| Variation in infant birth weight: socioeconomic factors versus medical conditions. | |
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MedLine Citation:
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PMID: 18998523 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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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. |
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Authors:
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Kennith G Hunter; M Mark Taslimi |
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Publication Detail:
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Type: Comparative Study; Journal Article; Multicenter Study |
Journal Detail:
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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:
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Created Date: 2008-11-11 Completed Date: 2008-12-11 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9501928 Medline TA: J Health Hum Serv Adm Country: United States |
Other Details:
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Languages: eng Pagination: 198-222 Citation Subset: H |
Affiliation:
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Health Management Corporation, USA. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Adolescent Adult Diabetes, Gestational / epidemiology Female Gestational Age Humans Infant, Low Birth Weight* Infant, Newborn Male Maternal Age Pregnancy 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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