The Impact of Digital Economic Development and Government Intervention on China’s Pension Insurance Fund Income: Moderated Chain Mediation Effects by Wenshuo Han, Xiwen Yao, Huijun Gao, Zheng Gao

“…In view of this, based on the provincial panel data from 2011 to 2020, this paper analyzes the effect and mechanism of the digital economy on the pension income by using the moderated chain intermediary model and random forest regression. …”
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Research on the suitability of production, living and ecological space development in Duolun County, Inner Mongolia by Dongchang Liu, Aruhan, Aruhan, Sai Na

“…Advanced statistical models, including geographically weighted regression and spatial autocorrelation analysis, were employed to systematically analyze the spatiotemporal evolution characteristics of PLES development suitability and spatial conflicts. …”
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Association between red cell distribution width-to-albumin ratio and short-term mortality in patients with sepsis-associated delirium: a retrospective study from the MIMIC-IV datab... by ShengJie Yao, Guofen Zhang, Lifeng Ni

“…To mitigate potential confounding factors, a 1:1 propensity score matching (PSM) method was implemented. …”
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Vessel wall imaging of vertebrobasilar artery configurations associated with posterior circulation infarction and high-risk atherosclerotic plaques by Jingtong Xiong, Yue Liu, Lingjun Mei, Chen Zhang, Jiying Xia, Honghai Chen, Xiaofeng Qu, Jianlin Wu

“…Multivariable logistic regression analysis revealed that high-risk plaque [odds ratio (OR) = 1.997 (1.039–3.837), P = .038], the mean diameter of bi-VAs [OR = 1.557(1.012–2.395), P = .044], and the grade of BA lateral position [OR = 1.416 (1.029–1.950), P = .033] were independent risk factors associated with PCI. …”
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Perception of Women regarding Respectful Maternity Care during Facility-Based Childbirth by Pratima Pathak, Bijaya Ghimire

“…Statistical Package for Social Science (SPSS) version 16 was used for data analysis. Frequency, percentage, mean score, standard deviation, chi-square test, and binary logistic regression were used to analyze descriptive and inferential statistics. …”
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Association between single nucleotide polymorphisms in EPAS1 and PPARA genes and high altitude polycythemia in Chinese Tibetan population by Ziyi Chen, Zhaomei Dong, Rong Zeng, Mengna Xu, Yuanyuan Zhang, Qu Dan, Guangming Wang

“…Methods We included 78 HAPC patients and 84 healthy controls, and genotyped the EPAS1 gene SNP loci (rs6735530, rs6756667, rs7583392, and rs12467821) and PPARA rs6520015 by using TaqMan polymerase chain reaction. Logistic regression was used to analyze the association between these SNPs and HAPC; interactions between SNPs were also predicted by multifactorial dimensionality reduction (MDR) analysis.ResultsWe found that the PPARA rs6520015 polymorphism was not associated with the risk of HAPC in the Chinese Tibetan population; EPAS1 rs6735530, rs6756667, rs7583392, and rs12467821 increased the risk of HAPC in some models. …”
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Differences between COVID-19 and non-COVID-19 patients’ bloodstream infections: a single-center retrospective study by Çağla Keskin Sarıtaş, Halit Özsüt, Aysun Benli, Seniha Başaran

“…Descriptive statistics were used to analyze differences between the groups. Logistic regression analysis was applied to determine mortality risk factors in BSI patients. …”
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Cross-Sectional and Longitudinal Assessment of Sociodemographic and Lifestyle Determinants of Metabolic Syndrome and Hypertriglyceridemic Waist Phenotypes in 139,634 Spanish Worker... by Joan Obrador de Hevia, Ángel Arturo López-González, José Ignacio Ramírez-Manent, Carla Busquets-Cortés, Pedro Juan Tárraga López, Pere Riutord-Sbert

“…<b>Conclusions:</b> Sociodemographic disparities and modifiable lifestyle factors significantly influence the prevalence and progression of MetS and HTGW in the Spanish workforce. …”
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Peer Effects in Corporate Disclosure Decisions Mohammad Hossein Safarzadeh*: Associate professor of Accounting, Faculty of Management and Accounting, Shahid Beheshti University, Te... by Mohammad Hossein Safarzadeh, Hamideh Asnaashari, Alireza Panahalipour

“…Linear multivariate regression models, along with the two-stage least squares method using average idiosyncratic equity returns of peer firms in the same industry (Pshock) as the instrumental variable, were used to analyze the data and test the research hypotheses. …”
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The mediating role of family adaptability in the relationship between insecure attachment and family functioning in patients with major depression disorder: a cross-sectional study by Xinlei Cheng, Xinlei Cheng, Xinfei Li, Jinlong Zhao, Jinlong Zhao, Lei Wang, Lei Wang, Xiaoning Shi, Xiaoning Shi

“…Regression analysis established both IA and FA as reliable predictors of FF. …”
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Epigenetic clocks as mediators of health behaviors and mortality in middle-aged and older adults by Xing-Ling Chen, Qiang-Qiang Zhao, Sheng-Rong Lin, Xing-Ling He, Xiao-Jiao Zhang, Si-Jing Li, Zi-Ru Li, Jia-Hui Chen, Hua Zhang, Xiao-Fang Li, Yue-Hui Zhou, Hui-Li Liao, Shu-Ning Sun, Zhong-Qi Yang, Shi-Hao Ni, Lu Lu

“…This study investigates associations between lifestyle factors, EAA biomarkers, and mortality risk. Method: The 2532 adults of 50 years or older that registered in NHANES between 1999–2002.This study evaluated compares first- to third-generation epigenetic clocks (HannumAge, HorvathAge, PhenoAge, GrimAge2, DunedinPoAm) in predicting mortality risk associations between five lifestyle domains (diet, abdominal adiposity, physical activity, smoking, alcohol) and EAA were analyzed via multivariable regression, with mediation models testing EAA’s role in lifestyle-mortality relationships. …”
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Outcomes of infective endocarditis in patients with end-stage renal disease in Spain: a population-based study by Daniel Gómez-Ramírez, Carmen Olmos, Cristina Fernández-Pérez, Náyade del Prado, Nicolás Rosillo, José Luis Bernal, Pablo Zulet, Isidre Vilacosta, Francisco Javier Elola

“…A multivariable and multilevel logistic regression model was constructed to assess the association between various factors and in-hospital mortality in ESRD patients. …”
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Prognostic implications of the interaction between intratumoral microbiome and immune response in gastric cancer by Sifan Liu, Lingyu Qi, Lu Dong, Wenjing Sun, Siying Liu, Peng Li, Nan Zhang

“…A prediction risk model was constructed using the LASSO regression analysis and showed great prognostic value for GC patients. …”
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The predictive value of changes in 18F-FDG PET/CT cardiac uptake patterns and metabolic parameters for anthracycline based chemotherapy induced cardiac toxicity in lymphoma patient... by Runlong Lin, Aijuan Tian, Ying Wang, Xiaomei Wang, Xin Yuan, Jing Yu, Guihua Li, Wenli Xie

“…Logistic regression analysis was employed to identify risk factors for CTR-CVT.…”
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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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Rapid diagnosis of stress-related states to guide health-enhancing physical activity for university students by Olena Andrieieva, Nataliia Byshevets, Mykhailo Dudko, Ihor Synihovets, Nataliia Korzh

“…Statistically significant (p<0.05) generalized regression models were constructed that establish relationships between students’ stress-related states and multidirectional stress-related factors (gender, psychophysiological indicators, physical condition, mental state, etc.). …”
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Exploring the impact of angiotensin-converting enzyme (ACE) gene polymorphism on early diastolic function in hypertension using four-dimensional echocardiography by Xinyu Cheng, Zhiyi Zong, Xiaofei Mei, Yufeng Jiang, Jinsheng Shen, Hezi Jiang, Hui Xu, Yafeng Zhou

“…Chi-square tests were used to analyze differences in diastolic function indicators between the groups, Logistic regression was applied to control for potential confounding factors, and receiver operating characteristic (ROC) curves were plotted to assess the predictive value of different ACE alleles for diastolic dysfunction in patients with hypertension. …”
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