midwifery-gynaecology-2019-scientifictracks

Page 39

December 04-05, 2019 | Dubai, UAE

Annual Congress on

Midwifery and Gynaecology 2019

December 04-05, 2019

Midwifery nursing and Gynaecology

J Nurs Res Pract, Volume 3 |

ISSN: 2632-251X

Volume 3

Journal of Nursing Research and Practice

Measures of maternal socioeconomic status inYemen and association with maternal and

child health outcomes

Abdullah Nagi Alosaimi

University of Tampere, Finland

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 (PCA) 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.

Biography

Alosaimi Abdullah is Research Associate/Lecturer at Health Sciences department, Social Sciences School at the Tampere University,

from Yemen. He is a professional of public health in maternal and neonatal child healthcare area. He received his M.D. from Faculty of

Medicine & and Health Sciences, Sana’a University – Yemen and eventually earned his spot as director of Alashah Health District at

Amran province. While, he was in this post he earned his high diploma in community medicine. After his four-year career as a director

there, he decided it was time for a change of scenery and moved to Sana’a city, where he was offered to work as director of National

Health Continuing Education Program at the Ministry of Public Health & Population in Yemen. In addition, he worked as a consultant in

maternal and child healthcare and Nutrition with many international and local bodies. Later on in 2005, he made his master courses at

Queens University, Ontario –Canada also he earned M.S.c. of Public Health from Umea University, Umea - Sweden. By mid of 2008,

he Joint Unicef and earned his spot as health and nutrition officer in Yemen for 4 years. Recently he is doing his PhD at University of

Tampere, Finland.