Understanding maternal mortality in women with obesity and the role of care they receive: a national case-control study

Impact of pregestational obesity on perinatal complications: update in a Latin American cohort

OBJECTIVES

While the association between pregestational obesity and perinatal complications has been established, it is necessary to update the current understanding of its impact on maternal and foetal health due to its growing prevalence. Thus, this study aimed to investigate the association between pregestational obesity with the leading perinatal complications during the last 6 years.

STUDY DESIGN

A cross-sectional study was performed in San Felipe, Chile. Anonymised data of 11,197 deliveries that occurred between 2015 and 2021 were included.

METHODS

Pregestational body mass index was defined according to the World Health Organisation during the first trimester of pregnancy. The association between pregestational obesity and perinatal complications was analysed by calculating the odds ratio (OR), which was adjusted for confounding variables. Statistical differences were considered with a P-value of <0.05.

RESULTS

The prevalence of pregestational obesity was 30.1%. Pregestational obesity was related to a high incidence of perinatal complications (≥3 complications; P < 0.0001). The main perinatal complications were caesarean section, large for gestational age (LGA), gestational diabetes (GD), macrosomia, hypertensive disorders of pregnancy (HDP), premature rupture of membranes (PROM), intrauterine growth restriction, and failed induction. Pregestational obesity was shown to be a risk factor for macrosomia (OR: 2.3 [95% confidence interval {95% CI}: 2.0-2.8]), GD (OR: 1.9 [95% CI: 1.6-2.1]), HDP (OR: 1.8 [95% CI: 1.5-2.1]), LGA (OR: 1.6 [95% CI: 1.5-1.8]), failed induction (OR: 1.4 [95% CI: 1.0-1.8]), PROM (OR: 1.3 [95% CI: 1.1-1.6]), and caesarean section (OR: 1.3 [95% CI: 1.2-1.4]).

CONCLUSIONS

Pregestational obesity has been shown to be a critical risk factor for the main perinatal complications in the study population. Pregestational advice is imperative not only in preventing pregestational obesity but also in the mitigation of critical perinatal complications once they arise.

Reproductive and child health transition among selected empowered action groups states of India: A district-level analysis

BACKGROUND

Health is an inseparable part of life and central to all life supporting systems. The reproductive and child health shares a major portion of public health cases that is crucial for socio-economic development. Studies on reproductive and child health have traditionally been focused on demographic aspects using socio-economic parameters. Given the emphasis of Sustainable Development Goal (SDG)-3 on health and well-being, it is imperative to understand the geo-spatial dimension with the visible transition of key health indicators of fertility, maternal and infant/child health in the high burdened districts within these high focus Empowered Action Group (EAG) states of Rajasthan, Madhya Pradesh, Uttar Pradesh and Bihar that make up nearly 40% of India's population with relatively laggard health status.

METHODOLOGY

This paper aims to understand the status and trend of key reproductive and child health indicators and vital statistics based on the recent representative demographic surveys. We intend to undertake a district level spatio-temporal analysis by developing District Composite Health Profile (DCHP) using Composite Index Method on selected 13 equally weighted key reproductive and child health indicators. The study has been carried out using data from National Family Health Survey-4 (2015-16) and National Family Health Survey-5 (2019-21) survey rounds. We employed geo-spatial techniques i.e. Moran's-I, and univariate LISA to comprehend the geographical clustering of high and low health burden districts and their heterogeneities at the district level.

RESULTS/CONCLUSIONS

The study highlights emerging inter-districts, and inter-state disparities over survey periods. With consistent improvement in the selected EAG states over time, the overall reproductive and child health status through DCHP along with each indicator was relatively better in the states of Rajasthan and worse in Bihar. Districts along the Terai belt in Uttar Pradesh and Bihar consistently performed sluggish during survey rounds. The geo-spatial clustering follows the political boundary of states, albeit with intra-state variations. Monitoring of key health indicators using composite index method provides a useful leverage for identifying priority districts/regions for universal health access that should also consider geographical space as an important policy dimension.

The 90% effective dose of intrathecal hyperbaric bupivacaine for Cesarean delivery under combined spinal-epidural anesthesia in parturients with super obesity: an up-down sequential allocation study

PURPOSE

To determine the 90% effective dose (ED90) of intrathecal hyperbaric bupivacaine for Cesarean delivery under combined spinal-epidural anesthesia (CSE) in parturients with super obesity (body mass index [BMI] ≥ 50 kg·m-2).

METHODS

We enrolled parturients with BMI ≥ 50 kg·m-2 with term, singleton vertex pregnancies undergoing elective Cesarean delivery under CSE. An independent statistician generated the 0.75% hyperbaric bupivacaine dosing regimen in increments of 0.75 mg using a biased-coin up-down sequential allocation technique. This was combined with 15 μg fentanyl, 150 μg morphine, and normal saline to a volume of 2.05 mL. The initial and maximum doses were 9.75 mg and 12 mg, respectively. Participants, clinical team, and outcome assessors were blinded to the dose. The primary outcome was block success, defined as T6 block to pinprick within ten minutes and no intraoperative analgesic supplementation within 90 min of spinal injection. We determined the ED90 using logistic regression.

RESULTS

We enrolled 45 parturients and included 42 in the analysis. All doses achieved a T6 level within ten minutes, and the primary outcome occurred in 0/1 (0%) of the 9.75-mg doses, 2/3 (67%) of the 10.5-mg doses, 21/27 (78%) of the 11.25-mg doses, and 11/11 (100%) of the 12-mg doses. The ED90 of hyperbaric bupivacaine was 11.56 mg (95% confidence interval, 11.16 to 11.99). Four parturients (9.5%) had sensory level higher than T2, but none was symptomatic or required general anesthesia.

CONCLUSION

The estimated ED90 of hyperbaric bupivacaine with fentanyl and morphine in parturients with super obesity undergoing Cesarean delivery under CSE was approximately 11.5 mg.

STUDY REGISTRATION

ClinicalTrials.gov (NCT03781388); first submitted 18 December 2018.

[Maternal mortality in France, 2016-2018, frequency, causes and women's profile]

OBJECTIVE

To describe, for the 2016-2018 period, the frequency, causes and risk factors of maternal deaths in France.

METHOD

Data from the National Confidential Enquiry into Maternal Deaths for 2016-2018.

RESULTS

For 2016-2018, 272 maternal deaths occurred in France up to 1 year after the end of pregnancy, i.e a maternal mortality ratio of 11.8 per 100,000 live births (95 % CI 10.4-13.3), and 8.5 (IC 95 % 7.4-9.8) for maternal mortality up to 42 days. Compared to women aged 20-24, the risk of maternal death is multiplied by 2.6 for women aged 35-39, by 5 for women aged 40 and over. Obese women are twice as frequent among maternal deaths (26 %) than in the general population of parturients (11 %). There are territorial disparities -the maternal mortality ratio in the French overseas departments is 2 times higher than in metropolitan France (significant difference but smaller than in 2013-2015)-, and social disparities -the mortality of migrant women remains higher than that of women born in France, particularly for women born in sub-Saharan Africa whose risk is 3 times higher than that of native women. One in three women who died (34 %) had socio-economic vulnerability versus 22 % in the overall population of parturients. Among causes of maternal deaths, the predominant role of psychiatric conditions (mostly suicides) is confirmed for the period 2016-2018, leading cause of maternal mortality considered up to 1 year (17 %), MMR of 1.9/100,000 NV. i.e. approximately one death from psychiatric causes every 3 weeks. Cardiovascular diseases are the second leading cause of maternal mortality up to one year (14 %) and the leading cause up to 42 days (16 %), with 1.3 deaths per 100,000 NV. Amniotic fluid embolism ranks as the third cause (8 %) (2nd cause, 11 %, for MM limited to 42 days), i.e. MMR of 0.9 per 100,000 NV. After a regular decline over the last decade, maternal mortality from obstetric hemorrhage is at a stable level compared to the previous triennium 2013-2015, MMR of 0.9/100,000 NV, i.e 5th cause of MM up to one year (7 %) and 4th cause of MM up to 42 days.

CONCLUSION

The overall national maternal mortality ratio does not show a downward trend, even with constant surveillance method. Territorial inequalities persist but change in their magnitude and in the regions concerned. The profile of the causes of maternal mortality up to one year of the pregnancy end shows the leading role of suicides and cardiovascular diseases, which illustrates that the health of pregnant women or those who have recently given birth is not limited to the obstetric domain, and highlights the importance of multidisciplinarity in the management and organization of care for women in this period.

Evaluation of Lipids and Lipid-Related Transcripts in Human and Ovine Theca Cells and an in Vitro Mouse Model Exposed to the Obesogen Chemical Tributyltin

BACKGROUND

Exposure to obesogenic chemicals has been reported to result in enhanced adipogenesis, higher adipose tissue accumulation, and reduced ovarian hormonal synthesis and follicular function. We have reported that organotins [tributyltin (TBT) and triphenyltin (TPT)] dysregulate cholesterol trafficking in ovarian theca cells, but, whether organotins also exert lipogenic effects on ovarian cells remains unexplored.

OBJECTIVE

We investigated if environmentally relevant exposures to organotins [TBT, TPT, or dibutyltin (DBT)] induce lipid dysregulation in ovarian theca cells and the role of the liver X receptor (LXR) in this effect. We also tested the effect of TBT on oocyte maturation and neutral lipid accumulation, and lipid-related transcript expression in cumulus cells and preimplantation embryos.

METHODS

Primary theca cell cultures derived from human and ovine ovaries were exposed to TBT, TPT, or DBT (1, 10, or 50   ng / ml ). The effect of these chemical exposures on neutral lipid accumulation, lipid abundance and composition, lipid homeostasis-related gene expression, and cytokine secretion was evaluated using liquid chromatography-mass spectrometry (LC-MS), inhibitor-based methods, cytokine secretion, and lipid ontology analyses. We also exposed murine cumulus-oocyte complexes to TBT and evaluated oocyte maturation, embryo development, and lipid homeostasis-related mRNA expression in cumulus cells and blastocysts.

RESULTS

Exposure to TBT resulted in higher intracellular neutral lipids in human and ovine primary theca cells. In ovine theca cells, this effect was dose-dependent, independent of cell stage, and partially mediated by LXR. DBT and TPT resulted in higher intracellular neutral lipids but to a lesser extent in comparison with TBT. More than 140 lipids and 9 cytokines were dysregulated in TBT-exposed human theca cells. Expression of genes involved in lipogenesis and fatty acid synthesis were higher in theca cells, as well as in cumulus cells and blastocysts exposed to TBT. However, TBT did not impact the rates of oocyte maturation or blastocyst development.

DISCUSSION

TBT induced dyslipidemia in primary human and ovine theca cells, which may be responsible for some of the TBT-induced fertility dysregulations reported in rodent models of TBT exposure. https://doi.org/10.1289/EHP13955.

Neurodevelopmental Programming of Adiposity: Contributions to Obesity Risk

This review analyzes the published evidence regarding maternal factors that influence the developmental programming of long-term adiposity in humans and animals via the central nervous system (CNS). We describe the physiological outcomes of perinatal underfeeding and overfeeding and explore potential mechanisms that may mediate the impact of such exposures on the development of feeding circuits within the CNS-including the influences of metabolic hormones and epigenetic changes. The perinatal environment, reflective of maternal nutritional status, contributes to the programming of offspring adiposity. The in utero and early postnatal periods represent critically sensitive developmental windows during which the hormonal and metabolic milieu affects the maturation of the hypothalamus. Maternal hyperglycemia is associated with increased transfer of glucose to the fetus driving fetal hyperinsulinemia. Elevated fetal insulin causes increased adiposity and consequently higher fetal circulating leptin concentration. Mechanistic studies in animal models indicate important roles of leptin and insulin in central and peripheral programming of adiposity, and suggest that optimal concentrations of these hormones are critical during early life. Additionally, the environmental milieu during development may be conveyed to progeny through epigenetic marks and these can potentially be vertically transmitted to subsequent generations. Thus, nutritional and metabolic/endocrine signals during perinatal development can have lifelong (and possibly multigenerational) impacts on offspring body weight regulation.

Maternal near-miss prediction model development among pregnant women in Bahir Dar City administration, northwest Ethiopia: a study protocol

INTRODUCTION

Maternal near-miss is a condition when a woman nearly died but survived from complications that happened during pregnancy, childbirth or within 42 days after delivery. Maternal near-miss is more prevalent among women in developing nations. Previous studies have identified the impact of different predictor variables on maternal near-miss but shared prognostic predictors are not adequately explored in Ethiopia. It is therefore necessary to build a clinical prediction model for maternal near-misses in Ethiopia. Hence, the aim of this study is to develop and validate a prognostic prediction model, and generate a risk score for maternal near-miss among pregnant women in Bahir Dar City Administration.

METHODS AND ANALYSIS

A prospective follow-up study design will be employed among 2110 selected pregnant women in the Bahir Dar City administration from 1 May 2023 to 1 April 2024. At the initial antenatal visit, pregnant women will be systematically selected. Then, they will be followed until 42 days following birth. Data will be collected using structured questionnaires and data extraction sheet. The model will be created using Cox proportional hazard regression analysis. The performance of the model will be assessed based on its capacity for discrimination using c-index and calibration using calibration plot, intercept and slope. The model's internal validity will be evaluated through the bootstrapping method. Ultimately, the model will be illustrated through a nomogram and decision tree, which will be made available to prospective users.

ETHICS AND DISSEMINATION

Ethical approval has been obtained from the Institutional Review Board of the College of Medicine and Health Sciences, Bahir Dar University (protocol number 704/2023). Findings will be published in peer-reviewed journals and local and international seminars, conferences, symposiums and workshops. Manuscripts will be prepared and published in scientifically reputable journals. In addition, policy briefs will be prepared.

Maternal and child nutrition programme of investigation within the 100 Million Brazilian Cohort: study protocol

INTRODUCTION

There is a limited understanding of the early nutrition and pregnancy determinants of short-term and long-term maternal and child health in ethnically diverse and socioeconomically vulnerable populations within low-income and middle-income countries. This investigation programme aims to: (1) describe maternal weight trajectories throughout the life course; (2) describe child weight, height and body mass index (BMI) trajectories; (3) create and validate models to predict childhood obesity at 5 years of age; (4) estimate the effects of prepregnancy BMI, gestational weight gain (GWG) and maternal weight trajectories on adverse maternal and neonatal outcomes and child growth trajectories; (5) estimate the effects of prepregnancy BMI, GWG, maternal weight and interpregnancy BMI changes on maternal and child outcomes in the subsequent pregnancy; and (6) estimate the effects of maternal food consumption and infant feeding practices on child nutritional status and growth trajectories.

METHODS AND ANALYSIS

Linked data from four different Brazilian databases will be used: the 100 Million Brazilian Cohort, the Live Births Information System, the Mortality Information System and the Food and Nutrition Surveillance System. To analyse trajectories, latent-growth, superimposition by translation and rotation and broken stick models will be used. To create prediction models for childhood obesity, machine learning techniques will be applied. For the association between the selected exposure and outcomes variables, generalised linear models will be considered. Directed acyclic graphs will be constructed to identify potential confounders for each analysis investigating potential causal relationships.

ETHICS AND DISSEMINATION

This protocol was approved by the Research Ethics Committees of the authors' institutions. The linkage will be carried out in a secure environment. After the linkage, the data will be de-identified, and pre-authorised researchers will access the data set via a virtual private network connection. Results will be reported in open-access journals and disseminated to policymakers and the broader public.

Relationships among Postpartum Weight Retention, Stress, and Disinhibited Eating: A Scoping Review

Postpartum weight retention (PPWR) is a significant contributor to maternal cardiometabolic disease risk. The transition to motherhood is a stressful time period in which women report consuming food to cope, an eating behavior that is associated with PPWR. In this scoping review, we identified original research and review articles published since 2010 that examined relationships among PPWR, maternal stress, and disinhibited eating. In total, 16 articles met the inclusion criteria. Findings were inconsistent related to PPWR and stress. PPWR and disinhibited eating were not significantly correlated; however, disinhibition scores were higher during the postpartum period compared to prenatally. Stress and disinhibited eating were directly correlated in 4 studies. Our findings suggest these concepts, particularly disinhibited eating, have not been robustly examined during the postpartum period. Additionally, instruments used to measure maternal stress vary widely and should be further studied and refined.

Peri-operative anaesthetic management of women with obesity

Obesity in women is prevalent and growing at an alarming pace worldwide, resulting in significant healthcare and socioeconomic consequences. Obesity is a multisystemic disease that is associated with numerous comorbidities, particularly sleep-disordered breathing, hypertension, coronary artery disease, pulmonary hypertension, thromboembolism, and diabetes mellitus. Additionally, obesity poses several peri-operative challenges including difficulty with airway management and mechanical ventilation, challenges with intravenous access or regional blocks, the need for modified anaesthetic drug dosing, the requirement for correctly sized and rated equipment, and appropriate post-operative monitoring. Therefore, early multidisciplinary planning is crucial to identify and address important peri-operative and clinical issues. Parturients with obesity are especially at high risk due to the additional physiological changes and obstetric comorbidities associated with obesity. Antenatal anaesthetic consultation along with close communication and collaboration within the multidisciplinary team are important to improve maternal and neonatal safety.

Linking Electronic Health Records With Wearable Technology From the All of Us Research Program

OBJECTIVE

To evaluate the feasibility of using electronic health records (EHRs) and wearable data to describe patterns of longitudinal change in day-level heart rate before, during, and after pregnancy and how these patterns differ by age and body mass index.

DESIGN

Descriptive secondary analysis feasibility study using data from the National Institutes of Health All of Us Research Program.

SETTING

United States.

PARTICIPANTS

Women (N = 89) who had a birth or length of gestation code in the EHR and at least 60 days of Fitbit heart rate data during pregnancy.

METHODS

We estimated pregnancy-related episodes using EHR codes. Time consisted of five 3-month periods: before pregnancy, first trimester, second trimester, third trimester, and after birth. We analyzed data using descriptive statistics and locally estimated scatterplot smoothing.

RESULTS

An average of 330 days (SD = 112) of Fitbit heart rate data (29,392 days) were available from participants. During pregnancy, distinct peaks in heart rate occurred during the first trimester (6% increase) and third trimester (15% increase).

CONCLUSION

Future researchers can examine whether longitudinal timing and patterns of heart rate from wearable devices could be leveraged to detect health problems early in pregnancy.

Validation of the 24-hour perceived exertion recall survey (PERS) in women in rural Tigray, Ethiopia

Background

Physical activity affects nutritional status and health. Currently, there are few validated survey tools for estimating physical activity in rural areas of low-income countries, including Ethiopia, which limits the ability of researchers to assess how physical activity affects nutritional status.

Objectives

This study used accelerometry to validate 2 in-person questionnaires, the global physical activity questionnaire (GPAQ) and the 24-h perceived exertion recall survey (PERS).

Methods

This study recruited 180 women aged between 18 and 45 y living in rural Tigray, Ethiopia. Participants had previously participated in an impact evaluation of a public work safety net. They wore an accelerometer for 8 d and responded to perceived exertion questionnaires twice. Data were collected on 89 women during the short rainy period and 91 women during the main rainy season. A survey method was considered valid if the proportion of time spent in moderate or vigorous physical activity (MVPA) levels had a Pearson's correlation coefficient of >0.40 to the proportion of time spent in MVPA recorded by accelerometry.

Results

The GPAQ had high reliability, but the overall validity was poorer than accelerometry. The proportion of time spent in MVPA according to the accelerometer was associated with discordance between GPAQ and accelerometry. MVPA levels, as measured by the 24-h PERS, had a fair agreement with accelerometry. The agreement increased to moderate/acceptable when adjusted for season and BMI.

Conclusions

The 24-h PERS is a valid tool for estimating the physical activity of women living in rural highland Ethiopia. It can be used in future research to understand the physical activity demands of living in rural highland Ethiopia, enabling more targeted programs to address undernutrition.

COVID-19 in Pregnancy: Influence of Body Weight and Nutritional Status on Maternal and Pregnancy Outcomes-A Review of Literature and Meta-Analysis

In the last two and a half years, COVID-19 has been one of the most challenging public health issues worldwide. Based on the available evidence, pregnant women do not appear to be more susceptible to infection than the general population but having COVID-19 during pregnancy may increase the risk of major complications for both the mother and the fetus. The aim of this study is to identify the correlation between BMI and nutritional status and the likelihood of contracting COVID-19 infection in pregnancy, its severity, and maternal pregnancy outcomes. We carry out a systematic literature search and a meta-analysis using three databases following the guidelines of the Cochrane Collaboration. We include 45 studies about COVID-19-positive pregnant women. Compared with normal-weight pregnant women with COVID-19, obesity is associated with a more severe infection (OR = 2.32 [1.65-3.25]), increased maternal death (OR = 2.84 [2.01-4.02]), and a higher rate of hospital admission (OR = 2.11 [1.37-3.26]). Obesity may be associated with adverse maternal and pregnancy outcomes by increasing symptom severity and, consequently, hospital and Intensive Care Unit (ICU) admission, and, finally, death rates. For micronutrients, the results are less definite, even if there seems to be a lower level of micronutrients, in particular Vitamin D, in COVID-19-positive pregnant women.

Female infertility in the era of obesity: The clash of two pandemics or inevitable consequence?

Obesity is an epidemic that has led to a rise in the incidence of many comorbidities: among others, reduced fertility is often under-evaluated in clinical practice. The mechanisms underlying the link between reduced fertility and obesity are numerous, with insulin resistance, hyperglycaemia and the frequent coexistence of polycystic ovary syndrome being the most acknowledged. However, several other factors concur, such as gut microbiome alterations, low-grade chronic inflammation and oxidative stress. Not only do women with obesity take longer to conceive, but in vitro fertilization (IVF) is also less likely to succeed. We herein provide an updated state-of-the-art regarding the molecular bases of what we could define as dysmetabolic infertility, focusing on the clinical aspects, as well as possible treatment.

A retrospective analysis of complications associated with postpartum hemorrhage up to 1 year postpartum in mothers with and without a pre-existing mental health diagnosis

BACKGROUND/OBJECTIVES

There is limited research on the associated immediate and long-term outcomes of postpartum hemorrhage. Mothers with a pre-existing psychiatric disease prior to delivery may be especially vulnerable to postpartum hemorrhage outcomes but little is known on this topic. Barriers to studying this population exist and add to knowledge gaps. The goal of this study is to determine the clinical characteristics and frequency of complications within 1 year of a postpartum hemorrhage diagnosis and the psychiatric sequelae within 7 days of a postpartum hemorrhage diagnosis in mothers with a pre-existing mental health diagnosis prior to delivery versus those without.

METHODS/DESIGN

This is a multicenter retrospective observational cohort study using TriNetX, a de-identified electronic health record database. The following electronic health record data were collected and evaluated in postpartum females who were billed for either a vaginal or cesarean delivery: age, race, ethnicity, diagnostic codes, medication codes, and number of deaths.

RESULTS

We included 10,649 subjects (6994 (65.7%) no mental health diagnosis and 3655 (34.3%) pre-existing mental health diagnosis). Haloperidol administration (118 (3.2%) versus 129 (1.8%), p < 0.001) was more prevalent in subjects with a pre-existing mental health diagnosis. Adjusting for demographics, pre-existing mental health diagnoses were associated with complications within 1 year after postpartum hemorrhage diagnosis (OR = 1.39, 95% CI: 1.26-1.52, p < 0.001).

CONCLUSION

Having a mental health disorder history is associated with a higher odds of developing subsequent complications within 1 year of postpartum hemorrhage diagnosis. Mothers with a pre-existing mental health disorder have a significantly higher frequency of certain severe postpartum hemorrhage sequelae, including acute respiratory distress syndrome, retained placenta, sickle cell crisis, and need for mechanical ventilation/tracheostomy up to 1 year after delivery. Medications such as haloperidol were ordered more frequently within 7 days of a postpartum hemorrhage diagnosis in these mothers as well. Further research is needed to understand and manage the unique consequences of postpartum hemorrhage in this vulnerable maternal population.

Evaluation of depression and obesity indices based on applications of ANOVA, regression, structural equation modeling and Taguchi algorithm process

Introduction

Depression and obesity are the main threat among women which have been considered by many research scholars in psychology studies. In their analysis for measuring and estimating obesity and depression they were involving statistical functions.

Methods

Regression, Analysis of Variance (ANOVA), and in the last two decades Structural Equation Modeling are the most familiar statistical methods among research scholars. Taguchi algorism process is one the statistical methods which mostly have been applying in engineering studies. In this study we are looking at two main objectives. The first one is to introduce Taguchi algorism process and apply it in a case study in psychology area. The second objective is challenging among four statistical techniques include ANOVA, regression, SEM, and Taguchi technique in a same data. To achieve those aims we involved depression and obesity indices with other familiar indicators contain socioeconomic, screen time, sleep time, and usage fitness and nutrition mobile applications.

Results and discussion

Outputs proved that Taguchi technique is able to analyze some correlations which are not achieved by applying ANOVA, regression, and SEM. Moreover, SEM has a special capability to estimate some hidden correlations which are not possible to evaluate them by using ANOVA, regression, and even Taguchi method. In the last, we found that some correlations are significant by SEM, however, in the same data with regression those correlation were not significant. This paper could be a warning for psychology research scholars to be more careful with involving statistical methods for measuring and estimating of their research variables.

Exploring the socioeconomic disparities of maternal body mass index: a national study in France

BACKGROUND

The prevalence of overweight and obesity has increased in various countries. Normal weight before pregnancy is important to protect maternal and newborn health. This study aimed to describe the evolution of body mass index (BMI) before pregnancy in France and explore its association with two measures of socioeconomic status (SES), education and household income.

METHODS

Data were from four national perinatal surveys in France in 1998, 2003, 2010 and 2016 to describe the time evolution of maternal BMI. We explored the links between BMI and women's characteristics in the most recent period (2010-2016 surveys) since income information was not available before. Risk ratios (RRs) of underweight, overweight and obesity for each measure of SES were computed by using multivariable Poisson regression models.

RESULTS

Overweight and obesity prevalence increased between 1998 and 2016, from 6% to 12% for obesity. Both were inversely associated with SES (higher prevalence among least educated and poorest women), with strong variations for each social indicator, even in multivariable analyses including both. Combining education and income revealed a wide gradient; RR for obesity was 6.01 (95% confidence interval 4.89-7.38) with low education and income <2000 euros/month vs. high education and income ≥4000 euros/month.

CONCLUSIONS

Public policies must implement programs to limit the increase in overweight and its unequal distribution in the population, alongside other policies to address the societal determinants of the obesogenic environment. Health professionals need to advise women to improve their eating and physical activity to limit weight gain from childhood to early adulthood.

Cardio-Obstetrics: the Next Frontier in Cardiovascular Disease Prevention

Purpose of Review

Internationally, cardiovascular disease (CVD) is the leading cause of death in women. With risk factors for CVD continuing to rise, early identification and management of chronic diseases such as hypertension, diabetes, and obstructive sleep apnea is necessary for prevention. Pregnancy is a natural stress test for women with risk factors who may be predisposed to CVD and offers a unique opportunity to not only recognize disease but also implement effective and long-lasting strategies for prevention.

Recent Findings

Prevention begins before pregnancy, as preconception screening, counseling, and optimization of chronic diseases can improve maternal and fetal outcomes. Throughout pregnancy, women should maintain close follow-up, continued reevaluation of risk factors, with counseling when necessary. Continued healthcare engagement during the “fourth trimester,” 3 months following delivery, allows clinicians to continue monitoring the evolution of chronic diseases, encourage ongoing lifestyle counseling, and connect women with primary care and appropriate specialists if needed. Unfortunately, this postpartum period represents a major care gap, as a significant proportion of most women do not attend their scheduled visits. Social determinants of health including decreased access to care and economic instability lead to increased risk factors throughout pregnancy but particularly play a role in poor compliance with postpartum follow-up. The use of telemedicine clinics and remote monitoring may prove to be effective interventions, bridging the gap between physicians and patients and improving follow-up for at-risk women.

Summary

While many clinicians are beginning to understand the impact of CVD on women, screening and prevention strategies are not often implemented until much later in life. Pregnancy creates an opportunity to begin engaging women in cardiovascular protective strategies before the development of the disease.

Maternal Morbidity Predicted by an Intersectional Social Determinants of Health Phenotype: A Secondary Analysis of the NuMoM2b Dataset

Maternal race, ethnicity and socio-economic position are known to be associated with increased risk for a range of poor pregnancy outcomes, including maternal morbidity and mortality. Previously, researchers seeking to identify the contributing factors focused on maternal behaviors and pregnancy complications. Less understood is the contribution of the social determinants of health (SDoH) in observed differences by race/ethnicity in these key outcomes. In this secondary analysis of the Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be (nuMoM2b) dataset, latent mixture modeling was used to construct groups of healthy, nulliparous participants with a non-anomalous fetus in a cephalic presentation having a trial of labor (N = 5763) based on SDoH variables. The primary outcome was a composite score of postpartum maternal morbidity. A postpartum maternal morbidity event was experienced by 350 individuals (6.1%). Latent class analysis using SDoH variables revealed six groups of participants, with postpartum maternal morbidity rates ranging from 8.7% to 4.5% across groups (p < 0.001). Two SDoH groups had the highest odds for maternal morbidity. These higher-risk groups were comprised of participants with the lowest income and highest stress and those who had lived in the USA for the shortest periods of time. SDoH phenotype predicted MM outcomes and identified two important, yet distinct groups of pregnant people who were the most likely have a maternal morbidity event.

Prevention Starts in the Womb: Opportunities for Addressing Cardiovascular Risk Factors During Pregnancy and Beyond

Early identification and mitigation of sex-specific cardiovascular disease risk factors is a potential trajectory-changing strategy to improve lifelong cardiovascular health in women. These sex-specific risk factors include adverse pregnancy outcomes, polycystic ovarian syndrome, and premature menopause. We start by discussing the impact and management of risk factors for adverse pregnancy outcomes as an upstream intervention for cardiovascular disease risk reduction and then address the long-term effect and mitigation of sex-specific risk factors for cardiovascular disease.