Читать книгу Anti-Aging Therapeutics Volume XVI - A4M American Academy - Страница 32

Menopausal women develop multiple hormonal alterations. 74 females were included (mean age=60.23, SD=9.21). A medical evaluation was completed with hormone screening using a number of statistical analyses such as Pearson Product Moment; One way ANOVA and Regression analysis along with a Bonferroni significance correction p<.004. Of 120 correlations performed, significant hormone/domain correlations were as follows: DHEA/genitourinary (r=.30, p<.05); FSH/pulmonary (r=-.29, p<.05); pregnenolone/genitourinary (r=.40, p<.006) /immunological (r=.38, p<.008); testosterone/total endorsed symptoms (r=-0.34, p<.016); TSH/pulmonary (r=-.33, p<.03) /gynecological (r=.30, p<.05). estrone/musculoskeletal (r=-0.43, p<.012). After a Bonferroni correction (experiment-wise p<.00045) for statistical significance, no hormones remained significant. In the follow–up phase FSH/neuropsychiatric (r=.56, p<.05) and /musculoskeletal (r=.67, p<.013); DHEA/immunological (r=.64, p<.04); LH/musculoskeletal (r=.59, p<.34); free testosterone/neuropsychiatric (r=.64, p<.019), /musculoskeletal (r=.68, p<.01), and /dermatologic (r=.57, p<.04); total testosterone/immunological (r=.63, p<.028); TSH/endocrinological (r=-.62, p<.031). Factor analysis of the MQ yielded 2 factors with eigenvalues > 1.0 (high loadings: first: pulmonary, GI, cardiovascular, and immunological; second: musculoskeletal, gynecological, and the 3 neurological domains). Both factors had significant correlations: first/pregnenolone (r=.37, p<.019); second/TSH (r=.33, p<.034). An additional factor analysis of hormone level clusters showed significant correlations with various domains. This study highlights the need to test the core biological endocrine hormones associated with menopause. We are proposing a new paradigm shift whereby we replace the old nomenclature of HRT to MHRT.

Keywords: Menopause, hormones, women’s health, two-factor analysis, HRT.