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Cunningham, Adam C

0000-0002-9791-7813

Mayo Clinic

Flo Health, Inc., London, United Kingdom.

Citations 4

Psychological symptoms during perimenopause: a global perspective
Hedges, Mary S. , Martin, Yella , Castaneda, Regina , Karam, Jana , Zhaunova, Liudmila , Faubion, Stephanie S. , Shufelt, Chrisandra , Cunningham, Adam C , Hewings-Martin, Yella , Castaneda, Regina , Karam, Jana , Zhaunova, Liudmila , Faubion, Stephanie S , Shufelt, Chrisandra L , Hedges, Mary S , Cunningham, Adam

Menopause | July 28, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1097/gme.0000000000002872 Get It

Objectives: Psychological health changes are known to occur during perimenopause, but the extent to which these differ from premenopause remains unclear. This study aimed to assess psychological symptoms during perimenopause compared with premenopause and evaluate differences by country. Methods: Flo app users aged 35 years or above not taking hormonal contraception or hormone therapy were included. The psychological domain of the Menopause Rating Scale (range 0-16) and symptoms within this domain of depressive mood, irritability, anxiety, and exhaustion (range 0-4 each) were evaluated. Participants in perimenopause were compared with those in premenopause (self-reported not in perimenopause or postmenopause). Results: A total of 7,975 women were included, with 2,353 in perimenopause (mean age 45 years [SD±4.5]) and 5,622 in premenopause (39 y [SD±4.0]). Psychological Menopause Rating Scale scores in the perimenopause group were significantly higher (7.3 [SD±3.56]) than in the premenopause group (4.8 [SD±3.56]; P <0.001). The individual symptoms of depressive mood, irritability, anxiety, and exhaustion were also higher in the perimenopause group ( P <0.001, for all respectively), with the largest difference being exhaustion. These findings remained after adjusting for known confounders, including an existing diagnosis of anxiety or depression. Geographic analysis included 20 countries across 6 continents, with significant differences identified between countries for the overall psychological symptom domain score and all individual symptoms. Conclusion: Significantly greater psychological symptom burden was identified in the perimenopause group compared with the premenopause group, with the greatest difference noted for the individual symptom of exhaustion. Differences in symptom burden were also identified by country.
Impact of social determinants of health on perimenopause symptom burden: insights from the Flo app
Martin, Yella , Karam, Jana , Hedges, Mary S. , Castaneda, Regina , Zhaunova, Liudmila , Faubion, Stephanie S. , Shufelt, Chrisandra , Cunningham, Adam C , Hedges, Mary S , Castaneda, Regina , Zhaunova, Liudmila , Faubion, Stephanie S , Shufelt, Chrisandra L , Hewings-Martin, Yella , Karam, Jana , Cunningham, Adam

Climacteric | June 29, 2026 | Volume: No volume available | Issue: No issue available | Pages: 1-8

10.1080/13697137.2026.2682228 Get It

Exploring Prevalence and Drivers of Perimenopause Uncertainty Among U.S. Women: A Mixed-Methods Study
Xu, Yihan, Fergus, Deirbhle, Martin, Yella , Cunningham, Adam , Xu, Yihan , Cunningham, Adam C , Hewings-Martin, Yella , Xu, Yihan , Hedges, Mary S. , Prentice, Carley , Zhaunova, Liudmila , Shufelt, Chrisandra , Faubion, Stephanie S.

No container title available | December 31, 2025 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.64898/2025.12.24.25342960 Get It

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.
Validation of the Perimenopause Symptom Scale (Peri-SS) for Digital Self-Assessment: Psychometric Evaluation Among U.S. Women Aged 35 to 59 years
Xu, Yihan , Ilyich, Irina, Prentice, Carley , Martin, Yella , Cunningham, Adam , Shufelt, Chrisandra , Faubion, Stephanie S. , Zhaunova, Liudmila , Shufelt, Chrisandra L , Faubion, Stephanie S , Cunningham, Adam C , Zhaunova, Liudmila , Hewings-Martin, Yella , Xu, Yihan

No container title available | July 18, 2025 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1101/2025.07.16.25331654 Get It

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.