Exploring personalised movement-based prescriptions for patients living with long-term conditions SSEHS/AK24


   School of Sport, Exercise and Health Sciences

This project is no longer listed on FindAPhD.com and may not be available.

Click here to search FindAPhD.com for PhD studentship opportunities
  Dr Andrew Kingsnorth, Dr Will Johnson, Dr Alex Rowlands  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

Physical activity is recommended to people living with long-term health conditions to improve health outcomes and to decrease the likelihood of developing disease complications.

Yet, providing generic numerical targets as a public health message such as 150 minutes of moderate-to-vigorous physical activity may feel unachievable based on the individual's starting point, and lacks personalisation that could be tailored to quantifiable changes in health. 

We know that people are most likely to stick to being physically active when they undertake activities that they enjoy. Demonstrating how a tailored range of activities (e.g. walking, housework or dancing) could lead to clinically meaningful differences in outcomes (e.g., blood pressure, HbA1c and weight), could provide the basis to have better conversations about behaviour change.

Our project aims to develop tailored recommendations based on clinically meaningful changes in a range of health outcomes determined using data from large-scale databases (e.g. the UK Biobank).

The project will initially look to summarise the current available evidence, and then to develop an open-source toolkit that can be used to develop personalised physical activity recommendations using data science and statistical modelling methodologies. 

Alongside the supervisory team, you will conduct research within the School of Sport, Exercise and Health Sciences, an exciting, interdisciplinary research environment, where research students work alongside expert staff with a diverse range of interests and experience.

94% of Loughborough’s research impact is rated world-leading or internationally excellent. REF 2021

Supervisors

Primary supervisor: Dr Andrew Kingsnorth

Secondary supervisors: Dr Will Johnson and Dr Alex Rowlands

Entry requirements for United Kingdom

Applicants should have, or expect to achieve, a 2:1 Honours degree (or equivalent) in a subject related to exercise science, health data science or bioinformatics or other relevant subjects. A relevant Master’s degree and/or experience is desirable.

The candidate will be expected to have expertise in quantitative research skills including coding (in R / Stata), modelling and statistical analyses.

How to apply

All applications should be made online. Under programme name, select School of Sport, Exercise and Health Sciences. Please quote the advertised reference number: SSEHS/AK24 in your application.

To avoid delays in processing your application, please ensure that you submit the minimum supporting documents.

The following selection criteria will be used by academic schools to help them make a decision on your application.

Apply now


Biological Sciences (4) Computer Science (8) Mathematics (25) Sport & Exercise Science (33)

Funding Notes

The studentship is for 3 years and provides a tax-free stipend of £18,622 per annum for the duration of the studentship plus tuition fees at the UK rate.

Where will I study?