Last updated:
ID:
6326
Start date:
1 August 2014
Project status:
Closed
Principal investigator:
Dr Abigail Fraser
Lead institution:
University of Bristol, Great Britain

The overall aim is to study female reproductive health across the lifecourse and in relation to chronic disease. More specifically:
1. To examine how different reproductive indicators (e.g. age at periods starting and stopping, parity, HRT use) are related to each other.
2. To study the separate and joint associations of female reproductive health indicators with major chronic diseases.
3. To assess whether information on reproductive health improves the performance of disease prediction risk scores for CVD, diabetes, cancer, osteoporosis and Alzheimer’s disease.
We will also consider: cognitive, respiratory and mental health, physical capability. Here we propose to use Biobank to improve our understanding of the role of female reproductive health in disease aetiology and in risk and prognosis prediction. This research has the potential to inform prevention strategies by establishing whether women at increased risk of ill health in later life can be better identified using readily available and easily recalled information on indicators of reproductive health. Our plan is to look at how women?s reproductive health is related to health and disease. We will examine how different reproductive indicators (e.g. age at periods starting and stopping, number of pregnancies) are related to each other; study their separate and combined associations with major health outcomes; assess whether information on female reproductive health aids in disease prediction. We will use data on a range of reproductive health indicators and on heart disease, diabetes, physical capability, bone, respiratory, cognitive and mental health from the baseline examination, and linked hospital, general practitioner and cancer and death registry data. Full cohort. Although this application is concerned with female reproductive health, we request relevant data on men as well. This is to enable comparisons to be made so that mechanisms can be identified and to increase our ability to make causal inferences. See Aim 4 below.

Related publications

Author(s)
Maria C. Magnus, Stamatina Iliodromiti, Debbie A. Lawlor, Janet M. Catov, Scott M. Nelson, Abigail Fraser
Journal
Epidemiology
  • heart and blood vessels
Author(s)
Rosalind Tang, Abigail Fraser, Maria Christine Magnus
Journal
BMJ Open
  • cancer and other tissue growths
  • lungs
Author(s)
Rebecca B. Lawn, Hannah M. Sallis, Amy E. Taylor, Robyn E. Wootton, George Davey Smith, Neil M. Davies, Gibran Hemani, Abigail Fraser, Ian S.…
Journal
Royal Society Open Science
Author(s)
Claire Prince, Laura D. Howe, Gemma C. Sharp, Abigail Fraser, Rebecca C. Richmond
Journal
BMC Medicine
  • nutrition and metabolism
Author(s)
Claire Prince, Gemma C. Sharp, Laura D. Howe, Abigail Fraser, Rebecca C. Richmond
Journal
BMC Medicine
Author(s)
Maria C Magnus, John Henderson, Kate Tilling, Laura D Howe, Abigail Fraser
Journal
International Journal of Epidemiology
  • lungs
  • reproductive and urinary health
Author(s)
Rebecca B. Lawn, Hannah M. Sallis, Robyn E. Wootton, Amy E. Taylor, Perline Demange, Abigail Fraser, Ian S. Penton-Voak, Marcus R. Munafò
Journal
PLOS ONE

All publications