Showing 941 - 960 results of 3,256 for search '"\"((\\"factors AND regression analyzed\\") OR (\\"factor AND regression analysis\\"))\""', query time: 0.17s Refine Results
  1. 941

    Overweight/Obesity and associated factors among preschool children in Gondar City, Northwest Ethiopia: A cross-sectional study. by Muluken Bekele Sorrie, Melkie Edris Yesuf, Tsgehana GebreGyorgis GebreMichael

    Published 2017-01-01
    “…Both bivariate and multivariate logistic regression analysis were performed to identify associated factors. …”
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    Article
  2. 942

    The Association of Psychological Factors With Willingness to Share Health-Related Data From Technological Devices: Cross-Sectional Questionnaire Study by Marijn Eversdijk, Emma Rixt Douma, Mirela Habibovic, Willem Johan Kop

    Published 2025-01-01
    “…Psychological variables were assessed using validated questionnaires for optimism (Life Orientation Test—Revised), psychological flexibility (Psychological Flexibility Questionnaire), negative affectivity (Type D Scale-14—Negative Affectivity), social inhibition (Type D Scale-14—Social Inhibition), generalized anxiety (Generalized Anxiety Disorder-7), and depressive symptoms (Patient Health Questionnaire-9). Data were analyzed using multiple linear regression analyses, and network analysis was used to visualize the associations between the item scores. …”
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    Article
  3. 943

    Multidrug-resistant Klebsiella pneumoniae coinfection with multiple microbes: a retrospective study on its risk factors and clinical outcomes by Xixi Song, Chonghe Xu, Zhongqi Zhu, Chenchen Zhang, Chao Qin, Juan Liu, Xiaoli Kong, Zhijun Zhu, Wei Xu, Mei Zhu

    Published 2025-08-01
    “…We recorded demographics, comorbidities, laboratory indicators, therapeutic interventions, antimicrobial susceptibility tests (ASTs), and analyzed clinical outcomes. Logistic regression models were employed to evaluate the risk factors associated with MDR-KP coinfections and infections with CRKP. …”
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    Article
  4. 944

    Incidence, Outcomes and Risk Factors for Atrial Fibrillation in Patients With JAK2V617F‐Positive Myeloproliferative Neoplasms by Guangshuai Teng, Ke Shang, Yuhui Zhang, Yifan Duan, Chenxiao Du, Yan Wang, Yanqi Li, Huiqin Zhang, Lan Peng, Xiaojing Wei, Gary Tse, Yuan Zhou, Gregory Y. H. Lip, Tong Liu, Wei Yang, Minghui Duan, Jie Bai

    Published 2025-07-01
    “…Methods The clinical profiles of patients with JAK2V617F‐positive MPN were retrospectively analyzed. Multivariable Cox regression analysis was performed to identify risk factors of AF, thereby developing a risk prediction model. …”
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    Article
  5. 945

    Reproductive health services utilization and associated factors among university youth students in Ethiopia: A mixed-methods study by Tsiyon Birhanu Wube, Solomon Gebremichael Asgedom, Dawit Gebregziabher Abrha, Lielt Gebreselassie Gebrekirstos

    Published 2025-06-01
    “…Data were collected through a self-administered questionnaire, supplemented by key informant interviews and in-depth interviews. Quantitative analysis was performed using SPSS version 25, and qualitative data were transcribed and analyzed narratively through content analysis. …”
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    Article
  6. 946

    Predicting Functional Decline in Geriatric Abdominal Surgery Patients: Unveiling Incidence, Risk Factors, and Innovative Predictive Models in Thailand by Poungkaew Thitisakulchai, Arunotai Siriussawakul, Sunit Jarungjitaree, Nipaporn Sangarunakul, Piyapat Dajpratham

    Published 2025-06-01
    “…Multivariable logistic regression analysis identified age ≥ 70 years (adjusted OR 3.18, 95% CI 1.11–9.06, p=0.031) and a length of stay > 7 days (adjusted OR 5.03, 95% CI 1.75–14.42, p=0.003) as factors most strongly associated with functional decline. …”
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  7. 947

    Prevalence of Hypogonadism and Associated Risk Factors among Newly Diagnosed ART Naïve HIV-Infected Males in Mwanza, Tanzania by Shabani Iddi, Haruna Dika, Benson Kidenya, Samuel Kalluvya

    Published 2024-01-01
    “…Logistic regression analysis showed a significant association between hypogonadism and CD4+ count (OR 2.0; 95% CI 1.1–3.6; p=0.022), decreased libido (OR 1.6; 95% CI 1.1–2.4; p=0.024), age of above 46 years (OR 2.3; 95% CI 1.1–4.6; p=0.023), herbal medicine use (OR 2.4; 95% CI 1.5–3.9; p<0.001), WHO clinical stage 3 (OR 2.7; 95% CI 1.4–5.2; p=0.003), and weight loss (OR 1.8; 95% CI 1.1–3.0; p=0.016). …”
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    Article
  8. 948

    Health-related quality of life in Thai patients with hepatocellular carcinoma and its influencing factors: A cross-sectional study by Thitiporn Pathomjaruwat, Yaowarat Matchim, Jane M. Armer

    Published 2025-08-01
    “…All instruments were validated and reliable. Data were analyzed using descriptive statistics and multiple regression analysis. …”
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    Article
  9. 949

    FARMERS KNOWLEDGE LEVEL IN SINJAR DISTRICT / NINEVEH GOVERNORATE IN THE FIELDS OF USING CROP ROTATIONS AND ITS RELATIONSHIP WITH SOME FACTORS by Radwan T. AL-Kashab

    Published 2013-04-01
    “…Percentage weight, arithmetic mean, analysis of variance and multiple step-wise regression analysis were used in analyzing the data. …”
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  10. 950

    Long-Term Outcomes and Risk Factors for Lymph Node Metastasis in Siewert Type II/III Early Gastric Cancer by Min Young Son, Dae Hyeon Cho, Sung Eun Kim, Seun Ja Park, Moo In Park, Won Moon, Jae Hyun Kim, Jung Wook Lee, Kyoungwon Jung

    Published 2024-09-01
    “…Methods Between January 2014 and June 2022, a total of 573 patients with gastric cancer, including 130 with Siewert type II/III EGC, underwent total gastrectomies at the Kosin University Gospel Hospital. Factors associated with LNM were analyzed using a logistic regression model. …”
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  11. 951
  12. 952

    Exploring stroke risk factors in different genders using Bayesian networks: a cross-sectional study involving a population of 134,382 by Liqin Linghu, Yaxin Huang, Lixia Qiu, Xuchun Wang, Jia Zhang, Lin Ma, chenglian Li, Lijie Wang

    Published 2025-07-01
    “…Logistic regression and Bayesian modeling were employed to analyze the risk factors for stroke in different genders. …”
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    Article
  13. 953

    The knowledge, attitudes, and practices of nurses at general hospitals in Guangdong Province regarding suicide prevention for inpatients and its influencing factors by Jinling Zhu, Meizhu Ding, Dongxu Si, Yingna Li, Zenghong Yuan, Danni Li, LiLi Deng, Cuiying Tang, Shuyun Xiong

    Published 2025-07-01
    “…A total of 418 responses were submitted, with 12 invalid questionnaires excluded, yielding 406 valid questionnaires (valid response rate: 98.5%). Univariate analysis, multiple linear regression, and continuous variable forest plots were used to analyze the influencing factors. …”
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  14. 954
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  16. 956

    Food safety practice and its associated factors among food handlers working in food and drinking establishments in Hargeisa, Somaliland by Mohamed Mussa Abdilahi, Jonah Kiruja, Abdisamad Shukri Ismail, Soheir H. Ahmed, Faisal Nooh, Ayanle Suleiman Ahmed, Abdiqathar Rashid Kulmie

    Published 2025-02-01
    “…Independent variables with a p-value below 0.25 were included in multivariable logistic regression to identify significant factors, using adjusted odds ratios (AORs) and a 95% confidence interval (CI), with a significance threshold of p < 0.05. …”
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  17. 957

    Internet addiction and its influencing factors among middle school students in Hunan province: a cross-sectional study by Fei WANG, Lixi QIN, Zhuoga NIMA, Yaqing TAN, Miyang LUO, Yanhua CHEN, Jiayou LUO

    Published 2025-06-01
    “…The chi-square test was used to compare the differences in internet addiction detection rates between groups, and multi-factor logistic regression analysis was used to analyze the influencing factors of internet addiction. …”
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    Article
  18. 958
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  20. 960

    Effects of Physical Health, Mental Health, Social Environmental Factors, and Quality of Life on Social Participation of People With Physical Disabilities by Myoungsuk Kim, Seung Hee Ho, Hayeon Kim, Jaemin Park

    Published 2025-05-01
    “…An observational, cross‐sectional analysis was performed using 47 independent variables to analyze the risk factors affecting social participation. …”
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