Showing 701 - 720 results of 4,656 for search '"\"((\\"factor AND regression analyzed\\") OR (\\"factors AND regression analyzed\\"))*\""', query time: 0.20s Refine Results
  1. 701

    A multicenter study on rates and risk factors of proliferative vitreoretinopathy in a low-income economy. by Ogugua Ndubuisi Okonkwo, Martha-Mary Udoh, Olukorede Adenuga, Wilson Ovienria, Affiong Ibanga, Dennis Nkanga, Idris Oyekunle, Toyin Akanbi, Chineze Agweye

    Published 2025-01-01
    “…Biodata, presenting complaints, symptom duration, best corrected visual acuity, extent of RRD, status of macular attachment, presence, and grade of PVR and fellow eye were assessed. Data was analyzed using SPSS version 22 (Pearson Chi-Square test, Mann-Whitney U test, Fisher's Exact test, and logistic regression analysis).…”
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  2. 702

    The role of dietary diversity and other factors to stunting among infants and toddlers in West Java, Indonesia by Surmita Surmita, Rini Sekartini, Aria Kekalih, Dian Novita Chandra

    Published 2025-08-01
    “…Data were analyzed using IBM SPSS Statistics version 27. Multiple logistic regression with complex sampling analysis was applied to account for survey weighting and ensure representativeness. …”
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  3. 703

    Analysis of risk factors related to thyroid function abnormality caused by programmed death-1 inhibitors by Lihong WANG, Huiyang SONG, Shufei ZANG, ling YE, Xuefei DANG

    Published 2025-08-01
    “…Univariate and multivariate logistic regression analyses were performed to identify related factors for TFA development. …”
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  4. 704

    Comparison of calcium-phosphorus metabolism between peritoneal dialysis and hemodialysis patients and analysis of influencing factors by CHENG Li, MIN Yong-long, WAN Sheng, HE Da, CHEN Fang, ZHANG Yan-min, XIONG Fei

    Published 2020-01-01
    “…Objective To compare the effects of peritoneal dialysis(PD)and hemodialysis(HD)on calcium-phosphorous metabolism in uremic patients,and to analyze the related influencing factors so as to provide basis and improvement measures for the clinical treatment.Methods The clinical data of PD and HD patients undergoing maintenance PD and HD in our hospital from October 1<sup>st</sup>,2018 to October 1<sup>st</sup>,2019 were collected and analyzed retrospectively.The serum calcium,phosphorus and intact parathyroid hormone were collected and compared between the patients with PD and HD at 0,3,6 and 12 months of dialysis.Multivariate linear regression was used to analyze the related influencing factors of calcium-phosphorus metabolism abnormality.Results(1)The levels of serum phosphorus at 3(t=-4.044,P<0.001),6(t=-5.886,P<0.001)and 12(t=-7.808,P<0.001)months of dialysis in the HD group were all higher than those in the PD group.The levels of serum calcium at 6(t=6.521,P<0.001)and 12(t=6.841,P<0.001)moths of dialysis were lower than those in the PD group,and the level of calcium-phosphorus product at 12 months(t=-2.080,P=0.038)was higher than that in the PD group.(2).After 12 months of dialysis,the compliance rates of serum phosphorus(χ<sup>2 </sup>=4.329,P=0.037),serum calcium(χ<sup>2 </sup>=5.587,P=0.018)and calcium-phosphorus product(χ<sup>2 </sup>=5.750,P=0.016)in the PD group were significantly higher than those in the HD group.(3)The multivariate linear regression analysis of the factors that may influence the calcium-phosphorous metabolism in dialysis patients showed that the dialysis modality(B=-0.287,P=0.005),age(B=-0.010,P=0.005),dialysis duration(B=-0.010,P=0.027),and sodium(Na)(B=-0.026,P=0.033)were the independent influencing factors of the level of serum phosphorus,with negative correlation.Conclusions Compared with HD,the levels of serum phosphorus and calcium can be controlled better by PD.Low age,low dialysis age and low sodium were independent influencing factors of increase blood phosphorus level.…”
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  5. 705

    Hospitalization experience and associated factors among Chinese patients with cancer: a cross-sectional study by Wenjuan Gao, Youyou Hu, Huayi Chu, Doudou Yu, Keyi Tang, Xiuwen Chen, Ying Zhu, Jing Han

    Published 2025-07-01
    “…The acquired data were analyzed using the Shapiro-Wilk test, univariate analysis, and multiple linear regression. …”
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  6. 706

    The role of iron deficiency and factors associated with anemia during pregnancy in Southeastern Tigray, Ethiopia, 2020. by Tedros Bereket, Freweini Gebrearegay Tela, Gebretsadkan Gebremedhin Gebretsadik, Selemawit Asfaw Beyene

    Published 2025-01-01
    “…The data were entered into Epi data 3.1 and analyzed using SPSS version 25. Candidate variables with a p-value ≤ 0.25 in the bivariate logistic regression were considered to the final model of multivariate logistic regression analysis. …”
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  7. 707

    Factors Associated with Problematic Alcohol Consumption among Adults in Putalibazar Municipality of Syangja District, Nepal by Rajeev Nepal, Jyoti Priyanka, Pradip Chhetri, Suruchi Godar, Pratigya Timsina, Saroj Doranga

    Published 2022-01-01
    “…Variables which were found statistically significant at 95% CI (p ≤ 0.05) during bivariate analysis were further analyzed using the logistic regression model in multivariable analysis to identify determinants associated with problematic alcohol consumption among adults. …”
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  8. 708

    Risk factors for bloodstream infection and predictors of prognosis in rectal carriers of carbapenem-resistant Klebsiella pneumoniae by Miaomiao Wu, Danhong Yang, Xi Li, Yicheng Huang, Hongying Pan

    Published 2025-08-01
    “…The cohort consisted of 34 patients with BSI (CRKP BSI group) and 133 patients without BSI (No-BSI CRKP group).Logistic regression was employed to identify risk factors for progression from CRKP intestinal colonization to secondary BSI.Cox proportional hazards regression models were used to analyze independent risk factors for 28-day crude mortality from CRKP BSI. …”
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  9. 709

    The Factors Affecting the Fertility of Women Undergoing Transcervical Resection of Intrauterine Adhesions: A Retrospective Study by Wenqian Xiong, Xiaohui Hu, Shifu Hu, Yi Liu, Chun Yang

    Published 2024-05-01
    “…General clinical data were collected and analyzed using univariate and multivariable logistic regression analyses. …”
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  10. 710

    Identification of the risk factors for predicting severe acute kidney injury in patients after liver transplantation by Ran Zhou, Huan Wang, Qi Yang, Qi Yang, Lin Han

    Published 2025-07-01
    “…Multivariable logistic regression analysis revealed that gender (female), total bilirubin, serum creatinine, and Simplified Acute Physiology Score II (SAPS II) were independent risk factors for severe AKI in LT patients. …”
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  11. 711

    Risk factors of urinary retention after PPH in patients with grade Ⅱ-Ⅳ mixed hemorrhoids by Yan Meiyue, Liu Renghai, Gao Jing, Zhang Huili, Gong Xihao, Huang Siyao

    Published 2023-04-01
    “…Clinical data of all patients were collected, and risk factors for postoperative urinary retention after PPH procedure in patients with grade Ⅱ-Ⅳ mixed hemorrhoids were analyzed by univariate and multivariate Logistic regression analysis. …”
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  12. 712

    Prevalence and clinical risk factors of cardiovascular disease in patients with cancer: a cross-sectional study by Cheng Jiang, Yun-Xiang Chen, Qing-Shan Geng, An-Bang Liu

    Published 2025-07-01
    “…Lastly, the clinical risk factors for CVD in patients with cancer were identified by conducting multivariable logistic regression. …”
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  13. 713

    Analysis of arteriovenous fistula failure factors and construction of nomogram prediction model in patients with maintenance hemodialysis by Shengjie Guo, Yurou Wang, Chao Zou, Liping Liu, Tingting He, Chengcheng Sun, Xiaosu Gan, Xiaofang Tian, Liying Yuan

    Published 2025-12-01
    “…The purpose of this study was to analyze the factors associated with AVF failure in MHD patients and to establish a nomogram prediction model.Methods Data on end-stage renal disease (ESRD) patients undergoing MHD at our hemodialysis center were retrospectively collected and analyzed. …”
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  14. 714

    Evolution of causes of death in maintenance hemodialysis patients and the influencing factors: a single-center study by Ye Zi-ling, Yang Fu-yan, Liu Yu-chen, Lu Xu-ke

    Published 2025-06-01
    “…ObjectiveTo investigate changes in the causes of death among maintenance hemodialysis (MHD) patients over eight years, and to analyze associated risk factors, thus providing theoretical support for reducing the mortality in this population.MethodsClinical data of 636 MHD patients treated in the Xinxiang Hemodialysis Center from January 1, 2016 to December 31, 2023 were retrospectively collected. …”
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  15. 715

    Prevalence and Factors Associated with Teenage Pregnancy, Northeast Ethiopia, 2017: A Cross-Sectional Study by Yohannes Ayanaw Habitu, Anteneh Yalew, Telake Azale Bisetegn

    Published 2018-01-01
    “…Data were collected using a structured questionnaire, entered, and analyzed appropriately. Odds ratios with 95% confidence interval and P-values were computed using appropriate logistic regression models to determine the presence and strength of associations between the dependent and independent variables. …”
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  16. 716

    Incidence, risk factors, and outcomes of respiratory related hospitalizations in older patients with COPD, asthma, and bronchiectasis by Hyunwoo Chae, Kwanghee Jun, Ju-Yeun Lee

    Published 2025-07-01
    “…This study aimed to estimate the nationwide incidence of such hospitalizations among older adults with chronic respiratory diseases, identify risk factors, and assess outcomes like intensive care needs and mortality. …”
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  17. 717

    Analysis of the long-term prognosis and the influencing factors of the patients with renal damage in Sjgren syndrome by BAI Li-jie, LI Hong-bin

    Published 2017-01-01
    “…Objective To analyze the long-term prognosis and influencing factors of renal involvement in Sjgren syndrome(RISS).Methods A total of 104 patients with RISS in Department of Nephrology in our hospital from January 2005 to January 2010 were selected as the research objects,and all wer given immunosuppressive agents.To assess whether doubled blood creatinine as standard can accurately evaluate the long-term prognosis of the patients,good prognosis group and poor prognosis group were set up,and the influencing factors were analyzed.Results During the follow-up period of 2-10 years,the incidence of poor prognosis was 18.27%.Univariate analysis showed that the poor prognosis of RISS was associated with female,serum creatinine,globulin,albumin,serum IgG,chronic renal tubulointerstitial lesions.Multiple Logistic regression revealed that globulin,albumin and serum IgG were the independent risk factors for poor prognosis of RISS.Pearson correlation analysis indicated that globulin,albumin and serum IgG levels were positively correlated with serum creatinine level(P<0.05).ROC curve analysis demonstrated that the optimal cutoff of globulin to predict renal damage was 0.66g/24h(AUC=0.825,sensitivity 0.826,specificity 0.764),that of albumin was54.36g/24h(AUC=0.845,sensitivity 0.816,specificity 0.762),and that of IgG was 34.72g/L(AUC=0.812,sensitivity 0.806,specificity 0.752).Conclusions The globulin,albumin and serum IgG are positively correlated with the incidence of poor prognosis,suggesting that globulin,albumin and serum IgG are of early assessment value for poor prognosis in RISS.…”
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  18. 718

    Correlation Between Child's Dental Fear and Anxiety Symptoms and Evaluating Factors Associated With Dental Fear by Pegah Farzanegan, Maryam Ghasempour, Armon Massoodi, Hoda Shirafkan

    Published 2025-05-01
    “…Demographic characteristics were also recorded. The data were analyzed by the one‐way ANOVA, independent t‐test (α = 0.05), Pearson correlation, and logistic regression test using SPSS version 26. …”
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  19. 719

    AN EMPIRICAL ANALYSIS OF THE IMPACT OF ECONOMIC AND NON-ECONOMIC FACTORS OF CAPITAL FLIGHT: AN EXAMPLE OF THE ECONOMETRIC MODEL by E. I. Markovskaya, A. V. Belov

    Published 2017-10-01
    “…The authors exposed methodological differences in approaches to evaluating the amount of capital outflow to be taken into account in such studies.In the course of the study a number of regression models were developed and some of them confirmed the existence of the relationship between capital outflow and non-economic factors.It is concluded that the non-economic factors influence the magnitude of capital outflow from the national economy and political events may significantly affect the decisions of investors. …”
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  20. 720