Prenatal Health Research Articles

Delayed Lactogenesis II in High-Risk Pregnancies: What Should We Care

Background: The timely initiation of lactogenesis II is crucial for postpartum women, with delays having significant clinical implications. This study aimed to evaluate the determinants of delayed lactogenesis II (DOL II) in high-risk pregnant women to guide clinical interventions and postnatal care protocols. Methods: We conducted a study involving high-risk pregnant women who gave birth and were admitted to our hospital’'s obstetric intensive care unit for postpartum surveillance and treatment from February 1, 2023, to April 30, 2024. We utilized Pearson correlation analysis and logistic regression to determine factors linked to DOL II. Results: Our study included 206 high-risk pregnant women, with 85 (41.26%) experiencing DOL II. Pearson correlation analysis indicated strong associations between DOL II and maternal age (r = 0.452), gestational hypertension (r = 0.514), gestational diabetes (r = 0.487), and delayed colostrum secretion (r = 0.506), all statistically significant ( p < 0.05). Logistic regression analysis identified age 35 years or older (OR = 2.115, 95%CI: 1.785–2.466), gestational hypertension (OR = 2.404, 95%CI: 2.125–3.107), gestational diabetes (OR = 2.556, 95%CI: 2.008–2.879), and colostrum secretion later than one hour postpartum (OR = 3.126, 95%CI: 2.682–3.605) as independent risk factors for DOL II, all with p < 0.05. Conclusions: The incidence of DOL II is significantly elevated in high-risk pregnant women, especially those aged 35 or older, those with gestational diabetes and hypertension, and those who delay the initiation of breastfeeding. It is imperative that clinical practices prioritize enhanced prenatal care and health education, robust lactation support, and improved lactation awareness among postpartum women to reduce the prevalence of DOL II.

The Role of AI and Machine Learning in Revolutionizing Prenatal Screening and Genetic Analysis

rtificial Intelligence (AI) and Machine Learning (ML) are at the forefront of innovations in medical diagnostics, including prenatal screening and genetic analysis. The development of advanced algorithms, data processing capabilities, and predictive modeling has significantly enhanced the sensitivity, specificity, and accuracy of non-invasive prenatal testing (NIPT). This article explores recent advancements in AI- driven prenatal screening, the methodologies employed, and the future potential of AI in predictive prenatal health diagnostics, with a particular focus on improving genetic disorder detection and fetal health outcomes. The role of ethical considerations in AI-driven diagnostics is also discussed.

Exploring the Nexus Between Fertility Rates and Geopolitical Risk with Intelligence Methods: A Multifaceted Analysis

Background/Objectives: This paper presents an analysis of birth rate statistics, specifically focusing on recorded births in Scotland. The main research objective focuses on investigating the influence of geopolitical concerns on birth rate forecasts. Specifically, we examine whether individuals may choose to postpone or abstain from having children during times of conflict or political turmoil due to concerns about personal safety, the welfare of their children, or uncertainty about the future caused by geopolitical risks. Additionally, this study examines how disruptions to healthcare services, such as limited access to prenatal care and maternal health facilities, can affect birth outcomes and lead to changes in birth rates. Methods: To approach the research objective both machine learning algorithms and classical statistical procedures. Also, as part of the current analysis, the Geopolitical Risk Index has been applied as an extra factor to predict the birth rate. Results: The results of our study demonstrate the effectiveness of machine learning in producing precise predictions in this field, while emphasizing the significant influence of geopolitical risk on comprehending the dynamics of birth rates in Scotland. Conclusions: This study examines the effectiveness of several machine learning regression models in accurately predicting the number of births in Scotland using data that is not included in the model training process. Findings show promising outcomes in predicting births, while geopolitical instability has been indicated as a substantial influence on birth rates and fertility rates.

Characterising developmental dynamics of adult epigenetic clock sites

DNA methylation (DNAm), an epigenetic mechanism that regulates gene activity in response to genetic and environmental influences, changes as we age. DNAm at specific sites on the genome can be used to calculate 'epigenetic clocks', which are powerful biomarkers of age, as well as of ageing. However, little is known about how these clock sites 'behave' during development and what factors influence their variability in early life. This knowledge could be used to optimise healthy ageing well before the onset of age-related conditions. We leveraged results from two longitudinal population-based cohorts (N=5019 samples from 2348 individuals) to characterise trajectories of adult clock sites from birth to early adulthood. To explore what factors may drive early individual differences at these clock sites, we also tested for enrichment of genetic factors and prenatal exposures based on existing epigenome-wide association meta-analyses. We find that clock sites (i) diverge widely in their developmental trajectories, often showing non-linear change over time; (ii) are substantially more likely than non-clock sites to vary between individuals already from birth, differences that are predictive of DNAm variation at later ages; and (iii) show enrichment for genetic influences and prenatal environmental exposures, including prenatal smoking, diet and maternal physical health conditions. These results suggests that age(ing)-related epigenetic processes might originate-and differ between individuals-already very early in development. Understanding what drives these differences may in future help us to devise better strategies to promote healthy ageing. This research was conducted while C.A.M.C. was a Hevolution/AFAR New Investigator Awardee in Aging Biology and Geroscience Research. Full personal funding details, as well as cohort funding details, can be found in the Acknowledgements.

The Critical Role of Folate in Prenatal Health and a Proposed Shift from Folic Acid to 5-Methyltetrahydrofolate Supplementation

Folate, or vitamin B9, is a water-soluble vitamin essential in periconceptional nutrition. In its active form, tetrahydrofolate, it plays a vital role in DNA methylation and homocysteine breakdown. Maintenance of normal serum folate levels is crucial during pregnancy; deviation from these levels, either in dearth or excess, can lead to various pregnancy and infant complications. This article analyzes existing literature on folate’s absorption pathway in human physiology and reviews the evidence surrounding prenatal supplementation guidelines for folic acid. Prior research supports these guidelines because, in the absence of folate during pregnancy, research has shown an increased incidence of neurodevelopmental defects, food allergies, ophthalmic deficits, and other adverse effects for both mother and child. This significant body of evidence has driven most developed countries to implement folic acid supplementation initiatives, with the World Health Organization recommending a daily 400-µg folic acid supplementation for periconceptional women. As progress continues on a global scale, further efforts should be made to improve folic acid levels in pregnant populations among demographic subgroups. Research supports the use of 5-methyltetrahydrofolate in place of traditional folic acid prenatal supplements based on the increased bioavailability, resistance to genetic polymorphisms, and avoidance of several potential risks associated with folic acid supplements. More research and product development should be done to drive and support this shift in prenatal supplementation trends.

Prenatal alcohol exposure and health at midlife: Self-reported health outcomes in two cohorts.

The Developmental Origins of Health and Disease Hypothesis (DOHaD) suggests prenatal alcohol exposure (PAE) should have implications for adult physical and mental health. Since the health profile of older adults with PAE and diagnoses of fetal alcohol spectrum disorder (FASD) is unknown, the current study evaluates self-reported health problems of midlife adults with and without a history of PAE to describe these outcomes. Participants (N = 357) recruited from longitudinal cohorts in Atlanta, GA and Seattle, WA completed a health survey assessing a range of physical conditions. Initial analysis compared the frequency of conditions between alcohol-exposed and nonexposed groups. To identify patterns within groups, 10 problem areas were subjected to latent class analysis (LCA). Finally, the direct effect of PAE on health outcomes was evaluated using multilevel modeling, controlling for effects of other factors. Compared with unexposed controls, individuals with PAE reported significantly higher frequencies of problems with hearing, dentition, heart, cancer, gastritis, kidney stones, bladder, diabetes, thyroid, skin, and seizures. LCA found that controls yielded two classes, with 45% reporting sleep and vision problems and 55% reporting sleep, vision, cardiovascular, endocrine, immune, and dental problems. The PAE group yielded three classes, with 13% endorsing few health problems, 43% reporting sleep, vision, immune, and dental problems, and 43% reporting sleep, vision, cardiovascular, urinary, endocrine, skin, immune, dental, and gastrointestinal problems. With multivariate analysis, controlling for other influences, PAE was associated directly with hearing, urinary, dental, and gastrointestinal problems. A similar pattern was found for alcohol-exposed individuals who did and did not meet criteria for fetal alcohol syndrome (FAS). Patients affected by alcohol may report greater frequency and range of health adversity. That PAE was only uniquely associated with a limited set of problems suggests that many health outcomes in midlife result from an initial vulnerability potentiated by postnatal stress resulting from other associated factors.

Health literacy in pregnant women facing prenatal screening: a short report from “SaperePer” project

Abstract Advancements in health promotion and prenatal medicine have made noninvasive prenatal testing (NIPT) a common practice during pregnancy, but understanding prenatal health information becomes crucial not only for the well-being of the mother but also for that of the unborn child. Analyze health-related information during pregnancy is fundamental, and this work fits perfectly with this topic, reporting preliminary results from the pilot study “SaperePer”. A health-related questionnaire was administered to 358 women in the first trimester of pregnancy, aiming to study different outcomes: 1.level of knowledge of NIPT; 2.number of screening tests undergone; 3.willingness to undergo a diagnostic test with a high outcome risk of screening test; 4.willingness to end the pregnancy following a diagnosis of pathology. The questionnaire was divided into 3 sections: personal characteristics and lifestyle habits, prenatal health behavior scale (PHBS), and knowledge of NIPT. Preliminary results showed that the level of knowledge of NIPT was higher in older, atheist, working, wealthy highly educated, and preliminary informed women, as well as the higher number of screening tests undergone and the propensity to undergo an invasive diagnostic test after a high-risk screening result (KS and MW tests p < 0.05). On the contrary, women with lower education, faithful and, even more, not preliminary and appropriately informed during prenatal counseling showed lower knowledge of NIPT, lower number of tests undergone, and meager chances to undergo an invasive diagnostic test or to end the pregnancy after a positive diagnosis of pathology (KS and MW tests p < 0.05). In conclusion, this study evaluated health-related information during the first but crucial stages of pregnancy, opening a new understanding of how health literacy and correct prenatal counseling could increase awareness and health promotion in pregnant women, particularly in those women with lower cultural tools. Key messages • Health literacy and correct prenatal counseling could increase awareness and health promotion in pregnant women. • Understanding prenatal health information becomes crucial both for maternal and prenatal well-being.

Urban Green Spaces on Maternal Sleep Quality One Year Postpartum Amid COVID-19 Alert Level Changes

Abstract Background Benefits of green spaces (GS) on sleep quality were found, particularly for mothers, which, in turn, contributed to maternal health and offspring development. However, the COVID-19 pandemic imposed restrictions on environmental access, potentially altering the influence of urban GS on sleep quality. This study aims to explore the impact of urban GS on maternal sleep quality one year postpartum during the pandemic. Methods Participants were drawn from the Longitudinal Examination across Prenatal and Postpartum Health in Taiwan study, tracking individuals from early pregnancy across five hospitals in Taipei since 2011. We utilized data spanning from 2019 to 2024, with May 2021 (the initial soft lockdown due to community spread) serving as the cutoff point to delineate early and late pandemic stages. Self-reported sleep quality one year postpartum was assessed using the Pittsburgh Sleep Quality Index. Residential GS was evaluated using the Normalized Difference Vegetation Index (NDVI) within various radii (250m to 2000m). Multiple logistic regression was utilized. Results From the 311 participants, in the early stage of the pandemic, an increase of 0.1 units in NDVI within a 250m radius during both prenatal and postnatal periods (0-12 months) was associated with improved maternal sleep quality (OR = 1.57; 95% CI = 1.08, 2.32, and OR = 1.58; 95% CI = 1.07, 2.30) after adjustments. The impact diminished as the radius increased. Additionally, no significant association was found during the late stage of the pandemic across any of the studied radii. Conclusions The findings suggest a positive correlation between proximity to urban GS and maternal sleep quality during the early stages of the pandemic, with more significant benefits observed at shorter distances, likely due to restricted movement and access. These results underscore the importance of proximity in urban planning and environmental improvement initiatives aimed at enhancing maternal and child health. Key messages • Urban green spaces significantly enhance maternal sleep quality one year postpartum in the early stages of the pandemic, highlighting the importance of proximity for health benefits. • As the radius of green spaces decreased, their positive impact on maternal sleep quality during the early pandemic intensified, underscoring the need for adaptive urban planning strategies.

Implementing a prenatal health screening intervention for future fathers in Montreuil, France: most users are immigrants facing hardship

BackgroundPrenatal care provides pregnant women with repeated opportunities for prevention, screening and diagnosis that have no current extension to future fathers. It also contributes to women’s general better access to health. The goal of PARTAGE study was to evaluate the level and determinants of adherence to a prenatal prevention consultation dedicated to men.MethodsBetween January 2021 and April 2022, we conducted a monocentric interventional study in Montreuil hospital. We assessed the acceptance of a prenatal prevention consultation newly offered to every future father, through their pregnant partner’s prior consent to provide their contact details.ResultsThree thousand thirty-eight women provided contact information used to reach the fathers; effective contact was established with 2,516 men, of whom 1,333 (53%) came for prenatal prevention consultation. Immigrant men were more likely to come than French-born men (56% versus 49%, p < 0·001), and the more they faced social hardship, the more likely they were to accept the offer. In multivariate analysis, men born in Subsaharan Africa and Asia were twice as likely to attend the consultation as those born in Europe or North America.ConclusionAcceptance of this new offer was high. Moreover, this consultation was perceived by vulnerable immigrant men as an opportunity to integrate a healthcare system they would have otherwise remained deprived of.Trial registrationRegistry: ClinicalTrials.gov, US National Library of Medicine https://classic.clinicaltrials.gov/ct2/show/NCT05085717Clinical Trial number: NCT05085717.Date of registration: 20/10/2021.

Effects of the Prenatal Maternal Health Status on Calf Disease Prevalences and Respective Genetic Parameter Estimates in German Holstein Cattle.

The aim of the present study was to infer phenotypic responses and genetic parameters of the F1 calf diseases diarrhoea (DIAR) and pneumonia (PNEU) in dependency of the prenatal maternal health status (PMHS) of the dam and of the herd-calving year. The PMHS considered diagnoses for the cow disease mastitis (MAST) and claw disorders (CD) during gestation of F0 dams. Furthermore, 305-d milk production traits of F1 offspring from either healthy or diseased dam groups were compared. The study comprised 20,045 female calves (F1 = generation 1) and their corresponding dams (F0 = parental generation 0), kept in 41 large-scale herds. All F1 calves were from their dams' 2nd parity, implying that all dam (maternal) diseases were recorded during the first lactation and dry period of the dams. The F1 calves were phenotyped for DIAR up to 30 days post-partum, and for PNEU up to 180 days of age. At least one entry for the respective disease implied a score = 1 = sick, otherwise, a score = 0 = healthy, was assigned. Production records of the 10,129 F1 cows comprised 305-d records in first lactation for milk yield (MY), protein yield (PY) and fat yield (FY). Linear and generalised linear mixed models were applied to infer phenotypic responses of F1 traits in dependency of the PMHS for CD and MAST. A diagnosis for MAST or CD in F0 cows during gestation was significantly (p ≤ 0.05) associated with an increased prevalence for DIAR and PNEU, with pairwise differences of least-squares-means between calves from healthy and diseased cow groups up to 3.61%. The effects of PMHS on 305-d production traits in offspring were non-significant (p > 0.05). In bivariate genetic analyses, DIAR and PNEU were defined as different traits according to the PMHS, i.e., DIAR-MASThealthy and DIAR-MASTdiseased, DIAR-CDhealthy and DIAR-CDdiseased, PNEU-MASThealthy and PNEU-MASTdiseased, and PNEU-CDhealthy and PNEU-CDdiseased. The direct heritabilities for DIAR and PNEU were quite similar in the healthy and respective diseased dam group. Slightly larger direct heritabilities in the diseased dam groups were due to increased genetic variances. Maternal heritabilities were quite stable and smaller than the direct heritabilities. In random regression models, genetic parameters for DIAR and PNEU were estimated along the continuous herd-calving-year prevalence scale, considering a prevalence for MAST and CD (based on the 20,045 dam records plus 16,193 herd contemporary records) in the range from 0% to 30%. Direct heritabilities for PNEU were quite stable along the herd-calving-year gradient for MAST and CD. For DIAR, we observed stronger estimate fluctuations, especially increasing direct heritabilities in dependency of the herd-calving-year prevalence for MAST from 0.13 (at a MAST prevalence of 0%) to 0.30 (at a MAST prevalence of 30%). Consequently, obvious genotype x herd-calving-year PMHS interactions were observed for DIAR on the prenatal MAST scale, with a minimal correlation of 0.48 between direct genetic effects at 0% MAST prevalence and at 30% MAST prevalence. The correlations between direct genetic and maternal genetic effects were antagonistic at all herd-calving-year prevalence levels, displaying strongest fluctuations for "DIAR-MAST." The genotype x herd-calving-year PMHS interactions for DIAR suggest consideration of specific sires according to the herd health status for CD and for MAST.

Pregnancy and nutrition: a comprehensive review

Nutrition plays a critical role in ensuring a healthy pregnancy and optimizing outcomes for both the mother and the foetus. This review explores key aspects of pregnancy nutrition, including the importance of essential nutrients such as folic acid, iron, calcium, and omega-3 fatty acids. It examines the impact of maternal dietary patterns on fetal development and highlights the role of specific dietary interventions in managing conditions like gestational diabetes. The review also addresses the importance of nutritional supplements and food safety practices to prevent foodborne illnesses. Additionally, cultural and socioeconomic factors influencing prenatal nutrition are discussed, along with the significance of hydration and the effects of maternal weight on pregnancy outcomes. By integrating current research and guidelines, this review aims to provide a comprehensive understanding of how nutrition affects pregnancy and offers insights for improving prenatal care and health outcomes.

Environmental Health Attitudes, Practices, and Educational Preferences: A National Survey of Reproductive-Aged Women in Canada

Prenatal exposures to environmental toxicants can adversely affect fetal and child development and lead to increased risk of chronic disease. While regulatory action is essential to reduce sources of environmental toxicants, prenatal care presents an opportunity to educate, mobilize, and support prospective parents to reduce exposures to such hazards. As the first phase of an interdisciplinary research collaboration to inform the development of prenatal environmental health education strategy in Canada, we surveyed reproductive-aged female individuals. The online survey (July–September 2021) yielded a nationally representative sample of 1914 reproductive-aged females living in Canada. The questionnaire topics addressed the respondents’ knowledge and perceptions of environmental health risks, preventive actions and related facilitators and barriers, information sources and preferences, reproductive history, and demographics. The analysis included bivariate and multivariate techniques. Our results suggest broad awareness among reproductive-aged females that exposure to toxicants can be harmful, and that reducing prenatal exposures can benefit child health. However, fewer than half of respondents felt that they had enough knowledge to take protective measures. Despite high levels of preference for prenatal care as an ideal context for learning about environmental health risks and protective measures, fewer than one in four respondents had ever discussed environmental health concerns with a healthcare provider. Our findings reveal a knowledge–action gap and a corresponding opportunity to improve environmental health education and advocacy in prenatal care in the Canadian context.

Digital Health as a Mechanism to Reduce Neonatal Intensive Care Unit Admissions: Retrospective Cohort Study.

Admission to the neonatal intensive care unit (NICU) is costly and has been associated with financial and emotional stress among families. Digital health may be well equipped to impact modifiable health factors that contribute to NICU admission rates. The aim of the study is to investigate how the use of a comprehensive prenatal digital health platform is associated with gestational age at birth and mechanisms to reduce the risk of admission to the NICU. Data were extracted from 3326 users who enrolled in a comprehensive digital health platform between January 2020 and May 2022. Multivariable linear and logistic regression models were used to estimate the associations between hours of digital health use and (1) gestational age at birth and (2) mechanisms to reduce the risk of a NICU admission. Multivariable logistic regression models estimated the associations between (1) gestational age at birth and (2) mechanisms to reduce the risk of a NICU admission and the likelihood of a NICU admission. All analyses were stratified by the presence of any gestational conditions during pregnancy. For users both with and without gestational conditions, hours of digital health use were positively associated with gestational age at birth (in weeks; with gestational conditions: β=.01; 95% CI 0.0006-0.02; P=.04 and without gestational conditions: β=.01; 95% CI 0.0006-0.02; P=.04) and mechanisms that have the potential to reduce risk of a NICU admission, including learning medically accurate information (with gestational conditions: adjusted odds ratio [AOR] 1.05, 95% CI 1.03-1.07; P<.001 and without gestational conditions: AOR 1.04, 95% CI 1.02-1.06; P<.001), mental health management (with gestational conditions: AOR 1.06, 95% CI 1.04-1.08; P<.001 and without gestational conditions: AOR 1.03, 95% CI 1.02-1.05; P<.001), and understanding warning signs during pregnancy (with gestational conditions: AOR 1.08, 95% CI 1.06-1.11; P<.001 and without gestational conditions: AOR 1.09, 95% CI 1.07-1.11; P<.001). For users with and without gestational conditions, an increase in gestational age at birth was associated with a decreased likelihood of NICU admission (with gestational conditions: AOR 0.62, 95% CI 0.55-0.69; P<.001 and without gestational conditions: AOR 0.59, 95% CI 0.53-0.65; P<.001). Among users who developed gestational conditions, those who reported that the platform helped them understand warning signs during pregnancy had lower odds of a NICU admission (AOR 0.63, 95% CI 0.45-0.89; P=.01). Digital health use may aid in extending gestational age at birth and reduce the risk of NICU admission.

Perinatal and Demographic Risk Factors Associated with Autism Spectrum Disorder: A National Survey of Potential Predictors and Severity.

INTRODUCTION: This study investigates autism spectrum disorders (ASD) in Greece, focusing on estimating prevalence and identifying regional disparities in children aged 4 to 7 years. MATERIALS AND METHODS: Utilizing a quantitative, descriptive, and exploratory methodology, the research employed a structured questionnaire to gather extensive maternal and child health data. RESULTS: The sample consisted of 517 mothers of children diagnosed with ASD from all over Greece, contributing to a nuanced understanding of ASD predictors. This study aims to elucidate the role of prenatal factors in the likelihood of an ASD diagnosis and their impact on the subsequent functionality of children with ASD. The study identified significant predictors of lower functionality in children with ASD, including higher maternal age, delayed ASD diagnosis, lower family income, and higher birth order. Prenatal health issues, such as vaginal bleeding and infections, also influenced functional outcomes. Notably, a family history of neurological or psychiatric conditions appeared protective. DISCUSSION: The regression model demonstrated robust predictive power, underscoring the complexity of genetic, environmental, and socioeconomic factors in ASD development. The findings advocate for early diagnosis and intervention, systematic screening, and addressing socioeconomic disparities to improve functional outcomes. The results support evidence-based service development and policy adjustments to enhance early identification, intervention, and rehabilitation for children with ASD. CONCLUSIONS: Establishing standardized case-recording procedures and an ASD register at national and regional levels is recommended for systematic monitoring and resource evaluation.

Time series analysis of comprehensive maternal deaths in Brazil during the COVID-19 pandemic

The effects of the COVID-19 pandemic on comprehensive maternal deaths in Brazil have not been fully explored. Using publicly available data from the Brazilian Mortality Information (SIM) and Information System on Live Births (SINASC) databases, we used two complementary forecasting models to predict estimates of maternal mortality ratios using maternal deaths (MMR) and comprehensive maternal deaths (MMRc) in the years 2020 and 2021 based on data from 2008 to 2019. We calculated national and regional standardized mortality ratio estimates for maternal deaths (SMR) and comprehensive maternal deaths (SMRc) for 2020 and 2021. The observed MMRc in 2021 was more than double the predicted MMRc based on the Holt-Winters and autoregressive integrated moving average models (127.12 versus 60.89 and 59.12 per 100,000 live births, respectively). We found persisting sub-national variation in comprehensive maternal mortality: SMRc ranged from 1.74 (95% confidence interval [CI] 1.64, 1.86) in the Northeast to 2.70 (95% CI 2.45, 2.96) in the South in 2021. The observed national estimates for comprehensive maternal deaths in 2021 were the highest in Brazil in the past three decades. Increased resources for prenatal care, maternal health, and postpartum care may be needed to reverse the national trend in comprehensive maternal deaths.

Determination of the Internet Decision-Making Status of Risky and Non-Risky Pregnant Women

Objective: This study was conducted to evaluate the Internet decision-making status of risky and non-risky pregnant women. Method: The research employed an analytical and case-control design. The sample of the study consisted of 214 pregnant women, including 107 in the risky group and 107 in the non-risky group, who applied to the Obstetrics and Gynecology Outpatient Clinic. In the study, the data were collected using The Introductory Information Form and The Internet Decision-Making Scale in Pregnancy (IDMSP) through face-to-face interviews. In the evaluation of the data, Chi-square test, Independent Samples t-Test and Mann Whitney U test were used in addition to descriptive statistics. Results: The mean age of the pregnant women participating in the study was 28.08 ± 6.37 years. It was determined that 56.1% of the pregnant women who participated in the study met their need for information on the Internet, 46.7% checked the blog pages of the doctors while searching on the Internet to receive information about pregnancy, and 49.1% mostly used the Internet for searching about the prenatal development and health of the baby. The overall mean score of the pregnant women at risk obtained from the IDMSP was significantly higher compared to those in the non-risky group (p=0.002). Conclusion: The Internet decision-making status of risky pregnant women has been found to be higher compared to non-risky pregnant women. Accordingly, midwives and nurses should inform pregnant women that information on the Internet is not always safe, and it is important to consult healthcare professionals when making a decision regarding pregnancy.

Investigating Exposure and Hazards of Micro- and Nanoplastics During Pregnancy and Early Life (AURORA Project): Protocol for an Interdisciplinary Study.

Micro- and nanoplastics (MNPs) are emerging pollutants of concern with ubiquitous presence in global ecosystems. MNPs pose potential implications for human health; however, the health impacts of MNP exposures are not yet understood. Recent evidence suggests that MNPs can cross the placental barrier, underlying the urgent need to understand their impact on reproductive health and development. The Actionable eUropean ROadmap for early-life health Risk Assessment of micro- and nanoplastics (AURORA) project will investigate MNP exposures and their biological and health effects during pregnancy and early life, which are critical periods due to heightened vulnerability to environmental stressors. The AURORA project will enhance exposure assessment capabilities for measuring MNPs, MNP-associated chemicals, and plastic additives in human tissues, including placenta and blood. In this interdisciplinary project, we will advance methods for in-depth characterization and scalable chemical analytical strategies, enabling high-resolution and large-scale toxicological, exposure assessment, and epidemiological studies. The AURORA project performs observational studies to investigate determinants and health impacts of MNPs by including 800 mother-child pairs from 2 existing birth cohorts and 110 women of reproductive age from a newly established cohort. This will be complemented by toxicological studies using a tiered-testing approach and epidemiological investigations to evaluate associations between maternal and prenatal MNP exposures and health perturbations, such as placental function, immune-inflammatory responses, oxidative stress, accelerated aging, endocrine disruption, and child growth and development. The ultimate goal of the AURORA project is to create an MNP risk assessment framework and identify the remaining knowledge gaps and priorities needed to comprehensively assess the impact of MNPs on early-life health. In the first 3 years of this 5-year project (2021-2026), progress was made toward all objectives. This includes completion of recruitment and data collection for new and existing cohorts, development of analytical methodological protocols, and initiation of the toxicological tiered assessments. As of September 2024, data analysis is ongoing and results are expected to be published starting in 2025. As plastic pollution increases globally, it is imperative to understand the impact of MNPs on human health, particularly during vulnerable developmental stages such as early life. The contributions of the AURORA project will inform future risk assessment. DERR1-10.2196/63176.

Welcoming pregnant women as a strategy for adherence to dental prenatal care and health promotion in early childhood

This research deals with implementing Dental Prenatal Care as a public policy in the Brazilian Unified Health System (SUS) to care for pregnant women and their future babies. The legal framework that assures pregnant women's rights of priority in accessing services is usually not enough to guarantee the health promotion coverage goals for this population group, who frequently have low adherence to dental care. Brazilian Unified Healthcare System (SUS) recommends monitoring pregnant women through eight mensal consultations during healthy pregnancy. Oral health is usually not monitored to the same extent, and many pregnant women still go through pregnancy without any dental consultation. This study was proposed to improve dental prenatal care and program adherence by mothers and children in the Basic Healthcare Unit Amaro José de Souza, in the municipality of Barueri, through the increased participation of the dental surgeon in the pregnant women welcoming team. A cross-sectional cohort study was designed to identify and meet the demands of low-risk pregnant women. For six months, all the women attending prenatal care at BHU Amaro José de Souza in Barueri were invited to participate and receive personal guidance from the multi-professional team. Information on dental health was investigated through questions targeting previous knowledge about the recommended moments for the first dental appointment of a child, the importance of exclusive nasal respiration, the identification of craniofacial asymmetries at birth, and general baby care. Attitudes and self-care were also investigated, including prenatal program adherence. Answers were collected in a Google Form platform and analyzed to characterize the group's literacy about prenatal care and breastfeeding and identify information needs about dental health care during pregnancy. At the same time, a welcoming expanded listening, educational, and preventive health action was developed: conversation and sharing experience groups were promoted monthly for pregnant women, breastfeeding mothers, and their families. 90 pregnant women out of the 104 attending the BHU in the six months of the research were invited, and 83 agreed to participate. All the participants declared at least one previous appointment with the healthcare team, 92.8 % of them, with a gynecologist. The nursing team was involved in 53.0 % of the appointments, but only 6.0 % were reported to have been conducted exclusively by a nurse. A dental surgeon appointment was mentioned by 30.1 % of the research participants. The dental health literacy investigation revealed that 57.8 % believed they should only take their babies to a dental appointment after teething, and 27.7 % were aware of the child's craniofacial asymmetries at birth. Only 28.9 % had previous knowledge about the importance of exclusive nasal respiration. Despite only 34.9 % having their first pregnancy, 78.3 % declared they would appreciate receiving information about pregnancy. After the guidance, 72.0 % of the pregnant women had undergone dental prenatal care. Workshops for pregnant women and breastfeeding mothers provided a convenient welcoming space, to listen and provide guidance to pregnant women and their families, in addition to demystifying the fear of dental care during pregnancy and breastfeeding. The intervention to guide pregnant women to perceive the BHU as an educational and health promotion space, not just a curative intervention, effectively increased adherence to dental prenatal care. The contact with the Specialist in Functional Jaw Orthopedics in this first phase of life facilitated dental health education and access to more complex cases. The prenatal program adherence, the pregnant woman’s self-care, and the care of the baby were favored by the welcoming, expanded listening, and personalized service.

Racial Residential Segregation and Mental Health During Pregnancy

Research suggests the social, physical, and socioeconomic contexts of residing in segregated neighborhoods may negatively affect mental health. To assess the association between racial residential segregation and prenatal mental health among Asian, Black, Hispanic, and White individuals. This population-based cross-sectional study was conducted in Kaiser Permanente Northern California (KPNC), an integrated health care delivery system. Participants included self-identified Asian, Black, Hispanic, and White pregnant individuals who attended at least 1 prenatal care visit at KPNC between January 1, 2014, and December 31, 2019. Data were analyzed from January 14, 2023, to August 15, 2024. Racial residential segregation, defined by the local Getis-Ord Gi* statistic, was calculated in each racial and ethnic group and categorized as low (<0), medium (0-1.96), or high (>1.96). A positive Gi* statistic indicates overrepresentation (greater clustering or segregation) of the racial and ethnic group in an index census tract and neighboring tracts compared with the larger surrounding geographic area. Prenatal depression and anxiety defined by diagnoses codes documented in the electronic health record between the first day of the last menstrual period and the day prior to birth. Among the 201 115 participants included in the analysis (mean [SD] age, 30.8 [5.3] years; 26.8% Asian, 6.6% Black, 28.0% Hispanic, and 38.6% White), prenatal depression and anxiety were highest in Black individuals (18.3% and 18.4%, respectively), followed by White (16.0% and 18.2%, respectively), Hispanic (13.0% and 14.4%, respectively), and Asian (5.7% and 6.4%, respectively) individuals. Asian (40.8% vs 31.1%) and Black (43.3% vs 22.6%) individuals were more likely to live in neighborhoods with high vs low segregation, while Hispanic individuals were equally likely (34.3% vs 34.7%). High compared with low segregation was associated with greater odds of prenatal depression (adjusted odds ratio [AOR], 1.25 [95% CI, 1.10-1.42]) and anxiety (AOR, 1.14 [95% CI, 1.00-1.29]) among Black individuals. High segregation was associated with lower odds of prenatal depression among Asian (AOR, 0.75 [95% CI, 0.69-0.82]), Hispanic (AOR, 0.88 [95% CI, 0.82-0.94]), and White (AOR, 0.91 [95% CI, 0.86-0.96]) individuals. Similar associations were found for anxiety among Asian (AOR, 0.80 [95% CI, 0.73-0.87]) and Hispanic (AOR, 0.88 [95% CI, 0.82-0.93]) but not White (AOR, 0.95 [95% CI, 0.90-1.00]) individuals. In this cross-sectional study, racial and ethnic residential segregation was associated with worse prenatal mental health for Black individuals but better mental health for Asian, Hispanic, and White individuals. Policies reducing segregation and its impact may improve mental health outcomes in pregnant Black individuals.

Measurement of emerging neurocognitive and language skills in the HEALthy Brain and Child Development (HBCD) study

The HEALthy Brain and Child Development (HBCD) study, a multi-site prospective longitudinal cohort study, will examine human brain, cognitive, behavioral, social, and emotional development beginning prenatally and planned through early childhood. The study plans enrolling over 7000 families across 27 sites. This manuscript presents the measures from the Neurocognition and Language Workgroup. Constructs were selected for their importance in normative development, evidence for altered trajectories associated with environmental influences, and predictive validity for child outcomes. Evaluation of measures considered psychometric properties, brevity, and developmental and cultural appropriateness. Both performance measures and caregiver report were used wherever possible. A balance of norm-referenced global measures of development (e.g., Bayley Scales of Infant Development-4) and more specific laboratory measures (e.g., deferred imitation) are included in the HBCD study battery. Domains of assessment include sensory processing, visual-spatial reasoning, expressive and receptive language, executive function, memory, numeracy, adaptive behavior, and neuromotor. Strategies for staff training and quality control procedures, as well as anticipated measures to be added as the cohort ages, are reviewed. The HBCD study presents a unique opportunity to examine early brain and neurodevelopment in young children through a lens that accounts for prenatal exposures, health and socio-economic disparities.