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Prevalence and patterns of premenstrual disorders and possible association with sexual harassment: a cross-sectional study of young Arab women.

Yossef Hassan AbdelQadirAhmed AssarYomna Ali AbdelghafarManar Ahmed KamalMohamed Sayed ZaazoueeSarah Makram ElsayedKhaled Mohamed RagabAyman Essa NabhanNahla Ahmed Gamaleldinnull null
Published in: BMC women's health (2022)
The study showed high levels of both PMS and PMDD. The data provided by this study also sheds light on a potential link between SH and developing Pre-menstrual disorders.
Keyphrases
  • risk factors
  • mental health
  • type diabetes
  • pregnant women
  • risk assessment
  • polycystic ovary syndrome
  • machine learning
  • big data
  • deep learning
  • insulin resistance
  • pregnancy outcomes
  • cervical cancer screening