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The description of menstrual bleeding patterns: towards fewer measures
1Special Programme of Research, Development and Research Training in Human Reproduction, World Health Organization, Geneva, Switzerland.
Statistics in Medicine
|February 1, 1991
Summary
Menstrual bleeding patterns from contraceptive use can be simplified. Principal components analysis identified four key indices that effectively capture bleeding amount, frequency, and variability, reducing data complexity.
Area of Science:
- Reproductive Health
- Contraception Research
- Statistical Analysis in Medicine
Background:
- Menstrual bleeding disturbances are a key factor in contraceptive method acceptability.
- Clinical trials often require women to maintain menstrual diary records.
- The World Health Organization (WHO) recommends summarizing bleeding patterns using ten indices.
Purpose of the Study:
- To determine if the ten WHO-recommended menstrual bleeding indices can be reduced to a smaller set of measures.
- To identify the most informative indices for describing a woman's bleeding pattern.
- To simplify the analysis and comparison of bleeding patterns across different contraceptive methods.
Main Methods:
- Utilized principal components analysis (PCA) on ten menstrual bleeding indices derived from women's calendar records.
- Evaluated the contribution of each index to capturing the essential dimensions of bleeding patterns.
- Identified indices that were less effective in measuring their intended aspects of the bleeding pattern.
Main Results:
- Three indices (range/maximum bleeding/spotting episode lengths, minimum bleeding-free interval) were found to be less informative.
- Four indices were identified as containing most of the essential information: number of bleeding/spotting episodes, mean episode/interval lengths, and range of bleeding-free interval lengths.
- These four indices effectively describe the amount, frequency, and variability of menstrual bleeding.
Conclusions:
- Principal components analysis can effectively reduce the complexity of menstrual bleeding pattern data.
- A subset of four indices provides a comprehensive summary of bleeding patterns, simplifying analysis and interpretation.
- This reduction facilitates better comparison of bleeding patterns in clinical trials and contraceptive acceptability studies.
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