Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Clinical and Psychosocial Factors Associated With Physical Activity Level in Adults With Marfan Syndrome

University of Oviedo · 2026
ClinicalTrials.gov · Datasets · License: Public Domain · 2026
Open Source ↗
exercisefatiguepainself-efficacy
Background. Marfan syndrome is a genetic connective tissue disorder with cardiovascular and musculoskeletal involvement. Despite clinical advances, many patients exhibit low levels of physical activity, influenced by clinical and psychosocial factors such as fear of exertion, fatigue, or pain. Physical activity behavior in this population remains insufficiently characterized. Objective. To assess the level of physical activity in adults with Marfan syndrome and to identify the main associated clinical and psychosocial factors, in order to determine predictors of low physical activity. Methods. An observational, analytical, cross-sectional study will be conducted. Adults with a diagnosis of Marfan syndrome will be included. The primary outcome will be physical activity level, assessed using the International Physical Activity Questionnaire-Short Form. The main independent variables will include kinesiophobia (Tampa Scale for Kinesiophobia), physical activity self-efficacy, perceived fatigue (Fatigue Severity Scale), musculoskeletal pain (Brief Pain Inventory-Short Form), and cardiovascular clinical factors. Potential confounders will include age, sex, body mass index, time since diagnosis, medical recommendations regarding exercise, and current pain. Descriptive analyses and a multivariable logistic regression model will be performed to identify independent predictors of low physical activity. Expected results. To characterize the level of physical activity in adults with Marfan syndrome and to identify the clinical and psychosocial factors that independently predict low physical activity in this population.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 994217
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive