Observational studyBMC women's health2024
Menstrual cycle related depressive symptoms and their diurnal fluctuations - an ambulatory assessment study.
Observational study in BMC women's health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04086316 (Vulnerable and Resilient Phases During the Menstrual Cycle and Their Influence on Depressive Symptoms and Stress. An Ambulatory Assessment Study on Healthy Women and Women With Depression.), which is not on this map. Cited by 1 paper.
What it found
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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.
Vulnerable and Resilient Phases During the Menstrual Cycle and Their Influence on Depressive Symptoms and Stress. An Ambulatory Assessment Study on Healthy Women and Women With Depression.
Who cites it
1 citing paper in PubMed.
- Associations Between Different Subtypes of Adverse Childhood Experiences with Reproductive Mood Disorders-a Scoping Review.Current psychiatry reports · 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
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundReproductive mood disorders indicate that within-person variation in depressive symptoms across the menstrual cycle can be related to ovarian hormone changes. Until now, such cycle-related symptom changes have been measured once daily, even though depression research indicates systematic diurnal changes in symptoms. Further, previous research often focused on aggregated depression scores. This study examined whether three daily assessments of depressive symptoms follow similar trajectories across the menstrual cycle and investigated within-person cyclical fluctuation of all individual symptoms and the aggregated score.
methods77 naturally-cycling participants (35 with and 42 without depressive disorder) provided three daily ratings of depressive symptoms across one menstrual cycle to evaluate individual and summarized symptoms.
resultsReliability estimates (w) of the three diurnal measurements ranged from 0.56 to 0.78. Cyclicity showed statistically significant interindividual differences for all symptoms, and individual symptoms differed significantly from each other in their magnitude of cyclicity. LIMITATIONS: Only one menstrual cycle was assessed to reduce participant burden. Further, ovulation testing dates were based on self-reported cycle lengths, and only LH (luteinizing hormone) peaks were tested without subsequent progesterone rises.
conclusionsThe results highlight the need for a symptom-specific approach to assess individual variance in cyclicity of depressive symptoms. Reliability for one daily assessment can be improved by using the afternoon value, a sum score for depressiveness, or multiple items per symptom. Furthermore, this study emphasizes, that depressive symptoms can systematically change across the menstrual cycle, and it is, therefore, important to include it in depression research. Exploring female-specific risk factors of depression will enable the development of person-tailored treatments.
trial registrationThe study was preregistered at ClinicalTrials.gov (NCT04086316) with the first registration on 27/08/2019.
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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.