Measures of Maternal Socioeconomic Status in Yemen and Association with Maternal and Child Health Outcomes

Autor: Halima Mouniri, Abdullah N. Alosaimi, Bright I Nwaru, Riitta Luoto, Abdul Wahed Al Serouri
Rok vydání: 2015
Předmět:
Adult
Postnatal Care
Rural Population
medicine.medical_specialty
Yemen
Epidemiology
Cross-sectional study
Population
Prenatal care
Abortion
Interviews as Topic
Young Adult
03 medical and health sciences
0302 clinical medicine
Pregnancy
Surveys and Questionnaires
Environmental health
medicine
Humans
Maternal Health Services
030212 general & internal medicine
Child
education
Socioeconomic status
Principal Component Analysis
education.field_of_study
030505 public health
business.industry
Public health
Child Health
Pregnancy Outcome
Public Health
Environmental and Occupational Health
Infant
Obstetrics and Gynecology
Prenatal Care
Infant mortality
Cross-Sectional Studies
Social Class
Socioeconomic Factors
Health Care Surveys
Pediatrics
Perinatology and Child Health
population characteristics
Female
Rural area
Factor Analysis
Statistical
0305 other medical science
business
Zdroj: Maternal and Child Health Journal. 20:386-397
ISSN: 1573-6628
1092-7875
DOI: 10.1007/s10995-015-1837-4
Popis: Background Reliable measurement of socioeconomic status (SES) in health research requires extensive resources and can be challenging in low-income countries. We aimed to develop a set of maternal SES indices and investigate their associations with maternal and child health outcomes in rural Yemen. Methods We applied factor analysis based on principal component analysis extraction to construct the SES indices by capturing household attributes for 7295 women of reproductive age. Data were collected from a sub-national household survey conducted in six rural districts in four Yemeni provinces in 2008–2009. Logistic regression models were fitted to estimate the associations between the SES indices and maternal mortality, spontaneous abortion, stillbirth, neonatal and infant mortality. Results Three SES indices (wealth, educational and housing quality) were extracted, which together explained 54 % of the total variation in SES. Factor scores were derived and categorized into tertiles. After adjusting for potential confounding factors, higher tertiles of all the indices were inversely associated with spontaneous abortion. Higher tertiles of wealth and educational indices were inversely associated with stillbirth, neonatal and infant mortality. None of the SES indices was strongly associated with maternal mortality. Conclusion By subjecting a number of household attributes to factor analysis, we derived three SES indices (wealth, educational, and housing quality) that are useful for maternal and child health research in rural Yemen. The indices were worthwhile in predicting a number of maternal and child health outcomes. In low-income settings, failure to account for the multidimensionality of SES may underestimate the influence of SES on maternal and child health.
Databáze: OpenAIRE
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