Document Detail

A case-control study on risk factors for low birth weight in China.
MedLine Citation:
PMID:  12410946     Owner:  NLM     Status:  MEDLINE    
OBJECTIVE: To identify the risk factors for low birth weight (LBW) in Chinese newborns with varied characteristics. METHODS: A 1:1 matched case-control study, with 999 babies of LBW was performed in 44 counties of 11 provinces in China during July to October, 1998 for identifying their risk factors using simple and multivariate logistic regression models. RESULTS: The determinants of LBW in China included factors, such as multiparity (OR = 106.9), preterm birth (OR = 18.7), abnormal maternal health status (OR = 2.61) and maternal malnutrition (OR = 3.42), maternal medical conditions during pregnancy (OR = 1.93), maternal schooling (OR = 1.43), et al. Distribution of the risk factors for LBW was significantly different between coastal, inland and remote areas. LBW was mainly attributed to intrauterine growth retardation (IUGR) (71.6%) in the rural areas, and to multiparity and preterm birth, in addition to IUGR, in the urban areas. There was different in the risk factors for LBW with preterm births and IUGR. CONCLUSIONS: It is an effective way to reduce incidence of low birth weight in China that all measures for prevention and control should be relevant to its risk factors.
Xinli Zhang; Yulin Liu; Liangming Lin; Lanhua Cao; Jie Mi
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine]     Volume:  36     ISSN:  0253-9624     ISO Abbreviation:  Zhonghua Yu Fang Yi Xue Za Zhi     Publication Date:  2002 May 
Date Detail:
Created Date:  2002-11-04     Completed Date:  2002-12-23     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  7904962     Medline TA:  Zhonghua Yu Fang Yi Xue Za Zhi     Country:  China    
Other Details:
Languages:  eng     Pagination:  158-60     Citation Subset:  IM    
Department of Epidemiology, Capital Institute of Pediatrics, Beijing 100020, China.
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MeSH Terms
Case-Control Studies
Infant, Low Birth Weight*
Infant, Newborn
Logistic Models
Multivariate Analysis
Risk Factors

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

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