Search alternatives:
\\"factor » \\"factors (Expand Search)
Showing 881 - 900 results of 1,998 for search '"\"((\\"factor AND regression analysis\\") OR (\\"factor AND regression analyzed\\"))~\""', query time: 0.14s Refine Results
  1. 881
  2. 882
  3. 883

    The Effect of Women’s Empowerment on Unmet Needs for Family Planning in Tanzania: Analysis of 2022 Tanzania Demographic and Health Survey (TDHS) by Munawar Harun Koray, Sara Sulieman, Fatma Ahmed Said, Sudue Epaphraditus Mieh, Tanya Curry, Mary Modupe Abiona, Mansour Maulid Mshenga, Gifty Marley

    Published 2025-08-01
    “…Multilevel mixed-effects logistic regression analyzed the relationship between women’s empowerment and unmet FP needs, controlling for individual and community-level factors. …”
    Get full text
    Article
  4. 884

    Exploring illness uncertainty categories in ischemic stroke patients and the relationship with perceived social support: a latent class analysis by Xin Wen, Min Shi, Jie Zhou, Wanfang Yuan, Rong Tang, Ruhui Xu, Wenyi Zhu

    Published 2025-05-01
    “…Logistic regression analysis showed that place of residency, educational level, per capita monthly household income, number of comorbid other chronic diseases, mRS scores, and self-care ability were the factors influencing the latent class of illness uncertainty in stroke patients (p < 0.05). …”
    Get full text
    Article
  5. 885

    Microlevel Analysis of Climate Change Adaptation and its Determinants: The Case of Smallholder Farmers in the Kembata Tembaro Zone, Southern Ethiopia by Getachew Tadesse, Mulugeta Lemenih, Teshale Woldeamanuel, Menfese Tadesse

    Published 2025-01-01
    “…On average, 88.2% of the farmers reported implementing adaptation measures, such as adjusting planting dates, crop diversification, soil and water conservation, adopting improved livestock breeds, engagement in off-farm activities, and agroforestry practice. The regression analysis identified several significant factors influencing adaptation decisions, including age, education level, farm size, farm income, access to credit, participation in climate change training, availability of climate information, market access, and agro-ecological context. …”
    Get full text
    Article
  6. 886
  7. 887
  8. 888

    Correlation analysis of serum small and dense low-density lipoprotein cholesterol and carotid intima-media thickness in maintenance hemodialysis patients by KUAI Ting-ting, LIU Shu-xin, ZHANG Yu

    Published 2020-01-01
    “…Objective To investigate the correlation between serum small and dense low-density lipoprotein cholesterol(sdLDL-C) and carotid intima-media thickness(intimamedia thickness,IMT) in patients with maintenance hemodialysis(MHD).Methods Patients with end-stage renal disease(ESRD)who underwent maintenance hemodialysis in the blood purification center of our hospital from January 2016 to December 2019 were selected as the research subjects,including the normal IMT hemodialysis group(36 cases) and the abnormal IMT hemodialysis group(104 cases),and healthy persons for medical examines(30 cases) during the same period served as the healthy control group.The basic data,laboratory test indicators and carotid ultrasound examination results of all the research subjects were collected,and the level differences and correlations of multiple indicators including serum sdLDL-C among different IMT groups were analyzed.Results There was a statistically significant difference in the comparison of blood urea(UREA),creatinine(CR),sdLDL-C and other indicators in the hemodialysis groups(P<0.05).Order logistic regression analysis showed that sdLDL(OR=4.787,95%CI 1.704~13.464,P=0.003) and dialysis time(OR=1.033,95%CI 1.001~1.057,P=0.045) were independent risk factors of IMT in MHD patients.Serum sdLDL-C and IMT were significantly positively correlated(intimal thickening group,r=0.611,P<0.01); plaque formation group,r=0.576,P<0.01).Conclusions SdLDL-C can be used as an independent risk factor for carotid artery stenosis in maintenance hemodialysis patients.…”
    Get full text
    Article
  9. 889

    Relationship between prenatal anxiety, depression, pregnancy stress and their social determinants by Weicui Meng, Sufeila Shalayiding, Xiaoting Wang, Bahedana Sailike, Ting Jiang

    Published 2025-08-01
    “…It overcomes the limitation of traditional regression analysis, which only focuses on the association of a single variable, and can identify core nodes through indicators such as strength and expected influence, thus having unique advantages in analyzing the interactive relationships of complex psychological symptoms. …”
    Get full text
    Article
  10. 890
  11. 891

    Efficacy and toxicity analysis of ganciclovir in patients with cytomegalovirus lung infection: what is new for target range of therapeutic drug monitoring by Dongjie Guo, Xiaoxing Wang, Pengmei Li, Yongguang Shang, Lei Zhang, Yue Chen, Xudong Kong, Wenqian Chen

    Published 2025-08-01
    “…Target trough ganciclovir concentrations were collected during TDM, and clinical outcomes and adverse events (AEs) were assessed. Multiple regression analyses or binary logistic regression were used to analyze the factors affecting ganciclovir trough concentrations and clinical efficacy. …”
    Get full text
    Article
  12. 892

    Multineutrosophic Analysis of the Relationship Between Survival and Business Growth in the Manufacturing Sector of Azuay Province, 2020–2023, Using Plithogenic n-Superhypergraphs by Eduardo Martín Campoverde Valencia, Jessica Paola Chuisaca Vásquez, Francisco Ángel Becerra Lois

    Published 2025-05-01
    “…Additionally, the Springate Z-Score model was used, along with the logarithmic variation of assets, multiple regression, and factor analysis. The results showed that business survival was determined by variables related to vertices of financial stability and operational efficiency, while growth was primarily associated with asset expansion. …”
    Get full text
    Article
  13. 893
  14. 894
  15. 895

    Two miRNA prognostic signatures of head and neck squamous cell carcinoma: A bioinformatic analysis based on the TCGA dataset by Chaoying Wu, Lingxia Tong, Chaoqun Wu, Dong Chen, Jianguo Chen, Qianyun Li, Fang Jia, Zirui Huang

    Published 2020-04-01
    “…Abstract MicroRNAs(miRNAs) are maladjusted in multifarious malignant tumor and can be considered as both carcinogens and tumor‐inhibiting factor. In the present study, we analyzed the miRNAs expression profiles and clinical information of 481 patients with head and neck squamous cell carcinoma (HNSCC) through the TCGA dataset to identify the prognostic miRNAs signature. …”
    Get full text
    Article
  16. 896
  17. 897

    Exposure to hate in online and traditional media: A systematic review and meta‐analysis of the impact of this exposure on individuals and communities by Pablo Madriaza, Ghayda Hassan, Sébastien Brouillette‐Alarie, Aoudou Njingouo Mounchingam, Loïc Durocher‐Corfa, Eugene Borokhovski, David Pickup, Sabrina Paillé

    Published 2025-03-01
    “…Data Collection and Analysis Fifty‐five studies analyzing 101 effect sizes, classified into 43 different outcomes, were identified after the screening process. …”
    Get full text
    Article
  18. 898
  19. 899

    Assessing the global burden of interstitial lung disease and pulmonary sarcoidosis using multiple statistical models: analysis and future projections by Luna Zhao, Yue Zhou, Yun Jia, Lang Wang, Ye Liu, Guizhen Lv, Yihao Zhang, Jinyang Li, Junfeng Ren, Hongzheng Liu, Yufeng Zhang, Ning Wang, Wenwen Zhang, Wenqiang Mo, Jiaqi Liu, Yilin Wang, Junhao Ma, Chao Wu, Dong Liu, GBD Collaborator

    Published 2025-07-01
    “…Although the incidence and mortality rates of ILD and PS have increased following the COVID-19 pandemic, comprehensive research examining their burden and associated risk factors remains limited. Therefore, the present study aimed to analyze the spatiotemporal distribution, gender-specific and age-related disparities, and sociodemographic determinants of ILD and PS from 1990 to 2021 to facilitate evidence-based targeted interventions. …”
    Get full text
    Article
  20. 900