Research Journal of Medical Sciences

Year: 2017
Volume: 11
Issue: 1
Page No. 28 - 31

Analysis of Structure and Risk Factors of Women Premature Birth in Kazakhstan

Authors : Marat Aizada, Ukybassova Talshyn, Akhmedyanova Gainyl, Galitskaya Tatyana, Gabdilashimova Zarema, Suleimenova Rosa and Mussina Aiman

Abstract: According to the World Health Organization (WHO) annually 15 million children are born “too early”, >1 million these children annually-die. According to WHO data the index of premature births in the Republic of Kazakhstan on 100 cases of childbirth for 2010 made 8.8. To study the main indicators of premature births: abundance, analysis of structure, risk factors. In this research the structure and risk factors of premature births from 2011 for 2015 in the Republic of Kazakhstan were studied. In total, it was analysed 11,861 history of childbirth including 1806 premature. Retrospective, prospective data were analyzed. Calculation of the Relation of Chances (RC) Confidence Interval (CI) of risk factors of development of premature births is carried out. The structure of premature births looks as follows: 76.7% a premature delivery on medical indications from them induced premature births near-16%, a premature operational delivery-60.7%, spontaneous premature births made-23.3% including premature births as a result of prenatal izlity 11.5% of amniotic waters. The interrelation between social factors and premature births was studied taking into account the obstetric anamnesis. Education level (OSH-2.7; SE-0.29; DI (95%) 1.5-4.8) employment (OSH-2.4; SE-0.29; DI (95%) 1.3-4.1) and the place of residence of the woman (OSH-1.5; SE-0,29; DI (95%) 0.9-2.7) are statistically significant risk factors of development of premature births. Features of a course of pregnancy and somatic pathology of women whose pregnancy came to the end with premature births are studied.

How to cite this article:

Marat Aizada, Ukybassova Talshyn, Akhmedyanova Gainyl, Galitskaya Tatyana, Gabdilashimova Zarema, Suleimenova Rosa and Mussina Aiman, 2017. Analysis of Structure and Risk Factors of Women Premature Birth in Kazakhstan. Research Journal of Medical Sciences, 11: 28-31.

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