A cross-sectional analysis of the profile and predictors of maternal quality of life during physiological pregnancy
European Journal of Molecular & Clinical Medicine,
2023, Volume 10, Issue 4, Pages 1272-1278
Abstract
All phases of life, including pregnancy, are important for quality of life (QoL) and its determinants. Pregnant women's quality of life is impacted by the physical and emotional changes that occur during pregnancy, which has an impact on both maternal and baby health. As a result, evaluating the quality of life of pregnant women is becoming more popular in literature. Therefore, our goal was to describe pregnant women's quality of life (QoL) during physiological pregnancy and to find the factors that predict it in women who were using a public healthcare system.Methods: At a hospital in India, the department of obstetrics and gynaecology undertook a cross-sectional study. SPPS v 21 was used to code and analyse the data. In order to determine whether the data were normal, the Kolmogorov-Smirnov test was applied, and non-parametric tests were performed as a result. The developers' suggested assessment of Quality of Life was conducted. The determinants of QoL were found using linear regression, and significant relationships were found using the Chi-square test. P values of 0.05 were considered significant for all analyses.
Results: The study had a participation rate of 433 pregnant women and a 98% response rate. The current cohort's QoL was very good, as evidenced by the mean QoL score of 19.85 4.89. A substantial correlation was found in the Chi-Square study between age, education, occupation, income, marital status, and trimester. According to research, education is a good predictor of QoL (p = 0.006, r = 2.157). Trimester, on the other hand, was found to be a poor predictor of quality of life (p = 0.013, r = -1.123).
Conclusion: Pregnant women's quality of life must be improved via better understanding of their challenges and support. The current study focused on the trimester and educational level as the main predictors of QoL in pregnant women. When creating treatment plans and interventions for pregnant women, healthcare practitioners and governments should take the considerations into account.
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