mHealth - Multiple Lifestyle Behaviors (MoBILE)

Health

Inadequate physical activity, unhealthy diets, smoking and excessive alcohol consumption increases the risk of noncommunicable disease and premature death. The responsibility of the healthcare sector to provide support for patients in need of changing unhealthy lifestyle behaviors has been difficult to fulfill with resource intensive methods such as individual and group counseling.

Lifestyle interventions delivered through mobile phones (included in the umbrella term mHealth) is a rapidly emerging research area. The research program MoBILE aims to develop, evaluate and implement seven mHealth lifestyle interventions that can be delivered via the healthcare sector to different target groups, including pregnant women, children, young adults, and patients with elective surgery.

The MoBILE research program is a collaboration between the IMPACT and LiiR research groups at Linköping University. MoBILE is supported by Forte (2018-2020) through a special call in healthcare science.

 

 

 

Projects
Show/Hide content

Seminar series
Show/Hide content

In the autumn of 2020, we started a seminar series. 

The first, which Marcus Bendtsen, senior lecturer at LiU held, can be seen below.

Upcoming seminars:

  • thursday 5 november 2020 
    HealthyMoms trial: Promoting healthy weight gain, diet and physical activity during pregnancy
    During this seminar senior lecturer Pontus Henriksson and PhD student Johanna Sandborg will talk about the development of the HealthyMoms app and present preliminary results. Register by email to: emmie.soderstrom@liu.se no later than the 4th of November.
  • friday 4 december 2020 
    Examples of research regarding artificial intelligence as a support in decision making within healthcare
    More information will follow.

Factorial experiments with Bayesian sequential adaptive designs in digital intervention research

This seminar is the first in a series from the MoBILE research group at Linköping university. This talk is about using Bayesian methods to address methodological concerns involving the estimation of effects of interventions. The talk also discusses the use of factorial designs to open up the “black box” of behaviour interventions, and to address major concerns regarding lack of blinding in intervention trials.

Research Group
Show/Hide content

Organisation
Show/Hide content