Publications by authors named "H M van der Ploeg"

Introduction: Type 2 diabetes mellitus (T2DM) is a major burden on public health worldwide. To reduce adverse events and complications, effective T2DM self-management is required. Self-management and glycaemic control are generally poorer in lower educated people compared with higher educated people.

View Article and Find Full Text PDF

Unhealthy lifestyle behaviors such as poor diets and physical inactivity account for most of the cardiometabolic disease (CMD) burden, including type 2 diabetes and cardiovascular diseases. Much of this burden is mediated by the effects of unhealthy lifestyle behaviors on overweight and obesity, and disproportionally impacts certain population groups-including those from disadvantaged socioeconomic backgrounds. Combined lifestyle interventions (CLIs), which target multiple behaviors, have the potential to prevent CMD, but their implementation, reach and effectiveness in routine practice are often limited.

View Article and Find Full Text PDF

Background: Although the prescription of physical activity in clinical care has been advocated worldwide, in the Netherlands, "Exercise is Medicine" (E = M) is not yet routinely implemented in clinical care.

Methods: A set of implementation strategies was pilot implemented to test its feasibility for use in routine care by clinicians in 2 departments of a university medical center. An extensive learning process evaluation was performed, using structured mixed methods methodology, in accordance with the Reach, Effect, Adoption, Implementation, and Maintenance framework.

View Article and Find Full Text PDF
Article Synopsis
  • Micro-Finite Element analysis (μFEA) is commonly used in biomechanical research to predict bone properties but is resource-intensive and time-consuming.
  • A new alternative method called Firm and Floppy Boundary LEM (FFB-LEM) is introduced, using LAMMPS software to estimate trabecular bone mechanical properties quickly and accurately.
  • FFB-LEM calculations take about 15 minutes compared to 30-50 minutes for traditional FEA methods, with no significant differences in results between the two approaches for both bovine and human bone samples.
View Article and Find Full Text PDF

Background: Physical activity surveillance systems are important for public health monitoring but rely mostly on self-report measurement of physical activity. Integration of device-based measurements in such systems can improve population estimates, however this is still relatively uncommon in existing surveillance systems. This systematic review aims to create an overview of the methodology used in existing device-based national PA surveillance systems.

View Article and Find Full Text PDF