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Director of Studies: Dr Theocharis Ispoglou
Supervisor: Professor Lauren Owen
While extensive research has focused on the general effects of nutrition and exercise on health, less attention has been given to specific life stages such as the peri-menopausal period. This transition is characterised by significant declines in cognitive function, musculoskeletal health, and cardiometabolic health due to hormonal changes. Current interventions often overlook the unique needs of peri-menopausal women, despite the critical impact of nutritional and exercise strategies on health.
Plants in our diet beneficial to our health phytonutrients. Blackcurrants are rich in phytonutrients, particularly polyphenolic flavonoids such as anthocyanins, which have been shown to facilitate cognitive function and mood in healthy adults as well as blood biomarkers of health status in menopausal women. Resistance exercise, crucial for managing peri-menopausal health, and when combined with optimal protein and energy intake, it can synergistically enhance musculoskeletal health.
The role of Ārepa drink supplementation, enriched with neuroprotective anthocyanins and L-Theanine, combined with resistance exercise, has not been extensively studied in this demographic. This project aims to fill this gap by exploring how Ārepa supplementation and structured resistance exercise can improve cognitive, musculoskeletal, and cardiometabolic health in peri-menopausal women, providing a holistic approach to managing the complex health challenges during this life stage.
Applicants are encouraged to discuss their proposals with Dr Theocharis Ispoglou and Professor Lauren Owen
Application Reference Number: 2024-Oct-AREPA/CSS-PHD
Start Date: 01 October 2024
Mode of Study: Full-Time (3yrs)
Number of Opportunities Available: 1
Interviews to take place from: 25 July 2024 to 26 July 2024
Further information and an application form can be found here
A laptop will be provided
Type of Funding Available: Home (UK) Fees and Stipend
Stipend Value: £19,237
Stipends are tax-free and paid pro-rata in monthly payments
Research output data provided by the Research Excellence Framework (REF)
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