The purpose of this study was to test the association of two dimensions of self-awareness with hot flash (HF) severity.
A subset of women from the Seattle Midlife Women's Health Study (N = 232) provided data for these analyses. Structural equation modeling was used to evaluate two dimensions of self-awareness (Internal States Awareness [ISA] and Self-Reflectiveness [SR]), and secondary factors of perceived stress, anxiety, and attitudes toward menopause as continuous with earlier life, health perceptions, and menopausal stage with respect to HF severity. The measurement and structural models were tested with a maximum likelihood missing values estimator and displayed good model fit.
Women with greater ISA reported greater HF severity (β = 0.17, P < 0.05). In addition, women in later menopausal transition stages reported greater HF severity and those with attitudes of continuity toward menopause reported less severe HFs (β = 0.20, P < 0.01, β = −0.30, P < 0.001, respectively). SR was not related to HF severity. Women with higher levels of SR reported greater perceived stress levels (β = .51, P < 0.001), and those with greater perceived stress reported greater anxiety levels (β = 0.63, P < 0.001) and attitudes of continuity toward menopause as less continuous with earlier life (β = −0.30, P < 0.001).
ISA (balanced self-awareness) was associated with greater HF severity, suggesting that enhanced balanced self-awareness may promote women's ability to evaluate their symptom experience. A multidimensional construct of self-awareness, perceived stress, anxiety, and attitude toward menopause are all plausible targets for future intervention studies of symptom management.
1College of Nursing, University of Utah, Salt Lake City, UT
2School of Nursing, University of Washington, Seattle, WA
3Department of Sociology, University of Washington, Seattle, WA.
Address correspondence to: Lisa Jean Taylor-Swanson, PhD, MAcOM, College of Nursing, University of Utah, 10 South 2000 East, Salt Lake City, UT 84112. E-mail: firstname.lastname@example.org
Received 25 March, 2018
Revised 18 October, 2018
Accepted 18 October, 2018
Funding/Support: This work was supported in part by NIH National Library of Medicine (NLM) Training Program in Biomedical and Health Informatics at the University of Washington, Grant Nr. T15LM007442. Also supported by Robert G. & Jean A. Reid Endowed Predoctoral Fellowship and McLaws Dissertation Scholarship, School of Nursing, University of Washington.
Financial disclosure/conflicts of interest: None reported.
Portions of this work were presented and published in thesis form in fulfillment of the requirements for the PhD for Lisa Taylor-Swanson from University of Washington.