Maternal social capital and child health in Vietnam. 2006

Trudy Harpham, and Mary J De Silva, and Tran Tuan
London South Bank University, 103 Borough Road, London SE1 OAA, UK. T.Harpham@lsbu.ac.uk

OBJECTIVE To explore the association between maternal social capital and child physical and mental health in Vietnam. METHODS Cross sectional survey. Measures of maternal structural social capital comprised group membership, citizenship, and social support. Measures of cognitive social capital comprised trust, social harmony, sense of fairness, and belonging. Child health was measured by anthropometrics and mothers' reports of acute and chronic physical health problems and child mental health. METHODS 2907 mothers and their 1 year old or 8 year old children from five provinces in Vietnam. RESULTS The study found low levels of group membership and citizenship and high levels of cognitive social capital and support, and generally higher levels of social capital among the mothers of 8 year old compared with 1 year old children. All but one association was in the hypothesised direction (that is, higher levels of social capital associated with reduced risk of child health problems). There were more statistically significant relations between maternal social capital and the health of 1 year olds compared with 8 year old children, and between measures of social support and cognitive social capital and child health, than with group membership and involvement in citizenship activities. CONCLUSIONS This study is the first to explore the association between multiple dimensions of social capital and a range of different child health outcomes in the developing world. These results now need to be tested using longitudinal data.

UI MeSH Term Description Entries
D007223 Infant A child between 1 and 23 months of age. Infants
D008603 Mental Health Emotional, psychological, and social well-being of an individual or group. Mental Hygiene,Health, Mental,Hygiene, Mental
D009035 Mothers Female parents, human or animal. Mothers' Clubs,Club, Mothers',Clubs, Mothers',Mother,Mother Clubs,Mother's Clubs,Mothers Clubs,Mothers' Club
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D002648 Child A person 6 to 12 years of age. An individual 2 to 5 years old is CHILD, PRESCHOOL. Children
D002669 Child Welfare Organized efforts by communities or organizations to improve the health and well-being of the child. Adolescent Welfare,Welfare, Adolescent,Welfare, Child
D002675 Child, Preschool A child between the ages of 2 and 5. Children, Preschool,Preschool Child,Preschool Children
D003072 Cognition Disorders Disorders characterized by disturbances in mental processes related to learning, thinking, reasoning, and judgment. Overinclusion,Disorder, Cognition,Disorders, Cognition
D003430 Cross-Sectional Studies Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time. Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D005260 Female Females

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