WANTED BY UNIVERSITY Breath test could help predict risk of old age frailty

FOR A STUDY

RESEARCHERS are hoping to develop a breath test to predict when health and physical function is at risk of declining in older people.

The team will take measurements of participants aged 18 to 90 and ask them to breathe into a mouthpiece, as well as the collection of blood, saliva and urine samples.

Researchers from Loughborough University’s School of Sport, Exercise and Health Sciences and School of Mechanical, Electrical and Manufacturing Engineering will look for signs of frailty – where multiple bodily systems decline in older people.

Frailty poses significant health risks, making people more susceptible to illness and injury.

Lead researcher Professor Alexandra Stolzing said: “We believe that analysing breath samples could hold the key to unlocking valuable insights into the ageing process and identifying individuals at risk of frailty.

“By exploring potential biomarkers present in breath, alongside other biological samples and lifestyle factors, we aim to develop predictive models that can inform personalised interventions and promote healthy ageing.”

Dr Katherine Brooke-Wavell, senior lecturer in human biology, said: “We know many older people have resilience to illness and injury and that early prediction of frailty or resilience is paramount for implementing targeted interventions and improving health outcomes.

“By leveraging cutting-edge technology, Loughborough University is at the forefront of research aiming to develop a non-invasive, accessible method for predicting frailty and ageing rates.

“Most importantly, this research project could help us predict when older people need more intensive support to stay healthy.”

The study is now recruiting participants. Dr Brooke-Wavell said: “We hope that taking part in the research will be an interesting and enjoyable experience.”

Additionally, participants will undergo some other health-related measurements and complete questionnaires about lifestyle, medical history and physical function.

“Those aged 65 and above will be asked to return to the university for measurements to be repeated once or twice over the next year.

For more information about participating, email Usiju Shaldas or visit the web address below:

We aim to develop predictive models that can inform personalised interventions

Prof Alexandra Stolzing