dc.contributor.author
Klusmann, Hannah
dc.contributor.author
Brose, Annette
dc.contributor.author
Schulze, Lars
dc.contributor.author
Engel, Sinha
dc.contributor.author
Laufer, Sebastian
dc.contributor.author
Bücklein, Elise
dc.contributor.author
Knaevelsrud, Christine
dc.contributor.author
Schumacher, Sarah
dc.date.accessioned
2024-12-02T14:28:37Z
dc.date.available
2024-12-02T14:28:37Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/45795
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-45508
dc.description.abstract
Background
Reproductive 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.
Methods
77 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.
Results
Reliability 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.
Conclusions
The 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 registration
The study was preregistered at ClinicalTrials.gov (NCT04086316) with the first registration on 27/08/2019.
en
dc.format.extent
12 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
Menstrual cycle
en
dc.subject
Depressive disorders
en
dc.subject
Mood disorders
en
dc.subject
Diurnal fluctuation
en
dc.subject
Ambulatory assessment
en
dc.subject
Women’s health
en
dc.subject.ddc
100 Philosophie und Psychologie::150 Psychologie::150 Psychologie
dc.title
Menstrual cycle related depressive symptoms and their diurnal fluctuations – an ambulatory assessment study
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
611
dcterms.bibliographicCitation.doi
10.1186/s12905-024-03438-9
dcterms.bibliographicCitation.journaltitle
BMC Women's Health
dcterms.bibliographicCitation.number
1
dcterms.bibliographicCitation.volume
24
dcterms.bibliographicCitation.url
https://doi.org/10.1186/s12905-024-03438-9
refubium.affiliation
Erziehungswissenschaft und Psychologie
refubium.affiliation.other
Arbeitsbereich Klinisch-Psychologische Intervention

refubium.funding
Springer Nature DEAL
refubium.note.author
Die Publikation wurde aus Open Access Publikationsgeldern der Freien Universität Berlin gefördert.
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
1472-6874