Systematic review, 2026
How do researchers currently measure mood changes in menstrual cycle studies?
This review shows researchers measure mood in menstrual cycle studies in many different ways, with no standard approach. It identifies this inconsistency as a gap needing further research.
What they did
A scoping review examining how mood is defined, conceptualized, and measured in empirical research on the menstrual cycle in non-clinical (healthy) populations. The authors reviewed observational, mixed-methods, and qualitative studies tracking healthy people across their cycle timelines.
What they found
The review found major inconsistencies in how researchers define, time, and measure mood shifts in community samples. While clear diagnostic tools exist for PMDD, no standardized approaches are used for measuring mood in healthy populations. The review maps the breadth and diversity of methodological approaches used across different studies.
What it means for you
Research on mood and the menstrual cycle needs better standardized ways to measure mood so results from different studies can be compared. The main limitation is that this reviews how OTHER studies work rather than testing any treatment. It highlights where better methods are needed.
About the study
- Original title
- How Has Mood Been Operationalised and Measured in Menstrual Cycle Research Involving Non-Clinical Populations? A Scoping Review
- Authors
- Jodie Hunt
- Year
- 2026
- Study design
- Systematic review
- What was tested
- No intervention tested. This is a methodological review of how other studies measure mood.
- Open access
- Yes
- Read the paper
- doi.org/10.17605/osf.io/n8dcs
Original abstract
The primary objective of this scoping review is to map how mood is defined, conceptualised, operationalised, and assessed within empirical research examining mood across the menstrual cycle in non-clinical populations. This review aims to explore the breadth and diversity of methodological approaches used within the literature, identify patterns and inconsistencies in the conceptualisation and measurement of mood, and highlight gaps requiring further methodological development and research. While clear diagnostic tools exist for clinical conditions like Premenstrual Dysphoric Disorder (PMDD), inconsistencies persist in how researchers define, time, and measure mood shifts in community samples. By reviewing observational, mixed-methods, and qualitative studies that track healthy populations across their cycle timelines, this project aims to answer the question: how is mood defined, conceptualised, operationalised and assessed within menstrual cycle research in non-clinical populations?
Reproduced under public-domain.
Topics
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