Using longitudinal profiles to characterize women's symptoms through midlife: Results from a large prospective study

Mishra, Gita D. and Dobson, Annette J. (2012) Using longitudinal profiles to characterize women's symptoms through midlife: Results from a large prospective study. Menopause-The Journal of the North American Menopause Society, 19 5: 549-555. doi:10.1097/gme.0b013e3182358d7c

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Author Mishra, Gita D.
Dobson, Annette J.
Title Using longitudinal profiles to characterize women's symptoms through midlife: Results from a large prospective study
Journal name Menopause-The Journal of the North American Menopause Society   Check publisher's open access policy
ISSN 1072-3714
1530-0374
Publication date 2012-05
Sub-type Article (original research)
DOI 10.1097/gme.0b013e3182358d7c
Volume 19
Issue 5
Start page 549
End page 555
Total pages 7
Place of publication Philadelphia, PA, United States
Publisher Lippincott Williams & Wilkins
Collection year 2013
Language eng
Formatted abstract Objective: The aims of this study were to identify groups of symptoms experienced by women during midlife and to determine the main profiles or trajectories for each of these symptom groups through the menopausal transition.
Methods: The study uses data from the middle-aged cohort of women from a large community-based longitudinal study. Groups or patterns of symptoms are determined using factor analysis. Latent class analysis based on age and age at menopause is used to identify profiles for each of the symptom patterns.
Results: Of the four symptom patterns identified, “somatic,” “urogynecological,” and “physical” symptoms have a constant profile through midlife. Vasomotor symptoms vary through menopause: 11% of women have the “early severe” profile of symptoms that begin at premenopause, whereas 29% have the “late severe” profile, with symptoms peaking during postmenopause and persisting more than a decade after menopause. The remaining women with the “moderate” or “mild” profiles report occasional symptoms that tend to peak around menopause.
Conclusions: Identifying the profile of vasomotor symptoms could help health professionals to tailor their advice to women going through menopause.
Keyword Vasomotor symptoms
Age at menopause
Health symptoms
Longitudinal profiles
Latent class analysis
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2013 Collection
School of Population Health Publications
 
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