4.3 Article

MsFLASH participants' priorities for alleviating menopausal symptoms

Journal

CLIMACTERIC
Volume 18, Issue 6, Pages 859-866

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.3109/13697137.2015.1083003

Keywords

MENOPAUSE; SYMPTOMS; VASOMOTOR SYMPTOMS; SLEEP DISTURBANCES; FATIGUE; COGNITIVE FUNCTIONING

Funding

  1. National Institutes of Health
  2. Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
  3. National Center for Complementary and Alternative Medicine (NCCAM)
  4. Office of Research on Women's Health (ORWH)
  5. NIA [U01 AG032656, U01AG032659, U01AG032669, U01AG032682, U01AG032699, U01AG032700]
  6. Indiana Clinical and Translational Sciences Institute from the NIH, National Center for Research Resources, Clinical and Translational Sciences Award [UL1RR02571]

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Objective To describe self-reported menopausal symptom priorities and their association with demographics and other symptoms among participants in an intervention trial for vasomotor symptoms (VMS).Methods Cross-sectional study embedded in the MsFLASH 02 trial, a three-by-two factorial design of yoga vs. exercise vs. usual activity and omega-3-fatty acid vs. placebo. At baseline, women (n=354) completed hot flush diaries, a card sort task to prioritize symptoms they would most like to alleviate, and standardized questionnaires.Results The most common symptom priorities were: VMS (n=322), sleep (n=191), concentration (n=140), and fatigue (n=116). In multivariate models, women who chose VMS as their top priority symptom (n=210) reported significantly greater VMS severity (p=0.004) and never smoking (p=0.012), and women who chose sleep as their top priority symptom (n=100) were more educated (p0.001) and had worse sleep quality (p<0.001). ROC curves identified sleep scale scores that were highly predictive of ranking sleep as a top priority symptom.Conclusions Among women entering an intervention trial for VMS and with relatively low prevalence of depression and anxiety, VMS was the priority symptom for treatment. A card sort may be a valid tool for quickly assessing symptom priorities in clinical practice and research.

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