Global, regional, and national burden of ischemic stroke in older adults (≥60 years) from 1990 to 2021 and projections to 2030 by Shuting Hua, Zexian Dong, Hui Wang, Tong Liu, Tong Liu, Tong Liu

“…With the accelerating global aging population, it is crucial to analyze the trends and influencing factors of the global, regional, and national burden of ischemic stroke and forecast future trends. …”
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Physical activity as a multitarget therapy for metabolically associated fatty liver disease by E. A. Lyalyukova, I. V. Druk, E. N. Chernysheva, A. V. Lyalyukov, I. V. Prikhoda

“…In 2020, the criteria for diagnosing the disease have fundamentally changed, risk factors have been specified, which requires a revision of existing approaches to therapy. …”
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Association Between Abnormal Body Weight and Physical Fitness Levelsin Chinese Older Adults: Findings from the 5th National PhysicalFitness Surveillance in China by FAN Chaoqun, WANG Mei, FENG Qiang, WANG Jingjing, WU Dongming, SUN Zonghao, ZHU Jiarong, WU Yini

“…After adjusting for demographic factors (including age, sex, urban/rural residence, education level, pre-retirement occupation, marital status, exercise habits, smoking, sleep quality, and self-rated fitness), binary Logistic regression was used to analyze the association between physical fitness indicators and abnormal weight.ResultsA total of 39 927 older adults aged 60-79 years were included, comprising 19 777 men (49.5%) and 20 150 women (50.5%), with a mean age of 69.2±5.6 years. …”
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The global prevalence of antibiotic self-medication among the adult population: systematic review and meta-analysis by Tigist Gashaw, Tesfaye Assebe Yadeta, Fitsum Weldegebreal, Lemma Demissie, Abera Jambo, Nega Assefa

“…Educational level, gender, and age were often mentioned as predictor factors. Hence, designing interventional approaches that consider the different burdens among the target population and tackle the reasons for the practices might benefit averting antimicrobial resistance.…”
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Individual and community level determinants of unmeet pregnancy complication education among pregnant ANC visitor women in Sub-Saharan Africa: a multilevel analysis of the recent d... by Alemneh Tadesse Kassie, Alebachew Ferede Zegeye, Enyew Getaneh Mekonen, Belayneh Shetie Workneh, Mulugeta Wassie, Tadesse Tarik Tamir, Berhan Tekeba, Almaz Tefera Gonete, Tewodros Getaneh Alemu, Masresha Asmare Techane, Mohammed Seid Ali

“…A secondary data analysis was performed to examine the prevalence of UPCE and associated risk factors. A multilevel mixed-effects logistic regression model was used to analyze hierarchical data structures, accounting for individual and contextual variables. …”
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Outcomes within 100 days of hematopoietic cell transplantation in pediatric patients: insights from an intensive care unit in Colombia by Rubén E. Lasso-Palomino, Rubén E. Lasso-Palomino, Diego Medina, Diego Medina, Alexis Antonio Franco, Alexis Antonio Franco, María José Soto-Aparicio, Eliana Manzi Tarapues, Eliana Manzi Tarapues, Diana Marcela Muñoz, Edgar Salazar, Jhon López, Angela Devia, Sofía Martínez-Betancur, Jimena Sierra, Anita V. Arias, Inés Elvira Gómez, Inés Elvira Gómez

“…A Kaplan Meier survival curve was performed considering the days from HCT to death during PICU admission and a Cox regression analysis was conducted to analyze the association between PRISM III score and risk of death. …”
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Intrauterine inflammation exposure may increase the risk of late-onset sepsis in premature infants: a retrospective cohort study by Xiafang Chen, XinYu Zhang, Ru Xue, Lanlan Mi, Ye Liu, Guoqing Zhang, Jun Bu, Fei Bei

“…Levels of 12 cytokines, including interleukin-1β (IL-1β), IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12p70, IL-17, tumor necrosis factor-α (TNF-α), interferon-α (IFN-α), and IFN-γ, were measured in cord blood using multiplex bead-based flow immunoassays. …”
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Establishment and Validation of a Machine‐Learning Prediction Nomogram Based on Lymphocyte Subtyping for Intra‐Abdominal Candidiasis in Septic Patients by Jiahui Zhang, Wei Cheng, Dongkai Li, Guoyu Zhao, Xianli Lei, Na Cui

“…A machine‐learning random forest model was used to select important variables, and multivariate logistic regression was used to analyze the factors influencing IAC. …”
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Development and validation of a risk prediction model for premenopausal breast cancer in 19 cohorts by Kristen D. Brantley, Michael E. Jones, Rulla M. Tamimi, Bernard A. Rosner, Peter Kraft, Hazel B. Nichols, Katie M. O’Brien, Hans-Olov Adami, Amaia Aizpurua, Amy Berrington de González, William J. Blot, Tonje Braaten, Yu Chen, Jessica Clague DeHart, Laure Dossus, Sjoerd Elias, Renée T. Fortner, Montserrat Garcia-Closas, Inger T. Gram, Niclas Håkansson, Susan E. Hankinson, Cari M. Kitahara, Woon-Puay Koh, Martha S. Linet, Robert J. MacInnis, Giovanna Masala, Lene Mellemkjær, Roger L. Milne, David C. Muller, Hannah Lui Park, Kathryn J. Ruddy, Sven Sandin, Xiao-Ou Shu, Sandar Tin Tin, Thérèse Truong, Celine M. Vachon, Lars J. Vatten, Kala Visvanathan, Elisabete Weiderpass, Walter Willett, Alicja Wolk, Jian-Min Yuan, Wei Zheng, Dale P. Sandler, Minouk J. Schoemaker, Anthony J. Swerdlow, A. Heather Eliassen

“…Given that complete information on all risk factors was not available in all cohorts, coefficients were estimated separately in groups of cohorts with the same available covariate information, adjusted to account for the correlation between missing and non-missing variables and meta-analyzed. …”
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Association of baseline remnant cholesterol independent of LDL-cholesterol with newly diagnosed diabetes in the Chinese population by Yulu Yang, Xuehan Li, Jianwu Huang, Jiacheng Wu, Yalei Wang, Hao Chen, Zhihua Qiu, Zihua Zhou

“…Finally, the study further analyzed the interactions between LDL-c and RC. After adjusting for confounding factors, RC was significantly associated with an increased risk of diabetes (HR = 1.46, 95% confidence interval [CI] 1.36–1.57). …”
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The moderating effect of idiosyncratic risk on the market value of cash: A study of Brazilian family and non-family businesses by Marília Paranaíba Ferreira, Alex Mussoi Ribeiro, Ernesto Fernando Rodrigues Vicente

“…The empirical model is based on the model developed by Fama and French (1998) and adapted by Dittmar and Mahrt-Smith (2007) and Pinkowitz et al. (2006), and idiosyncratic risk is estimated based on the 3-factor model of Fama and French (1993). The firms were classified as family and non-family using the Reference Form, and a total of 83 firms were analyzed using multiple and quantile regressions. …”
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Prolonged grief, social contact, community belongingness: A representative study of loneliness among bereaved UK adults by James Cunningham, Eoin McElroy, Mark Shevlin

“…Notably, community belongingness emerged as the strongest protective factor (β = −0.262), significantly outweighing the effect of personal social contact (β = −0.054). …”
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Measurement of myocardial blood flow in atrial fibrillation using high-resolution, free-breathing in-line quantitative cardiovascular magnetic resonance by Richard J. Crawley, Karl-Philipp Kunze, Anmol Kaushal, Xenios Milidonis, Jack Highton, Blanca Domenech-Ximenos, Irum D. Kotadia, Can Karamanli, Nathan C.K. Wong, Robbie Murphy, Ebraham Alskaf, Radhouene Neji, Mark O’Neill, Steven E. Williams, Cian M. Scannell, Sven Plein, Amedeo Chiribiri

“…No significant difference was seen between the two groups at rest (p=0.451). When considering co-factors affecting MBF, multivariate linear regression analysis identified the presence of AF as a significant independent contributor to stress MBF and MPR values. …”
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Pesticide exposure, health impacts, predeterminism, and health insurance demand among Pakistani farmers: Implications for policy by Muhammad Arshad, Yasir Mehmood, Sreejith Aravindakshan, Ayat Ullah, Stefan Sieber, Timothy Joseph Krupnik

“…We employed a novel approach integrating count data models with contingent valuation to analyze the health impacts of pesticide use and influence of socioeconomic factors, particularly religious predeterminism and public trust, on health insurance demand among farmers in rural Pakistan. …”
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Dynamic Neutrophil-to-Lymphocyte Ratio at 3-4 weeks of Intensity-Modulated Radiotherapy Combined with Normal Liver Volume Predicts Radiation-Induced Hepatic Toxicity in Hepatocellu... by Chen L, Li J, Wang X, Chen S, Wu Y, Li J, Liang S

“…The prognostic significant factors were assessed through logistic regression analyses. …”
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Evaluating perineural invasion severity in head and neck cutaneous squamous cell carcinomas to refine prognostic accuracy: A retrospective case-control study by Filippo Nozzoli, Silvia Mancini, Andrea Ambrosini-Spaltro, Emilia Crisanti, Luca Riccioni, Giovanni De Luca, Annarita Lombardi, Fabio Falcini, Rosa Vattiato, Federica Zamagni, Lorenzo Borgognoni, Serena Sestini, Vincenzo De Giorgi, Laura Doni, Ismaela Vascotto, Angelo Cassisa, Chiara Anichini, Romina Nassini, Pierangelo Geppetti, Emanuele Crocetti, Ignazio Stanganelli, Daniela Massi

“…Prognostic correlations were then analyzed by Cox proportional hazards regression model. …”
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Association between life satisfaction and fall severity among hospitalized stroke patients by Xuhui Li, Qingfang Zhang, Jie Yan, Yulong Wang, Jianjun Long, Xing Lv, Miaoling Chen, Wensheng Chen

“…Standardized face-to-face interviews were conducted to collect data on fall experiences within the past three months, severity of fall-related injuries, life satisfaction, and other demographic and clinical characteristics. Logistic regression models were used to analyze the relationships between fall experiences, injury severity, and life satisfaction. …”
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Information management systems in the systematization of indicators for assessing the effectiveness of investment processes in the securities market by Yuliia Kovalenko, Tetyana Bilovus, Valentyna Unynets-Khodakivska, Sofiia Dombrovska, Anatolii Faizov, Viktoriia Baranova

“…The results obtained using statistical inference methods indicate a high impact of both external macroeconomic factors that inhibit the development of the securities market and internal, which in turn is reflected in the indicators of assessing the effectiveness of investment processes in the securities market.…”
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Advanced explainable models for strength evaluation of self-compacting concrete modified with supplementary glass and marble powders by Khan Kaffayatullah, Khan Muhammad Ehsan Ullah, Al-Naghi Ahmed A. Alawi, Amin Muhammad Nasir, Iftikhar Bawar, Qadir Muhammad Tahir

“…This research highlights the potential of ML not only as a predictive tool but also as a means of understanding key factors in sustainable mix design, ultimately promoting smarter and greener construction practices.…”
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Prognostic value of lipid metabolism‐related genes in head and neck squamous cell carcinoma by Ying Xiong, Yu Si, Yisi Feng, Shipei Zhuo, Bozhen Cui, Zhigang Zhang

“…A regulatory network of transcription factors‐lipid metabolism genes and a risk prognostic model of lipid metabolism‐related genes was developed using bioinformatics and Cox regression modeling. …”
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