Showing 3,561 - 3,580 results of 5,117 for search '"\"((\\"factors AND regression analysis\\") OR (\\"factor AND regression analyzed\\"))~\""', query time: 0.23s Refine Results
  1. 3561

    A cross-sectional study investigating the association between parental daily brushing, extended breastfeeding, or parental smoking habit and early childhood dental caries in 4-year... by Yuichiro Miura, Tomohisa Suzuki, Keita Kanamori, Masahiro Tsuchiya, Chiharu Ota, The Japan Environment and Children’s Study (JECS) Group

    Published 2025-08-01
    “…The logistic regression analysis revealed that occasional parental brushing (adjusted odds ratio (aOR) 1.33, 95% confidence interval (95% CI) 1.27–1.39) was associated with significantly increased odds for ECC when compared to routine parental brushing. …”
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  2. 3562

    Association of clinical laboratory parameters with latent tuberculosis infection among healthcare workers of primary health centers-A cross-sectional observational study. by Sivaprakasam T Selvavinayagam, Ganga Sankar, Yean K Yong, Sathish Sankar, Ying Zhang, Hong Y Tan, Pachamuthu Balakrishnan, Amudhan Murugesan, Manivannan Rajeshkumar, Asha Frederick, Masilamani Senthil Kumar, Paulkanraj PriyaRaj, Jesudoss Prabhakaran, Pattusamy Sangeetha, Pasupathy Arunpathy, Rajamani Charu, Nagarajan Muruganandam, Deepak M Sakate, Deepak Jayakumar, Prabu Dhandapani, Parthiban Rudrapathy, Vijayakumar Velu, Marc Emmenegger, Marie Larsson, Esaki M Shankar, Sivadoss Raju

    Published 2025-01-01
    “…The red cell distribution width (RDW) was significantly associated (p = 0.002) with LTBI positivity among the different parameters analyzed. Factors such as individuals' age (p = 0.029), underlying comorbid conditions (30.3%; p = 0.035), and longer employment duration (28%; p = 0.034) were significantly associated with IGRA positivity. …”
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  3. 3563

    The multiple mediating roles of depression and grandchild care in the relationship between social participation and cognitive function among middle-aged and elderly Chinese: an emp... by Sumei Zhou, Tianfang Deng, Shirong Shao, Zhi Zeng

    Published 2025-03-01
    “…Baseline regression results indicate that social participation significantly enhances cognitive function (β = 0.417, p = 0.001) after adjusting for confounding factors. …”
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  4. 3564

    Effects of lower-limb joint mobility and core muscle activation on dynamic lumbar kyphosis during deep squats by Jaewoo Lee, Youngtae Lim, Moonseok Kwon

    Published 2025-07-01
    “…Peak joint angles and maximum lumbar flexion were analyzed using correlation and stepwise multiple linear regression to identify factors contributing to dynamic lumbar kyphosis (α = 0.05). …”
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  5. 3565

    Enhanced coagulation index: a potent prognostic indicator for clinical outcomes in non-metastatic breast cancer following surgery and adjuvant therapy by Bolin Lu, Ji Wu, Mu Yuan, Xuxu Zhang, Xing Qiu, Jianyin Bai, Ming Yao, Sainan You, Shanshan Wang, Linlin Zhen

    Published 2025-05-01
    “…The receiver operating characteristic curve decided the APTT/TT performance (AUC=0.685, 95%CI 0.602-0.768). Multivariate Cox regression models showed that increased APTT/TT (HR=4.057, p=0.032) and more lymph node metastases (HR=2.324, p<0.001) were independent prognostic factors for DFS.ConclusionsThis study indicated a pivotal role of the APTT/TT ratio in forecasting the prognosis of breast cancer patients following comprehensive treatment. …”
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  6. 3566

    Radiotherapy improves the clinical outcomes of recurrent or metastatic head and neck cancers treated with immunotherapy by Yanshuang Cheng, Juan Wang, Ji Sun, Yahua Zhong, Qiuji Wu

    Published 2025-06-01
    “…The Kaplan–Meier method was utilized for survival analysis, and Cox regression analysis was conducted to identify prognostic factors. …”
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  7. 3567

    Comparison of dynamic mode decomposition with other data-driven models for lung cancer incidence rate prediction by L. Raymond Guo, Jifu Tan, M. Courtney Hughes

    Published 2025-04-01
    “…Existing analysis methods struggle with the complexity of public health data, which includes both location and time factors. …”
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  8. 3568

    Modelling the impact of behavioural interventions during pandemics: A systematic review. by Tsega Kahsay Gebretekle, Casper Albers

    Published 2025-01-01
    “…We used descriptive analysis, network analysis for textual synthesis, and regression analysis to identify the relationship between the basic reproduction number R0 and various characteristics. …”
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  9. 3569

    Development and validation of a machine learning model for online predicting the risk of in heart failure: based on the routine blood test and their derived parameters by Jianchen Pu, Yimin Yao, Xiaochun Wang

    Published 2025-03-01
    “…This study used both univariate and multivariate analyses to identify the risk factors associated with HF. Variables associated with HF were selected using LASSO regression analysis. …”
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  10. 3570

    Association of restless legs syndrome with malnutrition,inflammation and sleep quality in hemodialysis patients by HUANG Hua-xing, SHEN Liang-lan, ZHANG Fen, WANG Chen, FANG Xing-xing, CHEN Dong-mei

    Published 2017-01-01
    “…Malnutrition-inflammation( MIS) and Pittsburgh Sleep Quality Index( PSQI) were evaluated. Single factor Logistic regression analysis was used to analyze the related factors. …”
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  11. 3571

    Investigating the effect of knowledge, attitude, and social marketing mixes on the behavior of consumption herbal medicines by patients by Mahdi Amraei, Effat Jahanbani Veshareh, Kambiz Ahmadi Angali, Amin Torabipour

    Published 2025-06-01
    “…Patients' attitude had the strongest positive relationship (r=0.579). Based on linear regression analysis, attitude, knowledge and place as the three main predictive factors had a positive effect on patients' consumption behavior. …”
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  12. 3572

    PENGARUH PERILAKU INDIVIDU TERHADAP PELAKSANAAN KESEHATAN DAN KESELAMATAN KERJA DI PT. XXX INDONESIA by Wanta, Rohendi, Aji Tuhagana

    Published 2019-10-01
    “…The analytical tool used is validity test, reliability test, correlation analysis, regression analysis and coefficient of determination.   …”
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  13. 3573

    Irradiated red blood cell transfusion is associated with an increased incidence of deep vein thrombosis in trauma patients: a cohort study by Hua Lu, Li-Fang Wu, Jing-Jing Li, Qi Gao, Gui-Ping Xu

    Published 2025-08-01
    “…Univariate and multivariate logistic regression analysis was used to analyze the risk factors for DVT. …”
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  14. 3574

    Associations of socioeconomic status and health lifestyles with chronic obstructive pulmonary disease: two nationwide population-based studies by Siying Liu, Tingting Liu, Cihang Lu, Jiahui Guo, Jie Li, Hanyu Wang, Bingxin You, Qiqiang Guo, Jing Zhang, Yongze Li

    Published 2025-07-01
    “…Additionally, compared with those in the group with the highest SES and the healthiest lifestyle, the risk of COPD incidence and prevalence increased by 950% (HR = 10.50, 95% CI = 9.04 to 12.20) and 641% (OR = 7.41, 95% CI = 5.10 to 10.78), respectively, in the group with the lowest SES and the unhealthiest lifestyle. Risk factor analysis for COPD revealed that, in addition to a low SES (HR = 2.55, 95% CI = 2.39 to 2.72; OR = 2.08, 95% CI = 1.76 to 2.46) and unhealthy lifestyle (HR = 2.92, 95% CI = 2.73 to 3.12; OR = 3.78, 95% CI = 3.13 to 4.57), smoking (HR = 5.23, 95% CI = 4.87 to 5.61; OR = 3.85, 95% CI = 3.23 to 4.59) was the most significant risk factor for COPD. …”
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  15. 3575

    THE EFFECT OF LEADERSHIP STYLE, ORGANIZATIONAL CULTURE, MOTIVATION ON THE PERFORMANCE OF JUNIOR HIGH SCHOOL PRINCIPAL by Virgana Natawidjaja

    Published 2018-11-01
    “…The data collection was done through research instruments in the form of questionnaires using Likert scale models. Before analyzing the data with path analysis, a number of statistical tests were carried out first which became a requirement in the path analysis, namely: Error Normality Test; Homogeneity Test; and Test the significance and linearity of the regression coefficient. …”
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  16. 3576
  17. 3577

    Automated ejection fraction and risk stratification in cardiomyopathy patients with diverse LV geometry using 2D echocardiography by Ziwei Zhu, Ke Fan, Shuyuan Zhang, Tingting Hu, Jingyi Li, Ze Zhao, Ye Jin, Shuyang Zhang

    Published 2025-07-01
    “…Outcomes included cardiac death and heart failure rehospitalization, analyzed via logistic and LASSO regression within each LVG subtype. …”
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  18. 3578

    Metabolic dysfunction-associated fatty liver disease and risk of nephrolithiasis: a sizeable cross-sectional study by Shengqi Zheng, Tianchi Hua, Guicao Yin, Wei Zhang, Xiaoxiang Wang, Lezhong Qi, Xiayong Jing, Qibing Fan, Xiaoping Yu, Yifan Li

    Published 2025-01-01
    “…The relationship between MAFLD and nephrolithiasis was analyzed using a multivariate logistic regression model and subgroup analysis was performed.ResultsThe proportion of participants with MAFLD was significantly higher in the nephrolithiasis group compared to the non-nephrolithiasis group (47.70% vs. 30.45%, P < 0.001). …”
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  19. 3579

    Near-Wall Slow Flow Contributes to Wall Enhancement of Middle Cerebral Artery Bifurcation Aneurysms on Vessel Wall MRI by Linfeng Liu, Zhuhao Li, Weiping Xiao, Yibing Yang, Yan Yan, Lu Bai, Lingzhi Quan, Tiewei Qi, Feng Liang

    Published 2024-12-01
    “…<b>Methods:</b> Patients with unruptured MCA bifurcation aneurysms undergoing VW-MRI were enrolled. Logistic regression analyses were performed to determine the risk factors for AWE. …”
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  20. 3580

    The dietary inflammation index and body mass index mediate the association between the dietary index for gut microbiota and sarcopenia in older women: evidence from NHANES 2011–201... by Xiaoyan Zhang, Liangzhi Wu, Yutian He, Shuyao Zhang, Wenfeng Hua, Wenfeng Hua

    Published 2025-08-01
    “…Multivariable logistic regression analysis revealed a negative association between DI-GM and the risk of sarcopenia, irrespective of whether the independent variable was analyzed as a continuous variable or in quartiles in the fully adjusted model (Model 3, continuous variable: OR = 0.91, 95% confidence interval (CI): 0.88–0.95, p &lt; 0.001; Q4 vs. …”
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