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. Author manuscript; available in PMC: 2012 Dec 1.
Published in final edited form as: Menopause. 2011 Dec;18(12):1270–1277. doi: 10.1097/gme.0b013e3182230e42

Table 2.

Multivariate association between negative mood and VMS within a 24 hour period

Daily VMS
OR (95% CI) p-value
Negative mood 1.72 (1.39–2.13) <.001
Age 1.15 (1.04–1.28) .01
Education
College+ Referent
Some college 1.57 (.84–2.92) .16
High school or less 1.60 (.80–3.21) .19
Health
Excellent Referent
Very Good .76 (.35–1.68) .50
Good 1.27 (.56–2.90) .57
Fair/poor 3.70 (1.21–11.35) .02
Race/ethnicity
White Referent
Black .86 (.40–1.83) .69
Chinese .26 (.13–.54) <.01
Hispanic .48 (.14–1.68) .25
Japanese .52 (.25–1.05) .07
Menopausal status
Premenopausal Referent
Perimenopausal 3.09 (1.50–6.38) <.01
Postmenopausal 5.17 (1.01–26.39) .05

Abbreviations: Vasomotor symptoms (VMS)

All daily-level predictors and woman-level covariates simultaneously entered into hierarchical generalized linear models with VMS as a dichotomous outcome with a Bernoulli distribution.

Age has been grand-centered; all other variables entered uncentered.