Document Detail

Variation in infant birth weight: socioeconomic factors versus medical conditions.
MedLine Citation:
PMID:  18998523     Owner:  NLM     Status:  MEDLINE    
This paper seeks to determine the relative effect of socioeconomic variables and medical conditions in explaining changes in infant birth weight, specifically, low birth weight (LBW). Using ordinary least squares regression, we first analyze the effects of these variables on the birth weight of 621 infants. Four of the independent variables--gestational age in number of days, sex, parity, and health insurance--are statistically significant (P<.05) and explain 64 percent of the variation in infant birth weight. But in a subset of 18 infants born with LBW to mothers < or = 18 years of age or 35 > or = years of age, only gestational age in number of days is statistically significant.
Kennith G Hunter; M Mark Taslimi
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Publication Detail:
Type:  Comparative Study; Journal Article; Multicenter Study    
Journal Detail:
Title:  Journal of health and human services administration     Volume:  31     ISSN:  1079-3739     ISO Abbreviation:  J Health Hum Serv Adm     Publication Date:  2008  
Date Detail:
Created Date:  2008-11-11     Completed Date:  2008-12-11     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9501928     Medline TA:  J Health Hum Serv Adm     Country:  United States    
Other Details:
Languages:  eng     Pagination:  198-222     Citation Subset:  H    
Health Management Corporation, USA.
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MeSH Terms
Diabetes, Gestational / epidemiology
Gestational Age
Infant, Low Birth Weight*
Infant, Newborn
Maternal Age
Prenatal Care / utilization
Prospective Studies
Risk Factors
Rural Health
Socioeconomic Factors
Tennessee / epidemiology

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

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