Association Between Metabolic Syndrome Components, Clinical Characteristics, and Telomere Length: Factor Analysis of Mixed Data Based Cluster Analysis of LIPIDOGEN2015 Cross-Sectional Study

Tadeusz Osadnik; Maciej Banach; Anna Goc; Ewa Boniewska‐Bernacka; Anna Pańczyszyn; Marcin Goławski; Martyna Fronczek; Joanna Katarzyna Strzelczyk; Mateusz Lejawa; Marek Gierlotka; Kamila Osadnik; Nikodem Baron; Karol Krystek; Agnieszka Gach; Tomasz Czapor; Natalia Pawlas; Francesco Paneni; Jacek Jerzy Jozwiak

doi:10.1007/s40292-025-00753-6

Abstract

The pattern of clinical characteristics marked by classical cardiovascular risk factors including components of MetS, is inversely related to telomere length, underlining the potential role of metabolic disturbances in cellular aging.

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Year: 2025
Type: article
Citations: 0
Access: Closed

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APA Style

                            
                                    Tadeusz Osadnik, 
                                
                                    Maciej Banach, 
                                
                                    Anna Goc
                                
                                et al.
                            
                            (2025). 
                            Association Between Metabolic Syndrome Components, Clinical Characteristics, and Telomere Length: Factor Analysis of Mixed Data Based Cluster Analysis of LIPIDOGEN2015 Cross-Sectional Study. 
                            High Blood Pressure & Cardiovascular Prevention
                            
                            .
                            https://doi.org/10.1007/s40292-025-00753-6

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DOI: 10.1007/s40292-025-00753-6