Monash University
Thesis_Sylvia3_ FINAL_afterExamination .pdf (7.58 MB)

Optimal diagnosis of polycystic ovary syndrome, natural history, and relationships between diagnostic features and long-term cardiometabolic outcomes

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posted on 2023-05-11, 02:50 authored by SYLVIA KICONCO
My research focused on improving the diagnosis of polycystic ovary syndrome (PCOS), which is a risk factor for infertility, cardiometabolic and psychological disorders in women. 70% PCOS cases go undetected due to unclear parameter values to differentiate women with PCOS from those without PCOS. I defined normal and abnormal PCOS parameter values in adolescents, and observed values that are lower than the currently used ones. I further established a PCOS dataset from across the world to re-define PCOS diagnosis. Additionally, my research demonstrated that irregular menstrual cycles may predict heart disease and diabetes over 20-years in adult women from Australia.


Principal supervisor

Anju Joham

Additional supervisor 1

Helena Teede

Additional supervisor 2

Arul Earnest

Year of Award


Department, School or Centre

Public Health and Preventive Medicine

Campus location



Doctor of Philosophy

Degree Type



Faculty of Medicine, Nursing and Health Sciences