The Effect of Competence, Workload and Compensation on the Performance of Family Assistance Team (FAT) Cadres in Reducing the Risk of Stunting in the Buleleng District Area by I Putu Aprilia Pratama, Henry Sudiyanto, Eka Diah Kartiningrum, Sulis Diana

“…The results of data analysis were carried out using multiple linear regression. …”
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Have a place to live? – study on the influence of the living environment on the subjective well-being of older adults by Juan Luo, Ziyi Han

“…Methods Drawing on environmental adaptation theory, socio-emotional selectivity theory, and social support theory, this study utilized 4,298 valid samples from the 2020 China Family Panel Studies (CFPS). A linear regression model was constructed to analyze how differences in living environments—classified into physical, social, and spiritual dimensions—affect older adults’ subjective well-being. …”
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Influence of odontogenic lesions on root development in impacted teeth: a cohort study by Selene Barone, Alessandro Antonelli, Antonio Madonna, Vincenzo Greco, Massimo Borelli, Francesco Bennardo, Amerigo Giudice, Lucia Cevidanes

“…Fisher's exact text was applied to compare the prevalence of dilaceration in both groups. In order to analyze the influence of each additional variable on dilaceration, a multivariate analysis was performed through logistic regression.ResultsRoot dilaceration was significantly more common in Group IwL (72.73%) than in Group IwoL (18.18%) (p = 0.030). …”
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Preoperative platelet-to-lymphocyte ratio is a valuable prognostic biomarker in patients with hepatocellular carcinoma undergoing curative liver resection by Hao-Jie Yang, Jing-Hang Jiang, Qing-An Liu, Cheng-Mao Zhou, Yang-feng Du, Tao Wu, Neng-Zhi Chen, Bang-De Xiang

“…Multivariate analysis showed PLR to be an independent risk factor for OS (p = 0.003). …”
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Association between arterial stiffness and MASLD in US young adults: base on NHANES 2005-2018 by Qing-zhong Li, Jia-xin Tan, Quan-Zhi Qin, Guo-tian Ruan, Teng Deng, Yi-zhen Gong

“…The association between MASLD and arterial stiffness was analyzed using weighted multiple logistic regression models and restricted cubic splines. …”
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The mediating role of professional identity in the relationship between gender misconceptions and occupational stigma among male nursing students by Shaimaa Mohamed Amin, Doaa El Demerdash, Ahmed Abdellah Othman, Mohamed Ali Zoromba, Heba Emad El-Gazar, Mohamed Hussein Ramadan Atta, Ali Albzia, Mahitab Mohamed Abdelrahman, Ibrahim Alasqah, Haitham Mokhtar Mohamed Abdallah

“…Descriptive statistics, Pearson’s correlation, and Linear regression analysis were employed to analyze the data. …”
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Relationship between quantitative parameters of contrast⁃enhanced ultrasound and EMT⁃related markers and prognosis in patients with liver metastasis of colorectal cancer by CHEN Xi*，SUN Gaixia，WANG Likun，WU Xueliang

“…<b>Methods</b> A total of 102 patients with CRLM admitted to The First Affiliated Hospital of Hebei North University from June 2018 to July 2021 were selected as the study objects. Logistic regression was used to analyze the correlation between CEUS quantitative parameters and prognosis，and the correlation between the expression level of EMT related markers and CEUS quantitative parameters. …”
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Dynamic Nomogram for Predicting the Fall Risk of Stroke Patients: An Observational Study by Wu Y, Jiang X, Wang D, Xu L, Sun H, Xie B, Tan S, Chai Y, Wang T

“…Forward stepwise regression was used to analyze the data, and a dynamic nomogram model was developed.Results: During follow-up, three patients died, and 16 failed the follow-up, with a failure rate of 3.89%. …”
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Predictive Models Using Machine Learning to Identify Fetal Growth Restriction in Patients With Preeclampsia: Development and Evaluation Study by Qing Hua, Fengchun Yang, Yadan Zhou, Fenglian Shi, Xiaoyan You, Jing Guo, Li Li

“…On the whole, urinary protein quantification, umbilical artery systolic-to-diastolic ratio, and gestational week of delivery exhibited the highest contributions to the model performance (c=0.45, 0.34, and 0.33) based on SHAP analysis. For specific individual patients, SHAP results reveal the protective and risk factors to develop FGR for interpreting the model’s clinical significance. …”
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Tumor-infiltrating CD4+ CD25+ FOXP3+ Treg is associated with plasma EBV DNA and disease progression in nasopharyngeal carcinoma by Enzi Feng, Yaoyu Yang, Jie Yang, Rongyi Hu, Ling Tian, Xinyu Yang, Meng Yang, Qianqian Qu, Yanxin Ren, Xiaojiang Li

“…HALO software was used to analyze whole-slide images. The correlation between two factors was assessed using Spearman analysis. …”
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Anxiety and depression: ten-year changes of prevalence and its association with demographic and socio-economic characteristics according to the ESSE-RF study by S. E. Evstifeeva, S. A. Shalnova, V. A. Kutsenko, Yu. A. Balanova, A. E. Imaeva, A. V. Kapustina, M. B. Kotova, S. A. Maksimov, G. A. Muromtseva, O. A. Litinskaya, M. S. Pokrovskaya, E. B. Yarovaya, E. M. Filichkina, A. G. Soplenkova, L. I. Gomanova, Yu. V. Doludin, E. A. Efimova, A. L. Borisova, N. S. Karamnova, O. B. Shvabskaya, B. M. Nazarov, T. V. Repkina, T. O. Gonoshilova, A. V. Kudryavtsev, N. I. Belova, L. L. Shagrov, M. A. Samotrueva, A. L. Yasenyavskaya, E. N. Chernysheva, S. V. Glukhovskaya, I. A. Levina, E. A. Shirshova, E. B. Dorzhieva, E. Z. Urbanova, N. Yu. Borovkova, V. K. Kurashin, A. S. Tokareva, Yu. I. Ragino, G. I. Simonova, A. D. Khudyakova, V. N. Nikulin, O. R. Aslyamov, G. V. Khokhlova, A. V. Solovyova, A. A. Rodionov, O. V. Kryachkova, Yu. Yu. Shamurova, I. V. Tantsyreva, I. N. Baryshnikova, M. G. Ataev, M. O. Radzhabov, M. M. Isakhanova, M. A. Umetov, L. V. Elgarova, I. A. Khakuasheva, E. I. Yamashkina, N. V. Esina, T. A. Kunyaeva, A. M. Nikitina, Yu. E. Spiridonova, N. V. Savvina, E. A. Naumova, A. A. Keskinov, D. A. Kashtanova, V. S. Yudin, S. M. Yudin, A. V. Kontsevaya, O. M. Drapkina

“…Analysis of the association between factors and a binary variable was carried out using the logistic regression method. …”
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Association between dietary patterns and overweight and obesity among primary and middle school students by JIANG Nan, TANG Xiaomin, SUN Wentao

“…Dietary patterns were determined using factor analysis, and the dietary pattern factor scores were divided into Q1, Q2, Q3, and Q4 groups based on quartiles. …”
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Clinical and pathogenetic role of immunoinflammatory activation and endothelial dysfunction in patients with coronary heart disease associated with hypothyroidism based on the resu... by N. S. Mykhailovska, T. V. Oliynyk

“…The complex clinical examination including clinical, biochemical, immune-enzyme and instrumental methods of examination, correlation and regression analysis of the data was carried out. …”
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A Composite Index for Distinguishing Benign and Malignant Obstructive Jaundice by Peng H, Li J, Zhou X, Nong Z, Zhang R, Lu P, Ye S, Lei L, Qin C, Li J

“…The cases were divided into two groups: malignant and benign obstructive jaundice group. Logistic regression analysis was used to build a prediction model for judging the nature of obstructive jaundice, and the prediction model was verified using the validation cohort.Results: Multivariate analysis revealed that CEA, TBIL, and NLR were independent factors in malignant obstructive jaundice. …”
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Nonlinear relationship between lumbar bone mineral density and high-density lipoprotein cholesterol in patients with type 2 diabetes by Yu-Hua He, Shi-Li Gu, Yang-Yang Chen, Ming-Mei Xue, Su-Juan Liu, Fang-Fang Guo, Chang-Hua Liang

“…Statistical analyses employed comprehensive methods: univariate analysis to examine initial variable relationships, generalized additive models for non-linear curve fitting, segmented regression for threshold effects, stratified subgroup analysis to explore potential effect modifications, and mediation analysis to explore potential indirect effect mechanisms.ResultsThis work revealed that after controlling confounding factors, an independent nonlinear correlation was observed between lumbar BMD and serum HDL-C in T2DM patients. …”
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The Relationship between Temperament and Character with Wisdom Through Cognitive Regulation Strategies of Emotion by Fahime Naseri, Yasser Azizisaeid

“…Using the formula for determining the sample size in regression analysis, 400 students of Islamic Azad University of Hamedan Branch, Hamedan, Iran were selected as the sample of this study. …”
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Association between serum uric acid levels and white matter hyperintensities in patients with mild ischemic stroke by Chaoxin Chai, Chaoxin Chai, Chaoxin Chai, Yuqi Cui, Yuqi Cui, Yuqi Cui, Meng Li, Meng Li, Meng Li, Jianing Xia, Jianing Xia, Jianing Xia, Yiming Wang, Yiming Wang, Yiming Wang, Fuyun Ren, Fuyun Ren, Fuyun Ren, Liping Chen, Liping Chen, Liping Chen

“…According to the score of Fazekas, WMH was divided into two groups. Factors influencing WMH severity were analyzed, and the relationship between SUA and WMH was further explored. …”
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Association between the cardiometabolic index and cardiovascular disease risk in patients with cardiovascular-kidney-metabolic syndrome: a cohort study by De-Gang Mo, Tao Liu, Jing-Xian Bai, Min Liu, Qian-Feng Han, Heng-Chen Yao

“…All participants were followed up over a period of 9 years, with the endpoint event being the occurrence of CVD. Cox regression models were used to analyze the association between CMI and CVD risk. …”
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Surveillance as a Socio-Technical System: Behavioral Impacts and Self-Regulation in Monitored Environments by Dana Volosevici, Gheorghe Dan Isbasoiu

“…A structured questionnaire was administered to 358 university students, and data were analyzed using exploratory and confirmatory factor analysis to validate latent constructs, followed by ordinal logistic regression and mediation analysis to test key hypotheses. …”
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Dietary inflammatory index and mortality in middle-aged and elderly patients with metabolic syndrome by Xiangmei Li, Lei Liu, Xing Li, Long Yang, Li Men

“…Kaplan-Meier (KM) survival curves were used to analyze survival outcomes. Cox proportional hazards regression models were employed to assess the relationship between DII and mortality, with adjustments made for potential confounding factors. …”
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