Cover image of the article: Correlation between prenatal depression with delivery type and neonatal anthropometric indicators

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Correlation between prenatal depression with delivery type and neonatal anthropometric indicators

Authors

Nosrat Bahrami1,*, Somayeh Bahrami2
1Dept. of Midwifery, Faculty of Nursing and Midwifery, Dezful University of Medical Sciences, Dezful, Iran
2Dezful University of Medical Sciences, Dezful, Iran
*Corresponding Author: Dept. of Midwifery, Faculty of Nursing and Midwifery, Dezful University of Medical Sciences, Dezful, Iran Email: fatemeh_d_d@yahoo.com

Koomesh:Vol. 15, issue 1; e153875
Published online:Aug 21, 2013
Article type:Research Article
How to Cite:Bahrami N, Bahrami S. Correlation between prenatal depression with delivery type and neonatal anthropometric indicators. koomesh. 2013;15(1):e153875. doi:

Abstract

 Introduction: ِDepression is one of the most common health problems in women, that it has the effects on the fetus growth beside on mother complications. The aim of this study was to determine the correlation between prenatal depression and delivery type and neonatal anthropometric indicators in women referring to Dezful (Iran) health centers in 2012. Materials and Methods: A prospective cohort study was carried out on pregnant women. Sampling using quato sampling was performed. In this study, 180 pregnant women with gestational age 34-36 weeks were divided into two groups, non depression (the control group) and depression (the case group). The research data were collected using demographical questionnaire, The Beck depression inventor, The Edinburgh postnatal pepression scale. The questionnaire was provided by content validity. That reliability was confirmed by test re-test. Results: The results indicated that prenatal depression increase likelihood of cesarean delivery 2.3 time more and there was significant difference between the two groups (p 6) at neonatal compared with the case group (p

Copyright

© 2013, Author(s). This open-access article is available under the Creative Commons Attribution 4.0 (CC BY 4.0) International License (https://creativecommons.org/licenses/by/4.0/), which allows for unrestricted use, distribution, and reproduction in any medium, provided that the original work is properly cited.

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