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PhD Studentship: “You must be on your period”: Using Smartphones and Wearables to Study Changes in Mental Wellbeing throughout the Menstrual Cycle. MRC GW4 BioMed DTP PhD Studentship 2024/25 Entry, PhD in Psychology

University of Exeter - HLS

Qualification Type: PhD
Location: Exeter
Funding for: UK Students, EU Students, International Students
Funding amount: From £18,662 annual stipend
Hours: Full Time, Part Time
Placed On: 5th September 2023
Closes: 1st November 2023
Reference: 4853

Project title: 

“You must be on your period”: using smartphones and wearables to study changes in mental wellbeing throughout the menstrual cycle. MRC GW4 BioMed DTP PhD studentship 2024/25 Entry, PhD in Psychology. 

The GW4 BioMed2 MRC DTP is offering up to 22 funded studentships across a range of biomedical disciplines, with a start date of October 2024.

These four-year studentships provide funding for fees and stipend at the rate set by the UK Research Councils, as well as other research training and support costs, and are available to UK and International students.

About the GW4 BioMed2 Doctoral Training Partnership

The partnership brings together the Universities of Bath, Bristol, Cardiff (lead) and Exeter to develop the next generation of biomedical researchers. Students will have access to the combined research strengths, training expertise and resources of the four research-intensive universities, with opportunities to participate in interdisciplinary and 'team science'. The DTP already has over 90 studentships over 6 cohorts in its first phase, along with 38 students over 2 cohorts in its second phase.

The 80 projects available for application, are aligned to the following themes;

Applications open on 4nd September 2023 and close at 5.00pm on 1st November 2023.

Studentships will be 4 years full time. Part time study is also available.

Project Information  

Research Theme: Neuroscience & Mental Health

Summary:

The menstrual cycle can influence mental wellbeing for a variety of biological and psychosocial reasons, but high-quality data are lacking. This is an exciting opportunity to co-produce and trial a cutting-edge smart technology method to collect real-time data on menstrual experiences. You will advance our understanding of the important intersection of the menstrual cycle and mental health and develop skills highly valued in academia and the FemTech industry.

Description:

Background: The menstrual cycle and menstrual experiences can substantially impact an individual’s mental health and wellbeing. Perhaps the most well-known example is premenstrual syndrome (PMS), a set of symptoms that occur in the luteal phase, including anxiety, low mood, and irritability, with a severe form being Premenstrual Dysphoric Disorder (PMDD). However, menstruation can influence mental wellbeing in other ways and at different cycle stages, e.g. through physical discomfort, changes to behaviours, and social effects arising from stigma.

There are many unaddressed or unanswered questions about the association between the menstrual cycle and mental health, for example: What biopsychosocial mechanisms increase risk of low mood and mental distress during certain stages of the menstrual cycle? And why do some individuals show large variability in their mental wellbeing within or between cycles?

Previous studies have been hampered by a lack of high quality real-time data on mental health and menstrual symptoms throughout the menstrual cycle. However, smartphone apps and wearable devices like fitness trackers make it possible to collect quality, prospective, real-time data on physical and emotional states. Ecological Momentary Assessment (EMA) is a cutting- edge method that involves collecting frequent data on experiences close in time to the experience itself, either actively (e.g. self-report of mood via a smartphone app) or passively (e.g. wearable sensors measuring physiological features including heart rate, temperature, activity and sleep). Innovative statistical models are needed to integrate and analyse these complex data to help researchers better understand menstrual cycle-related fluctuations in mental wellbeing.

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