ArticleScientific data2026
A longitudinal dataset of physiological, hormonal, metabolic, and self-reported menstrual health data.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Women's Health Wearables: From Continuous Signals to Actionable Digital Phenotypes Across the Reproductive Lifespan.Bioengineering (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The mcPHASES (menstrual cycle Physiological, Hormonal, and Self-Reported Events and Symptoms) dataset provides a multimodal record of menstrual health that integrates physiological monitoring, hormone measurements, and self-reported experiences. Forty-two Canadian young adults who menstruate participated in a 3-month observation period, and 20 of them also completed a second 3-month observation period. During data collection, participants wore Fitbit Sense smartwatches to capture diverse physiological signals and Dexcom G6 continuous glucose monitors for metabolic data. Hormone levels were obtained using at-home Mira Plus urinalysis tests, and daily symptom and lifestyle information (e.g., pain, sleep, stress) was reported through surveys. In total, the dataset comprises 23 structured tables organized by signal category, allowing for analyses that link endocrine dynamics to wearable-derived measures and self-reported outcomes. This resource supports investigations into cycle variability, hormone-physiology interactions, and contextual influences on menstrual health, while also offering benchmark data for developing predictive algorithms and advancing menstrual health informatics.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.