AI Article Synopsis
- - Increased sensitivity to hormone changes in women is linked to mood disorders throughout their lives, including those related to menstruation, pregnancy, and menopause.
- - A new method of synchrony analysis is proposed to measure the relationship between hormone levels and mood based on frequent assessments in perimenopausal women.
- - Initial results indicate this method could be useful for diagnosing and understanding reproductive mood disorders, potentially aiding clinical practice and research.
Article Abstract
Increased sensitivity to ovarian hormone changes is implicated in the etiology of reproductive mood disorders across the female lifespan, including menstrually-related mood disorders, perinatal mood disorders, and perimenopausal depression. Developing a method to accurately quantify sensitivity to endogenous hormone fluctuations may therefore facilitate the prediction and prevention of these mental health conditions. Here, we propose one such method applying a synchrony analysis to compute time-lagged cross-correlations between repeated assessments of endogenous hormone levels and self-reported affect. We apply this method to a dataset containing frequent repeated assessments of affective symptoms and the urinary metabolites of estradiol (E2) and progesterone (P4) in 94 perimenopausal females. These preliminary findings suggest that, with further refinement and validation, the proposed method holds promise as a diagnostic tool to be used in clinical practice and to advance research investigating the etiology of reproductive mood disorders.
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| http://dx.doi.org/10.1016/j.psyneuen.2024.107095 | DOI Listing |
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