Menopause Symptoms' Predictors: The Influence of Lifestyle, Health- and Menopause-Related, and Sociodemographic Characteristics

Filipa Pimenta, Isabel Leal, João Maroco, Catarina Ramos

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

Abstract

This research explores a causal model of menopausal symptoms in peri- and postmenopausal women. A community sample of 710 women was assessed regarding menopausal symptoms, and sociodemographic, health- and menopause-related, and lifestyle characteristics. Structural equation modelling was used. Menopausal status predicted skin/facial hair changes (β =.156; p <.001), vasomotor (β =.122; p <.001) and sexual symptoms (β =.158; p <.001). Age was significantly associated with cognitive impairment (β =.087; p =.003), aches/pain (β =.072; p =.006), urinary (β =.115; p =.004) and also sexual symptoms (β =.107; p =.021). Several menopausal symptoms are predicted, not only by menopausal status, but also by age progression, among other variables; this should be considered in the context of a well-adapted menopausal transition.

Original languageEnglish
Pages (from-to)140-151
Number of pages12
JournalJournal of Women and Aging
Volume24
Issue number2
DOIs
Publication statusPublished - Apr 2012
Externally publishedYes

Keywords

  • health status
  • lifestyle
  • menopausal symptoms
  • predictors
  • structural equation modelling

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