Prentice, Carley

Objective: Perimenopause is an under-recognized life stage that is often accompanied by complex and fluctuating symptoms. We aimed to quantify the prevalence of perimenopause uncertainty and explore the underlying drivers. Methods: We conducted a mixed-methods study using a cross-sectional survey of US women aged 35 years and above (N=7,640). We estimated the prevalence of perimenopause uncertainty and examined subgroup differences by age and symptom severity. Content analysis of free-text responses (n=409) identified key uncertainty drivers. Results: Overall, 34% (95% CI: 33%-35%) of participants reported being unsure of their reproductive stage. Uncertainty varied by age and symptom severity ( P < 0.001), peaking at 42% (95% CI: 41%-43%) among those aged 40-44 and 37% (95% CI: 36%-38%) among those with severe symptom burden. Content analysis revealed three main uncertainty drivers. Symptom confusion and attribution were the most common (56%), reflecting difficulties interpreting bodily changes and distinguishing perimenopause from other causes. Knowledge gaps and information seeking accounted for 28% of responses, highlighting limited health literacy, age-based assumptions, and active searches for evidence. Barriers to confirmation and care (16%) described dismissive health care encounters and reluctance to acknowledge perimenopause. Younger women (35-39 y) were more likely to cite knowledge gaps, while health care barriers peaked in the 40-44 age group ( P = 0.05). Conclusion: Perimenopause uncertainty is a prevalent and clinically meaningful phenomenon. Conceptually distinct from illness-focused uncertainty, this universal transition frequently involves ambiguity and limited validation. Clarifying symptom patterns, addressing knowledge gaps, and reducing barriers to confirmation may support women during perimenopause.

Abstract Objective Perimenopause is an under-recognized life stage that may be accompanied by complex and fluctuating symptoms. We aimed to quantify the prevalence of perimenopause uncertainty and explore the underlying drivers. Methods We conducted a mixed-methods study based on a cross-sectional survey of U.S. women aged 35 years and above (N=7,640). Closed-ended responses were analyzed to estimate the prevalence of perimenopause uncertainty with subgroup differences investigated by age and symptom severity. Content analysis of free-text responses (n=409) was conducted to identify the main uncertainty drivers. Results Overall, 34% of participants reported being unsure of their reproductive stage. Uncertainty peaked among those aged 40-44 (42%) and was highest among those with severe symptom burden (37%). The content analysis revealed three main uncertainty drivers. Symptom confusion and attribution was the most common (56%), reflecting difficulties interpreting bodily changes and distinguishing perimenopause from other causes. Knowledge gaps and information seeking accounted for 28% of responses, highlighting limited health literacy, assumptions about age, and active searches for evidence. Barriers to confirmation and care (16%) described dismissive healthcare encounters and reluctance to acknowledge perimenopause. Younger women (35-39 years) were more likely to cite knowledge gaps, while healthcare barriers peaked in the 40-44 age group. Conclusion Perimenopause uncertainty is a prevalent and clinically meaningful challenge. This uncertainty is conceptually distinct from illness-focused models: it is a universal transition with ambiguity and often lack of validation. Better symptom recognition and targeted communication is a crucial first step toward improving women’s awareness and support during perimenopause.

Abstract Objective Perimenopause is an under-recognized transition poorly measured by existing tools, which often overlook symptoms characteristic of this phase. To address this, we developed and validated the Perimenopause Symptom Scale (Peri-SS): a concise, phase-specific, psychometrically robust instrument for digital self-assessment and research use among U.S. women aged 35-59 who self-reported in perimenopause. Methods We conducted a longitudinal validation study with 1,255 U.S. women aged 35-59 (633 identified as perimenopausal) recruited via Prolific. Participants completed the Peri-SS, Menopause Rating Scale (MRS), and EuroQol 5-Dimension, 5-Level (EQ-5D-5L) at baseline and 7-14 days later. Following COSMIN guidelines, we assessed structural validity, internal consistency, test-retest reliability, criterion and construct validity, and responsiveness to change. Results The Peri-SS demonstrated strong psychometric performance. Confirmatory factor analysis confirmed a four-domain structure (vasomotor, psychological, sexual, physical), with excellent model fit (CFI = 0.932, RMSEA = 0.069). Internal consistency was excellent (α = 0.90 overall; domain range 0.73-0.86), and test-retest reliability was high (ICC = 0.82). Criterion validity was strong, with Peri-SS scores highly correlated with MRS (r = 0.88). Construct validity was supported through moderate correlations with EQ-5D-5L utilities (ρ = -0.50) and effective discrimination between groups by age, menopausal status, and hormone therapy use. The scale was also responsive to symptom changes over time (η² = 0.277). Conclusions The Peri-SS is a reliable, valid, responsive tool for assessing perimenopausal symptom burden. Its concise format and strong psychometric performance make it well-suited for research, clinical care, and digital health applications. Two sentence summary The Perimenopause Symptom Scale (Peri-SS) is a novel 16-item instrument developed to measure symptom burden during perimenopause across four domains. In a validation study among U.S. women aged 35-59 years, the Peri-SS demonstrated strong reliability, validity, and responsiveness, supporting its use in research, clinical care, and digital health settings.

Abstract Background Although a shared experience throughout the world, menstrual symptomatology is underreported and often misunderstood, by both individuals who menstruate and their providers. This study aimed to investigate symptomatology throughout the menstrual cycle, including the frequency of symptoms reported for each phase of the cycle and the relationship between symptoms. Methods This study included self-reported cycle information and symptoms during ovulatory menstrual cycles in mobile application users. Symptom frequency was described overall, by phase, and by day. Relationships between symptoms were examined through correlation coefficients and term frequency-inverse document frequency analysis. Results 437,577 unique users and 896,051 unique cycles were included in the analysis. Somatic symptoms were most frequently reported, logged in 88.3% of cycles. Of the total symptoms logged, somatic, gastrointestinal, and negative mood symptoms were most prevalent in the late luteal and bleeding days. In contrast, positive mood and discharge were most reported in the fertile window. Mood symptoms were highly correlated with each other (energetic mood and happy mood r = 0.62, anxious mood and obsessive thoughts r = 0.60). Fatigue was highly correlated with somatic and gastrointestinal symptoms such as bloating (r = 0.62), headache (r = 0.60), backache (r = 0.58), and nausea (r = 0.55). Conclusions Menstrual cycle-related symptoms are very common and vary throughout the menstrual cycle. While negative symptoms, including pain, bloating, and negative mood, are most commonly reported, women also report positive symptoms, such as energetic and happy mood. Self-reported data from cycle tracking and health apps can improve our understanding of the prevalence and variability of menstrual-related symptoms. Trial Registration Not applicable.