Association Between Healthful Plant-Based Dietary Pattern and Adiposity Measures Trajectories and Future Metabolic Diseases Risk: A Prospective Cohort Study.

ABSTRACT: The dynamic and heterogeneous process of obesity measurement can be better assessed by change trajectories. Utilizing multiple metrics to assess obesity could provide more comprehensive insights. Currently, the associations of adiposity measures trajectories with metabolic diseases and plant-based dietary patterns remain unclear. Using latent class mixed modeling approach, we identified body mass index (BMI), waist-to-hip ratio (WHR) and fat mass index (FMI) trajectory groups based on measures acquired at four time points. We examined associations between adiposity measures trajectories and plant-based dietary patterns, using logistic regression. Cox proportional hazards regression models were applied to investigate the association between adiposity measures trajectories and metabolic dise

SUBMITTER: Zhao C 

PROVIDER: S-EPMC12358011 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature