Medical and sociological study of social predictors of perinatal risk of complicated pregnancy and preterm birth: a cohort study

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Abstract

BACKGROUND: The current Russian demographics is characterized by a declining birth rate and a high rate of complications during pregnancy and childbirth. Choosing the best pregnancy management and childbirth method is impossible without due consideration of perinatal risk factors.

AIM: To determine the perinatal risk of complicated pregnancy in women with premature birth using social predictors.

METHODS: The study conducted in 2024 included 118 women admitted to the maternity wards of the Clinical Perinatal Center of the Saratov Region for complicated pregnancies that ended in premature birth. The control group included 385 women with complicated pregnancies ended in term births. In both groups, respondents were differentiated by the degree of perinatal risk during pregnancy using the scale of perinatal risk factors proposed by Radzinsky et al., which includes additional social parameters of pregnant women. The survey of respondents was analyzed using standard algorithms in SPSS Statistics and Microsoft Excel. Correlation analysis was performed by calculating the Spearman’s rank correlation. A combination of factor and discriminant analyses was used to predict a pregnancy outcome.

RESULTS: In the premature birth group, the perinatal risk of pregnancy complications was low and medium in 53.8% of women, who underwent regular medical checkups in antenatal clinics, indicating that the perinatal risk of the respondents was underestimated. A combination of factor and discriminant analysis based on the respondent’s age, husband’s age, marital status, family size, number of children, number of minor children, average monthly income per family member, number of pregnancies, number of sexual partners, smoking, chronic and hereditary diseases allowed to accurately predict the pregnancy outcome in 92.4% of cases.

CONCLUSION: The study verified the social profile of pregnant women, which are significantly associated with the degree of perinatal risk of complicated pregnancy and childbirth.

About the authors

Anastasiya A. Rebrova

Saratov State Medical University named after V.I. Razumovsky

Email: rebrova_a@list.ru
ORCID iD: 0009-0004-7250-9567
SPIN-code: 9844-4578
Russian Federation, Saratov

Lada V. Rebrova

Saratov State Medical University named after V.I. Razumovsky

Email: rebrova_a@list.ru
ORCID iD: 0009-0001-3657-1062
SPIN-code: 8895-7469
Russian Federation, Saratov

Irina L. Krom

Saratov State Medical University named after V.I. Razumovsky

Author for correspondence.
Email: irina.crom@yandex.ru
ORCID iD: 0000-0003-1355-5163
SPIN-code: 4854-1094

MD, Dr. Sci. (Medicine)

Russian Federation, Saratov

Anna I. Samsonova

Saratov State Medical University named after V.I. Razumovsky

Email: bespeshnui_angel@mail.ru
ORCID iD: 0000-0003-0326-1380
SPIN-code: 1042-1930
Russian Federation, Saratov

Elena A. Andriyanova

Saratov State Medical University named after V.I. Razumovsky

Email: elena-andriyanova@yandex.ru
ORCID iD: 0000-0002-6250-8331
SPIN-code: 8378-3460

Dr. Sci. (Sociology), Professor

Russian Federation, Saratov

Alexander S. Fedonnikov

Saratov State Medical University named after V.I. Razumovsky

Email: fedonnikov@mail.ru
ORCID iD: 0000-0003-0344-4419
SPIN-code: 2248-5246

MD, Dr. Sci. (Medicine), Assistant Professor

Russian Federation, Saratov

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