Publications by authors named "L Dipietro"
Background: It is essential to understand factors influencing young adult cardiovascular health (CVH) to reduce morbidity and mortality.
Objective: Evaluate longitudinal changes in CVH among young adults in a weight management intervention.
Methods: Life's Essential 8 (LE8) metrics were calculated for young adults with overweight and obesity enrolled in a randomized controlled trial (n = 459).
Background: This is the first study to examine longitudinal associations between self-selected timing of moderate-to-vigorous physical activity (MVPA) and health outcomes in young adults over 18 months.
Methods: Young adults (N = 434, Mage = 23.9, SDage = 4.
Article Synopsis
- Preclinical studies are crucial for developing therapies for wound healing disorders, offering safety screening and insights through in vivo approaches.
- Current animal testing guidelines are inadequate due to the complexity of wound healing processes, leading to inconsistencies in study interpretation.
- The newly established Wound Reporting in Animal and Human Preclinical Studies (WRAHPS) Guidelines aim to standardize the reporting of experimental conditions in preclinical wound healing studies to improve transparency and support future clinical trials.
Wound healing in the oral mucosa is superior to that in the skin, with faster wound closure accompanied by reduced inflammation, less angiogenesis, and minimal scar formation. A well-characterized oral wound model is critical to investigating the mechanisms of oral wound closure and the efficacy of various clinical interventions. Currently, there are a few human oral wound models, although none of them are well characterized.
View Article and Find Full Text PDFOne of the key challenges in Big Data for clinical research and healthcare is how to integrate new sources of data, whose relation to disease processes are often not well understood, with multiple classical clinical measurements that have been used by clinicians for years to describe disease processes and interpret therapeutic outcomes. Without such integration, even the most promising data from emerging technologies may have limited, if any, clinical utility. This paper presents an approach to address this challenge, illustrated through an example in Parkinson's Disease (PD) management.
View Article and Find Full Text PDF