Studying an educational intervention and its impact on health-related quality of life and fasting blood glucose levels among patients with type 2 diabetes mellitus in rural China by Shaofan Chen, Kristina Burström, Bo Burström, Dongfu Qian

“…FBG levels and HRQoL (assessed via EQ-5D-3 L, EQ-VAS, and Paretian Classification of Health Change [PCHC]) were analyzed using difference-in-differences (DID) models and multinomial logistic regression. …”
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Outcomes of Treatment in Ocular Myasthenia Gravis Based on Minimal Manifestation: A Real-World Retrospective Cohort Study by Kemchoknatee P, Santitamrongvtit B, Srisombut T

“…Baseline data, dosing, efficacy, and outcomes were analyzed using Cox regression and survival curves to identify predictors and time to first MM.Results: Of the 101 OMG, 81 patients (80.2%) achieved MM. …”
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Second-hand smoke exposure level in the household increases risk of chest pain and wheezing: evidence from Qatar biobank by Farah Issa, Marah Abdulla, Rana Abouzoor, Atiyeh M. Abdallah, Mohammed Al-Hamdani

“…Methods Secondary data of 6000 participants from Qatar Biobank between the age of 18 and 87 (47.8% females), consisting of Qatari nationals and long-term residents, who volunteered to participate in the study and provided self-report responses to a cross-sectional survey was analyzed. We controlled for a number of demographic and lifestyle factors when studying the relationship between the number of household members that smoke and the amount of time spent with them at home in the same room and chest pain/wheezing. …”
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Effect of asthma education intervention on self-management knowledge and control level in Tigray, Northern Ethiopia: a quasi experimental study by Tirhas Gebremedhin Gebresilassie, Alemayehu Worku, Ahmed Ali Ahmed, Negussie Deyessa Kabeta

“…The intervention's effect was analyzed using linear regression models for difference-in-differences and interaction effects, while heterogeneity analysis was performed using a generalized linear model. …”
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Assessing the drivers of sexual behavior among youth and its social determinants in Nepal. by Grishu Shrestha, Reecha Piya, Sampurna Kakchapati, Parash Mani Sapkota, Deepak Joshi, Sushil Chandra Baral

“…Bivariate and multivariate logistic regression analysis were conducted to determine the associations between social determinants and sexual behaviors.…”
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Triglyceride glucose index–body mass index as a predictor of coronary artery disease severity in patients with H-type hypertension across different glucose metabolic states by Lian Wang, Zijin Li, Rui Qiu, Li Luo, Xisheng Yan

“…The TyG-BMI was categorized into tertiles and analyzed using logistic regression models and restricted cubic spline (RCS) models to assess its association with multi-vessel CAD. …”
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Knowledge, Attitude, and Practice of Medical Staff Towards Metabolic Syndrome in Schizophrenia in Chinese Hospitals: A Cross-Sectional Study by Wang Y, Yu X, Chen H, Tang C, Zhang N

“…Multivariate logistic regression identified several factors independently associated with practice: higher knowledge scores (OR = 1.16), positive attitude scores (OR = 1.09), being female (OR = 2.64), having ≥ 16 years of experience (OR = 3.24), and previous experience in managing patients with metabolic syndrome in schizophrenia (OR = 0.50). …”
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The role of proximal femoral bone, muscle and subcutaneous adipose tissue in the discriminating of hip fracture types in elderly women by Yangtong Li, Chenjun Liu, Jing Lu, Yuehua Li, Hui Sun

“…Conclusion Gluteus medius and minimus muscles (G.Med/MinM) area, FN aBMD, FN vBMD and body mass index are all important independent factors in discriminating between different types of HF in women, and BMD plays a more significant role in acute HF compared to the size or density of gluteal muscles.…”
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Association of SCN1A Gene Polymorphisms with Sodium Valproate Resistance in Pediatric Epilepsy: A Retrospective Case-Control Study by Wang H, Geng T, Deng N

“…Multivariate logistic regression was performed to identify factors associated with drug resistance.Results: Significant differences in SCN1A genotype distributions were observed among groups for five foci: rs166859148, rs166894396, rs166848482, rs166915162, and rs166870333-335 (P < 0.05). …”
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Utilization of personal protective equipment and the hygiene sanitation practices of farmers in the application of pesticides by G. Fizulmi, H. Agustina

“…It also used the statistical package for the social sciences application to analyze data based on the chi-square test and multiple logistic regression.FINDINGS: The bivariate analysis results show a significant relationship between the habit of using personal protective equipment (masks) and farmers'' health problems, with a test value of 0.019 and an odds ratio of 4.24. …”
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A Novel Inflammation-Based Prognostic Score: The Fibrinogen/Albumin Ratio Predicts Prognoses of Patients after Curative Resection for Hepatocellular Carcinoma by Qiaodong Xu, Yongcong Yan, Songgang Gu, Kai Mao, Jianlong Zhang, Pinbo Huang, Zhenyu Zhou, Zheng Chen, Shaodong Zheng, Jiahong Liang, Zhihua Lin, Jie Wang, Jiang Yan, Zhiyu Xiao

“…The optimal cutoff value for the fibrinogen/albumin ratio was selected by receiver operating characteristic (ROC) curve analysis. Correlations between preoperative fibrinogen/albumin ratios and clinicopathologic characteristics were analyzed by χ2 test. …”
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Radiation induced dermatitis by increasing triglyceride levels to induce autophagy and inhibit the PI3K/Akt/mTOR signaling pathway by Yafang Hong, Hongdan Guan, Yunhao Chen, Yao Wang, Junjian Lin, Ying Wang, Yang Zhang, Rong Zheng, Xingchen Ding, Zihan Zhou, Benhua Xu

“…After RT, RD severity was assessed. A binary logistic regression analysis was used to determine risk factors. …”
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Game Modeling Possibilities in Product Assortment Management by D. A. Vlasov, P. A. Karasev, A. V. Sinchukov

“…The relevance of the research topic is due to the need of manufacturers to improve the mechanisms for managing the range of manufactured products.The following materials and methods of game modeling were used in the study: designing a set of players, designing a set of player strategies, quantitative assessment of the elements of the payoff matrix, techniques for reducing the degree of uncertainty, methods for choosing optimal strategies under conditions of complete and partial uncertainty, as well as generalizing the experience of using game models in the analysis of various economic situations.The focus is on game modeling that complements the mathematical and statistical methods traditionally used to formulate an assortment policy: mathematical programming methods - the task of optimizing an assortment given resource constraints, such as budget and stocks of raw materials used in the production process; multi-criteria choice methods - the task of taking into account several criteria when making decisions on the product assortment, such as product quality, product price, product demand, etc.; statistical analysis methods (the task of analyzing available sales data and identifying trends - regression analysis to forecast demand for manufactured products, identify relationships between various factors, such as product demand and prices, marketing efforts, seasonality, etc.; cluster analysis to segment products and customers based on previously identified characteristics, such as customer preferences and age, as well as associative analysis to identify relationships between products - determining product groups that can be presented together in the assortment); methods of time series analysis and simulation modeling (the task of forecasting demand for products based on available sales data; the task of fictitious implementation of various assortment management scenarios and quantitative assessment of their consequences).Results. …”
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The impact of circWWC3 on neoadjuvant therapy for triple-negative breast cancer and the construction of a nomogram for predicting pathological complete response after neoadjuvant t... by Haoqi Wang, Haoqi Wang, Hongbo Liu, Hongbo Liu, Shan Gao, Lijia Wang, Zihao Bai, Yi Zhang, Peijin Zhang, Fei Liu, Fei Liu, Cuizhi Geng, Cuizhi Geng

“…The expression levels of baseline circular RNA WWC3 (circWWC3) in breast cancer tissue were assessed, and the relationship between its expression and clinicopathological indicators as well as pathological response was analyzed. A nomogram for predicting pCR in TNBC was developed and subsequently validated.ResultsFrom January 2020 to December 2023, a total of 205 patients were included in the final analysis. …”
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The nomograph predicting the recurrence of Solid Pseudopapillary Neoplasm of the Pancreas: a study of the SEER database and a Chinese cohort by Qidong Pei, Junzong Chen, Gang Deng, Dong Li, Yajun Tang, Jiaming Lai, Di Tang

“…We collected data from our two hospitals as an external validation cohort from the years 2011 to 2021. Logistic regression analysis was used to analyze the related factors of recurrence, and a predictive nomograph model was established and verified. …”
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Retention of medical graduates from rural compulsory services program in primary care: An eight-year follow-up study based on four colleges by Zheng Huixian, Tang Haoqing, Li Mingyue, Tian Yiran, Han Leyang, Long Ren, Liu Xiaoyun

“…The surveys tracked their career development，including professional title promotion，administrative role acquisition，average monthly income，and the proportion of performance-based pay. Descriptive analysis was used to summarize the characteristics of career development，while Logistic regression models were employed to explore factors influencing retention in primary healthcare settings after the contractual period. …”
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Clinicopathological characteristics and diagnostic performance of metagenomic pathogen detection technology in mycobacterial infections among HIV patients by Man Li, Jiamin Chen, Liang Zhang, Xiangmei Chen, Jianfeng Zhou, Feifei Liu, Xingang Zhou, Jiang Xiao, Kun Yang, Liming Qi, Xiaoyi Han, Ting Liu, Hongxin Zhao, Zhen Zhou, Xiaoyou Chen, Lei Sun

“…Logistic regression analyses were performed to identify factors affecting detection rates.ResultsMycobacterial infection was detected in 95.5% (84/88) of patients. …”
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Prediction models for sleep quality among frontline medical personnel during the COVID-19 pandemic: cross-sectional study based on internet new media by Shangbin Huang, Qingquan Chen, Qingquan Chen, Shengxun Qiu, Rongrong Dai, Ling Yao, Jiajing Zhuang, Zhijie Wu, Yifu Zeng, Jimin Fan, Yixiang Zhang

“…The relevant influencing factors were obtained via univariate analysis and multivariate stepwise logistic regression analysis, and 80% of the data were used in the training-test set (n = 1,060) and 20% were used in the independent validation set (n = 266). …”
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Obesity Parameters as Predictor of Poor Outcomes in Hospitalized Patients with Confirmed Mild-to-Moderate COVID-19 by Nadya R. V. Barus, Dicky Levenus Tahapary, Farid Kurniawan, Robert Sinto, Syahidatul Wafa, Wismandari Wisnu, Arif Mansjoer, Calysta Nadya Wijaya, Immanuel Felix, Tri Juli Edi Tarigan, Dante Saksono Harbuwono, Pradana Soewondo

“…Cox regression was used for multivariate analysis; (3) Results: The study included two hundred sixty-one patients. …”
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The association between cystatin C and hypertension risk in diabetes patients: A multi-cohort cross-sectional study by Ye Kuang, Jia Wang, Yang Wang, Chuanmei Peng, Pei He, Yong Ji, Jinrong Tian, Yong Yuan, Lei Feng

“…Summary: Diabetes mellitus with hypertension (DM + HTN) markedly elevates cardiovascular risks, yet its predictors remain unclear. Analyzing 5210 DM patients from three cohorts, this study identified serum cystatin C (CysC) as an independent risk factor for DM + HTN through univariate and multivariate logistic regression. …”
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