Quality of life, resilience, marital adjustment, and satisfaction with life in assessing pregnancy risk among rural and agricultural communities

Abstract

Pregnancy is a critical period marked by significant physiological and psychological changes that influence both maternal and fetal outcomes. Traditional risk assessments prioritize physical and obstetric factors such as maternal age and gestational complications. However, recent research highlights the growing importance of psychological well-being in pregnancy outcomes. This study focuses on analyzing the significance of variables, viz. Quality of life (QOL), satisfaction with life (SWL), marital adjustment (MAT), and Resilience, among high-risk and low-risk pregnant women. Logistic and probit regression models were used to explain the variability in binary outcomes (high-risk vs. low-risk pregnancies). McFadden’s pseudo R² and the marginal effects of each psychological variable were calculated to assess their influence on the likelihood of being in the high-risk group. Both models identified quality of life as the most significant factor in reducing the likelihood of high-risk pregnancy, followed by marital adjustment, resilience, and satisfaction with life. McFadden’s pseudo R² values of 0.7828 (logistic) and 0.7704 (probit) indicate a strong model fit and significant improvement over the null model. The findings underscore the importance of incorporating psychological well-being, particularly quality of life, resilience, and marital adjustment, into standard prenatal care. By integrating these factors into pregnancy risk assessments, healthcare providers can better identify high-risk pregnancies and implement targeted interventions to improve outcomes for both mothers and babies.