Rosita Aniulienė, Birutė Žilaitienė, Rasa Grigolienė, Gintaras Pridotkas


We performed a case control study to evaluate risk factors for preterm labour in 1200 women. 600 women who delivered prematurely and randomly selected group of 600 women who gave birth at term were questioned using a standardised questionnaire. Simple data analysis, multiple regression analysis, including logit and probit regression models and multiple stepwise regression were performed to identify independent risk factor of preterm labour. Based on this analysis and in respect of these independent factors an equation was suggested which allows to evaluate mathematically risk for preterm labour and can be used in gynaecologists’ practice.

Keyword(s): regression models; premature labour; risk factors.
DOI: 10.5200/sm-hs.2016.081
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