Insomnia in menopause
Applications are open for entry in the 2021-22 academic year, and the main deadline is 12:00 noon on Friday 8 January 2021.
If you have an idea for your own project, or would like to express your interest in applying for a DPhil in Primary Care, then please contact us.
- DPhil in Primary Health Care
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Potential graduate research projects 2021/2022
- Important information
- Prevalence, safety and efficacy of deprescribing cardio-protective medications in older adults
- How people with long-term health conditions use digital health technologies
- Improving smoking cessation training for undergraduates in UK medical schools
- Developing and testing peer-led interventions to promote switching from smoking to vaping
- Interventions to encourage healthier food purchasing
- Organisation and delivery of primary care
- Feasibility of “fitness age” as a motivator for positive physical activity behaviour and improved health outcomes in UK primary care
- Progressing the role and evidence-base for ‘Exercise as Medicine’ in UK primary care settings
- Benefits and harms of statins in the UK population: doses versus effects
- Workload in primary care and quality of care
- The epidemiology of UTI and antibiotic resistant uropathogens
- Evaluating temporal patterns in diagnostic meta-analysis
- Insomnia in menopause
- Prediction modelling in big data: exploring methodological challenges and optimising approaches
- A framework for developing and implementing early phase economic modelling for diagnostic interventions
- Diabetes research utilising the Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) network and Real World Evidence (RWE) database
- Supporting the implementation of self-monitoring of blood pressure
- Scaling up the use of remote video consultations: supporting a socio-technical systems approach to implementation and evaluation
- Using Behavioural Insights to Improve Effectiveness of Digital Weight Loss Interventions
- Preventive care and children’s emergency admissions in the UK
- DPhil in Cancer Science Programme
- Interventions for healthier and sustainable diets
- The effect of dietary interventions in treating essential hypertension in primary care
- Exploring the impact of public health messaging on lifestyle behaviours during the COVID-19 pandemic
- Supporting smoking cessation in people living with serious mental illness
- Real-time benefit-risk assessment of vaccine exposure across a nationally representative primary care sentinel network: cutting edge technologies to prevent disease
Chronic insomnia or disturbed sleep is one of the more distressing symptoms of menopause, with a prevalence estimated to be in excess of 40% of women between the ages of 45 and 65 years. Untreated chronic insomnia is associated with long-term conditions including depression, cancer and cardiovascular disease. There are many approaches suggested to reduce sleep problems during menopause but there is little guidance regarding which intervention works best for which individuals. This project will investigate the risks and benefits of these approaches by conducting a systematic review and network meta-analysis of the literature and draw evidence from real world data including large GP patient record databases.
Potential research questions
- What is the prevalence of chronic insomnia in menopause observed in the UK General Practice population?
- What evidence exists for the risks and benefits of treatments such as hormone replacement therapy and antidepressants?
- What long-term risks and benefits of treatments are observed in routine electronic health record data?
- Methods will include a systematic review, network meta-analysis and causal inference epidemiology using routine electronic health records from large databases such as the CPRD or QResearch.
The Research Team
The student will work with leading statisticians and epidemiologists in the Nuffield Department of Primary Care Health Sciences.
Who should apply?
The project will suit a student with a background in medical statistics and previous experience of large databases. Candidates will be expected to hold a good undergraduate degree (or Masters) in a relevant subject (such as statistics, mathematics, evidence-based health care).