Twenty-four Hour Movement Behaviors and Atherosclerotic Risk (PASSARO)

Rheumatoid arthritis (RA) is a chronic autoimmune inflammatory disease associated with a substantially increased risk of cardiovascular disease. This increased risk is only partially explained by traditional cardiovascular risk factors and is also influenced by persistent systemic inflammation, immune dysregulation, disease activity, functional impairment, and long-term pharmacological treatment. Consequently, identifying modifiable factors that contribute to cardiovascular health has become an important priority in the management of RA.

The physical activity, sedentary behavior, and sleep are recently recognized as interdependent components of the 24-hour movement behavior pattern, due to share the finite 24 hours available each day, so that spending more time in one behavior necessarily means spending less time in another. This perspective has led to analytical approaches that evaluate the composition of daily movement behaviors rather than considering each behavior separately. Although this framework has been widely investigated in the general population, longitudinal evidence in adults with rheumatoid arthritis remains limited.

This prospective cohort study was designed to investigate both cross-sectional and longitudinal associations between 24-hour movement behaviors and indicators of atherosclerotic risk over a 12-month follow-up period. Participants will undergo to evaluations at baseline and after 12 months, allowing to investigate about how the changes in movement behaviors relate to changes in vascular health over time.

Movement behaviors will be assessed objectively using triaxial accelerometers by providing objective information on physical activity, sedentary behavior, and sleep. Questionnaires will complement these measurements by capturing participants information about the health, disease and lifestyle characteristics. Cardiovascular evaluation will integrate complementary structural and functional measures of vascular health to provide a comprehensive assessment of atherosclerotic risk. Additional assessments will include blood biomarkers, body composition, physical fitness, disease-related characteristics, medication use, and traditional cardiovascular risk factors. These measures will provide a comprehensive characterization of the study population and will be considered when investigating the relationship between movement behaviors and cardiovascular health.

The analytical strategy will combine traditional multivariable regression models with compositional data analysis and time-reallocation models, that will account for the interdependent nature of physical activity, sedentary behavior, and sleep and how are associated with cardiovascular health.

This study is expected to provide one of the first prospective evaluations of the relationship between 24-hour movement behaviors and atherosclerotic risk in adults with rheumatoid arthritis. By integrating objective movement behavior assessment with comprehensive cardiovascular phenotyping, the findings may contribute to future lifestyle recommendations and strategies to improve cardiovascular risk management in this population.