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Principal Investigator
Name
Hui Tang
Degrees
M.D
Institution
Nanchong Central Hospital,The Second Clinical College of North Sichuan Medical College
Position Title
associate chief physician, research fellow
Email
About this CDAS Project
Study
PLCO (Learn more about this study)
Project ID
PLCO-811
Initial CDAS Request Approval
Jul 22, 2021
Title
Exogenous and Endogenous Hormones factors with stroke risk in the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial
Summary
Stroke is the major cause of death and disability globally [1]. Well-known risk factors for stroke include a personal history of hypertension, diabetes and cardiac diseases, unhealthy behavioral factors (heavy cigarette consumption, less physical inactivity, poor diet), and some serious environmental risks [2, 3]. Previous studies have indicated that women’s reproductive factors are associated with the risk of cardiovascular disease [4], however, the results were mixed. To better understand the role of female hormone on stroke , we planned to assess the association between stroke risk and hormonal, menstrual and reproductive factors in PLCO study.

1. Collaborators GBDS. Global, regional, and national burden of stroke, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 2019;18:439–58.
2. Qian Y, Ye D, Huang H, Wu DJH, Zhuang Y, Jiang X, Mao Y. Coffee Consumption and Risk of Stroke: A Mendelian Randomization Study. Ann Neurol. 2020;87(4):525-532.
3. Gorelick PB. The global burden of stroke: persistent and disabling. Lancet Neurol. 2019;18:417-418.
4. Peters SA, Woodward M. Women's reproductive factors and incident cardiovascular disease in the UK Biobank. Heart. 2018;104(13):1069-1075. doi: 10.1136/heartjnl-2017-312289. Epub 2018 Jan 15. PMID: 29335253.
Aims

In our study, we aim to assess the association between stroke risk and hormonal, menstrual and reproductive factors in PLCO study. Cox regression analysis will be performed to assess the association between exogenous hormones use, age at menarche, age at menopause, type of menopause, hysterectomy, age at hysterectomy, oophorectomy, parity status, number of live births, and age at the first birth with stroke risk. If the data are available, age, body mass index, education level, smoking status, drinking status, leisure-time physical activity, energy intake, intakes of fruit and vegetables, personal history of disease, and others would be considered.

Collaborators

Chuan Shao, Nanchong Central Hospital, The Second Clinical College of North Sichuan Medical College;