Level of Happiness and Its Associated Factors Among Pregnant Women in South Gondar Zone Hospitals, North Central Ethiopia

Prognostic risk score development to predict birth asphyxia using maternal and fetal characteristics in South Gondar zone hospitals, north West Ethiopia

Background

Birth asphyxia leads to profound systemic and neurological sequela to decrease blood flow or oxygen to the fetus followed by lethal progressive or irreversible life-long pathologies. In low resource setting countries, birth asphyxia remains a critical condition. This study aimed to develop and validate prognostic risk scores to forecast birth asphyxia using maternal and neonatal characteristics in south Gondar zone hospitals.

Methods

Prospective cohorts of 404 pregnant women were included in the model in south Gondar Zone Hospitals, Northwest Ethiopia. To recognize potential prognostic determinants for birth asphyxia, multivariable logistic regression was applied. The model discrimination probability was checked using the receiver operating characteristic curve (AUROC) and the model calibration plot was assessed using the ‘givitiR’ R-package. To check the clinical importance of the model, a cost-benefit analysis was done through a decision curve and the model was internally validated using bootstrapping. Lastly, a risk score prediction measurement was established for simple application.

Results

Of 404, 108 (26.73%) (95% CI: 22.6–31.3) newborns were exposed to birth asphyxia during the follow-up time. Premature rupture of membrane, meconium aspiration syndrome, malpresentation, prolonged labor, Preterm, and tight nuchal was the significant prognostic predictors of birth asphyxia. The AUROC curve for birth asphyxia was 88.6% (95% CI: 84.6-92.2%), which indicated that the tool identified the newborns at risk for birth asphyxia very well. The AUROC of the simplified risk score algorithm, was 87.9 (95% CI, 84.0– 91.7%) and the risk score value of 2 was selected as the optimal cut-off value, with a sensitivity of 78.87%, a specificity of 83.26%, a positive predictive value of 63.23%, and a negative predictive value of 91.52%.

Conclusions

We established birth asphyxia prediction tools by applying non-sophisticated maternal and neonatal characteristics for resource scares countries. The driven score has very good discriminative ability and prediction performance. This risk score tool would allow reducing neonatal morbidity and mortality related to birth asphyxia. Consequently, it will improve the overall neonatal health / under-five child health in low-income countries.

The Impact of Social Support and Pregnancy on Subjective Well-Being: A Systematic Review

Background: Subjective well-being (SWB) has a protective role in mental health maintenance and is prone to change during short stressful moments, such as pregnancy. Longstanding research suggests that social support (SS) from the partner and family members of pregnant women directly or indirectly acts as a buffer against negative mental outcomes. For happier pregnancies, it is important to understand how SS and pregnancy affect the SWB. Objective: This review aims to examine the extended association of being pregnant and SS on the SWB of pregnant women. Methods: A systematic review was conducted in PubMed, ScienceDirect, and Google Scholar. Articles published in peer-reviewed journals were included regardless of the year and if they had assessed the impact of at least one SWB or SS outcome among healthy pregnant women. The tools of the National Heart, Lung, and Blood Institute were used for quality assessment. Results: Thirty-four studies that assessed the domains of SWB measurements, such as happiness, quality of life (QoL), life satisfaction, positive and negative effects, and well-being, were included and its association with either pregnancy or SS was summarized. Variable results, such as life satisfaction, happiness, and mental component of QoL, were found to be high during pregnancy, but positive emotion and physical components of QoL had decreased. Almost universally, SS during pregnancy was found to have a positive association with all measurements of SWB. Conclusion: This study had found that, despite some arising trends, pregnancy itself does not necessarily have similar impacts on SWB across healthy pregnant women. However, SS had a significant effect on SWB.