Analysis of the incidence of post-cholecystectomy diarrhea and its influencing factors in Hainan Province by Fengjiao Mao, Daya Zhang, Xianfeng Huang, Da Li, Wenrui Chen, Fan Zeng, Chen Chen, Shimei Huang, Yanting Lv, Yuliang Huang, Runyu Chen, Ying Mo, Qiuli Nie, Shuo Zhou, Xiaodong Zhang, Qicen Yao, Yiping Du, Bo Ran, Yan Tan, Na Liu, Yunqian Xie, Feihu Bai

“…Binary logistic regression analysis showed that age (OR = 0.532, P = 0.010), BMI (OR = 40.615, P < 0.001), dietary patterns (OR = 0.635, P = 0.013), and history of diabetes (OR = 0.263, P < 0.001) were independent risk factors. …”
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Analysis of prognosis and influencing factors of sepsis patients receiving blood component transfusion by ZHAO Bingjie, CAO Bowei, ZHU Yuanpei, ZHANG Ningjie

“…The [M(P25, P75)] for C-reactive protein (mg/L), hemoglobin (g/L), and platelet count (×109/L) in the transfusion vs non-transfusion groups were 178.0(156.1-178) vs 102.7(74.0-119.6), 88.5(72.3-113.0) vs 110.5(101-121.8), and 63.0(26.5-156.5) vs 202.5(108.3-286.8), respectively (all P<0.05). Logistic regression analysis revealed that hemoglobin level, platelet count, lactate concentration, and the storage duration of transfused red blood cells were independent risk factors affecting the survival outcomes of sepsis patients receiving transfusions (P<0.05). …”
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Analysis of the incidence and related factors of insulin resistance in patients with non-diabetic nephropathy by 卢永新, 杨毕, 孙阳, 李永艳, 王乙安, 王瑾瑞, 童宗武

“…Objective To explore the incidence of insulin resistance（IR） and examine the IR-related factors in patients with non-diabetic chronic kidney disease（CKD）.Methods From March 2017 to March 2018,non-diabetic CKD hospitalized patients fulfilling the inclusion criteria were analyzed.And the relevant biochemical parameters were recorded.Results The incidence of IR in CKD1-5 phase was 24.53%,29.76%,28.40%,26.42% and 24.42% respectively and no inter-group statistical difference existed in IR incidence（P>0.05）.Correlation analysis indicated that body mass index（BMI）,calcium and triglyceride were positively correlated with IR;hemoglobin, iron and total cholesterol were negatively correlated with HOMA-IR.Other parameters were not correlated with IR.Further binary Logistic regression revealed that normal triglyceride（OR=0.360、P=0.001）,normal BMI（OR=0.272,P=0.004） and normal hemoglobin level（OR=0.301,P=0.001） were protective factors of IR.Metabolic acidosis（OR=6.264,P=0.025） and 25（OH）₂D₃ deficiency（P=0.004,OR=3.032） were risk factors of IR.Conclusion IR occurs in all stages of CKD.However, no statistical difference exists in the incidence of IR in all stages.No significant difference in IR exists among hemodialysis, abdominal dialysis, non-dialysis and different age groups.Normal triglyceride, normal BMI and normal hemoglobin level are protective factors for IR.And metabolic acidosis and 25（OH）₂D₃deficiency are risk factors for IR.…”
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Machine learning and spatio-temporal analysis of meteorological factors on waterborne diseases in Bangladesh. by Arman Hossain Chowdhury, Md Siddikur Rahman

“…Exploratory spatial analysis, spatial regression and tree-based machine learning models were utilized to analyze the data.…”
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Analysis of recurrence of risk factors after transcatheter bronchial artery embolization for hemoptysis by Yanchao Dong, Jianli An

“…Single factor analysis and multiple factor logistic regression were used to analyze high-risk factors for hemoptysis recurrence. …”
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Latent profile analysis and influencing factors of psychological resilience in parents of children with autism by Chunyu Wang, Yi Shuai, Huan Wang, Zhuang Ma

“…From October 2023 to October 2024, a survey was conducted with 350 parents of autistic children at rehabilitation departments and hospitals in western Liaoning Province. A latent profile analysis was performed to assess the levels of psychological resilience, while univariate analysis, variance analysis, and logistic regression analysis were used to identify factors influencing the latent categories of psychological resilience.ResultsThe latent profile analysis identified three categories of psychological resilience among parents: low resilience – pessimistic vulnerable type (34.8%), moderate resilience – comprehensive type (42.1%), and high resilience – strong tough type (23.1%). …”
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Analysis of the characteristics of intradialytic blood pressure variability with age and the relevant influencing factors by Li Xiu-ji, Zheng Jie, Chen Shen, Huang Wen, Zhang Guo-juan

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Investigating the efficiency of medical and health resources and its influencing factors in the Yangtze River Delta urban agglomerations: based on the undesirable super-efficiency... by Yi Chen, Yi Chen, Qianlong Li, Yuting Zhang, Xiaoya Zhang, Handong Zheng

“…The Malmquist index is utilized to analyze the changes in dynamic efficiency, and the panel Tobit regression model is utilized to analyze the influencing factors of comprehensive efficiency of medical and health resource allocation in the Yangtze River Delta urban agglomeration. …”
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Analysis of Risk Factors Associated with the Incidence of Placenta Accreta at an Indonesian Tertiary Hospital by Aisha Grayli Cahyani, Willy Sandhika, Gatut Hardianto

“…The purpose of this study was to analyze the risk factors associated with the incidence of placenta accreta in women giving birth at Dr. …”
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Spatial and multilevel analysis of determinant factors for safely managed sanitation services in Ethiopia by Belay Desye, Abebe Kassa Geto, Chala Daba, Anmut Endalkachew Bezie, Semere Reda, Tadesse Sisay, Melaku Getachew, Leykun Berhanu

“…SaTScan version 10.2.5 software was used for detecting and analyzing clusters. To identify determinant factors of unimproved sanitation services, a multilevel logistic regression model was employed. …”
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An Analysis of the Urban Green Space Index in Ecuadorian Cities Through Mathematical Modeling: A Territorial Analysis by Andrea Damaris Hernández-Allauca, Jorge Gualberto Paredes Gavilánez, Sandra Patricia Miranda Salazar, Carla Sofía Arguello Guadalupe, Juan Federico Villacis Uvidia, Eduardo Patricio Salazar Castañeda, Vilma Fernanda Noboa Silva, Roberto Fabián Sánchez Chávez

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Predicting suicidal behavior outcomes: an analysis of key factors and machine learning models by Mohammad Bazrafshan, Kourosh Sayehmiri

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Analysis of sleep quality and influencing factors in migraine patients with patent foramen ovale by Hu Yijun, Zhang Diwen, Wang Libo, Liu Bo, Ye Hongmei, Zhao Xiongfei

“…PFO patients was diagnosed through c-TCD combined with c-TTE. Binary logistic regression analysis was employed to examine the influencing factors of sleep quality in PFO-positive migraine patients.ResultsA total of 673 （100.00%） migraine patients were enrolled， including 223 PFO-positive cases （33.14%） and 450 PFO-negative cases（66.86%）. …”
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Analysis of related influencing factors of prognosis and microbiology in patients with peritoneal dialysis-associated peritonitis by Liu Xiao-hua, Liu Gen-yan, Ren Hai-bin, Liu Kang, Wei Ji-fu, Mao Hui-juan

“…The withdrawal group is considered a technical failure group.ResultsA total of 125 peritonitis cases in 79 selected peritoneal dialysis patients included 78 cases in the cured group，20 cases in the relapse group，27 cases in the withdrawal group. Logistic regression analysis indicated that reduced serum iron， initial treatment regimen of non-first-generation cephalosporin plus third-generation cephalosporins were independent risk factors for withdrawal from peritoneal dialysis in patients with peritoneal dialysis（<italic>P</italic>&lt;0.05）.Subgroup analysis found that patients in failure group had lower water levels than those in the survival group（<italic>P</italic>&lt;0.05）.Gram-positive organisms remained major cause of PD-related peritonitis（58.65%，61/104）.Methicillin resistance was noted in 21（67.74%） of 31 coagulase negative staphylococcus isolates. …”
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A New Endogenous–Exogenous Factor Framework to Analyze China’s Distinctive Land Supply Participation in Macro-Control Processes During the 2001–2021 Period by Yingying Tian, Guanghui Jiang, Yaya Tian

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Spatiotemporal evolution of agricultural carbon emissions intensity in China and analysis of influencing factors by Xue Zhu, Xiwu Shao

“…Abstract This study aims to investigate the spatiotemporal evolution of China’s agricultural carbon emissions intensity and their influencing factors from 2001 to 2022. It employs analytical methods such as kernel density estimation, Gini coefficient, Moran’s index, spatial Markov analysis, and spatiotemporal geographically weighted regression (GWTR) to visualize the data and analyze the results. …”
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Analysis of Factors Affecting Manufacturing Companies in Indonesia Performing a Switching Auditor by Atika Sukma Winata, Indah Anisykurlillah

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Cluster analysis of the factors influencing innovative development of economy in regions of Russian Federation by V. N. Yur’ev, D. M. Dybok

“…As a result there were drawn two tables: 1) with the Euclidian distances; 2) with the regression models and the meaningful factors. Thereby, regions were grouped. …”
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Analysis of the Current Status and Influencing Factors of Social Alienation in Adolescent Scoliosis Patients by Yi Zeng, Qin Fu, Xia Li

“…Multivariate linear regression analysis was employed to identify independent factors influencing social alienation. …”
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Analysis of influencing factors and mechanism of classification accuracy of personal waste of urban residents by Ruike Ye, Mengying Bian, Keqi Yi, Yuxin Liu, Qingwei Zeng, Jianuo Zhang

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