Association between socioeconomic status with pregnancy and neonatal outcomes: An international multicenter cohort

Socioeconomic determinants of preterm birth: a prospective multicenter hospital-based cohort study among a sample of Kazakhstan

BACKGROUND

Preterm birth (PTB) is the most stubborn cause of neonatal morbidity and mortality globally. Social determinants are one of the predictors of health disparities and conflicting when regarding the etiology of PTB. The current study objected to investigate the impact of the factors especially from socioeconomic aspects and provided a snapshot of the indicators of PTB in Kazakhstan.

MATERIAL AND METHODS

A multi-center hospital-based cohort study was conducted on 3,000 singleton pregnant women in Kazakhstan to investigate whether socioeconomic status (SES) influences PTB in Kazakhstan. The study involved clinical data collection and structured questionnaires covering socioeconomic status, health behaviors, and obstetric history, with a final sample of 2,235 women successfully followed through to delivery. The social, demographic, and other health-related determinants for preterm birth were analyzed using bivariate and multivariate statistical methods. The associations between factors and PTB were evaluated by chi-squared tests in bivariate analysis. Independent variables with p < 0.1 in the bivariate analysis were included in a logistic regression model.

RESULT

History of PTB in previous pregnancies, maternal body mass index, housing stability, history of teen pregnancy, parity and general health status of mother were associated with PTB in bivariate analysis. In the logistic regression model, variabls significantly associated with PTB included a history of previous preterm birth, history of teen pregnancy, lower pre-gestational body mass index, primiparity and poorer maternal general health status. Additionally, the significance of the variables varied among the different subtypes of PTB heterogeneity. Women who were divorced, widowed and separated (OR = 5.1; 95% CI: 1.9-13.7) and those who pregnant for first time (OR = 3.8; 95% CI: 1.9-7.7), those with gestational diabetes (OR = 5.2; 95% CI: 1.7-16.3) had increased risk of extremely and very preterm birth, respectively. Women with a low body mass index (OR = 2.3; 95% CI: 1.3-3.9) and those with a history of teen pregnancy (OR = 0.4; 95% CI: 0.2-0.7) had increased risk of moderate to late preterm.

CONCLUSION

These results contribute to a better understanding of PTB predictors in Kazakhstan and highlight the need for comprehensive maternal care strategies to improve pregnancy outcomes.

Maternal factors increase risk of orofacial cleft: a meta-analysis

Orofacial clefts are among the most prevalent birth defects, with severe medical and psychosocial consequences. Cleft lip with or without cleft palate (CL ± P) and cleft palate only (CPO) affect on average nearly 1/700 births worldwide. The cause of most non-syndromic cases is unknown. Maternal factors and disorders are assumed to modify the risk of orofacial clefting. In the present study, we performed a systematic review and meta-analysis to analyze the effects of maternal underweight, obesity, hypertension, diabetes, as well as smoking, and alcohol consumption on the development of orofacial clefts. As CL ± CP and CPO have distinct pathogenetic backgrounds, these cleft subtypes were assessed separately. Altogether, 5,830 studies were identified and 64 of them met the inclusion and exclusion criteria. Obesity significantly elevated the odds of clefting (OR = 1.28, CI:1.08-1.51) (ORCL±CP = 1.23, CI:1.01-1.50; ORCPO = 1.31, CI:0.97-1.77). Maternal underweight also significantly increased the odds of clefting (OR = 1.21 CI:1.06-1.38). In mothers with type 1 diabetes, the odds of cleft development were significantly elevated (OR = 1,75, CI:1.45-2.12). Essential hypertension was also associated with higher odds of developing cleft (OR = 1.55, CI:1.18-2.03). Smoking during pregnancy significantly elevated the odds of cleft development (OR = 1.55, CI:1.34-1.79) (ORCL±CP = 1.58, CI:1.36-1.83; ORCPO = 1.50, CI:1.15-1.96). Passive smoking was even more damaging than active tobacco use, but alcohol consumption had no effect. In conclusion, this study clearly showed the importance of maintaining normal maternal body weight and emphasized the importance of hypertension and type 1 diabetes care in the first months of pregnancy. It also highlighted similarnegative effects of passive and active smoking, while alcohol consumption did not seem to be a significant risk factor for cleft development. However, there is a complete lack of available studies on the interactions of these factors, which is an essential direction for improving prevention.

Pregnancy-Induced Hypertensive Disorders predictors among pregnant and delivery mothers receiving care in public health institutions in Sidama, Ethiopia: a multicenter case control study

BACKGROUND

Pregnancy-Induced Hypertensive Disorders (PIHD) include conditions like Pre-Eclampsia, Eclampsia, and Gestational Hypertension, impacting 5-10% of pregnancies globally. These disorders are responsible for 16% of maternal deaths in Sub-Saharan Africa and account for 16.9% of maternal mortality in Ethiopia, representing 10% of the country's total maternal deaths.

OBJECTIVE

To identify predictors of PIHD among pregnant and delivery women in public hospitals and primary health care units (health centers) in Sidama, Ethiopia.

METHODS

A multi-center unmatched case-control study was conducted on women in antenatal care and obstetrics/gynecology departments at 12 randomly selected public health institutions, including one specialized teaching hospital, two general hospitals, three primary hospitals, and six health centers. The study involved 920 women (230 cases and 690 controls) selected from December 2023 to February 2024. Cases included pregnant or delivery women at 20 + weeks gestation with PIHD such as pre-eclampsia, eclampsia, gestational hypertension, and chronic hypertension with superimposed preeclampsia. Controls were normotensive pregnant women or delivering mothers without PIHD after 20 weeks gestation. Data was manually verified, entered, and validated using Epidata software, followed by analysis with SPSS 22. Univariate analysis assessed predictors of PIHD, while binary logistic regression evaluated the relationships between factors. Model fitness was checked using collinearity assessments and the Hosmer-Lemeshow test, with variables having a P value < 0.05 deemed independent predictors.

RESULTS

Out of 920 planned participants, 686 were included, resulting in a response rate of 94.35%. Factors associated with PIHD in women included age at first conception (AOR = 1.26), mid (AOR = 6.05) and high (AOR = 5.01) wealth index levels, multigravidity (AOR = 4.34), pregnancy age ≥ 42 weeks (AOR = 3.65), maternal mid-upper arm circumference (MUAC) (AOR = 1.29), hemoglobin levels of 6.5-10.9 g/dL (AOR = 5.59), pre-pregnancy Body Mass Index (BMI) ≥ 25 kg/M2 (AOR = 0.81), preexisting hypertension (AOR = 8.97), family history of diabetes mellitus (AOR = 20.02), former alcohol consumption (AOR = 0.27), and total physical activity during pregnancy (AOR = 0.54).

CONCLUSIONS

The study identifies key predictors of PIHD in women, including age at conception, wealth index, multigravidity, gestational age, and pre-pregnancy BMI. It underscores the link between socioeconomic status and maternal health, highlighting that financial resources alone don't ensure better outcomes without educational access. The research advocates for a health intervention strategy focusing on socioeconomic factors and public health initiatives to reduce maternal health disparities while exploring the role of partner stability and psychosocial aspects.

Cohort profile: Improved Pregnancy Outcomes via Early Detection (IMPROvED), an International Multicentre Prospective Cohort

Background

Improved Pregnancy Outcomes via Early Detection (IMPROvED) is a multi-centre, European phase IIa clinical study. The primary aim of IMPROvED is to enable the assessment and refinement of innovative prototype preeclampsia risk assessment tests based on emerging biomarker technologies. Here we describe IMPROvED's profile and invite researchers to collaborate.

Methods

A total of 4,038 low-risk nulliparous singleton pregnancies were recruited from maternity units in Ireland (N=1,501), United Kingdom (N=1,108), The Netherlands (N=810), and Sweden (N=619) between November 2013 to August 2017. Participants were interviewed by a research midwife at ~11 weeks (optional visit), ~15 weeks, ~20 weeks, ~34 weeks' gestation (optional visit), and postpartum (within 72-hours following delivery).

Findings to date

Clinical data included information on maternal sociodemographic, medical history, and lifestyle factors collected at ~15 weeks' gestation, and maternal measurements, collected at each study visit. Biobank samples included blood, urine, and hair collected at each study visit throughout pregnancy in all units plus umbilical cord/blood samples collected at birth in Ireland and Sweden. A total of 74.0% (N=2,922) had an uncomplicated pregnancy, 3.1% (N=122) developed preeclampsia, 3.6% (N=143) had a spontaneous preterm birth, and 10.5% (N=416) had a small for gestational age baby. We evaluated a panel of metabolite biomarkers and a panel of protein biomarkers at 15 weeks and 20 weeks' gestation for preeclampsia risk assessment. Their translation into tests with clinical application, as conducted by commercial entities, was hampered by technical issues and changes in test requirements. Work on the panel of proteins was abandoned, while work on the use of metabolite biomarkers for preeclampsia risk assessment is ongoing.

Future plans

In accordance with the original goals of the IMPROvED study, the data and biobank are now available for international collaboration to conduct high quality research into the cause and prevention of adverse pregnancy outcomes.

Impact of prenatal maternal depression on gestational length: post hoc analysis of a randomized clinical trial

Background

Shortened gestation is a leading cause of childhood morbidity and mortality with lifelong consequences for health. There is a need for public health initiatives on increasing gestational age at birth. Prenatal maternal depression is a pervasive health problem robustly linked via correlational and epidemiological studies to shortened gestational length. This proof-of-concept study tests the impact of reducing prenatal maternal depression on gestational length with analysis of a randomized clinical trial (RCT).

Methods

Participants included 226 pregnant individuals enrolled into an RCT and assigned to receive either interpersonal psychotherapy (IPT) or enhanced usual care (EUC). Recruitment began in July 2017 and participants were enrolled August 10, 2017 to September, 8 2021. Depression diagnosis (Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition; DSM 5) and symptoms (Edinburgh Postnatal Depression Scale and Symptom Checklist) were evaluated at baseline and longitudinally throughout gestation to characterize depression trajectories. Gestational dating was collected based on current guidelines via medical records. The primary outcome was gestational age at birth measured dichotomously (≥39 gestational weeks) and the secondary outcome was gestational age at birth measured continuously. Posthoc analyses were performed to test the effect of reducing prenatal maternal depression on gestational length. This trial is registered with ClinicalTrials.gov (NCT03011801).

Findings

Steeper decreases in depression trajectories across gestation predicted later gestational age at birth, specifically an increase in the number of full-term babies born ≥39 gestational weeks (EPDS linear slopes: OR = 1.54, 95% CI 1.10-2.16; and SCL-20 linear slopes: OR = 1.67, 95% CI 1.16-2.42). Causal mediation analyses supported the hypothesis that participants assigned to IPT experienced greater reductions in depression symptom trajectories, which in turn, contributed to longer gestation. Supporting mediation, the natural indirect effect (NIE) showed that reduced depression trajectories resulting from intervention were associated with birth ≥39 gestational weeks (EPDS, OR = 1.65, 95% CI 1.02-2.66; SCL-20, OR = 1.85, 95% CI 1.16-2.97).

Interpretation

We used a RCT design and found that reducing maternal depression across pregnancy was associated with lengthened gestation.

Funding

This research was supported by the NIH (R01 HL155744, R01 MH109662, R21 MH124026, P50 MH096889).

Relationship between Maternal Socioeconomic Factors and Preterm Birth in Latvia

Background and Objectives: Worldwide, preterm birth (PTB) stands as the primary cause of mortality among children under 5 years old. Socioeconomic factors significantly impact pregnancy outcomes, influencing both maternal well-being and newborn health. Understanding and addressing these socioeconomic factors is essential for developing effective public health interventions and policies aimed at improving pregnancy outcomes. This study aims to analyse the relationship between socioeconomic factors (education level, marital status, place of residence and nationality) and PTB in Latvia, considering mother's health habits, health status, and pregnancy process. Materials and Methods: A cross-sectional study was conducted using data from the Medical Birth Register (MBR) of Latvia about women with singleton pregnancies in 2022 (n = 15,431). Data analysis, involving crosstabs, chi-square tests, and multivariable binary logistic regression, was performed. Adjusted Odds ratios (aOR) with 95% confidence intervals (CI) were estimated. Results: Lower maternal education was statistically significantly associated with increased odds of PTB. Mothers with education levels below secondary education had over two times higher odds of PTB (aOR = 2.07, p < 0.001, CI 1.58-2.70) and those with secondary or vocational secondary education had one and a half times higher odds (aOR = 1.58, p < 0.001, CI 1.33-1.87) after adjusting for other risk factors. Study results also showed the cumulative effect of socioeconomic risk factors on PTB. Additionally, mothers facing two or three socioeconomic risk factors in Latvia exhibited one and a half times higher odds of PTB (aOR = 1.59, p = 0.021). Conclusions: The study highlights the cumulative impact of socioeconomic risk factors on PTB, with higher maternal education demonstrating the highest protective effect against it. This underscores the importance of education in promoting optimal foetal development. Since the influence of socioeconomic factors on PTB is not a widely studied issue in Latvia, further research is needed to improve understanding of this complex topic.

Impact of sex, race, and social determinants of health on neonatal outcomes

Despite the global improvements in neonatal outcomes, mortality and morbidity rates among preterm infants are still unacceptably high. Therefore, it is crucial to thoroughly analyze the factors that affect these outcomes, including sex, race, and social determinants of health. By comprehending the influence of these factors, we can work towards reducing their impact and enhancing the quality of neonatal care. This review will summarize the available evidence on sex differences, racial differences, and social determinants of health related to neonates. This review will discuss sex differences in neonatal outcomes in part I and racial differences with social determinants of health in part II. Research has shown that sex differences begin to manifest in the early part of the pregnancy. Hence, we will explore this topic under two main categories: (1) Antenatal and (2) Postnatal sex differences. We will also discuss long-term outcome differences wherever the evidence is available. Multiple factors determine health outcomes during pregnancy and the newborn period. Apart from the genetic, biological, and sex-based differences that influence fetal and neonatal outcomes, racial and social factors influence the health and well-being of developing humans. Race categorizes humans based on shared physical or social qualities into groups generally considered distinct within a given society. Social determinants of health (SDOH) are the non-medical factors that influence health outcomes. These factors can include a person's living conditions, access to healthy food, education, employment status, income level, and social support. Understanding these factors is essential in developing strategies to improve overall health outcomes in communities.