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Orientador(es)
Resumo(s)
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
Descrição
Palavras-chave
Menopausal symptoms Predictors Structural equation modelling Health status Lifestyle
Contexto Educativo
Citação
Journal of Women & Aging, 24, 140-151
