Maternal Monitoring Research Articles

The Impact of Parental Monitoring on Exposure to Multiple Substances and Bullying in Croatian Students

Background/Objectives: Adolescence is a critical period for experimenting with a wide range of risky behaviors, which are often influenced by family dynamics, including parental monitoring. This study aims to analyze the patterns of exposure to multiple substances and bullying among Croatian students by age and gender in 2022 and examine the association of exposure to multiple substances and bullying with maternal and paternal monitoring. Methods: The data were obtained from the 2022 Health Behaviour in School-aged Children (HBSC) study conducted in Croatia among students aged 11, 13, and 15. Two multinomial logistic regressions were performed separately by age and gender. Results: Exposure to multiple instances of bullying is more common among boys than girls in all three age groups, while exposure to multiple substances varies depending on age. The analysis revealed the strong protective effect of maternal monitoring against both substance use and bullying. Paternal monitoring showed less consistent effects but still indicated that lower paternal monitoring was associated with higher exposure to multiple substances and bullying, particularly at age 13. Conclusions: The patterns of multiple substance use and bullying vary by gender and age, emphasizing the need for tailored intervention strategies. Programs that strengthen parental monitoring, particularly maternal monitoring, should be prioritized.

Characterizing the Metabolism of Tire Rubber-Derived p-Phenylenediamine Quinones to Identify Potential Exposure Biomarkers in Humans.

There is growing evidence of the frequent detection of tire rubber-derived contaminants p-phenylenediamine-derived quinones (PPD-Qs) (e.g., highly toxic N-(1,3-dimethylbutyl)-N'-phenyl-p-phenylenediamine quinone (6PPD-Q)) in the environment and biota and the adverse impact on organisms. Hence, a better understanding of their biotransformation/metabolism in humans is essential. However, relevant data are lacking owing to recent discoveries. Herein, the biotransformation patterns of 6PPD-Q and other five commonly detected PPD-Qs were characterized via combined in vitro assay and maternal cord blood screening monitoring. Rapid metabolism was found for each PPD-Q incubated with human liver S9 fraction and microsomes, resulting in the formation of abundant phase I and phase II metabolites. The subsequent screening for potential PPD-Q metabolites in blood samples showed the presence of suspect metabolites. Three detected metabolites were confirmed by matching the mass spectra and retention times of in vitro metabolites. N-Dealkylated, carboxy, carbonyl, and reductive metabolites and glucose, cysteine, and methionine conjugates were observed for the first time. The semiquantitative concentrations of metabolites were higher than those of the parent PPD-Qs, and several metabolites such as carboxy products were proposed as candidate biomarkers of PPD-Q exposure to humans. 6PPD-Q and N,N'-diphenyl-p-phenylenediamine quinone were detected in maternal and/or cord whole blood samples for the first time. This study holds great importance in elucidating the potential risks and health effects of PPD-Qs.

Maternal Immune Thrombocytopenic Purpura Leading to Severe Neonatal Autoimmune Thrombocytopenia: Report of Two Cases

Introduction: In neonatal intensive care units, neonatal thrombocytopenia is one of the common hematological abnormality seen. Neonatal autoimmune thrombocytopenia should be considered in any neonate who is born to a known case of immune thrombocytopenia purpura (ITP) mother, with early onset thrombocytopenia without any signs of sepsis. Neonatal ITP is a condition of autoantibody mediated platelet destruction. Case details: Two neonates with thrombocytopenia, born to mothers with ITP are described in this report. Lowest platelet count noted was 7000 cells/cmm in one of the neonate. Both neonates received intra venous immunoglobulin (IVIG) while one neonate had persistent and severe thrombocytopenia requiring multiple random donor platelet (RDP) transfusions followed by oral steroid as well. Conclusion: Neonatal thrombocytopenia associated with maternal ITP need close monitoring, early sampling and diagnosis to prevent any possible complications and warrant early initiation of treatment.

Maternal Nutrition and Human Milk Nutrients

Abstract Purpose: To explore the influence of maternal nutrition factors, including body mass index, nutritional supplementation, and dietary intake during the breastfeeding period, on macro and micronutrient composition in human milk. Study Design and Methods: We conducted a scoping review using the PRISMA-ScR checklist, initially identifying 5,984 original studies published in the English language from PubMed, Scopus, and Web of Science that presented findings on the association of maternal nutritional factors on human milk nutrient composition. After screening the title and abstract, we selected 69 studies for full review, including 3 studies found through checking reference lists. After full review, we included 23 studies in this scoping review. Results: Most studies found maternal body mass index and supplement consumption affected human milk macro and micronutrient composition, whereas inconsistent results were found on the relationship between maternal diet and human milk nutrients. Methodologies varied substantially across studies, especially for milk sample collection methods and maternal nutrition assessments. Clinical implications: Maternal nutrition factors may affect levels of human milk nutrients, requiring maternal nutrition monitoring during breastfeeding. However, given the considerable variability in the results between studies and methodological approaches, further studies should use standardized and validated procedures to strengthen the findings on this topic.

Post Natal Mothers Satisfied and Happy with the Outcomes of their Deliveries after Individualized Precision Maternal Monitoring using 3D-Printing Technology in a Maternity Unit in the Developing World - A Case Study of Jaramogi Oginga Odinga Teaching and Referral Hospital in Western Kenya

Background: In the low and middle income countries’ healthcare system for medicine and surgery training and service provision, the use of computing technologies would be of great help in creating faster and transformational solutions by creating software applications and hardware fabrications for faster diagnosis, which are absent currently, hence leading to efficient treatment interventions in the developing world. Objective: The objective of this study was to assess the potential of using computing innovation of 3-D printing technology in producing medical solutions using 3-D printing of fetoscopes to solve the challenge of the frequency of monitoring fetal heart rates in the maternity department. Methodology: A randomized case-control study was used to analyze the impact of having one fetoscope per mother on shortening the frequency of monitoring of fetal heart rates and promptly intervening in case of non-reassuring fetal status. This was done by 3-D printing fetoscopes increasing the numbers at the Maternity department of Jaramogi Oginga Odinga Teaching and Referral Hospital. Findings: The frequency of monitoring heart rates increased to hourly instead of 3 hourly in 24 hours, leading to timely interventions, as compared to previous days when there was only one fetoscope serving the whole unit. Mothers with a 3-D printed Fetoscope reported a lower proportion of emergency caesarean section done compared to mothers who were sharing a 3-D printed Fetoscope (13% vs. 38%, p = 0.021). No fetal death was reported among mothers with a 3-D printed Fetoscope each, while maternal satisfaction was higher among mothers with a 3-D printed Fetoscope as compared to those who were sharing (94% vs. 63%, p = 0.002). Conclusion: We concluded that computing technology is useful in designing and fabricating medical equipment and parts, which help save lives in the maternity, emergency room and the operating room in low and middle income countries.

Preterm birth risk stratification through longitudinal heart rate and HRV monitoring in daily life

Preterm birth (PTB) remains a global health concern, impacting neonatal mortality and lifelong health consequences. Traditional methods for estimating PTB rely on electronic health records or biomedical signals, limited to short-term assessments in clinical settings. Recent studies have leveraged wearable technologies for in-home maternal health monitoring, offering continuous assessment of maternal autonomic nervous system (ANS) activity and facilitating the exploration of PTB risk. In this paper, we conduct a longitudinal study to assess the risk of PTB by examining maternal ANS activity through heart rate (HR) and heart rate variability (HRV). To achieve this, we collect long-term raw photoplethysmogram (PPG) signals from 58 pregnant women (including seven preterm cases) from gestational weeks 12–15 to three months post-delivery using smartwatches in daily life settings. We employ a PPG processing pipeline to accurately extract HR and HRV, and an autoencoder machine learning model with SHAP analysis to generate explainable abnormality scores indicative of PTB risk. Our results reveal distinctive patterns in PTB abnormality scores during the second pregnancy trimester, indicating the potential for early PTB risk estimation. Moreover, we find that HR, average of interbeat intervals (AVNN), SD1SD2 ratio, and standard deviation of interbeat intervals (SDNN) emerge as significant PTB indicators.

Multifractal analysis of heart rate variability in pregnancy during sleep.

Understanding the complex dynamics of heart rate variability (HRV) during pregnancy is crucial for monitoring both maternal well-being and fetal health. In this study, we use the Multifractal Detrended Fluctuations Analysis approach to investigate HRV patterns in pregnant individuals during sleep based on RR interval maxima (MM fluctuations). In addition, we study the type of multifractality within MM fluctuations, that is, if it arises from a broad probability density function or from varying long-range correlations. Furthermore, to provide a comprehensive view of HRV changes during sleep in pregnancy, classical temporal and spectral HRV indices were calculated at quarterly intervals during sleep. Our study population consists of 21 recordings from nonpregnant women, 18 from the first trimester (early-pregnancy) and 18 from the second trimester (middle-pregnancy) of pregnancy. Results. There are statistically significant differences ( -value < 0.05) in mean heart rate, rms heart rate, mean MM fluctuations, and standard deviation of MM fluctuations, particularly in the third and fourth quarter of sleep between pregnant and non-pregnant states. In addition, the early-pregnancy group shows significant differences ( -value < 0.05) in spectral indices during the first and fourth quarter of sleep compared to the non-pregnancy group. Furthermore, the results of our research show striking similarities in the average multifractal structure of MM fluctuations between pregnant and non-pregnant states during normal sleep. These results highlight the influence of different long-range correlations within the MM fluctuations, which could be primarily associated with the emergence of sleep cycles on multifractality during sleep. Finally, we performed a separability analysis between groups using temporal and spectral HRV indices as features per sleep quarter. Employing only three features after Principal Component Analysis (PCA) to the original feature set, achieving complete separability among all groups appears feasible. Using multifractal analysis, our study provides a comprehensive understanding of the complex HRV patterns during pregnancy, which holds promise for maternal and fetal health monitoring. The separability analysis also provides valuable insights into the potential for group differentiation using simple measures such as mean heart rate, rms heart rate, and mean MM fluctuations or in the transformed feature space based on PCA.

The reduction in macrosomia prevalence over a decade following the intensive intervention programs

ObjectiveTo assess changes in macrosomia prevalence following a two-stage lifestyle intervention program. MethodsThe study collected annual delivery data from singleton pregnant women at the Beijing Obstetrics and Gynecology Hospital in Beijing, China (2014–2023). The first intervention stage involved nutritional assessment and lifestyle management in pregnancy, and maternal weight and fetal growth monitoring were added in the second stage, with intensive management as necessary. Pre-intervention births (2014–2016) served as controls. The change in macrosomia and low birth weight prevalence following the intervention was assessed by an interrupted time series analysis. ResultsAmong 126,824 pregnant women, macrosomia prevalence decreased from 7.11 % to 4.15 % over ten years, with an accelerated decrease post-intervention (p for slope = 0.050 and 0.004 for the first and second stages), primarily contributed by the reduction in excessive gestational weight gain (adjusted population attributable risk = 28.6 %, p for Granger cause = 0.0001). The change in the increasing rate of low-birth-weight prevalence was non-significant. ConclusionsMacrosomia prevalence significantly decreased over a decade following the intensive intervention programs.

Processes underlying Mexican adolescents' sexual behaviors and intentions: Examining the roles of familial cultural values and parental monitoring.

The study examined the associations between familial cultural values of familismo (familism) and respeto (respect), parental monitoring, and Mexican adolescents' sexual behaviors. The sample consisted of 1,024 Mexican adolescents (12-18 years) from two urban schools in Puebla, Mexico. Findings indicated that respeto was associated with paternal and maternal monitoring, sexual responsibility, sexual intention, and sexual behavior. Further, through indirect effects, among males, respeto was associated with paternal monitoring, which was, in turn, associated with sexual intentions. Findings highlight the relevance of caregivers and cultural values in Mexican adolescents' sexual health. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Effectiveness of Hae-Band in Measuring Hb Levels in Postpartum Hemorrhage Risk Monitoring

Postpartum hemorrhage is the main cause of high morbidity in the world (75%). Until now, efforts to early detect the risk of postpartum hemorrhage have still not been maximized. Sensor-based smartband can be the development of non-invasive methods in an effort to early detection of declining Hb levels in monitoring the risk of bleeding with practical, fast, precise, accurate, and practical. This research aims to determine the effectiveness of developing and analyzing the effectiveness of the "Hae-band" smartband in monitoring the risk of postpartum hemorrhage. The research method used is Research and Development (R&amp;D), a quasi-experimental one-group pretest-posttest design using a nonequivalent dependent variable. The sampling technique in this research uses non-probability sampling with purposive sampling type. Respondents were selected by purposive sampling with a sample of 35 respondents maternity up to 6 hours postpartum to measure Hb levels and analyze the average levels of Hb and declining levels of HB Hae-band, HB meter POCT and visual estimation of blood loss volume compared with HB meter POCT (gold standard). Data analysis using the descriptive test, validation test, Paired T-Test, Independent T-Test, and multiple linear regression. The research results show that the Hae-band has been developed and is feasible as a measure of Hb levels which has a sensitivity of truth tool as much as 70.0% and can detect a decrease in Hb levels as much as 63.9% (p=0.000) more partially effective than visual estimation (0.24%) Smartband can detect Hb levels with good results compared to the gold standard of blood tests with a difference of 0.324 g/dL (p.0.113) with an average Hb levels at 6 hours PP at 11.19 g/dL compared to the average POCT 11.34 g/dL. This research concludes that Hae-band is more effective in detecting postpartum hemorrhage risk than visual estimation. It is hoped that further research can develop a more modern design where the sensor is more comfortable to use for long periods and has an alternative way of reading the sensor other than on the wrist. Improving accuracy, sensitivity, and higher battery power by improving the type of design, sensor, and wave type to be more suitable for measuring Hb levels can also be developed considering the efficiency of maternal monitoring and recording in the era of digitalization in early detection of bleeding risk.

Harmonizing Motherhood: Navigating Pregnancy Outcomes in Connective Tissue Disorders.

Background Connective tissue disorders encompass a diverse array of autoimmune and hereditary conditions, including systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), and antiphospholipid antibody syndrome. These disorders present unique challenges during pregnancy due to their complex pathophysiology and potential complications. Understanding their impact on pregnancy outcomes is vital for optimizing maternal and fetal health. Objective To investigate the burden, complications, maternal and fetal outcomes, and prognosis of connective tissue disorders in pregnancy. Methods The study was conducted over one year and six months at Saveetha Medical College and Hospital, Chennai, India, involving 45 pregnant women diagnosed with connective tissue disorders. Standard antenatal investigations were conducted, and participants were monitored throughout the antenatal period. Maternal and fetal outcomes were meticulously evaluated. Results Baseline characteristics revealed a heterogeneous distribution of age and parity among participants, reflecting the diverse nature of connective tissue disorders in pregnancy. Maternal medical outcomes, such as gestational hypertension (GHTN) and gestational diabetes mellitus (GDM), were prevalent, highlighting the necessity of close monitoring. Obstetric outcomes included spontaneous abortion and preterm delivery, indicating elevated risks in this population. Fetal outcomes, including fetal growth restriction and admission to the neonatal intensive care unit, underscored the impact of these disorders on fetal health. Conclusion This study examines pregnant connective tissue disorder burden, complications, maternal and fetal outcomes, and prognosis. The complicated relationship between these illnesses, and pregnancy requires specialist care and close monitoring. The participants' baseline features represent connective tissue condition heterogeneity, affecting clinical practice. Among the study subjects, 40% had RA and 20% had SLE, the most common connective tissue illness. Adverse maternal medical outcomes, like GHTN (27.27% of antiphospholipid syndrome (APS) patients and 22.22% of SLE patients) and GDM (18.18% of APS patients and 11.11% of SLE patients), highlight the need for close maternal health monitoring and management during pregnancy. Overall, this study sheds light on connective tissue abnormalities and pregnancy outcomes. Healthcare providers can improve reproductive health and well-being for various illnesses by knowing these relationships.

Social risk to infant: The role of kin for maternal visual monitoring in Tibetan macaques.

Maternal monitoring of conspecifics is a crucial anti-predator strategy that also protects infants against risks within the social group. This study examines how maternal characteristics, infant characteristics, mother-infant distance, and the social environment affect maternal monitoring behaviors in free-ranging Tibetan macaques (Macaca thibetana). We observed 12 females with infants and analyzed their visual monitoring patterns. Our findings indicate that maternal rank significantly influences the time allocated to maternal visual monitoring, higher-ranking mothers spending less time than lower-ranking mothers. Maternal experience also played a role in monitoring strategies. Differences in monitoring strategies were observed based on maternal experience: first-time mothers (primiparity) engaged in longer but less frequent monitoring sessions compared to experienced mothers (multiparity). The time and frequency of maternal monitoring decreased as infants aged, and mothers with male infants showed higher levels of monitoring than those with female infants. The distance between mother and infant also affected visual monitoring behavior, with mothers increasing their monitoring levels when infants were nearby (1-5 m), rather than within reach (0-1 m) or beyond nearby (>5 m). Additionally, the presence of kin and non-kin influenced monitoring: as the number of nearby kin increased, monitoring levels decreased, while the presence of more non-kin males led to an increase in monitoring time, and higher-ranking non-kin neighbors increased the frequency of monitoring. These results suggest that Tibetan macaque mothers can adapt their visual monitoring to the social risks faced by their infants, adjusting their strategies to their status and the needs of their offspring.

Metformin Plus Insulin for Preexisting Diabetes or Gestational Diabetes in Early Pregnancy: The MOMPOD Randomized Clinical Trial

(Abstracted from JAMA 2023;330(22):2182–2190) Preexisting type 2 diabetes in pregnant people increases the risk for adverse pregnancy outcomes, intrapartum complications, and neonatal hypoglycemia at birth. To achieve normal maternal glucose levels and optimize pregnancy outcomes, management includes maternal blood glucose monitoring, dietary management, and insulin therapy.

Use of a Menstrual Cup to Assist in Diagnosis of Preterm Premature Rupture of Membranes [ID 2683492

INTRODUCTION: Several methods exist for diagnosis of preterm premature rupture of membranes (PPROM), including pooling on speculum exam, nitrazine test, arborization under microscopy, immunoassay, and amnio-dye test. Diagnostic accuracy is particularly important for PPROM because a missed diagnosis may result in life-threatening maternal and fetal consequences. We present a novel method for evaluating PPROM in equivocal cases using a menstrual cup. METHODS: Written informed consent was obtained for submission of a case report. A 36-year-old G6P5005 at 29 2/7 weeks presented with leakage of fluid. She was found to have negative pooling on speculum exam, negative arborization on microscopy, a maximum vertical pocket (MVP) of 4.0 cm, and a negative urinalysis. She was discharged with precautions and returned 2 days later with persistent symptoms. Workup again showed no pooling, no arborization, and a normal MVP. The patient suggested using a menstrual cup to capture her intermittent leakage of fluid. She wore a menstrual cup for 30 minutes in triage. A sample of the fluid tested positive for arborization. She was admitted to labor and delivery for latency antibiotics, betamethasone, and fetal and maternal monitoring. CONCLUSION: Preterm premature rupture of membranes can occur without overt vaginal pooling due to small volume leakage. Conventional testing is less sensitive when pooling is absent. In these cases, a menstrual cup may help facilitate diagnosis and avoid invasive tests such as the amnio-dye test. Care must be taken to use a clean menstrual cup without gel, limit the duration of menstrual cup use to avoid infection, and to distinguish arborization of amniotic fluid from that of cervical mucus.

Centering Equity and Fostering Stakeholder Collaboration and Trust-Pillars of the Maternal Health Innovation Program in Maryland.

To describe two main pillars of the Maryland Maternal Health Innovation Program (MDMOM): (1) centering equity and (2) fostering broad stakeholder collaboration and trust. We summarized MDMOM's key activities and used severe maternal morbidity (SMM) surveillance and program monitoring data to quantify MDMOM's work on the two pillars. We developed measures of hospital engagement with MDMOM (participation in quality improvement [QI] activities, participation in check-in meetings, staff involvement) and with other partners (participation in QI activities, representation in state-level groups). We examined Bonferroni-adjusted correlations between these hospital engagement measures and with key hospital characteristics: level of maternity care, annual delivery volume, and SMM rate. Over 100 national and state organizations and individual stakeholders contributed to our building the MDMOM program and implementing key activities centering equity: hospital-based SMM surveillance in 20 of Maryland's 32 hospitals; almost 5,000 trainings offered to perinatal health care providers; two telemedicine/telehealth interventions; training of home visitors and community-based organization staff. Birthing hospitals represent MDMOM's main implementation partners. The strength of their participation in MDMOM QI activities is positively correlated to their participation in check-in meetings and with the degree of involvement by physicians in such activities. Higher engagement in MDMOM QI activities is also positively correlated to hospitals' participation in other state-level maternal health initiatives or groups. Our experience with the MDMOM program demonstrates that an equity focus and broad stakeholder collaboration building strong relationships and providing implementation support can lead to high levels of engagement in innovative maternal health interventions.

IoT-based Pregnant Mother Contraction Monitoring System Design

Pregnancy is an important stage in a woman's life that requires special monitoring and care to ensure the well-being of both mother and fetus. The presence of uterine contractions is an im-portant indicator of imminent labour, and prompt monitoring is essential to spot difficulties and ensure a safe delivery. This study aims to track contractions in pregnant women to improve pre-natal and labour care. Real-time monitoring, recording and analysis of uterine contractions. This research is a type of RD research with the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation. The result of this tool is that it can precisely track contraction activity and send information to the IoT network. Through an easy-to-use mobile app, this in-formation can be accessed by medical staff caring for pregnant women and pregnant women themselves. To provide continuous monitoring, provide early notification of alarming changes, and facilitate rapid medical response, this monitoring system utilizes IoT technology. This can ease the burden on medical institutions, lower the possibility of difficulties during labour, and provide a sense of security for pregnant women. As an innovative and effective tool, the Inter-net of Things-based Maternal Contraction Monitoring System is anticipated to improve prenatal and delivery healthcare, reduce maternal and infant mortality, and monitor contractions in preg-nant women. The healthcare of pregnant women around the world could be significantly im-proved with the successful implementation of this approach.

Prevalence and influencing factors of anemia among pregnant women across first, second and third trimesters of pregnancy in monitoring areas, from 2016 to 2020: a population-based multi-center cohort study.

To assess the prevalence of anemia among pregnant women across their entire pregnancy and the factors affecting it in the monitoring areas. A total of 108,351 pregnant women who received antenatal health care and delivered from January 1, 2016 to December 31, 2020 in 15 monitoring counties of 8 provinces in the Maternal and Newborn Health Monitoring Program (MNHMP) of National Center for Women and Children's Health (NCWCH) were selected as the study subjects. The anemia status among the subjects across their first, second and third trimester of pregnancy and the influencing factors were analyzed. From 2016 to 2020, the prevalence of anemia at any stage during pregnancy in the monitoring areas was 43.59%. The prevalence of anemia among pregnant women across all three trimesters was 3.95%, and the prevalence of mild and moderate-to-severe anemia was 1.04% and 2.90%, respectively. Protective factors were living in the northern area (OR = 0.395) and being a member of an ethnic minority (OR = 0.632). The risk factors were residing in rural areas (OR = 1.207), with no more than junior high school education (OR = 1.203), having ≥ 3 gravidities (OR = 1.195) and multiple fetuses (OR = 1.478). Although the prevalence of anemia among pregnant women across all trimesters in the monitoring area was low, the severity of anemia was high. Since the prevalence of anemia among pregnant women across their entire pregnancy in the monitoring area is affected by many different factors, more attention should be paid to pregnant women living in rural areas, with low literacy, ≥ 3 gravidities and multiple fetuses for early intervention.

How maternal and paternal parenting behaviors predict developmental changes in self-control and deviance during early adolescence

PurposeThe present study tested the pattern of developmental changes in self-control during early adolescence, and whether maternal and paternal closeness, support, monitoring, and disciplinary inconsistency were associated with developmental changes in deviance, indirectly through developmental changes in self-control. MethodsFive assessments part of the Brno Longitudinal Study of Youth on 582 early adolescents (58.4% female; Mage = 12.34 years, SD = 0.89 at baseline) were used for the study. A latent growth model tested the growth of self-control over two years in early adolescence. Associations between parenting and developmental changes in self-control as well as deviance were tested using structural equation modeling with latent constructs. ResultsSelf-control declined over time; individuals varied both in initial levels and rates of change. Full mediation through developmental changes in self-control were found; more specifically, more maternal monitoring at age 12 was associated with increases in self-control at age 13, which, in turn, was associated with less deviance at age 14. Results also provided evidence of direct effects, where more maternal closeness at age 12 was associated with less deviance at age 14. ConclusionsSelf-control decreased during early adolescence, thus supporting continued malleability. Both maternal closeness and monitoring were associated with less deviance, where the effect of monitoring was mediated through self-control.

Maternal mental health monitoring in an online community: a natural language processing approach

ABSTRACT Digital maternity support communities are increasingly popular. The communities are often based on discussion forums called ‘birth clubs’, to which users are assigned according to their estimated due months. Distinguishing between support-seeking and non-support-seeking posts submitted to these ‘birth clubs’ is a crucial first step for monitoring maternal mental health. This study utilised natural language processing (NLP) techniques on 52,558 posts collected from one of the largest online maternity communities in China, employing machine learning algorithms trained for post classification with a randomly selected and manually labelled subset of 3000 posts. The results validated the properties of information similarity and time sensitivity within the post data, and demonstrated the feasibility of employing simple algorithms and small training sets for effective maternal mental health monitoring.

An Overview of Maternity healthcare Monitoring in Developing Nations

A healthcare monitoring arrangement is essential for frequently monitoring a patient's health status. Specifically, maternal healthcare systems for tracking are utilized to evaluate the clinical status and monitor any abnormal condition changes during all three trimesters. This paper's objective is to conduct an extensive literature review and acknowledge earlier initiatives and studies conducted previously in maternal health care monitoring. This review focuses on accumulating information from earlier work and presents a general overview of previous studies concerning maternal health care monitoring (MHCM). The paper focuses on the maternal healthcare systems in developing countries accessed by pregnant women during the antenatal period. Furthermore, this paper highlights the challenges in the maternal health sector that include inadequate work conditions for health workers, home-based birth practices, long distances to healthcare facilities, and long waiting times in health facilities. The paper indicates the potential opportunities to strengthen maternal healthcare services and allow effective access to maternal healthcare facilities by pregnant women.