Laura Joensuu

Laura Joensuu

Postdoctoral Researcher
Unit
Faculty of Sport and Health Sciences
Room number
VIV 152
Email
laura.p.joensuu@jyu.fi
Mobile
+358504363466
Postal address
Rautpohjankatu 8a
Fields of science
3141 Health care science

Research interests

Throughout my scientific career, I have explored associations between physical activity, fitness, and health across the life course in different demographic groups and from various perspectives. I have aimed special focus on providing high-quality and relevant information to inform public health policy and health promotion programmes.

Publications

More publications from this author

Research groups

Research group

GenActive – Elina Sillanpää's research group

We investigate genetic and lifestyle factors that predict biological aging, health, and functional capacity.

Projects

Henkilöt pyöräilevät puistossa
Project

Genetic and biological drivers of physical activity and exercise participation (GEDROPA)

Genetic background, biological mechanisms and commitment to physical activity and lifestyle interventions in different age groups
Project

Causal impact of sedentary lifestyle and poor physical fitness of the population on healthcare costs (SED-COST)

SED-COST study investigates causality between physical activity, physical fitness and health care costs.
Project

Polygenic Risk Scores, Physical Activity and Causality in Cardiometabolic Diseases (GenActive)

The GenActive study investigates causal relationships between genetic predisposition, physical activity, and cardiometabolic diseases.
Project

The role of nutrition in the prevention of common diseases

This study examines the association between nutrition habits during adolescence and adulthood with biological aging and the incidence of common diseases.
Genesis-logo
Project

Genetic and Environmental Exploration of Heterogeneity and Causality in Obesity-Physical Activity Associations (GENESIS)

The GENESIS – project investigates the complex interplay of environment, genes and lifestyle on obesity and obesity-related adverse health outcomes. By applying multiomic methods on epidemiological data, it sets the focus of a population-wide phenomenon t