Showing 561 - 580 results of 6,805 for search '"\"((\\"factor AND regression analyzed\\") OR (\\"factors AND regression analysis\\"))~\""', query time: 0.29s Refine Results
  1. 561

    Analysis of the correlation between core competencies of pediatric nurses and occupational benefit perception and its influencing factors by Huihui Zhang, Jianxin Wang, Chunhui Li, Xinyu Liu, Qianmei Xiang

    Published 2025-05-01
    “…There was a significant positive correlation between the core competencies of pediatric nurse specialists and each dimension of career benefits perception (p < 0.01). Multiple linear regression analysis showed that employment form, years of work experience, and total score of career benefits perception were independent influencing factors of the core competencies of pediatric nurse specialists.ConclusionThe career benefits perception and core competencies of pediatric nurse specialists are both at an above-average level, with a close and mutually influential relationship. …”
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  2. 562

    Preterm birth and its associated factors among women of reproductive age in Zambia: a survey analysis by Mutale Sampa, Atupele Chisiza, Mwiche Musukuma, Ronald Fisa, Leah Kamulaza, Wilbroad Mutale

    Published 2025-07-01
    “…Stepwise survey logistic and log-linear regressions were fitted to identify factors associated with preterm birth. …”
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  3. 563

    Fear of movement in patients after lumbar spine fusion and an analysis of factors: a cross-sectional study by Yingyan Pan, Qiong Qi, Chao Yang, Meng Dai, Huihui Zhang, Jie Wen, Hailing Qiu

    Published 2025-03-01
    “…Additionally, clinical and imaging risk factors were analyzed through multivariate regression analysis to determine relevant influencing factors.ResultsFollowing strict inclusion and exclusion criteria, a total of 178 patients who underwent posterior lumbar fusion were included in this study, comprising 104 males (58.4%). …”
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  4. 564
  5. 565

    Analysis of risk factors for bladder neck contracture after transurethral endoscopic surgery for benign prostatic hyperplasia by Yingbing Wu, Lei Huang, Can Liu, Shujun Bai, Yu Chen, Qiong Bao, Xing Luo, Jingzhen Zhu, Weihua Fu, Ji Zheng, Zhao Jiang, Bishao Sun

    Published 2024-12-01
    “…The incidence and risk factors of BNC after transurethral endoscopic surgery were analyzed by multivariate logistic regression analysis.Results A total of 420 cases were included in this study, of which 246 were treated with bipolar transurethral resection of the prostate (bTURP) and 174 with green light laser vaporization of the prostate (GL-PVP), and there was no statistically significant difference in the incidence of BNC when comparing these two types of operations. …”
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  6. 566

    Survival analysis of female breast cancer patients in Panyu District by YOU Na, LIANG Xiaoxian, LAI Chunyan, RUAN Huihong

    Published 2025-03-01
    “…The survival rate was calculated using the life table. Factors affecting survival time among female breast cancer patients were analyzed using a multivariable Cox proportional hazard regression model. …”
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  7. 567

    Analysis of the relationship between home skin care associated factors and disease severity for children with atopic dermatitis by YANG Fan, LI Dongdong, WANG Xiaoqin, WEI Yuqin, MOU Lingying, SONG Yanan

    Published 2024-05-01
    “…Objective To investigate the influence of the factors related to home skin care for children with atopic dermatitis (AD).Methods Using the convenience sampling method, the children with AD treated in the type 2 inflammation multidisciplinary clinic center in Affiliated Hospital of Shandong Second Medical University from June 2022 to June 2023 were selected to investigate the severity of the disease, and analyze the general data and factors related to home skin care using Logistic regression.Results Among 358 children with AD, there were 214 (59.78%) mild cases, 144 (40.52%) moderate-severe cases. …”
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  8. 568
  9. 569

    Analysis of Consumer Behavioral Factors Between Online Shopping and Physical Store Experience in the M-Commerce Era by Ovidiu-Aurel Ghiuță, Andreea Nistor

    Published 2025-03-01
    “…The collected data were analyzed using <i>t</i>-tests, Chi-square tests, and logistic regression to assess the influence of variables on online smartphone purchase intention.…”
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  10. 570

    Depression and its influencing factors among older adults with chronic pain in China: an empirical analysis based on CHARLS data by Guojun Wang, Shiwei Huang, Ning Sun, Wenjin Gui, Yongjun Wang

    Published 2025-04-01
    “…Chi-square test and multiple logistic regression were used to analyze the main factors affecting depression in older adults with chronic pain.ResultsThe results of multivariate logistic regression analysis showed: gender (female: OR = 1.28, 95%CI = 1.16–1.41), age (≥75 years old: OR = 0.49, 95%CI = 0.42–0.56), spouse/partner living together (no: OR = 1.19, 95%CI = 1.06–1.32), place of residence (rural: OR = 1.19, 95%CI = 1.06–1.32), education level (High school and above: OR = 1.19, 95%CI = 1.06–1.32); satisfaction with child relationship (satisfaction: OR = 0.22, 95%CI = 0.18–0.28), smoking (no: OR = 0.60, 95%CI = 0.41–0.86), Internet use in the past month (Yes: OR = 0.77, 95%CI = 0.68–0.86), nap duration (1 ~ &lt;2 h: OR = 0.75, 95%CI = 0.66–0.85; ≥2 h: OR = 0.75, 95%CI = 0.66–0.85), night sleep duration (6 ~ &lt;8 h: OR = 0.75, 95%CI = 0.66–0.85; ≥8 h: OR = 0.56, 95%CI = 0.49–0.63), BADL damaged (Yes: OR = 1.45, 95%CI = 1.31–1.62), IADL damaged (Yes: OR = 1.31, 95%CI = 1.17–1.45), received outpatient services in the past month (Yes: OR = 1.18, 95%CI = 1.06–1.31), pain (Quite a Bit/Very: OR = 1.41, 95%CI = 1.26–1.58), number of body parts that feeling pain (1 ~ 3: OR = 1.42, 95%CI = 1.27–1.60; 4–6: OR = 1.76, 95%CI = 1.51–2.04; 7 ~ 9: OR = 2.21, 95%CI = 1.82–2.67; ≥10: OR = 2.63, 95%CI = 2.15–3.22) are the influencing factors of depressive symptoms in older adults with chronic pain (p &lt; 0.05).ConclusionThe incidence of depressive symptoms in older adults with chronic pain is 31.7%, and their depression status is affected by various factors. …”
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  11. 571

    Investigation and analysis of factors related to sleep conditions during the acute withdrawal period of alcohol use disorder by Xu Liu, Xiangqi Kong, Xu Chen, Xu Chen

    Published 2025-05-01
    “…The use of multiple linear regression to analyze factors related to sleep disorders.ResultsCompared to the control group, AUD patients exhibited significantly reduced total sleep time, sleep efficiency, and rapid eye movement (REM) sleep, along with increased snoring frequency and duration. …”
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  12. 572

    Analysis of risk factors for adverse events associated with cardiogenic syncope due to coronary artery disease in the elderly by Yangyang Liang, Xinping Li, Shuguang Chen, Qiaoying Cha, LiYa Yang

    Published 2025-05-01
    “…The COX multifactorial regression analysis revealed that hs-TnT, NT-proBNP, QTC abnormality prolongation and LVEF were all identified as risk factors for poor prognosis in elderly CAD patients (P < 0.05). proBNP, abnormal prolongation of QTC, and LVEF were identified as risk factors for cardiogenic syncope in elderly CAD patients, leading to a poor prognosis (P < 0.05). …”
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  13. 573

    Analysis of risk factors of elderly patients with type 2 diabetes complicatedwith frailty and establishment of prediction model by Wang Zhuo, Zheng Haifeng, Liang Linlang

    Published 2025-03-01
    “…The results of logistic regression analysis showed that gender is female, stroke, depressive symptoms and high risk of falls were independent risk factors for comorbid frailty in elderly type 2 diabetes patients (P<0.05). …”
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  14. 574

    Transfusion efficacy and influencing factors of patients transfused with different therapeutic doses of platelets: a comparative analysis by ZHU Jianling, CHENG Tingting, MA Chunya, FU Lihui, SHI Hongmei, YU Yang

    Published 2024-12-01
    “…The effects of gender, disease type, white blood cell count before transfusion, fever, number of platelet transfusions, and platelet antibodies on platelet transfusion refractoriness were analyzed using univariate analysis, and the independent risk factors affecting platelet transfusion refractoriness were further analyzed by multivariate logistic regression. …”
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  15. 575
  16. 576

    A systematic review and meta-analysis of the prevalence and risk factors of type 2 diabetes mellitus in Nigeria by Michael Adeyemi Olamoyegun, Kehinde Alare, Samson Adedeji Afolabi, Nicholas Aderinto, Taiwo Adeyemi

    Published 2024-12-01
    “…Data were extracted with Microsoft Excel and analyzed using Stata version 16 software. Random effect meta-regression analysis at 95% CI was used to assess pooled prevalence and risk factors. …”
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  17. 577
  18. 578

    The Sleep Patterns and Influencing Factors of Chronic Heart Failure Patients in China: A Latent Profile Analysis by Li Y, Li J, Qin J, Zhou S, Gong K

    Published 2025-04-01
    “…Multiple logistic regression analysis showed that age, monthly income, number of hospitalizations for heart failure in a year, number of comorbidities, and fear of progression were influential factors (P < 0.05).Conclusion: Sleep quality among patients with CHF exhibits distinct distributional profiles. …”
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  19. 579

    Analysis of risk factors of poor prognosis after recanalization treatment of anterior and posterior circulation tandem lesions by YANG Lei, HAN Yong⁃feng, ZHANG Dong⁃liang, SU Xian⁃hui, JIN Wen⁃cai, ZHANG Xue⁃jing

    Published 2024-11-01
    “…The National Institutes of Health Stroke Scale (NIHSS) score at admission (Z = ⁃ 2.916, P = 0.004), time from onset to recanalization (Z = ⁃ 2.048, P = 0.041), mechanical thrombectomy times ≥ 3 (χ2 = 4.725, P = 0.030) and the proportion of hematoma type hemorrhagic transformation (χ2 = 8.400, P = 0.004) in the poor prognosis group were higher than those in good prognosis group. Logistic regression analysis showed that high NIHSS score at admission (OR = 12.457, 95%CI: 2.066-75.120; P = 0.006), mechanical thrombectomy times ≥ 3 (OR = 9.387, 95%CI: 1.222-72.140; P = 0.031) and postoperative hemorrhagic transformation (OR = 7.237, 95%CI: 1.019-51.403; P = 0.048) wererisk factors of poor prognosis of TLs. …”
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  20. 580

    Analysis of Factors Related to Diabetes Self-Management in Patients with Type 2 Diabetes Mellitus in Rural Areas by M. Agung Akbar, Junaiti Sahar, Etty Rekawati, Ratu Ayu Dewi Sartika, Prateek Gupta

    Published 2025-04-01
    “…However, the multiple regression analysis revealed that self-efficacy (β=0.392, p=0.001), gender (β=0.283, p=0.001), and duration of DM (β=-0.189, p=0.012) significantly affected  DSM in patients with T2DM in rural areas, explaining  28 percent of the variance  (R2=0.280). …”
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