Abstract
Objective: The aim of the study was to establish whether a mother’s polycystic ovary syndrome (PCOS) symptoms can predict her daughter’s future PCOS clinical profile. Methods: This was a cross-sectional study of 57 adolescents who attended a paediatric gynaecology clinic between 2017 and 2019 and had an established diagnosis of PCOS according to the 2018 criteria of the European Society of Human Reproduction and Embryology. A clinical examination and pelvic ultrasound were performed and the level of total testosterone was measured. A structured questionnaire concerning PCOS symptoms was completed by the girls’ mothers. Results: It was found that 51% of girls with PCOS and 44% of their mothers had an elevated body mass index (BMI), and 35% of girls had an increased waist–hip ratio (>0.85). The mother’s BMI significantly predicted her daughter’s BMI and waist–hip ratio. It was reported that 40% of mothers had experienced menstrual irregularities, 50% hirsutism and 67% acne, and 12% had a confirmed diagnosis of PCOS. Conclusion: Our study population had several markers of poor metabolic health (increased BMI and waist–hip ratio) that were passed down from mother to daughter. No direct link was found between a mother’s PCOS symptoms and those of her adolescent daughter. In order to establish definitive links between the symptoms of a mother and those of her daughter, a more comprehensive study should be conducted using a larger study sample. Additionally, a follow-up assessment of our studied adolescents would be appropriate to evaluate the progress of their symptoms.
| Original language | English |
|---|---|
| Pages (from-to) | 17-22 |
| Number of pages | 6 |
| Journal | European Journal of Contraception and Reproductive Health Care |
| Volume | 26 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2021 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords*
- Adolescents
- mother–daughter correlation
- polycystic ovary syndrome
Field of Science*
- 3.2 Clinical medicine
- 3.1 Basic medicine
Publication Type*
- 1.1. Scientific article indexed in Web of Science and/or Scopus database
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