Lucimere Bohn

Lucimere Bohn is a Researcher at Lusófona University with a secondary affiliation at the Research Centre for Physical Activity, Health and Leisure (CIAFEL-ITR) at the University of Porto. She holds a PhD in Physical Activity and Health and maintains an active research profile with over 60 peer-reviewed publications.

Her educational background includes:

• Licenciatura in Sports and Physical Education
• Master's in Physical Activity for the Elderly
• PhD in Physical Activity and Health

Dr. Bohn's research centers on physical activity and health in aging populations, with specific expertise in movement behaviors' impact on cardiovascular health, sarcopenia, cognitive function, and sleep quality. Her work frequently employs large-scale epidemiological methods and focuses on practical interventions for elderly populations, particularly examining arterial stiffness, fall prevention mechanisms, and mental health correlates.

Recent publications reveal a pronounced emphasis on pandemic-related health impacts, including social distancing effects on mental health and sleep behavior modifications. Her work spans clinical studies on postmenopausal women, HIV patients, and community-dwelling elderly, with notable contributions to school-based physical activity promotion frameworks through the 2PASS 4Health Project.

She has received four major awards recognizing her contributions to gerontological research and physical activity science.

Dr. Bohn actively supervises Master's and PhD students, including FCT-funded researchers, and participates in numerous national and international projects. Her grant portfolio includes COST Actions facilitating European-wide collaboration on aging research and multiple Portuguese national studies examining physical activity interventions.

She leads research teams within the Laboratory for Integrative and Translational Research in Health Population (ITR) at CIAFEL, focusing on developing practical assessment tools like portable sarcopenia screening systems and validating anthropometric prediction models for clinical use.