Analysis of spatial distribution characteristics and influencing factors of depression among elderly people in China by TANG Yuxuan, HAN Zhengfeng

“…The differences between the depression group and the non depression group were compared, and multiple Logistic regression analysis was used to explore the influencing factors of depression in the elderly.Results A total of 8,351 elderly people were included. …”
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LASSO regression-based nomogram for distinguishing nontuberculous mycobacterial pulmonary disease from pulmonary tuberculosis: a clinical risk prediction model by Wei Zhang, Tuantuan Li, Haiqing Liu, Xiaoyu Cao, Hao Yan, Yong Gao

“…By gathering clinical data and laboratory inflammation markers of the patients, key predictive factors were identified using LASSO regression. These factors were further analyzed through univariate and multivariate logistic regression analysis to determine the influencing factors of NTM-PD, thereby constructing a nomogram prediction model. …”
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Job stress prevalence in Iranian drivers and contributing factors: Systematic review and Meta-analysis by Parvaneh Isfahani, Rasoul Corani Bahador, Somayeh Samani, Mahdieh Poodineh Moghadam, Mohammad Sarani, Mahnaz Afshari

“…This study aims to systematically review and analyze the prevalence of job stress among Iranian drivers and identify contributing factors. …”
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Factors affecting myopia control outcomes with orthokeratology treatment in children: a retrospective analysis by Fengjiao Wang, Fengjiao Wang, Wenwen Wang, Chengqiang Yin, Shiqi Yang, Xiaomin Zhan, Huan Chen, Jun Deng, Jun Deng

“…Multivariate linear regression analysis was used to identify factors associated with axial length (AL) changes over a 1 year period. …”
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A systematic review and meta-analysis of risk factors for sexual transmission of HIV in India. by Paul Arora, Nico J D Nagelkerke, Prabhat Jha

“…<h4>Conclusions</h4>The risk factors examined in our analysis should remain targets of HIV prevention programs. …”
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Analysis of influencing factors of acute kidney injury after spontaneous intracerebral hemorrhage surgery by ZHANG Lei, QU Tong-jun, WU Sheng, ZHANG Tao, ZHANG Guo-bin

“…The receiver operating characteristic (ROC) curve was drawn to evaluate the predictive efficacy of intracranial pressure (ICP) and serum neuron-specific enolase (NSE) 3 d after surgery and their combination for AKI. Results Logistic regression analysis showed that increased cardiac troponin (OR = 1.011, 95%CI: 1.005-1.017; P = 0.001), and increased ICP 3 d after surgery (OR = 1.289, 95%CI: 1.126-1.477; P = 0.000) were the risk factors for AKI after surgery in sICH patients. …”
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Investigation and analysis of influencing factors on the economic burden of varicella disease in Qingyang, China, 2024 by Beiqin Liu, Xueping Li, Huailu Shi, Lin Yuan, Yongfeng Jing, Yuelong Hui, Meimei Xu, Yan Zhang, Kangjun Zhao, Qiqi Sun, Jingyu Fan, Mingyu Yang

“…The direct and indirect economic burdens were analyzed using Excel 2010 and SPSS 20.0 software. Univariate analysis (Wilcoxon/Kruskal-Wallis tests) was conducted to identify factors associated with economic burden, subsequently, binary Logistic regression was employed for multivariate analysis of significant variables. …”
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Emotional Suppression Characteristics and Influencing Factors of Ovarian Cancer Patients - Latent Profile Analysis by Wu Y, Zhang Y, Yuan J, Yang J, Chen L, Zhu W, Xu C

“…The LPA identified three emotion suppression profiles: high level emotional inhibition-low verbal inhibition (Profile 1,13.0%), high level emotional inhibition-high verbal inhibition (Profile 2,46.1%) and low level emotional inhibition-medium verbal inhibition (Profile 3,40.8%); Multiple Logistic regression analysis revealed that educational attainment (high/low), anxiety symptoms, severe family dysfunction, disease recurrence (yes), marital status (divorced/widowed), and social constraint were significant contributing factors.Conclusion: Our research findings reveal significant heterogeneity in emotional suppression among ovarian cancer patients, which provides valuable information for tailoring intervention measures to meet individual needs, especially for patients in the high-level emotional inhibition group. …”
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Analysis on related risk factors for cardiocerebral vascular diseases in patients with diabetic kidney disease by ZHANG Zhi-xu, GAO Ai-qing, RAO Xiao-pang

“…Multivariate Logistic regression analysis showed that age,SUA,Apoa, LDL-C,UACR and serum β₂-MG levels were independent influence factors for cardiocerebral vascular complications in diabetic kidney disease patients（P<0.05）.Conclusions Cardiocerebral vascular complications are prone to detect in DKD patients, Age, SUA, Apoa, LDL-C, UACR and β₂-MG levels influence incidences of cardiocerebral vascular complications in DKD patients.…”
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Quality of newborn care and associated factors: An analysis of the 2022 Kenya demographic and health survey. by John Baptist Asiimwe, Earnest Amwiine, Angella Namulema, Quraish Sserwanja, Joseph Kawuki, Mathius Amperiize, Shamim Nabidda, Imelda Namatovu, Lilian Nuwabaine

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Tenosynovial Giant Cell Tumors of the Hand: Analysis of Risk Factors for Surgical Margin and Recurrence by Tolgahan Cengiz, Şafak Aydın Şimşek, Ercan Bayar, Furkan Erdoğan, Alparslan Yurtbay, Hüseyin Sina Coşkun, Ahmet Pişkin, Nevzat Dabak

“…This study analyzed the risk factors associated with surgical margin positivity and local recurrence in patients treated for localized hand TGCTs, contributing to more accurate preoperative risk stratification. …”
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The study on the clinical efficacy of endometrial receptivity analysis and influence factors of displaced window of implantation by Shaoyuan Xu, Honglu Diao, Yao Xiong, Changjun Zhang, Ying Zhang, Yuanzhen Zhang

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Factors associated with secondary thoracotomy for hemostasis following lung surgery: a retrospective analysis by Junwei Xie, Junwei Xie, Junwei Xie, Hongliang Wang, Tianci Han, Wei Tong, Xiaoqi Guo, Min Zhang, Dongzhe Liu, Liang Zhang, Liang Zhang, Liang Zhang, Hongxu Liu, Hongxu Liu, Hongxu Liu

“…Statistical analysis was performed using SPSS 26.0; logistic regression was used to identify risk factors.ResultsAmong 15,156 patients who underwent lung surgery, 39 (0.257%) required secondary thoracotomy. …”
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Sociological Analysis of Factors Affecting the Selection of the Type of Reference Groups among the Citizens of Kermanshah by Azim shakari, Omid aliahmadi, Ali moradi, roshanaei Ali

“…The main purpose of this article is a sociological analysis of the factors affecting the selection of the type of reference groups among the citizens of Kermanshah, which was done by survey method and using a questionnaire. …”
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ANALYSIS OF FACTORS RELATING TO NURSES' COMPLIANCE IN THE IMPLEMENTATION OF SURGICAL SAFETY CHECKLIST IN WEST KALIMANTAN by Putra Ardhana, Suriadi Jais, Lidia Hastuti, Haryanto, Dedi Damhudi

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Choosing a medical specialty course in Italy: explorative analysis of factors related to the choice by Paolo Trerotoli, Massimo Minerva, Nicola Bartolomeo, Massimo Giotta, Ilaria Dargenio, Giammaria Liuzzi, Carlo Signorelli

“…In this study we wanted to analyze the possible factors that determined the choice of a given graduate school and the place where to attend it in the year 2021. …”
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The analysis of activity of the construction organizations based on studying of profit indicators by A. V. Sharkova, T. I. Chinaeva, A. S. Klepackaya

“…Methodological basis of the research is statistical methods of data analysis: comparative and dynamical analysis, variational analysis, correlation and regression analysis.Results. …”
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Analysis of red blood cell lifespan and associated influencing factors in anemic dialysis patients by Jiaqing Wu, Bei Wu, Weili Gao, Yan Wang, Li Zhu, Li Bai, Lixia Lu, Ji Feng, Yanyan Shao, Liangying Gan, Huiping Zhao, Chunfang Wang, Xinju Zhao, Li Zuo

“…The average RBC lifespan was 65.2 ± 28.55 days. The logistic regression analysis indicated treating with roxadustat rather than rHuEPO [OR 2.94, 95% CI (1.46, 5.95), p < 0.01], male [OR 2.15, 95% CI (1.08, 4.29), p = 0.03], higher body mass index (BMI) [OR 1.17, 95% CI (1.07, 1.27), p < 0.01], and higher total iron-binding capacity (TIBC) [OR 1.04, 95% CI (1.01, 1.06), p = 0.01] were independent risk factors for the shorten of RBC lifespan. …”
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Comparative Study of Blood Hemoglobin between Calculated Method through ABG Analyzer and Impedance Method through Fully Automated Blood Cell Counter by Arvi V Mehta, Sapna P Patel, Hina B Baraiya, Piyush B Tailor

“…Data was collected and analyzed by Bland-Altman plot and linear regression graph using Microsoft Excel. …”
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Analysis of Wind–Wave Relationship in Taiwan Waters by Kai-Ho Cheng, Chih-Hsun Chang, Yi-Chung Yang, Yu-Hao Tseng, Chung-Ru Ho, Tai-Wen Hsu, Dong-Jiing Doong

“…This study used wind and wave data collected by the ten weather buoys in the waters surrounding Taiwan to analyze regional sea states. The relationship between wind speed and significant wave height (SWH) was examined using regression analysis. …”
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