Causal association study of the dynamic development of the metabolic syndrome based on longitudinal data

• Published in: Scientific reports Vol. 14; no. 1; pp. 5448 - 11
• Main Authors: Razbek, Jaina, Bao, Liangliang, Zhang, Yan, Daken, Mayisha, Cao, Mingqin
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 05.03.2024; Nature Publishing Group; Nature Portfolio
• Subjects: 692/163; 692/499; Bayes Theorem; Bayesian analysis; Body mass index; Body weight; Gender; Glycated Hemoglobin; Hemoglobin; Humanities and Social Sciences; Humans; Hyperuricemia; Hyperuricemia - complications; Hyperuricemia - epidemiology; Longitudinal Studies; Metabolic disorders; Metabolic syndrome; Metabolic Syndrome - epidemiology; multidisciplinary; Obesity; Overweight; Science; Science (multidisciplinary)

The dynamic progression of metabolic syndrome (MetS) includes developmental deterioration and reverse recovery; however, the key factors in this bidirectional progression have not been identified. Our study aimed to use the data obtained from the China Health and Retirement Longitudinal Study (CHARL...