Positive rate and influencing factors of adolescent idiopathic scoliosis among school children aged 9 to 18 years in Xiamen, China by Zhongrui Peng, Yuanchao Li, Hong Yang, Yanfang Jiang, Yuqing Li, Mengyang Gao, Yangjingling Hua, Guimei Liu, Manqi Zhou, Tianmu Chen, Huarong Hong, Lei Li

“…Demographic data, clinical characteristics, and behavioral factors were collected using a questionnaire, and logistic regression analysis was conducted to analyze the possible risk factors. …”
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Trends and Hospitalization Outcomes of Tetanus Cases: A Multicenter Retrospective Study in Suzhou, 2013–2023 by Yu J, Zheng B, Liu N, Zhu Y, Hui F, Zhang J, Luan L

“…Differences between the two groups were compared using the Chi-squared test, Fisher’s exact test and Mann–Whitney U-test. Binary logistic regression analysis was used to evaluate potential risk factors for severe disease.Results: A total of 63 patients with tetanus were included in this study. …”
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Predictive Factors for COVID-19 Severity in Patients with Axial Spondyloarthritis: Real-World Data from the Romanian Registry of Rheumatic Diseases by Andreea-Iulia Vlădulescu-Trandafir, Violeta-Claudia Bojincă, Cristina Popescu, Constantin Munteanu, Andra-Rodica Bălănescu, Aurelian Anghelescu, Justin Aurelian, Roxana Bistriceanu, Sebastian Giuvara, Elena Grădinaru, Emanuela-Elena Mihai, Daniel Nițu, Mihaela-Ruxandra Vintilă, Gelu Onose

“…This study aims to identify predictive factors for severe COVID-19 outcomes and provide a descriptive analysis of axSpA patients infected with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), using real-world data from the Romanian Registry of Rheumatic Diseases (RRBR). …”
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Risk factors for poor outcomes in patients with drug-resistant tuberculosis: a 6-year multicenter prospective study in Zhejiang, China by Xuewen Feng, Li Hong, Zhongkang Ji, Cheng Ding, Yanwan Shangguan, Wanru Guo, Songhua Chen, Zebao He, Ying Zhang, Bing Ruan, Kaijin Xu

“…Binary logistic regression model was used to analyze the related risk factors of poor outcomes in patients with DR-TB. …”
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Innovative integration of rural initiatives for participatory agricultural transformation (RIPAT) and farmer market school (FMS): a pathway to enhanced income and dietary diversity by Rogers Andrew Lumenyela, Emanuel Timothy Malisa, Christopher Paul Mahonge, Suzana Samson Nyanda

“…Data were analyzed using descriptive statistics, a multivariate multiple regression model, and content analysis. …”
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Hematological abnormalities and associated factors among patients with thyroid hormone dysfunction at the University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopi... by Befikad Mandefro, Amanuel Kelem, Zenebe Abebe Gebreegziabher, Yemataw Gelaw, Elias Shiferaw, Tiruneh Adane

“…Data was entered by Epi data version 3.1 and analyzed by Stata version 14. Binary and multivariable logistic regressions were done to identify associated factors of hematological abnormality. …”
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IGWO-MSVR model for predicting stress in coal seam during drilling process by Jian Tan, Yanfeng Geng, Liangke Xu

“…Then, utilized Grey Wolf Optimizer (GWO) model to optimize the relevant factors which appear in Modified Support Vector Regression model (MSVR). …”
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Expression profile, clinical significance, and biological function of insulin-like growth factor 2 messenger RNA-binding proteins in non–small cell lung cancer by Run Shi, Xinnian Yu, Yajing Wang, Jing Sun, Qi Sun, Wenjie Xia, Gaochao Dong, Anpeng Wang, Zhaojia Gao, Feng Jiang, Lin Xu

“…Multivariate regression analysis showed that high level of IGF2BP3 was an independent risk factor for poor prognosis in lung adenocarcinoma patients (hazard ratio = 1.616, p = 0.017). …”
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Osteoporosis in Wilson’s disease: A large cohort study highlighting age, sex and skeletal symptoms as key risk factors for clinical surveillance by Ling Zhu, Bin Song, Yun Xu, Yu-long Zhu, Lei Hua, Na Nian, Long Zhang, Quan Sun, Ben-chun Xue, Yin Xu, Yong-sheng Han

“…The rates of prevalence of osteoporosis and osteopenia were calculated, and the risk factors of osteoporosis and osteopenia were analyzed by multivariate ordered logistic regression. …”
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Effectiveness of digital self-care device for at risk drinking problems: focus on individuals at risk for alcohol-related issues by Yong Chan Jeong, Yong Jin Kim, Sung Won Roh, Eun Seon Seo, Hong Seok Oh, In Suk Lee, Eun Ji Lee, Hyeon Ji Cho, Sang Kyu Lee

“…Subsequently, a multiple regression analysis was conducted to explore the factors influencing continuous days of sobriety. …”
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Factors affecting nurses’ childbearing intentions of nurses working in teaching hospitals in Yazd, Iran: a study based on theory of planned behavior by Adel Eftekhari, Tahere Sharifi, Nahid Khoddami, Mostafa Sadoghian, Somayeh Abedini, Najmeh Baghian

“…To do so, 190 nurses were selected using stratified proportional random sampling and a 14-item questionnaire developed by Nakhaei et al. study was completed. Data were analyzed using descriptive statistics (mean and standard deviation) and inferential statistics including independent samples T-test, one-way ANOVA, Mann-Whitney test, Kruskal-Wallis, Pearson correlation coefficient, Spearman correlation coefficient, and logistic regression. …”
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Utilization rate and associated factors of ANC care services among Santhal tribe women of Jharkhand, India—A cross-sectional study by Niranjan Kumar, Rahul K. Sah, Paramjot Panda, Jyoti R. Mohanty, Snehasish Tripathy, Sapna Negi, Haritha Sri, Vini Mehta

“…FGDs were analyzed using a content analysis approach. Results: A total of 269 tribal women were surveyed. …”
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Detection of urinary levels of matrix metalloproteinase-7 and tumor necrosis factor-like weak inducer of apoptosis in patients with IgA nephropathy and values in predicting disease... by Ma Yong-duo, Wang Cong, Li Hai-xiang, Wu Huan

“…ObjectiveTo explore the expressions of urinary matrix metalloproteinase-7 （MMP-7） and tumor necrosis factor-like weak inducer of apoptosis （TWEAK） in patients with IgA nephropathy （IgAN） and examine its predictive value.MethodsFrom January 2018 to March 2021，115 IgAN patients and 50 normal subjects （control group） were selected.Based upon the progress of IgAN，115 cases of IgAN patients were divided into two groups of IgAN progressive （<italic>n</italic>=42） and IgAN non-progressive （<italic>n</italic>=73）.According to the IgAN Oxford classification criteria，they were assigned into two groups of MEST-C≥3 （<italic>n</italic>=45） and MEST-C&lt;3 （<italic>n</italic>=70）.The levels of urinary MMP-7 and TWEAK were compared between two groups.Multivariate Logistic regression was utilized for analyzing the risk factors of IgAN progression.Receiver operating characteristic （ROC） curve was plotted for examining the values of urinary MMP-7 and TWEAK levels in predicting IgAN progression.ResultsThe levels of urinary MMP-7 （15.72±7.85 <italic>vs</italic> 6.92±0.53 ng/mL） and TWEAK were significantly higher in IgAN progressive group than those in IgAN non-progressive group ［（958.47±42.60） <italic>vs</italic> （206.73±15.18）ng/mL，<italic>P</italic>&lt;0.001］.The levels of urinary MMP-7 ［（23.92±9.27） <italic>vs</italic> （18.15±8.36） ng/mL］ and TWEAK ［（1408.70±71.15） <italic>vs</italic> （1036.28±50.72） ng/mL］ were significantly higher in MEST-C≥3 score group than those in MEST-C&lt;3 score group （<italic>P</italic>&lt;0.001）.Multivariate Logistic regression analysis indicated that elevated levels of MMP-7 ［<italic>OR</italic>=2.986 95%<italic>CI</italic>（2.146，-8.513）］ and TWEAK ［<italic>OR</italic>=3.370 95%<italic>CI</italic>（2.752，-10.118）］ were the risk factors affecting the progression of IgAN.Receiver operating characteristic （ROC） curve indicated that the area under the curve （AUC） of MMP-7 and TWEAK in predicting IgAN progression was 0.948 （95% <italic>CI </italic>0.885-0.997） with a sensitivity of 97.5% and a specificity of 85.0%.Correlation analysis indicated that the urinary levels of MMP-7 and TWEAK were significantly positively correlated with M，E，S and T （<italic>P</italic>&lt;0.001）.ConclusionThe elevated urinary levels of MMP-7 and TWEAK are the risk factors affecting the progression of IgAN.Both may be used as biological indicators for predicting the progression of IgAN.…”
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Factors affecting disease progression in early-stage chronic kidney disease in a multi-ethnic, southeast Asian primary care population by Hui Qi Koh, Xueling Sim, Sky Wei Chee Koh

“…Multivariable logistic regression was used to analyze the factors associated with CKD progression among early-stage CKD patients.ResultsAmong 19,274 patients analyzed, CKD progression occurred in 1,992 patients (10.3%). …”
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Water, Sanitation, and Hygiene Risk Factors on the Prevalence of Diarrhea among Under-Five Children in the Rural Community of Dangila District, Northwest Ethiopia by Bizuayehu Hailu, Wu Ji-Guo, Tadesse Hailu

“…Data were entered into Epi Info and analyzed using SPSS software. Descriptive analysis was used to calculate the prevalence of diarrhea. …”
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Dietary Practice and Associated Factors among Pregnant Women in Misha Woreda, South Ethiopia: A Community-Based Cross-Sectional Study by Lonsako Abute, Abera Beyamo, Belay Erchafo, Tegegn Tadesse, Dawit Sulamo, Tagesse sadoro

“…The data were entered in EpiData V-3.1 and analyzed using SPSS version 21. Binary logistic regression analysis was also employed to examine the association between dependent and independent variables. …”
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Risk factors for early suspected ventilator-associated pneumonia in severe thoracic blunt trauma patient: A French national cohort study. by Gary Duclos, Victor Vidal, Noemie Resseguier, Mathieu Boutonnet, Thomas Botrel, Gerard Audibert, Manon Séguret, Vincent Legros, Caroline Jeantrelle, Anh Dao Phan, Olivier Langeron, Elisabeth Gaertner, Jean-Luc Hanouz, Thomas Clavier, Véronique Ramonda, Fanny Bounes, Paër-Selim Abback, Mathieu Willig, Julien Pottecher, Marc Leone, for Traumabase® Group

“…The study included patients with severe blunt thoracic trauma requiring invasive mechanical ventilation. Data analysis focused on identifying independent risk factors for early suspected VAP (occurring within 48 hours to 5 days after ICU admission) using two models of logistic regression.…”
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Incidence of Severe Postpartum Hemorrhage and Factors Influencing Labor Induction in Patients with Hypertension and Non-Severe Preeclampsia during Full-Term Pregnancy by Yili Song, Maoling Yin, Yinghua Yu, Rong Xu

“…Furthermore, a lower incidence of postpartum urinary retention was observed in the non-severe hemorrhage group compared to the severe hemorrhage group, with a statistically significant difference (p < 0.05). Logistic regression analysis identified the use of oxytocin during labor, mode of delivery, time between the start of induction and delivery, and postpartum urinary retention as independent factors influencing the incidence of severe PPH in patients with non-severe preeclampsia (p < 0.05). …”
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Clinicopathological Features and Prognostic Factors of Renal Cell Carcinoma in Young Patients Under 45 Years: A Single-Center Retrospective Study by Gao Y, Yan H, Zhang T, Lu G, Ma L

“…The 3 - year and 5 - year survival rates for the asymptomatic group were 100% and 97%, respectively, while for the symptomatic group, they were 94% and 83%, respectively. Single - factor Cox regression analysis revealed that symptoms, hypertension, clinical stage, pathological grade, and pathological type were independent risk factors for overall survival in young renal cancer patients.Conclusion: Young RCC patients present with unique clinicopathological characteristics and prognostic factors. …”
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Deep brain stimulation surgical timing, outcomes, and prognostic factors in patients with Parkinson's disease: A Chinese retrospective multicenter cohort study. by Shu Wang, Wei Hu, Yuan Gao, Anxin Wang, Ling Chen, Zhanhua Liang, Shizhong Zhang, Hao Long, Weiguo Li, Chaoshi Niu, Weiguo Liu, Guoen Cai, Yuchen Ji, Joseph Tam, Qin Xu, Anchao Yang, Lin Shi, Hua Zhang, Chunlei Han, Guanyu Zhu, Yutong Bai, Lulu Jiang, Tao Li, Shan Xue, Hongxiao Wang, Yuexuan Li, Chi Xiong, Andres M Lozano, Adolfo Ramirez-Zamora, Wenbin Zhang, Fangang Meng, Jianguo Zhang, DBS-PDCC2 Collaboration

“…Relative changes in scores were analyzed for within- and between-group comparisons, and prognostic factors were identified via multivariable linear regression. …”
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