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Identification of high-risk symptom cluster burden group among midlife peri-menopausal and post-menopausal women with metabolic syndrome using latent class growth analysis.

Se Hee MinSharron L DochertyEun-Ok ImXiao HuDaniel HatchQing Yang
Published in: Women's health (London, England) (2023)
An understanding and appreciation for the different symptom cluster trajectory subgroups and their dynamic nature will assist clinicians to offer targeted and routine symptom cluster assessment and management in clinical settings.
Keyphrases
  • metabolic syndrome
  • patient reported
  • type diabetes
  • uric acid
  • cardiovascular disease