Identifying and Validating Clusters of Menopausal Symptoms Across Reproductive Stages
Alan Rathbun, Rebecca Brotman, Joanna Borgogna, Sarah Brown, Jacques Ravel, Michelle Shardell

TL;DR
This study identifies four distinct clusters of menopausal symptoms that vary by reproductive stage, which could help improve screening and personalized care for women.
Contribution
The study introduces a novel approach to categorizing menopausal symptoms using latent class analysis across reproductive stages.
Findings
Four symptom clusters were identified: multi-domain, asymptomatic, mood/somatic, and genitourinary/vasomotor.
Age and postmenopausal status were higher in clusters with severe physical symptoms.
Women in certain clusters showed clinical signs of genitourinary syndrome and lower hormone levels.
Abstract
Biological changes during the menopausal transition produce symptoms across multiple domains, yet clinical profiles remain poorly understood, hindering screening and targeted care. This study aimed to identify and validate menopausal symptom clusters and examine their variation across reproductive stages. Women aged 35–60 years (n = 741) enrolled in the Human Papillomavirus in Perimenopause study were followed for two years and completed four semiannual follow-up visits assessing genitourinary, vasomotor, other physical, and mood-related menopausal symptoms. Latent class models were fit using all available data (2,360 person-visits) to identify symptom clusters. Models with two to six classes were compared via fit statistics, posterior probabilities, item-response probabilities, and interpretability. Participants were assigned to the symptom cluster for which they had the highest…
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Taxonomy
TopicsMenopause: Health Impacts and Treatments · Sexual function and dysfunction studies · Cervical Cancer and HPV Research
