A retrospective cohort study on the association between mothers’ prolonged internet usage and severe early childhood caries in their children by Aya Sakakihara, Chiyori Haga, Aya Kinjo, Yoneatsu Osaki

“…Excluding cases lacking information or indications of the presence of dental caries at Age 1.5, we analyzed 1,938 records. We performed logistic regression analysis, with S-ECC as the dependent variable and the mother’s Internet usage time at Age 1.5 as the independent variable, while including parental toothbrushing supervision and other factors as covariates. …”
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Exploring the link between the ZJU index and sarcopenia in adults aged 20–59 using NHANES and machine learning by Huan Chen, Ning Du, Hong Xiao, Zhao Wang

“…Machine learning identified ZJU, education, and race as key predictors, underscoring the impact of socioeconomic factors.…”
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Racial Disparities in Parkinson Disease Clinical Phenotype, Management, and Genetics: Protocol for a Prospective Observational Study by Deborah A Hall, Josh M Shulman, Andrew Singleton, Sara Bandres Ciga, Michelle Hyczy S Tosin, Bichun Ouyang, Lisa Shulman

“…Linear multivariate regression analysis will be used, except for comparing PD management, which will be analyzed using the chi-square test or Fisher exact test. …”
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Study on the Influence of Strip-Shaped Urban Rail Transit Stations on Urban Vitality Distribution Based on Point of Interest Data by Yuchen Wu, Min’an Yang, Xin Li, Xu Wei, Yongsheng Qian

“…Through statistical analysis and model construction, these influencing factors are systematically evaluated to establish a relatively stable linear regression equation that quantifies the weights assigned to each factor. …”
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Medium-term clinical outcomes of laminoplasty with adjunct short anterior fusion in multilevel cervical myelopathy by Tsung-Chiao Wu, Kuang-Ting Yeh, Ru-Ping Lee, Tzai-Chiu Yu, Ing-Ho Chen, Cheng-Huan Peng, Kuan-Lin Liu, Jen-Hung Wang, Wen-Tien Wu

“…The objective of this study was to evaluate the medium-term clinical outcomes of this procedure and to analyze the risk factors affecting the neurological function at the last follow-up. …”
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Evaluation of patients with decreased general condition and comparing HOTEL, WPS, and REMS for mortality prediction by Emine Aykol, Mehmet Cihat Demir, Kudret Selki, Hasan Sultanoğlu

“…The study aimed to compare the scoring systems to identify which is the best mortality predictor. Independent risk factors for 30-day mortality were analyzed using binary logistic regression and ROC curves to assess the effectiveness of HOTEL, REMS, and WPS scores in predicting mortality. …”
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Global Burden of Alzheimer’s Disease Attributable to High Fasting Plasma Glucose: Epidemiological Trends and Machine Learning Insights by Ma Y, Huang S, Dong Y, Jin Q

“…All rates were age-standardized. Joinpoint regression, age-period-cohort models, and ARIMA were employed to analyze trends and make future predictions. …”
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Predictors of hepatic steatosis in living liver donors by M. G. Minina, D. V. Voronov, A. A. Nevredimov, E. A. Tenchurina

“…Fatty liver disease (steatosis) is considered a risk factor in donor liver transplantation (LT). Macrosteatosis (>50%) is associated with primary graft dysfunction and may reduce long-term recipient survival.Objective: to identify predictors of macrovesicular steatosis (>50%) by analyzing donor characteristics.Materials and methods. …”
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Association between perceived neighborhood environment, sedentary behavior, walking, and moderate-to-vigorous physical activity and frailty: an isotemporal substitution model by Hee-kyoung Nam, Chang Won Won, Miji Kim, Sung-il Cho

“…Frailty as the response variable was defined using the Fried frailty phenotype. Multinomial regression was performed to analyze the outcome. The Isotemporal Substitution Model (ISM) was applied to examine the effects of replacing sedentary behavior with physical activity. …”
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Unplanned cesarean sections in advanced maternal age: A predictive model by Joyce Veenstra, Zoë Cohen, Fleurisca J. Korteweg, David P. van derHam, Simone M. Kuppens, Janna A. Kroese, Brenda B. Hermsen, Marije M. Kamphuis, Joost W. Vanhommerig, Maria G. vanPampus

“…Primary outcome was unplanned cesarean section, secondary outcomes included postpartum hemorrhage and neonatal outcomes. Multivariate regression analysis was performed to analyze predictive factors for unplanned cesarean sections in women who attempted vaginal delivery. …”
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Association between systemic immune-inflammation index and trimethylamine N-oxide levels in peripheral blood and osteoporosis in overweight and obese patients by Lingling Li, Lingling Li, Jinyang An, Jinyang An, Jia Bai, Jia Bai, Yangyang Zhang, Yangyang Zhang, Xinsai Li, Xinsai Li, Haihong Lv

“…Particularly in the group with VFA ≥ 100 cm2, there was an upward trend in SII and TMAO as bone mass decreased. Regression analysis found SII and TMAO negatively correlated with WB, LS, and femoral neck (FN) BMD, and positively correlated with osteoporotic fractures incidence (p < 0.05). …”
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CardioMEMS guided heart failure management in cardio-oncology patients: a tertiary care cancer center experience by Abdelrahman Ali, Maximillian Bourdillon, Hyeon-Ju Ryoo Ali, Juhee Song, Efstratios Koutroumpakis, Poonam Jewani, Shaden Khalaf, Ihab Hamzeh, Salil Kumar, Nicolas L. Palaskas, Jean-Bernard Durand, Cezar Iliescu

“…Post-implantation, we observed a reduction in HFH and improvements in pulmonary artery pressures. Cox regression identified prior HFH and elevated pulmonary artery systolic (PAS) and diastolic pressures (PAD) as risk factors for repeat HFH (HR: 1.24, 1.04, 1.07, respectively). …”
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The Association Between Thromboembolic Events and ALK, ROS1, RET Rearrangements or EGFR Mutations in Patients With Advanced Lung Adenocarcinoma: A Retrospective Cohort Study by Xiaohan Qian, Mengjiao Fu, Jing Zheng, Junjun Chen, Cuihong Cai, Jianya Zhou, Jianying Zhou

“…Clinical characteristics were analyzed, and the association between driver genes and TE risks was analyzed using competing risk and logistic regression. …”
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XGBoost-based machine learning model combining clinical and ultrasound data for personalized prediction of thyroid nodule malignancy by Wenhan Li, Wenhan Li, Yajing Zhou, Ziyu Luo, Ziyu Luo, Miao Tan, Miao Tan, Rui Yin, Jianhui Li, Jianhui Li

“…Random Forest (RF) and Lasso regression were used for feature selection. Furthermore, six ML models (KNN, Logistic Regression, RF, Classification Tree, SVM, and XGBoost) were developed and validated via 10-fold cross-validation, evaluating performance using area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity, calibration curves, and decision curve analysis (DCA).Results17 variables were influential factors for diagnosing TNs. …”
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Association of 24-Hour blood pressure average real variability with poor prognosis in critically ill patients with coronary artery disease by Peng-fei Sun, Yan Chen, Yu-Qin Zhan, Pan-pan Shen, Chen-yang Wu, Yu-bin Shen, Ya-hui Ding

“…Endpoints included in-hospital and 1-year mortality, analyzed using logistic regression, Cox proportional hazards regression, and restricted cubic splines. …”
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Are Worries and Postpartum Depression Influenced by Early Depressive Symptoms and Mothers’ Lack of Confidence? A Prospective Study by Carmen Ecija, Patricia Catala, Lorena Gutierrez, Cecilia Peñacoba-Puente

“…Conclusions: It is necessary to analyze factors related to postpartum depression from a multifactorial approach focused on the analysis of depression during pregnancy, but also including other variables such as mothers’ lack of confidence as possible risk factors of postpartum depression. …”
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Knowledge, attitudes and practices toward childhood vaccination among guardians in Chengdu, China: a cross-sectional study by Wen Liu, Hongxia Li, Ling Qin, Hui Wang, Kai Zhu, Taoyi Yang, Xufeng Jia, Lanqian Xu

“…A structured questionnaire assessed vaccination knowledge (13 items), attitudes (11 items), and practices (9 items). Data were analyzed using χ2 tests and logistic regression analysis (P < 0.05).ResultsAmong 612 participants (response rate 90.1%), 97.7% were aware that newborns require vaccination within 24 hours, but knowledge gaps existed regarding vaccine classifications (56.1% aware of Category I vaccines), adverse reactions (61.8%), and specific vaccines like meningococcal (47.1%) and hepatitis A (41.5%). …”
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Adherence to physical activity guidelines associated with self-care management and self-regulatory efficacy for type 2 diabetes among Black/African American men by Jeong-Hui Park, Tyler Prochnow, Ledric D. Sherman, Matthew Lee Smith, Meg Patterson, Yunlin Zhou

“…Results: Descriptive statistics, bivariate analyses and logistic regression models were used to analyze the relationships between PA adherence, self-care management and self-regulatory efficacy. …”
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Effect of Gaza war on the mental health of different generations in Egypt by Nadira Mansour Hassan, Rabab Ahmed Hammad, Amira Ahmed Abd El karem

“…Anxiety and stress were reported by approximately two-thirds of students, 51.0% of mothers, and 45.0% of fathers. Multiple logistic regression analysis identified frequent exposure to war news as a shared significant predictor of severe and extremely severe levels of depression (p = 0.004), anxiety, and stress (p < 0.001). …”
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Improving genomic prediction for plant disease using environmental covariates by Charlotte Brault, Emily J. Conley, Andrew C. Read, Andrew J. Green, Karl D. Glover, Jason P. Cook, Harsimardeep S. Gill, Jason D. Fiedler, James A. Anderson

“…Three methods were compared, all aimed at predicting untested genotypes in untested environments: the widely used Finlay-Wilkinson regression (FW), the joint-genomic regression analysis (JGRA) method, and mixed models incorporating an environmental covariates matrix. …”
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