi Wang, Lingyan Liu, Lantian Tian, Bin Zhou

“…Patients were stratified into high and low-regeneration groups based on median HRR. Univariate analysis and multivariate logistic regression were applied to identify factors influencing regeneration. …”
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Analysis of clinical characteristics and influencing factors of fever after electroconvulsive therapy: a retrospective study from the Chinese population by Mengmeng Zhang, Mengmeng Zhang, Rui Xu, Rui Xu, Juan Wang, Juan Wang, Chunyan Wu, Huicong Ren, Huicong Ren, Huicong Ren, Zhaohui Zhang, Zhaohui Zhang, Juan Li, Juan Li, Juan Li, Juan Li

“…Patients were subsequently divided into two groups: a fever group, in which the body temperature was ≥ 38°C; and a non-fever group, in which the body temperature was <38°C.ResultsA total of 895 patients underwent 7801 units of ECT treatment. Fever was analyzed at the patient and treatment unit level. At the patient level, 104 out of 895 patients (11.6%) experienced at least one fever within 24 hours after ECT, Compared with the non-fever group, the fever group showed statistically significant differences in age, gender, types of psychiatric ward (closed or open), and anesthetic type (all P < 0.05) but not in the total number of ECT units or diagnoses, Logistic regression analysis identified the risk variables for fever as younger age (≤ 29), closed psychiatric ward, etomidate administration, and being male; and at the treatment units level, among the 7,801 ECT units, fever occurred in 129 units (1.7%), with a median maximum temperature of 38.5 (38.0–40.3)°C. …”
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Psychological correlates of eating behavior in overweight/obese adolescents in Taiwan: Psychometric and correlation analysis of the Three-Factor Eating Questionnaire (TFEQ)-R21 by Yu-Wen Lin, Chung-Ying Lin, Carol Strong, Chih-Hsiang Liu, Yi-Ping Hsieh, Yi-Ching Lin, Meng-Che Tsai

“…We applied a confirmatory factor analysis to test the model fit of TFEQ-R21 for the three pre-conceptualized domains in the data. …”
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Analysis of the incidence and influencing factors of high-risk foot in elderly patients with type 2 diabetes in a community in Beijing. by Gaoqiang Li, Qian Lu, Bing Wen, Huijuan Li, Jin Liu, Yanming Ding

“…<h4>Results</h4>The detection rate of high risk foot of type 2 diabetes was 51.7%. Binary Logistic regression analysis showed that age, glycosylated hemoglobin, hyperlipidemia, insulin therapy, and diabetic retinopathy were independent influencing factors for the occurrence of diabetic High-risk foot.…”
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Analysis of influencing factors and interaction effects on stroke recurrence in patients with middle cerebral artery occlusion treated with mechanical thrombectomy by Guoliang Li, Zhen Feng, Huiyan Zhang, Yongzhou Zou, Hong Xv, Shunfu Jiang

“…Use the Andersson model to analyze the binary interaction between the model and other factors. …”
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Analysis of factors affecting difficulty in handling oral medicine using electronic medication notebook-based personal health records by Yuri Shimizu, Masami Tsuchiya, Masaki Asano, Shungo Imai, Hayato Kizaki, Yukiko Ito, Makoto Tsuchiya, Ryoko Kuriyama, Nao Yoshida, Masanori Shimada, Takanori Sando, Tomo Ishijima, Satoko Hori

“…A size threshold was identified: a combined long and short diameter of 13.3 mm or less was most associated with handling problems (ROC-AUC = 0.834). Binomial logistic regression analysis revealed that difficulty in applying force with the hands (OR = 2.64), prescription of small tablets or capsules (OR = 2.52), and medical histories of hypertension (OR = 1.69) and osteoporosis (OR = 4.99) were significantly associated with reported difficulty. …”
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Analysis of Adherence Status and Influencing Factors Among Middle-Aged and Elderly Hypertension Patients in Rural Areas of Northeast China by Xinyuan Lu, Jiwei Wang, Sikun Chen, Lin Lv, Jinming Yu

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Analysis of Dental Specialty Center target achievement and associated factors, Brazil, 2019-2022: a cross-sectional study by Luciana Leônia Soares Freire, Rênnis Oliveira da Silva, Rilary Rodrigues Feitosa, Lucas Xavier Bezerra de Menezes, Renato Taqueo Placeres Ishigame, Yuri Wanderley Cavalcanti, Edson Hilan Gomes de Lucena

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