Document Detail

Regional variation in infant survival in China.
MedLine Citation:
PMID:  8909107     Owner:  NLM     Status:  MEDLINE    
From retrospective survey reports 1985-87, the study examined the determinants of neonatal and post-neonatal survival in three provinces in China. Conditional logistic regression models were employed to estimate the effects of macro- and micro-level factors (such as socioeconomic conditions, familial relationships, as well as biosocial determinants) on the survivorship of neonatal and post-neonatal infants in China. The study yielded two findings: (1) Social changes in Chinese society had a strong positive effect on neonatal and post-neonatal survivorship; and (2) the magnitude of such social changes differed across regions which, in turn, led to the differential effects on neonatal and post-neonatal survivorship across provinces in China.
Data from the 1985 and 1987 China In-Depth Fertility Survey are used to analyze the determinants of child survival in selected provinces in China. The sample includes retrospective data from ever married women in Shaanxi, Liaoning, and Guangdong provinces. Provinces represented respectively a rural less developed region, an industrialized area, and a well-developed area. Birth data are presented by birth order. Explanatory variables include biosocial, family relationship, microsocial, and macrosocial factors. Conditional logistic models for are used to examine the effects of covariates on neonatal and postneonatal survivorship. Descriptive profiles showed a great diversity among the three provinces. However, during the study period, 1950-87, neonatal infants were more likely to experience higher mortality, regardless of province. Infant mortality varied by province. Shaanxi had significantly higher rates of neonatal and postneonatal mortality. Neonatal and postneonatal mortality improved in all provinces over time. Improvement was greater postneonatally. Living in a rural area significantly decreased the probability of survival. Survival rates were significantly higher in the more developed Liaoning and Guangdong provinces. Multivariate analysis suggests that social changes over time played a key role in improving infant survival. The effects of year of birth revealed a regular and gradual improvement in survivorship over time. The effect of rural residence, family relations, and maternal education varied across provinces. Findings suggest that family relations may act as a mediator between macrosocial changes and health service use. Future research will attempt to separate out the influence of government policies from other societal changes.
X S Ren
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Social biology     Volume:  43     ISSN:  0037-766X     ISO Abbreviation:  Soc Biol     Publication Date:    1996 Spring-Summer
Date Detail:
Created Date:  1996-12-06     Completed Date:  1996-12-06     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0205621     Medline TA:  Soc Biol     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  1-19     Citation Subset:  IM; J    
Joint Program in Society and Health, Health Institute, New England Medical Center, Boston, Massachusetts, USA.
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MeSH Terms
China / epidemiology
Infant Mortality*
Infant, Newborn
Logistic Models
Population Surveillance
Residence Characteristics*
Retrospective Studies
Risk Factors
Social Change*
Socioeconomic Factors

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

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