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Mary Schooling joined the School of Public Health at HKU in 2002 as a part-time teaching assistant after obtaining a PhD in Epidemiology from University College London (UK) following a career in IT and Operations Research starting at IBM. Mary Schooling is also a Professor at Hunter College, City University of New York School of Public Health. She is an Editorial Board member of the journal PLoS ONE and an Associate Editor of the Journal of Epidemiology and Community Health (BMJ Publishing Group).
Mary Schooling’s public health research interests concern non-communicable diseases, specifically 1) using an evolutionary biology approach to generate etiological insights, 2) using the unique attributes of Southern China to explicate the role of key modifiable exposures, such as alcohol use, diet, obesity, physical activity and breastfeeding, in non-communicable diseases and 3) exploiting discrepancies between East and West to identify novel drivers of population health. Key resources for this endeavor are cohort studies including "Children of 1997", the Elderly Health Service Cohort and the Guangzhou Biobank Cohort Study exploited using innovative methods, such as Mendelian randomization.
This research program crossing traditional boundaries of individual disciplines or fields of enquiry has yielded several translatable mechanistic insights. First, the insight that androgens drive ischemic cardiovascular disease was confirmed in a meta-analysis of randomized controlled trials which contributed to regulatory action by Health Canada, the Food and Drug Administration in the US and the European Medicines Agency and has been followed by a fall in testosterone sales. Second, the insight that statins may be more effective than other lipid modulating therapies because they reduce testosterone is under investigation. Third, reasons are being sought to reconcile the discrepancy between the predictive power of diabetes in cardiovascular disease and the lack of effect on cardiovascular disease of improving glucose metabolism.
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论文共 33 篇作者统计合作学者相似作者
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EBioMedicine (2022): 103901-103901
Research Square (2020)
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biorxiv(2019)
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