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This study aimed to investigate the non-linear evolution of position-specific physical and technical performance indicators across different tactical formations in the Chinese Super League (CSL) from the 2015 to the 2021 seasons. Match data were collected from 800 games played in six common formations (3-5-2, 4-3-3, 4-2-3-1, 4-4-2, 3-4-3, and 4-1-4-1). Players were classified into five positions: central defenders (CD; match observations = 2,219), fullbacks (FB; match observations = 2,060), central midfielders (CM; match observations = 2,786), wide midfielders (WM; match observations = 1,587), and forwards (FW; match observations = 1,680). Generalized additive models (GAMs) were constructed to analyze the nonlinear evolution trends in position-specific physical and technical performance across seasons and formations. The results showed that the total distance covered by CDs in the 3-5-2 formation showed a non-linear upward trend from the 2015 to 2021 seasons (R2 = 0.3, p = 0.006); FBs in the 3-4-3, 4-1-4-1, and 3-5-2 formations exhibited non-linear upward trends in number of sprints and sprint distance from the 2015 to 2021 seasons (R2 = 0.189-0.448; P < 0.03, respectively); the high-speed running of FWs in the 4-2-3-1 formation displayed a non-linear decline trend from the 2015 to 2021 seasons (R2 = 0.477; P < 0.001); CMs in the 4-2-3-1 formation demonstrated a non-linear increasing trend in the ball retention percentage (R2 = 0.369; p = 0.001); WMs in the 4-4-2 formation showed a non-linear decreasing trend in ball retention percentage and passes from the 2015 to 2021 seasons (R2 = 0.259-0.29; P = 0.006, respectively). These findings revealed non-linear evolutionary trends in physical and technical performances across positions and formations, providing an in-depth understanding of the changing match demands placed on players during matches. This enables the optimization of training and tactics by developing targeted strategies tailored to meet the specific requirements of different formations and playing positions.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11280146 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0307843 | PLOS |
J Neurooncol
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Department of Radiation Oncology, Massachusetts General Hospital, Boston, USA.
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J Clin Endocrinol Metab
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Department of Pediatrics and Developmental Biology, Institute of Science Tokyo School of Medicine, Bunkyo-ku, Tokyo, 113-8510, Japan.
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Medicine (Baltimore)
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Methodist Digestive Institute, Methodist Dallas Medical Center, Dallas, TX.
Rapidly identifying acute pancreatitis (AP) patients at higher risk of developing severe AP (SAP) can help clinicians better direct medical treatment and management. Therefore, we examined clinical parameters and laboratory markers in patients with different etiologies and severities of AP. Demographic, clinical characteristics, and laboratory data were collected from electronic medical records of adult patients with AP and admitted to 1 healthcare system between 2015 and 2021.
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November 2025
School of Public Health, Hebei Medical University, Shijiazhuang, China. Electronic address:
Salmonella spp. is one of the leading causes of bacterial foodborne illnesses in China, with animal-origin foods serving as the key transmission vectors. In this study, we analyzed the spatiotemporal prevalence and serotype distribution of Salmonella spp.
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