Document Detail


Quantitative description of subjective symptoms in pregnant women and their changes during the perinatal period.
MedLine Citation:
PMID:  3385279     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
To study chronological changes in the spatial representation of subjective symptoms in pregnant women, the authors formulated a check list to employ throughout the period of pregnancy. Using this check list, 162 pregnant women were examined (1,773 examinations). Women who were delivered of normal full-term neonates were adopted for the study. The authors obtained the following results: The simple analysis supported the previous descriptions in many reports in literature. From multivariate analysis (biplot analysis and latent structure analysis) using no external standards, the distribution structure of the spatially represented subjective symptoms during pregnancy varied among the five periods of pregnancy (weeks 0-12, weeks 13-20, weeks 21-28, weeks 29-34 and weeks 35-). These results suggest that, for mass screening of high-risk pregnancy, a filter of subjective symptoms for each of the above-mentioned 5 periods of pregnancy should be prepared.
Authors:
M Oga; H Shouno; M Yamasaki; Y Itou; H Sugimori
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Nihon Sanka Fujinka Gakkai zasshi     Volume:  40     ISSN:  0300-9165     ISO Abbreviation:  Nippon Sanka Fujinka Gakkai Zasshi     Publication Date:  1988 May 
Date Detail:
Created Date:  1988-08-11     Completed Date:  1988-08-11     Revised Date:  2011-07-29    
Medline Journal Info:
Nlm Unique ID:  7505749     Medline TA:  Nihon Sanka Fujinka Gakkai Zasshi     Country:  JAPAN    
Other Details:
Languages:  eng     Pagination:  609-15     Citation Subset:  IM    
Affiliation:
Department of Obstetrics and Gynecology, Saga Medical School.
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MeSH Terms
Descriptor/Qualifier:
Analysis of Variance
Data Interpretation, Statistical
Female
Humans
Mass Screening / methods
Pregnancy / physiology*
Pregnancy Complications / epidemiology*,  prevention & control
Risk
Time Factors

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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