中老年人群代谢综合征和估算肾小球滤过率快速下降相关性研究 by 刘佩佳, 方佳, 李少敏, 汤磊乐, 刘迅

“…根据eGFR是否快速下降，将参与者分成eGFR快速下降组（770人）和eGFR非快速下降组（3 630人）。通过logistic回归检验MetS与eGFR快速下降关系，并进一步探索MetS各组成成分和eGFR快速下降的关系。…”
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双胎妊娠并发子痫前期的发病趋势、特征及危险因素分析 by 陈维, 王子莲

“…最终1 384例双胎妊娠孕妇纳入后续发病特征及危险因素分析，根据绒毛膜性将其分为单绒毛膜性（monochorionic，MC）组和双绒毛模性（dichorionic， DC）组，MC共有403例，其中子痫前期（preeclampsia， PE）组55例，非PE组348例；DC共有981例，其中PE组105例，非PE组876例；分别比较不同绒毛膜性孕妇PE组和非PE组的基本资料和分娩结局，采用单因素分析和多因素Logistic回归分析不同绒毛膜性双胎妊娠发生子痫前期的危险因素。结果双胎妊娠PE的总发病率为10.4%，2011-2019年各年PE的发病率在7.8%～11.8%之间波动。…”
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Assessment of public literacy in TB prevention and control in the National 13th Five-Year plan for Tuberculosis Prevention and Control (2016–2020) in China by Shuaihu Ni, Gang Chen, Jia Wang, Yuhong Li, Hui Zhang, Yan Qu, Yanlin Zhao, Xiaofeng Luo

“…Methods A cross-sectional study covering all provinces in China was conducted in 2020. 47,728 questionnaires were collected. Logistic regression was used to analyze the overall awareness of TB health literacy among people with different demographic characteristics. …”
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ESG performance and dividend stability of the world’s largest enterprises by Agnieszka Matuszewska-Pierzynka, Urszula Mrzygłód, Aleksandra Pieloch-Babiarz

“…METHODOLOGY: The hypothesis was empirically verified using a logistic regression model among the world’s largest non-financial enterprises listed in the Global 500 of 2021 for the years 2012–2021. …”
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An artificial intelligence application to predict prolonged dependence on mechanical ventilation among patients with critical orthopaedic trauma: an establishment and validation st... by Weigang Jiang, Tao Liu, Baisheng Sun, Lixia Zhong, Zhencan Han, Minhua Lu, Mingxing Lei

“…Patients in the training cohort were used to establish models using machine learning techniques, including logistic regression (LR), extreme gradient boosting machine (eXGBM), decision tree (DT), random forest (RF), support vector machine (SVM), and light gradient boosting machine (LightGBM), whereas patients in the validation cohort were used to validate these models. …”
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KiKli Fit: Insights into the Development and Practice of a Physical Activity Program in Pediatric Cancer by Lisa Hillebrech, Lars Rehbein, Ann Christin Schneider, Sara Müller, Christina Schindera, Katharina Eva, Valentin Benzing

“…Continuous communication and collaboration helped address challenges, such as logistical barriers, facilitating integration into hospital routines. …”
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Immune responses in children with secondary infection of mycoplasma pneumoniae after COVID-19: focus on eosinophils and IgE by Pingping Wang, Jin Yao, Yaqiong Li, Zhanjun Zhang, Ruiling Zhang, Shouting Lu, Meixia Sun, Xiaorong Huang

“…The absolute eosinophil value [0.17 (0.09, 0.31) vs. 0.09 (0.06, 0.23), P < 0.01] and IgE level [59.28 (37.54, 256.88) vs. 22.00 (11.00, 113.10) P < 0.01] of the children in the study group were significantly higher than those in the control group, while IL-6 [16.81(4.72,31.86) vs. 9.5(3,57.3), P = 0.602], CRP [2.82(1.10,6.13) vs. 1.94(0.50,8.94), P = 0.528] and PCT[0.12(0.08,0.20) vs. 0.12(0.10,0.24), P = 0.329] were no significant difference between the two groups. Binary logistic regression analysis showed that the absolute value of eosinophils and IgE were independent risk factors for secondary infection of Mycoplasma pneumoniae after SARS-CoV-2 infection. …”
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Prevalence of vitamin D deficiency and its association with adverse obstetric outcomes among pregnant women in Uganda: a cross-sectional study by Cristina Reverzani, Daniel Zaake, Faridah Nansubuga, Herman Ssempewo, Leonard Manirakiza, Anthony Kayiira, Gilbert Tumwine

“…The data were analysed by logistic regression analysis at the univariate, bivariate and multivariate levels.Results The prevalence of vitamin D deficiency, defined as a serum 25(OH)D concentration less than 20 ng/mL, was 40.2%. …”
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Assessing Mental Illness Referral Request Acceptance: A Nationwide E-Referral Data From Saudi Arabia by Alharbi AA, Aljerian NA, Alghamdi HA, Binhotan MS, Alsultan AK, Arafat MS, Aldhabib A, Aloqayli AI, Alwahbi EB, Horner RD

“…Descriptive statistics characterized referral patterns, while bivariate and multivariable logistic regression analyses identified factors associated with referral acceptance, calculating adjusted odds ratios (aORs) and 95% confidence intervals.Results: The system achieved an overall acceptance rate of 82.5%, with different patterns across age groups and regions. …”
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Relationship between pregnant women's combined exposure to heavy metals and their offspring's congenital heart defects in Lanzhou, China by Lulu Chen, Lulu Chen, Yaqin Zhao, Yaqin Zhao, Jianhao Sun, Jianhao Sun, Xinjuan Jiao, Zhenzhen Wu, Zhenzhen Wu, Jian Wang, Jie Qiu, Baohong Mao, Baohong Mao, Qing Liu, Qing Liu

“…This analysis was performed utilizing a multifactorial conditional logistic regression model.ResultA nested case-control study was conducted involving 97 case groups and 194 control groups. …”
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Risk and Prognosis of Hepatocellular Carcinoma in Mexican Americans with Type 2 Diabetes Mellitus by Hatia RI, Hwang LY, Li R, Troisi C, Jalal PK, Amos CI, Gomez HF, Chun YS, Rashid A, Kaseb AO, Scheet PA, Hassan MM

“…Given the high prevalence of type 2 diabetes mellitus (DM) among the Hispanic population, we aimed to assess the risk and prognosis of HCC in Mexican Americans with type 2 DM with consideration of treatment for DM.Methods: A case-control study of 241 Mexican American HCC patients and 500 healthy controls in Texas was conducted. Multivariable logistic regression analysis was performed to determine the association between type 2 DM and HCC risk while adjusting for other risk factors. …”
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Hubungan Faktor Risiko Terhadap Kejadian Sindroma Koroner Akut pada Pasien Dewasa Muda di RSUP Dr. M. Djamil Padang by Anggita Tiara Pramadiaz, Muhammad Fadil, Henny Mulyani

“…Data</em><em> described in tables and analyzed with the chi-square test and logistic regression.The frequency distributions of most ACS patients are males (74,2%), smoking history (63,6%), and  hypertension (37,9%). …”
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Mortality Risk Prediction in Patients With Antimelanoma Differentiation–Associated, Gene 5 Antibody–Positive, Dermatomyositis–Associated Interstitial Lung Disease: Algorithm Develo... by Hui Li, Ruyi Zou, Hongxia Xin, Ping He, Bin Xi, Yaqiong Tian, Qi Zhao, Xin Yan, Xiaohua Qiu, Yujuan Gao, Yin Liu, Min Cao, Bi Chen, Qian Han, Juan Chen, Guochun Wang, Hourong Cai

“…Six ML algorithms (Extreme Gradient Boosting [XGBoost], logistic regression (LR), Light Gradient Boosting Machine [LightGBM], random forest [RF], support vector machine [SVM], and k-nearest neighbor [KNN]) were applied to construct and evaluate the model. …”
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Derivation and validation of a prediction model for inadequate bowel preparation in Chinese outpatients by Huifang Yin, Yan Wang, Hangfang Wang, Tian Li, Xiangxiang Xu, Fengyu Li, Lihua Huang

“…The predictive model was constructed based on multivariate logistic regression, and the discrimination and calibration of the prediction model were evaluated via internal and external validation; additionally, a clinical decision curve was drawn to evaluate the clinical utility of the model. …”
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Diabetes distress among immigrants of south Asian descent living in New York City: baseline results from the DREAM randomized control trial by Farhan Mohsin, Laura Wyatt, Hayley Belli, Shahmir Ali, Deborah Onakomaiya, Supriya Misra, Yousra Yusuf, Shinu Mammen, Jennifer Zanowiak, Sarah Hussain, Haroon Zafar, Sahnah Lim, Nadia Islam, Naheed Ahmed

“…Sociodemographic variables were analyzed using descriptive statistics, Chi-square tests assessed categorical variables, and Wilcoxon Rank Sum tests evaluated continuous variables (Type I error rate = 0.05). Logistic regression models examined associations between HbA1c, mental health, and other covariates with dichotomized DD subscales. …”
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Satisfacción laboral y violencia en la relación clínica en Fisioterapia en España by Tania Boo-Mallo, Alicia Martínez-Rodríguez, Antía Domínguez-Rodríguez

“…A descriptive quantitative analysis and 3 logistic regression models were performed. In the first model, sociodemographic and violence variables were included as independent variables, in the second, health-related variables, and in the third, occupational variables. …”
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Integrated analysis of the prevalence and influencing factors of poststroke dysphagia by Xiaopeng Wen, Baochao Fan, Jie Zhan, Hao Wen, Huihui Ban, Yujiao Yang, Chenyang Tao, Cui Li, Kunbin Li, Liming Lu

“…A subgroup analysis was performed to identify sources of heterogeneity, and the relationship between PSD and various clinical features was examined using binary logistic regression. Results Among 95 studies of 1,059,969 patients, the overall pooled estimated prevalence of PSD was 38.57% (95% CI 35.45–41.69%). …”
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Comparative analysis of retinal vascular structural parameters in populations with different glucose metabolism status based on color fundus photography and artificial intelligence by Naimei Chen, Naimei Chen, Zhentao Zhu, Di Gong, Xinrong Xu, Xinya Hu, Weihua Yang

“…In patients with T2DM with mild-to-moderate NPDR, Average length of arteries (length_avg_a) and average length of veins (length_avg_v) increased, whereas branch_avg_v, average venous branching angle (angle_avg_v), average venous branching asymmetry (asymmetry_avg_v),overall length density (vessel_length_density), and vessel area density (vessel_density) decreased significantly (P &lt; 0.05). Logistic regression analysis identified length_avg_a, branch_avg_v, angle_avg_v, asymmetry_avg_v, vessel_length_density, and vessel_density as independent predictors of mild-to-moderate NPDR in patients with T2DM. …”
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Inappropriate medication prescribing, polypharmacy, potential drug-drug interactions and medication regimen complexity in older adults attending three referral hospitals in Asmara,... by Nuru Abdu, Saleh Idrisnur, Hanae Said, Lude Kifle, Natnael Habte, Semira Ghirmai, Tomas Tewelde, Senai Mihreteab Siele, Eyasu H. Tesfamariam

“…Descriptive statistics, logistic regression, Pearson’s correlation coefficient, independent samples t-test, one-way Analysis of Variance, and paired t-test were employed using IBM SPSS (version-26.0). …”
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Analysis of postoperative atrial fibrillation and its associated factors in Morrow procedures with cardiopulmonary bypass by Zhibin Hu, Wenshuai Mao, Lijun Guo, Zhiwei Liu, Xujie Hu, Yong Cui

“…The results of the multivariate logistic regression analysis indicated that the occurrence of POAF was independently associated with age (OR = 1.047, 95% CI: 1.015–1.080), ΔSII(OR = 13.317, 95% CI: 3.103–57.154) and UFTCA(OR = 0.054, 95% CI: 0.006–0.493) (p < 0.05). …”
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