Document Detail

An application of longitudinal methods to the analysis of menstrual diary data.
MedLine Citation:
PMID:  1940994     Owner:  NLM     Status:  MEDLINE    
Despite the considerable morbidity associated with menstrual dysfunction and mounting evidence that women's endogenous endocrine environment influences their long term health, epidemiologic investigation of menstruation is limited. A major obstacle has been the difficulty in analyzing menstrual diary data. This paper describes the variability in menstrual cycle length in college women using a longitudinal perspective. We first characterize the distribution of cycle length and show that it can be approximated by a mixture of a nearly symmetric distribution centered at 28 days and a stochastically larger component which produces a long right tail. After assessing the degree of heterogeneity in cycling patterns, we propose an analytical approach that examines cycle lengths within the symmetric portion of the distribution and cycle lengths within the tail of the distribution separately using random effects models.
S D Harlow; S L Zeger
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of clinical epidemiology     Volume:  44     ISSN:  0895-4356     ISO Abbreviation:  J Clin Epidemiol     Publication Date:  1991  
Date Detail:
Created Date:  1991-12-03     Completed Date:  1991-12-03     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  8801383     Medline TA:  J Clin Epidemiol     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  1015-25     Citation Subset:  IM    
Department of Epidemiology, School of Public Health of Mexico, National Institute of Public Health, Cuernavaca, Morelos.
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MeSH Terms
Longitudinal Studies
Menstrual Cycle*
Models, Biological
Regression Analysis
Self Disclosure
Time Factors

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