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Introduction: The weight of an infant at the time of birth is an indicator of its health. Infants with low birth weight (LBW) are at a higher risk of neonatal mortality and morbidity as well as stunted growth. Low birth weight (LBW) remains a public health concern in developing countries, such as Indonesia. In fact, the neonatal mortalities and morbidities that occur as a consequence of LBW can be prevented by addressing the relevant risk factors. It is believed that by identifying these risk factors, prevention and management efforts can be efficiently and effectively implemented to reduce incidences of LBW (LBWIs). As such, the present study determined the factors affecting LBWIs in a rural setting in Pontianak City, Indonesia., Materials and Methods: This is a retrospective unmatched case-control study. The required data was obtained from the medical records maintained by the University Tanjungpura Hospital, Pontianak City, Indonesia. Simple random sampling was used to select and equally divide the 60 chosen respondents into LBW case and normal birth weight control groups., Results: Mothers with low educational levels had a 1.5 times greater chance of giving birth to LBW babies. The results of the multivariate analysis also revealed a correlation between gestational age (GA), incidence of premature rupture of membranes (PROM), and intrauterine growth restriction (IUGR) and that their combined effects that contributed to 56% of LBWIs., Conclusion: Low maternal education level, low gestational age, IUGR, and premature rupture of membranes contribute to LBW babies. This study recommends that it is necessary to educate women of childbearing age about routine antenatal care checks to identify risk factors that can lead to LBW.

Objectives: To compare complications in neonates who had umbilical venous catheter (UVC) versus peripherally inserted central catheter (PICC), percentage of non-elective removal of central catheters, and to compare complications of PICC in the upper limb compared with the lower limb., Design: A prospective cross-sectional cohort study., Setting: Neonatal intensive care unit (NICU) in Prince Sultan Military Medical City in Riyadh, Saudi Arabia., Participants: All infants who are admitted to the unit requiring central catheter insertion were included in the study., Primary Outcome Measure: Complications of central catheters in infants admitted to the NICU., Results: A total of 415 central catheters were involved in this study (206 UVCs and 209 PICCs (85 in the lower limb, 99 in the upper limb and 25 in the head and neck). The median birth weight of the neonates was 1470 grams (1000-2215). Low birth weight was the most common reason for central catheter insertion, which accounted for 59.8%. Neonatologists were the main insertor for the majority of the cases. The median dwell days for the study sample were 11.00 (7.00-16.50) days. Complications were more common across PICC cases compared with UVC cases (p=0.001). There was non-elective removal of PICC (32.1%) compared with UVC (22.8%) (p=0.035). Phlebitis, occlusion, local infiltrate and leakage were more common in PICC compared with UVC (p<0.05). However, malposition was more commonly associated with the use of UVC (mainly to the liver) (p<0.01). Central line-associated bloodstream infection (CLABSI) rate in 1000.00 dwell days was higher in the upper limb 4.6 compared with the lower limb 2.72 but was not statistically significant (p=0.63), and there was no statistically significant difference in the proportion of other complications between the upper limb and the lower limb (p>0.05)., Conclusion: Close monitoring during extended dwell times is crucial. Our findings underscore the importance of raising awareness of CLABSI risk factors and adhering to best practices for central catheter maintenance. Healthcare professionals should be vigilant about the differences in complication rates between PICC and UVC, tailoring their approach accordingly., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Objective: To examine the association between neighborhood socioeconomic disadvantage and birth outcomes among refugee women in Denmark, leveraging a natural experiment., Methods: This register-based study included 15 118 infants born to women who arrived in Denmark as refugees during 1986 to 1998, when a dispersal policy was in place that quasirandomly assigned newcomers to neighborhoods with varying degrees of socioeconomic disadvantage. Neighborhood disadvantage was measured using a composite index representing neighborhood-level income, education, unemployment, and welfare assistance. These data were linked to individual-level birth register data. Outcomes included low birth weight, preterm birth, and small-for-gestational-age infants. Associations between neighborhood disadvantage at resettlement and birth outcomes up to 20 years after resettlement were examined using multivariable regressions adjusting for characteristics of the women at resettlement., Results: Each SD of increase in neighborhood disadvantage was associated with an 18% increase in low birth weight risk (0.61 percentage points [pp], 95% confidence interval [CI]: 0.19-1.02), 15% increase in preterm birth risk (0.64 pp, 95% CI: 0.22-1.07), and 7% increase in small-for-gestational-age risk (0.78 pp, 95% CI: 0.01-1.54) 5 years after resettlement. Results did not differ after adjusting for urbanicity and conational density, but associations were attenuated after adjusting for municipality-level fixed effects, suggesting that local government characteristics may partially explain the associations., Conclusions: Resettling in a disadvantaged neighborhood is associated with higher risk of adverse birth outcomes among refugee women. This highlights how policy decisions affecting settlement of refugees can have long-term consequences, including on the health of the next generation., (Copyright © 2024 by the American Academy of Pediatrics.)

Objective: Investigate the acute impact of COVID-19 mitigation measures implemented in March 2020 on a comprehensive range of perinatal outcomes., Study Design: National registry-based quasi-experimental study., Methods: We obtained data from the Dutch Perinatal Registry (2010-2020) which was linked to multiple population registries containing sociodemographic variables. A difference-in-discontinuity approach was used to examine the impact of COVID-19 mitigation measures on various perinatal outcomes. We investigated preterm birth incidence across onset types, alongside other perinatal outcomes including low birth weight, small-for-gestational-age, NICU admission, low-APGAR-score, perinatal mortality, neonatal death, and stillbirths., Results: The analysis of the national-level dataset revealed a consistent pattern of reduced preterm births after the enactment of COVID-19 mitigation measures on March 9, 2020 (OR = 0.80, 95% CI 0.68-0.96). A drop in spontaneous preterm births post-implementation was observed (OR = 0.80, 95% CI 0.62-0.98), whereas no change was observed for iatrogenic births. Regarding stillbirths (OR = 0.95, 95% CI 0.46-1.95) our analysis did not find compelling evidence of substantial changes. For the remaining outcomes, no discernible shifts were observed., Conclusions: Our findings confirm the reduction in preterm births following COVID-19 mitigation measures in the Netherlands. No discernible changes were observed for other outcomes, including stillbirths. Our results challenge previous concerns of a potential increase in stillbirths contributing to the drop in preterm births, suggesting alternative mechanisms., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Background: Existing guidelines for screening and treatment of asymptomatic bacteriuria (ASB) in pregnancy are based on studies completed more than 30 years ago. This evidence is characterized by a lack of consensus on the association between ASB and adverse pregnancy- and birth outcomes., Aim: This systematic review aimed to investigate the association between untreated/treated ASB (≥10 5 colony-forming units (cfu) of the same bacteria per ml urine in two consecutive voided cultures without any symptoms) and pregnancy outcomes (pyelonephritis, chorioamnionitis, prelabour rupture of membranes (PROM)), and birth outcomes (preterm birth (PTB), low birth weight (LBW) and small for gestational age (SGA)). The impact of the most serious pathogens E. coli and Group B streptococci (GBS) on these outcomes was also examined., Methods: A systematic literature search was prepared according to the guideline Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA). The search was conducted in the databases Medline, Embase, and Cochrane Library, with a systematic strategy based on the PICO acronym (Population, Intervention, Comparison, Outcome). Covidence was used as a screening- and data extraction tool. Randomized trials and observational studies published between, January 01, 2005-February 10, 2023, were identified. The Cochrane Collaboration risk of bias tool 2 and the Newcastle-Ottawa Quality Assessment Scale were applied to assess the quality of the included studies. A protocol was published prior to this review, at the international prospective register of systematic reviews (PROSPERO)., Results: The database search yielded 3029 records. Fourteen studies were included. Untreated pregnant women with ASB had significantly increased odds of pyelonephritis. Most of the studies showed no significant association between treated ASB and pyelonephritis. In treated ASB, an increased risk of both chorioamnionitis and PROM was found. Divergent results were found in the association between ASB and PTB, as well as in the association between untreated ASB and LBW. Most of the studies showed no significant association between treated ASB and LBW. One study found no significant association between untreated/treated ASB and SGA. No studies were identified that addressed the association between ASB with E. coli/GBS and the outcomes examined., Conclusion: There is a need for more recent high-quality studies to investigate the association between untreated/treated ASB and pregnancy- and birth outcomes, and to assess the impact of E. coli/GBS on these outcomes., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: NW reports personal fees from Merck Sharp Dohme outside the submitted work; honorarium paid to her institution, and unrestricted grants for research from The Novo Nordisk Foundation outside the submitted work. EM reports personal fees from Glaxo Smith Kline and MSD outside of the submitted work; honorarium paid to her institution, and grants paid to her institution from The Novo Nordisk Foundation and Gilead, outside the submitted work. MA and AKT declare no conflicts of interest., (Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.)

Background: This study aimed to assess the efficacy of various supervised longitudinal learning approaches, comparing traditional statistical models and machine learning algorithms for prediction with longitudinal data. The primary objectives were to evaluate the predictive performance of different supervised longitudinal learning methods for low birth weight (LBW) and very low birth weight (VLBW) based on prenatal ultrasound measurements. Additionally, the study sought to extract interpretable risk features for disease prediction., Methods: The evaluation involved benchmarking the performance of longitudinal models against conventional machine learning methods. Classification accuracy for LBW and VLBW at birth, as well as prediction accuracy for birth weight using prenatal sonographic ultrasound measurements, were assessed., Results: Among the learning approaches we investigated in this study, the longitudinal machine learning approach, specifically, the mixed effect random forest (MERF), delivered the overall best performance in predicting birthweights and classifying LBW/VLBW disease status., Conclusion: The MERF combined the power of advanced machine learning algorithms to accommodate the inherent within-individual dependence in the observed data, delivering satisfactory performance in predicting the birthweight and classifying LBW/VLBW disease status. The study emphasized the importance of incorporating previous ultrasound measurements and considering correlations between repeated measurements for accurate prediction. The interpretable trees algorithm used for risk feature extraction proved reliable and applicable to other learning algorithms. These findings underscored the potential of longitudinal learning methods in improving birth weight prediction and highlighted the relevance of consistent risk features in line with established literature., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Background: Previous studies have shown that job strain is associated with low birthweight (LBW), preterm birth (PTB), and small for gestational age (SGA). We conducted a scoping review and meta-analysis to assess the association between job strain and adverse pregnancy outcomes., Methods: A literature search was performed on PubMed. We included English-language studies that examined the association between job strain (based on the Karasek demand-control model) and pregnancy outcomes. We excluded letters, posters, reviews, and qualitative studies. Random effects meta-analysis was performed. Heterogeneity was assessed using τ 2 and I 2 statistics. Potential bias was assessed using standard funnel plots. Asymmetry was evaluated by Egger's test. Leave-one-out analysis was performed for sensitivity analyses., Results: Three eligible studies were found for LBW, seven for PTB, and four for SGA. The number of subjects ranged from 135 to 4889, and the prevalence of high job strain ranged from 6.64% to 33.9%. The pooled odds ratio and 95% confidence interval (CI) for LBW, PTB, and SGA were 1.23 (95% CI: 0.97, 1.56), 1.10 (95% CI: 1.00, 1.22), and 1.16 (95% CI: 0.97, 1.39) respectively, indicating modest associations. Heterogeneity for LBW and PTB may not be important but may be moderate for SGA. No publication bias was detected for LBW and PTB, but possible publication bias exists for SGA., Conclusion: We found a modest association between job strain and PTB. Since job strain is only one of the many aspects of an unhealthy work environment, interventions that improve working conditions more broadly are needed., (© 2024 Wiley Periodicals LLC.)

Aim: Low birthweight is an issue during pregnancy associated with an increased risk of developing liver disease later in life. Previous Mendelian randomisation (MR) studies which explored this issue have not isolated the direct impact of the foetus on birthweight. In the present study, MR was used to assess whether direct foetal effects on birthweight were causally associated with liver structure, function and disease risk independent of intrauterine effects., Materials and Methods: We extracted single nucleotide polymorphisms (SNPs) from genome-wide association studies (GWAS) about direct foetal-affected birthweight (321 223 cases) to conduct univariable and multivariable MR analyses to explore the relationships between birthweight and 4 liver structure measures, 9 liver function measures and 18 liver diseases. A two-step MR analysis was used to further assess and quantify the mediating effects of the mediators., Results: When isolating direct foetal effects, genetically predicted lower birthweight was associated with a higher risk of non-alcoholic fatty liver disease (NAFLD) (odds ratios [OR], 95% confidence interval [CI]: 1.61, 1.29-2.02, p < 0.001), higher magnetic resonance imaging [MRI] proton density fat fraction (PDFF) and higher serum gamma glutamyltransferase (GGT). Two-step MR identified two candidate mediators that partially mediate the direct foetal effect of lower birthweight on NAFLD, including fasting insulin (proportion mediated: 22.29%) and triglycerides (6.50%)., Conclusions: Our MR analysis reveals a direct causal association between lower birthweight and liver MRI PDFF, as well as the development of NAFLD, which persisted even after accounting for the potential influence of maternal factors. In addition, we identified fasting insulin and triglycerides as mediators linking birthweight and hepatic outcomes, providing insights for early clinical interventions., (© 2024 John Wiley & Sons Ltd.)

We assessed the impact of the COVID-19 pandemic on the pregnancy outcomes of patients who used assisted reproductive technology. We conducted a population-based cohort study of 443,101 patients who conceived naturally or with assisted reproductive technology between December 2015 and July 2021 and had a delivery in hospitals of Quebec, Canada. The main exposure measure was use of assisted reproductive technology before or during the pandemic. Outcomes included preeclampsia, preterm birth, and other pregnancy complications. We used adjusted log-binomial regression models to estimate risk ratios (RR) and 95% confidence intervals (CI) for the association of assisted reproductive technology with adverse pregnancy outcomes compared with natural conception before vs. during the pandemic. In secondary analyses, we examined the association of COVID-19 infection with pregnancy outcomes among women who used assisted reproductive technology. Compared with natural conception, assisted reproductive technology was associated with an increased risk of preeclampsia (RR 1.43; 95% CI 1.21-1.68), preterm birth (RR 2.07; 95% CI 1.84-2.33), and low birth weight (RR 1.94; 95% CI 1.72-2.20) during the pandemic. However, the same risks were also present before the pandemic. Compared with no infection, COVID-19 infection was not associated with adverse outcomes among women who conceived with assisted reproductive technology. This study suggests that the COVID-19 pandemic did not significantly impact the pregnancy outcomes of women who underwent assisted reproductive procedures in Quebec. The findings are reassuring for patients concerned about the potential reproductive effects of the pandemic., (© 2024. The Author(s), under exclusive licence to Society for Reproductive Investigation.)

Background: Adverse intrauterine environment was believed to have deleterious effects on the gonadal function. However, the association between impaired intrauterine growth and fertility in adult males has not been established., Objectives: To compare the reproductive rates of males born small for gestational age (SGA), with low birth weight (LBW) or very low birth weight (VLBW) with control groups., Methods: The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement was followed to search PubMed, Web of Science, Cochrane Library, and Embase databases from inception to June 16, 2023. Cohort studies investigating the reproductive rates of males born SGA, with LBW or VLBW were included. A random or fixed effects model was used for different exposures., Results: A total of 10 studies out of 3,801 records were included. Males born SGA showed a higher risk of infertility than the control group (odds ratio, OR = 0.91, 95% confidence interval, 95% CI 0.89-0.93, p = 0.000). The reproductive rates of individuals born with LBW or VLBW were lower than the control group (OR = 0.86, 95% CI 0.78-0.94, p = 0.001; OR = 0.57, 95% CI 0.40-0.81, p = 0.002, respectively). Participants were further divided into two age groups of 18-35 and 35-45 years. In both subgroups, the reproductive rates were lower in males born SGA, with LBW or VLBW compared with controls. Sensitivity analysis showed the robustness of the pooled estimates among LBW and VLBW., Conclusion: In summary, SGA, LBW, and VLBW were associated with a higher risk of male infertility in both early and middle adulthood. Achieving optimal intrauterine growth would be helpful to prevent male infertility., (© 2024 The Author(s). Andrology published by Wiley Periodicals LLC on behalf of American Society of Andrology and European Academy of Andrology.)

This study aimed to investigate the association of combination of birth weight and current body mass index (BMI) with the risk of hypertension in adulthood. This cross-sectional study used data from the Tohoku Medical Megabank Community-based Cohort Study conducted in Japan. A total of 10,688 subjects aged ≥20 years were eligible. We calculated the least square (LS) means of systolic blood pressure (SBP) and trend tests were performed to evaluate the linear relationships between birth weight categories and SBP. We also used a multivariate logistic regression analysis to assess the risk of hypertension associated with the combination of birth weight and current BMI. There was a statistically inverse association between birth weight and SBP in the 20-64 age group, but no significant association in the ≥65 age group. Low birth weight (LBW) with normal BMI group had a higher risk of hypertension than the normal or high birth weight groups with normal BMI. Furthermore, the group with LBW and BMI ≥25.0 kg/m 2 was the highest risk for hypertension (adjusted odds ratio: 2.73; 95% CI, 2.04-3.65) compared to the reference group (birth weight 2500-3499 g and BMI 18.5-24.9 kg/m 2 ). There was a significant association between LBW and subsequent risk of hypertension. In addition, participants with lower birth weights had a higher risk of hypertension than those with higher birth weights. However, even in participants with a lower birth weight, the risk of hypertension could be reduced when they maintained an optimal BMI., (© 2024. The Author(s).)

This systematic review and meta-analysis evaluated the safety of montelukast in treating asthma during pregnancy, focusing on maternal and fetal outcomes such as congenital anomalies (CA), preterm delivery, low birthweight, spontaneous abortion, gestational diabetes mellitus, and preeclampsia. A comprehensive literature search was conducted in Google Scholar, PubMed, and the Cochrane Library databases from inception until April 30, 2024. The eligible studies assessed the safety of montelukast for asthma treatment during pregnancy. The review suggests that montelukast use during pregnancy may not significantly increase the risk of major CA. The pooled results yielded risk ratio (RR) for CA was 1.13 [95% CI (0.74, 1.73), p = 0.56, I 2  = 0%]. Montelukast may be associated with preterm delivery and a low birthweight odds ratio (OR) of 1.82 [95% CI (1.35, 2.45), p < 0.001, I 2  = 0%]. No significant risks were found concerning neurodevelopmental outcomes. The associations with spontaneous abortion were inconclusive [OR = 1.03, 95% CI (0.72, 1.5), p = 0.86, I 2  = 73%], highlighting the need for further research. This comprehensive review underscores the importance of further investigating the safety profile of montelukast during pregnancy. While the overall findings indicate a relatively favorable safety profile, especially regarding major CA, careful consideration is needed for the potential risks of preterm delivery and low birthweight., (© 2024 Japanese Teratology Society.)

Background: Studies suggest biologic mechanisms for gestational exposure to radiation and impaired fetal development. We explored associations between gestational radon exposure and term low birthweight, for which evidence is limited., Methods: We examined data for 68,159 singleton full-term births in Connecticut, United States, 2016-2018. Using a radon spatiotemporal model, we estimated ZIP code-level basement and ground-level exposures during pregnancy and trimesters for each participant's address at birth or delivery. We used logistic regression models, including confounders, to estimate odds ratios (ORs) for term low birth weight in four exposure quartiles (Q1-Q4) with the lowest exposure group (Q1) as the reference., Results: Exposure levels to basement radon throughout pregnancy (0.27-3.02 pCi/L) were below the guideline level set by the US Environmental Protection Agency (4 pCi/L). The ORs for term low birth weight in the second-highest (Q3; 1.01-1.33 pCi/L) exposure group compared with the reference (<0.79 pCi/L) group for basement radon during the first trimester was 1.22 (95% confidence interval [CI] = 1.02, 1.45). The OR in the highest (Q4; 1.34-4.43 pCi/L) quartile group compared with the reference group during the first trimester was 1.26 (95% CI = 1.05, 1.50). Risks from basement radon were higher for participants with lower income, lower maternal education levels, or living in urban regions., Conclusion: This study found increased term low birth weight risks for increases in basement radon. Results have implications for infants' health for exposure to radon at levels below the current national guideline for indoor radon concentrations and building remediations., Competing Interests: The authors report no conflicts of interest., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Background: The prevalence of low-birthweight infants is increasing in Indonesia. A low birth weight can have a negative effect on a child's development. Understanding the factors influencing low birth weight may enable preventative actions., Aim: To analyse the determinant factors of low-birthweight infants in frontier, outermost and underdeveloped regions in Indonesia., Methods: A cross-sectional study was conducted using a secondary dataset from the Indonesian National Socioeconomic Survey, 2019-2021. The sample included 27,678 inhabitants aged 16-64 years. The Indonesian regions of Nusa Tenggara Timur, Nusa Tenggara Barat, Sulawesi Tengah, Sulawesi Tenggara, Gorontalo, Maluku, Maluku Utara, Papua and Papua Barat were included. A multilevel logistic regression was conducted to determine the relationship between variables. p < 0.05 was considered to indicate significance in the fixed-effects model findings., Findings: Women who lived in a rural area [OR 1.176, 95 % confidence interval (CI) 0.088-0.235] and had never used contraception (OR 1.227, 95 % CI 0.096-0.313) were more likely to have low-birthweight infants. In contrast, water resources, social assistance/welfare, maternal age and gross domestic product per capita had no significant effect on the prevalence of low-birthweight infants., Discussion and Conclusion: Living in a rural area and lifetime non-use of contraception were found to be significant risk factors for low birth weight in frontier, outermost and underdeveloped regions in Indonesia. Increasing health facilities in rural areas and establishing programmes on the use of contraception may be positive strategies to reduce the prevalence of low-birthweight infants., Competing Interests: Declaration of competing interest The authors declare that they have no conflict of interest., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Objective: Traumatic stress is associated with increased risk for physical health conditions, emotional disorders, and reproductive challenges. Significant rates of posttraumatic stress disorder are reported during pregnancy and after childbirth (Yildiz et al., 2017). However, a dearth of research has explored how traumatic stress impacts obstetric and perinatal outcomes. The aim of this study was to examine whether cumulative trauma and posttraumatic stress symptoms (PTSS) were positively associated with adverse obstetric and perinatal outcomes (i.e., pregnancy complications, nonviable pregnancies, preterm birth, and low birth weight). Abortion was also explored in relation to trauma exposure., Method: Two hundred and twenty-six trauma-exposed women ( M age = 40.54, SD = 13.03) who had been pregnant at least once were recruited from Amazon's Mechanical Turk (MTurk; 63.3%) or midwestern university (36.7%) to participate in the study., Results: Higher levels of PTSS were related to a greater number of nonviable pregnancies and abortions (βs = .18-.20) as well as delivering a low birth weight baby ( OR = 1.03). Yet, these same associations were not found with cumulative trauma exposure. Conversely, greater cumulative trauma was linked with delivering a baby prematurely ( OR = 1.16). Pregnancy complications were unrelated to both PTSS and cumulative trauma., Conclusions: Cumulative trauma exposure and PTSS may have adverse effects on obstetric and perinatal outcomes and pregnant women with PTSS may be especially vulnerable. Further research is needed to replicate these findings and examine the temporal relationship between duration of PTSS and obstetric and perinatal outcomes. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Background: Racially minoritized populations experience higher rates of adverse birth outcomes than White populations in the U.S. We estimated the mediating effect of neighborhood social and physical environments on disparities in adverse birth outcomes in California., Method: We used birthing parent's residential address for California live birth records from 2019 to estimate census block group Area Deprivation Index and census tract level measures of ambient fine particulate matter (PM2.5), drinking water contamination, tree canopy coverage, as a measure of greenspace, potential heat vulnerability, and noise. We performed mediation analysis to assess whether neighborhood factors explain racial/ethnic disparities in preterm birth (PTB) and term-birth low birth weight (TLBW) comparing Black, Latinx, and Asian with White births after controlling for individual-level factors., Results: Black, Latinx, and Asian parents had PTB rates that were 67%, 36%, and 11% higher, and TLBW rates that were 150%, 38%, and 81% higher than Whites. Neighborhood deprivation contributed 7% (95% CI: 3%, 11%) to the Black-White and 9% (95% CI: 6%, 12%) to the Latinx-White disparity in PTB, and 8% (95% CI: 3%, 12%) of the Black-White and 9% (95% CI: 5%, 15%) of the Latinx-White disparity in TLBW. Drinking water contamination contributed 2% (95% CI: 1%, 4%) to the Latinx-White disparity in PTB. Lack of greenspace accounted for 7% (95% CI: 2%, 10%) of the Latinx-White PTB disparity and 7% (95% CI: 3%, 12%) of the Asian-White PTB disparity. PM2.5 contributed 11% (95% CI: 5%, 18%), drinking water contamination contributed 3% (95% CI: 1%, 7%), and potential heat vulnerability contributed 2% (95% CI: 1%, 3%) to the Latinx-White TLBW disparity. Lack of green space contributed 3% (95% CI: 1%, 6%) to the Asian-White TLBW disparity., Conclusions: Our study suggests social environments explain portions of Black/Latinx-White disparities while physical environments explain Latinx/Asian-White disparities in PTB and TLBW., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

SARS-CoV-2 utilizes the angiotensin-converting enzyme 2 (ACE2) receptors located on membranes to enter host cells. Nevertheless, the ACE2 gene primarily encodes for a zinc metalloproteinase, which is a part of the renin-angiotensin system (RAS). ACE2 downregulation results in the deregulation of RAS in favor of pro-fibrosis, pro-apoptosis, oxidative stress, pro-inflammation, aldosterone production and release, and blood vessel contraction axis. ACE2 is highly expressed in the placenta. There are both axes of the RAS system in the placenta. This study aims to assess the perinatal outcomes with ACE2 receptor polymorphisms in pregnant women infected with SARS-CoV-2 during pregnancy. The case-control study was conducted to determine the association of ACE2 single-nucleotide polymorphisms in 171 COVID-19-positive pregnant subjects and 112 control subjects. The recessive mutations of rs2158082 and rs4830974 were associated with an increased risk of low birthweight and preterm birth, whereas the dominant mutation of rs2285666 (CT + TT) was associated with decreased odds of low birthweight. COVID-19 was not a significant factor contributing to the adverse perinatal outcomes in our sampling. These findings may help to clarify the controversy regarding the increased risk of adverse perinatal outcomes observed during COVID-19 as well as provide new perspectives for research on the genetic factors associated with a higher risk of adverse perinatal outcomes.

Background: Despite progress in reducing maternal and child mortality worldwide, adverse birth outcomes such as preterm birth, low birth weight (LBW), small for gestational age (SGA), and stillbirth continue to be a major global health challenge. Developing a prediction model for adverse birth outcomes allows for early risk detection and prevention strategies. In this systematic review, we aimed to assess the performance of existing prediction models for adverse birth outcomes and provide a comprehensive summary of their findings., Methods: We used the Population, Index prediction model, Comparator, Outcome, Timing, and Setting (PICOTS) approach to retrieve published studies from PubMed/MEDLINE, Scopus, CINAHL, Web of Science, African Journals Online, EMBASE, and Cochrane Library. We used WorldCat, Google, and Google Scholar to find the grey literature. We retrieved data before 1 March 2022. Data were extracted using CHecklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies. We assessed the risk of bias with the Prediction Model Risk of Bias Assessment tool. We descriptively reported the results in tables and graphs., Results: We included 115 prediction models with the following outcomes: composite adverse birth outcomes (n = 6), LBW (n = 17), SGA (n = 23), preterm birth (n = 71), and stillbirth (n = 9). The sample sizes ranged from composite adverse birth outcomes (n = 32-549), LBW (n = 97-27 233), SGA (n = 41-116 070), preterm birth (n = 31-15 883 784), and stillbirth (n = 180-76 629). Only nine studies were conducted on low- and middle-income countries. 10 studies were externally validated. Risk of bias varied across studies, in which high risk of bias was reported on prediction models for SGA (26.1%), stillbirth (77.8%), preterm birth (31%), LBW (23.5%), and composite adverse birth outcome (33.3%). The area under the receiver operating characteristics curve (AUROC) was the most used metric to describe model performance. The AUROC ranged from 0.51 to 0.83 in studies that reported predictive performance for preterm birth. The AUROC for predicting SGA, LBW, and stillbirth varied from 0.54 to 0.81, 0.60 to 0.84, and 0.65 to 0.72, respectively. Maternal clinical features were the most utilised prognostic markers for preterm and LBW prediction, while uterine artery pulsatility index was used for stillbirth and SGA prediction., Conclusions: A varied prognostic factors and heterogeneity between studies were found to predict adverse birth outcomes. Prediction models using consistent prognostic factors, external validation, and adaptation of future risk prediction models for adverse birth outcomes was recommended at different settings., Registration: PROSPERO CRD42021281725., Competing Interests: Disclosure of interest: The authors completed the ICMJE Disclosure of Interest Form (available upon request from the corresponding author) and disclose no relevant interests., (Copyright © 2024 by the Journal of Global Health. All rights reserved.)

Background: Maternal and child health is an important measure of national well-being. This study further explored the individual and combined effects of maternal pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) on adverse birth weight-related outcomes., Methods: A retrospective study was carried out at a maternal and child health hospital from 2018 to 2021, and a total of 17,506 eligible women were invited to participate. The associations of pre-pregnancy BMI and GWG with adverse birth outcomes were examined by using restricted cubic spline regression and binary logistic regression., Results: Pre-pregnancy BMI and GWG had non-linear associations with low birth weight and macrosomia. They were associated with an increased risk of macrosomia (Pre-pregnancy BMI for OR = 1.170, 95%CI:1.144 to 1.197, P < 0.001, and GWG for OR = 1.071, 95%CI:1.054 to 1.089, P < 0.001) and large for gestational age infant (LGA) (Pre-pregnancy BMI for OR = 1.125, 95%CI:1.111 to 1.141, P < 0.001, and GWG for OR = 1.045, 95%CI:1.036 to 1.054, P < 0.001). The high risk of low birth weight and preterm birth was observed among the group of women with inadequate GWG. The risks of macrosomia and LGA increased with pre-pregnancy BMI from low weight to overweight and obesity, and GWG from inadequate to overabundance, while small for gestational age infant was more prevalent in the low pre-pregnancy BMI group., Conclusions: Pre-pregnancy BMI and GWG exhibited non-linear associations with low birth weight and macrosomia. The various combinations of pre-pregnancy BMI and GWG had different effects on adverse birth weight-related outcomes., (© 2024. The Author(s).)

Background and Aims: The birth weight of a newborn is a crucial factor that affects their overall health and future well-being. Low birth weight (LBW) is a widespread global issue, which the World Health Organization defines as weighing less than 2,500 g. LBW can have severe negative consequences on an individual's health, including neonatal mortality and various health concerns throughout their life. To address this problem, this study has been conducted using BDHS 2017-2018 data to uncover important aspects of LBW using a variety of machine learning (ML) approaches and to determine the best feature selection technique and best predictive ML model., Methods: To pick out the key features, the Boruta algorithm and wrapper method were used. Logistic Regression (LR) used as traditional method and several machine learning classifiers were then used, including, DT (Decision Tree), SVM (Support Vector Machine), NB (Naïve Bayes), RF (Random Forest), XGBoost (eXtreme Gradient Boosting), and AdaBoost (Adaptive Boosting), to determine the best model for predicting LBW. The model's performance was evaluated based on the specificity, sensitivity, accuracy, F1 score and AUC value., Results: Result shows, Boruta algorithm identifies eleven significant features including respondent's age, highest education level, educational attainment, wealth index, age at first birth, weight, height, BMI, age at first sexual intercourse, birth order number, and whether the child is a twin. Incorporating Boruta algorithm's significant features, the performance of traditional LR and ML methods including DT, SVM, NB, RF, XGBoost, and AB were evaluated where LR, had a specificity, sensitivity, accuracy and F1 score of 0.85, 0.5, 85.15% and 0.915. While the ML methods DT, SVM, NB, RF, XGBoost, and AB model's respective accuracy values were 85.35%, 85.15%, 84.54%, 81.18%, and 84.41%. Based on the specificity, sensitivity, accuracy, F1 score and AUC, RF (specificity = 0.99, sensitivity = 0.58, accuracy = 85.86%, F1 score = 0.9243, AUC = 0.549) outperformed the other methods. Both the classical (LR) and machine learning (ML) models' performance has improved dramatically when important characteristics are extracted using the wrapper method. The LR method identified five significant features with a specificity, sensitivity, accuracy and F1 score of 0.87, 0.33, 87.12% and 0.9309. The region, whether the infant is a twin, and cesarean delivery were the three key features discovered by the DT and RF models, which were implemented using the wrapper technique. All three models had the identical F1 score of 0.9318. However, "child is twin" was recognized as a significant feature by the SVM, NB, and AB models, with an F1 score of 0.9315. Ultimately, with an F1 score of 0.9315, the XGBoost model recognized "child is twin" and "age at first sex" as relevant features. Random Forest again beat the other approaches in this instance., Conclusions: The study reveals Wrapper method as the optimal feature selection technique. The ML method outperforms traditional methods, with Random Forest (RF) being the most effective predictive model for Low-Birth-Weight prediction. The study suggests that policymakers in Bangladesh can mitigate low birth weight newborns by considering identified risk factors., (© 2024. The Author(s).)

Background: Globally, every year, 20 million neonates are born with weights below 2500 g and are considered low birth weight (LBW). About 90% of these births occur in low- and middle-income countries. Information regarding the geographical variation, socioeconomic inequalities of LBW neonates, and the relationship between maternal inadequate dietary diversity and LBW is limited in rural areas of Bangladesh. We aimed to explore the geographical disparities and socioeconomic inequalities in the prevalence of LBW and its association with inadequate maternal dietary diversity., Methods: We extracted data from a large-scale evaluation programme conducted as a part of the maternal infant and young child nutrition phase two in Bangladesh, implemented by BRAC. We used the concentration index (CIX) to measure the socioeconomic inequalities of LBW. We performed a cluster-adjusted multiple logistic regression analysis to determine the association between LBW and maternal dietary diversity., Results: A total of 4651 children aged <5 years with their mother's information were included. The overall prevalence of LBW was 13.5%. About 16% of mothers living in the poorest wealth quintile gave birth to LBW babies, whereas 10% of mothers living in the richest households gave birth to LBW babies. The CIX exhibited LBW babies were more prevalent among the socioeconomically worst-off (poorest) group (CIX = -0.08), indicating mothers of the poorest households are vulnerable to giving birth to normal-weight babies. An adjusted multiple logistic regression model indicated that mothers with inadequate dietary diversity had higher odds (adjusted odds ratio (AOR) = 1.27; 95% confidence interval (CI) = 1.04, 1.54) of giving birth to LBW babies. Notably, in the interaction of mothers' age and dietary diversity, we found that adolescent mothers (aged ≤ 19 years) with inadequate dietary diversity had 2.56 times (AOR = 2.56; 95% CI = 1.14, 5.76) higher odds of giving birth to LBW babies compared to adult mothers (aged >19 years) who consumed diversified foods., Conclusions: Intervention strategies for reducing LBW prevalence should target the poorest households. Also, interventions for improving the dietary diversity of adolescent pregnant mothers are expected to reduce the number of LBW babies from the rural areas of Bangladesh., Competing Interests: Disclosure of interest: The authors completed the ICMJE Disclosure of Interest Form (available upon request from the corresponding author) and disclose no relevant interests., (Copyright © 2024 by the Journal of Global Health. All rights reserved.)

Aim: To explore the risk factors for low-birth-weight infants born to pregnant women with GDM to develop a prediction model and to construct a prediction nomogram for the risk of low birth weight infants born to pregnant women with GDM., Methods: The clinical data of singleton infants diagnosed with gestational diabetes mellitus in Southeast China in 2019 were retrospectively reviewed. Gestational conditions and neonatal weight were assessed., Results: A total of 386 diabetic mothers and infants were enrolled, including 193 in the low birth weight group and 193 in the normal birth weight group. The statistically significant factors were age over 36 years (OR = 1.916, 95% CI 1.048-3.505), junior high school education (OR = 4.454, 95% CI 1.882-10.543), history of fetal distress (OR = 0.120, 95% CI 0.016-0.925), gestational hypertension (OR = 3.681, 95% CI 1.357-9.986), preeclampsia (OR = 24.652, 95% CI 5.956-102.036), threatened preterm birth (OR = 18.393, 95% CI 8.457-39.999), triglycerides (OR = 0.642, 95% CI 0.485-0.850), and inadequate gestational weight gain (OR = 1.997, 95% CI 1.162-3.432). The area under the receiver operating characteristic curve (AUC) was 0.834 (95% CI: 0.794-0.874, p  < 0.001), and the sensitivity and specificity were 82.38 and 87.56%, respectively. The goodness-of-fit test likelihood ratio 2 was 2.089 ( p  = 0.978). The comprehensive nomogram model showed that the discrimination and mean absolute error were 0.834 and 0.015, respectively. The calibration curves showed acceptable agreement between the predictions of the column line plots and the observations. The DCA curves showed good positive net yields in the prediction model., Discussion: This study established a prediction model and risk score for low birth weight in pregnant women with GDM. It helps pregnancy clinics to identify the risk of low birth weight in newborns promptly, in addition to glycemic control and weight management for pregnant women with GDM, and should improve the appropriate treatment plan for pregnant women with higher risk, to provide personalized and precise treatment for pregnant women with GDM and improve infant outcomes., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Pan, Huang and Jiang.)

Background: Quality caregiver-infant interaction is crucial for infant growth, health, and development. Traditional methods for evaluating the quality of caregiver-infant interaction have predominantly relied on rating scales or observational techniques. However, rating scales are prone to inaccuracies, while observational techniques are resource-intensive. The utilization of easily collected medical records in conjunction with machine learning techniques offers a promising and viable strategy for accurate and efficient assessment of caregiver-infant interaction quality., Methods: This study was conducted at a follow-up outpatient clinic at two tertiary maternal and infant health centers located in Shanghai, China. 68 caregivers and their 3-15-month-old infants were videotaped for 3-5 min during playing interactions in non-threatening environment. Two trained experts utilized the Infant CARE-Index (ICI) procedure to assess whether the caregivers were sensitive or not in a dyadic context. This served as the gold standard. Predictors were collected through Health Information Systems (HIS) and questionnaires, which included accessible features such as demographic information, parental coping ability, infant neuropsychological development, maternal depression, parent-infant interaction, and infant temperament. Four classification models with fivefold cross-validation and grid search hyperparameter tuning techniques were employed to yield prediction metrics. Interpretable analyses were conducted to explain the results., Results: The score of sensitive caregiver-infant interaction was 6.34 ± 2.62. The Random Forest model gave the best accuracy (83.85%±6.93%). Convergent findings identified infant age, care skills of infants, mother age, infant temperament-regulatory capacity, birth weight, positive coping, health-care-knowledge-of-infants, type of caregiver, MABIS-bonding issues, ASQ-Fine Motor as the strongest predictors of interaction sensitivity between infants and their caregiver., Conclusions: The proposed method presents a promising and efficient approach that synergistically combines rating scales and artificial technology to detect important features of caregiver-infant interactions. This novel approach holds several implications for the development of automatic computational assessment tools in the field of nursing studies., (© 2024. The Author(s).)

Background: Neonatal mortality, a sensitive indicator which indicates the availability, utilization, and effectiveness of maternal and child health services in the community, are major global public health challenges. The objective of the study was to find out the maternal and neonatal factors associated with neonatal mortality in selected hospitals of Nepal., Methods: This was a hospital based prospective follow up study conducted among babies nested for case control study design. Among 1104 babies, 368 babies with LBW and 736 babies with normal birth weight were followed up after 28 days of birth and mortality was assessed., Results: Neonatal mortality was about 10/1000 live birth. In multivariable logistic regression analysis, father with no formal education [AOR:12.54, 95% CI:(2.61-60.13), p=0.002], multi parity [AOR:11.26, 95% CI:(1.25-100.89), p=0.030] and depressed (<7) APGAR score at 5 minutes of birth[AOR:7.44, 95% CI:(1.18-46.80), p=0.032] were significantly associated with neonatal mortality., Conclusions: The study identified ‘father with no formal education, multi parity and low APGAR score at 5 minutes of birth’ as the major contributors to neonatal mortality. Improving parental education, and access to child health care will help to improve neonatal outcome.

Stunting continues to be a significant health issue, particularly in developing nations, with Indonesia ranking third in prevalence in Southeast Asia. This research examined the risk of stunting and influencing factors in Indonesia by implementing various Bayesian spatial conditional autoregressive (CAR) models that include covariates. A total of 750 models were run, including five different Bayesian spatial CAR models (Besag-York-Mollie (BYM), CAR Leroux and three forms of localised CAR), with 30 covariate combinations and five different hyperprior combinations for each model. The Poisson distribution was employed to model the counts of stunting cases. After a comprehensive evaluation of all model selection criteria utilized, the Bayesian localised CAR model with three covariates were preferred, either allowing up to 2 clusters with a variance hyperprior of inverse-gamma (1, 0.1) or allowing 3 clusters with a variance hyperprior of inverse-gamma (1, 0.01). Poverty and recent low birth weight (LBW) births are significantly associated with an increased risk of stunting, whereas child diet diversity is inversely related to the risk of stunting. Model results indicated that Sulawesi Barat Province has the highest risk of stunting, with DKI Jakarta Province the lowest. These areas with high stunting require interventions to reduce poverty, LBW births and increase child diet diversity.

Objective: Hospital-based labor and delivery units are closing at increasing rates in the rural US, significantly impacting maternal and newborn health. The objective of this study to determine if rurality-measured as distance from the hospital-and socioeconomic status-measured as insurance payor-impact both spontaneous and medically indicated preterm birth incidence at a single rural academic institution., Methods: This was a retrospective cohort study using electronic medical records of patients with singleton pregnancies delivering at a single rural academic institution between 2016-2018. The primary outcome was preterm delivery (PTD) and secondary outcomes included low birth weight (LBW) and intensive care nursery (ICN) admission. The primary exposures included (1) travel time from a patient's address to the hospital and (2) insurance carrier as a proxy for socioeconomic status. Bivariate analyses indicated that travel time, insurance status, race, ethnicity, marital status, number of prenatal visits, gravida and para, and smoking status were significant predictors of all outcomes (LBW, ICN admission, and PTD). Therefore, these predictors were included in the multivariable logistic models., Results: Within the multivariable logistic model, patients traveling 1-1.5 hours had approximately twice the odds of PTD (Odds Ratio, OR: 2.08, 95% Confidence Interval CI, 1.32, 3.29, p = .002), birth of a LBW neonate (OR: 2.15; 95% CI: 1.29-3.58, p = .005), and infant admission to the ICN (OR 1.83, 95% CI: 1.22-2.76, p = .004) compared to patients traveling under 30 minutes,. Insurance carrier status was not associated with increased odds of PTD, LBW, or ICN admission., Conclusion: Patients living 1-to-1.5 hours from the hospital had an increased risk for LBW, ICN admission, and PTD, despite living in zip codes with less social deprivation than zip codes further away from the hospital., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Darivemula et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Early exposure to human milk and time to first trophic feed in low birth weight (LBW) infants (<2 kg) is associated with a decreased risk of mortality, sepsis, and length of hospital stay. This project, focused on infants born at less than 2 kg, aimed to identify the mean time to first feed after birth, identify barriers to initiation of the first feed, and meet the target of having 90% of infants receive their first feed within the first 6 hours of life. This quality improvement (QI) project occurred in a thirty-bed level III NICU over 29 months using two Plan-Do-Study-Act (PDSA) cycles. A first-feed audit tool and a multifaceted educational plan were at the forefront of this initiative. Interventions were multidisciplinary, targeted, and extended to all healthcare team members caring for LBW infants, including staff of Labor and Delivery, the NICU, and the Child Health Transport Team. At the end of the QI project, 91.3% of inborn infants and 27.5% of outborn infants were being fed by 6 hours of age, compared with 78.8% and 12.5%, respectively, prior to the project. The mean time to first feed for inborn infants after the PDSA cycles was reduced to 4.4 hours, having a decrease of 80 minutes. A multidisciplinary approach was a key factor in the success of this QI initiative. Increasing staff education and improving clinical practice guidelines regarding the importance of early exposure to human milk are associated with reducing first feed times after birth., (© 2024 Springer Publishing Company, LLC.)

Background: Risk of preterm birth (PTB) and low birth weight (LBW) due to hydraulic fracturing (HF) exposure is a growing concern. Regional studies have demonstrated links, but results are often contradictory among studies., Objectives: This is the first US national study to our knowledge linking fracturing fluid ingredients to the human hormone pathways targeted-estrogen, testosterone, or other hormones (e.g., thyroid hormone)-to assess the effect of HF ingredients on rates of PTB and LBW., Methods: We constructed generalized linear regression models of the impact of HF well density and hormone targeting chemicals in HF fluids (2001-2018) on the county-level average period prevalence rates of PTB and LBW (2015-2018) with each outcome measured in separate models. Our data sources consisted of publicly available datasets, including the WellExplorer database, which uses data from FracFocus, the March of Dimes Peristats, the US Census Bureau, the US Department of Agriculture, and the Centers for Disease Control and Prevention. We conducted additional stratified analyses to address issues of confounding. We used stratification to address issues regarding outcomes in rural vs. urban communities by assessing whether our models achieved similar results in nonmetro counties, as well as farming and mining counties. We also stratified by the year of the HF data to include HF data that was closer to the time of the birth outcomes. We also added covariate adjustment to address other important factors linked to adverse birth outcomes, including the proportion of the population belonging to various racial and ethnic minority populations (each modeled as a separate variable); education (bachelor's degree and high school); use of fertilizers, herbicides, and insecticides, acres of agricultural land per square mile; poverty; insurance status; marital status; population per square mile; maternal care deserts; and drug deaths per 100,000 people., Results: We found that the density of HF wells in a county was significantly associated with both PTB and LBW rates (percentage of live births) in our fully adjusted models. We report the results from our more restrictive stratified analysis with a subset including only the 2014-2018 data, because this resulted in the most meaningful time frame for comparison. Across all models, the magnitude of effect was highest for wells with ingredients that include estrogen targeting chemicals (ETCs), testosterone targeting chemicals (TTCs) and other hormone targeting chemicals (OHTCs), and, finally, all wells grouped regardless of chemical type. For every unit increase in well density per square mile of wells that use chemicals that include an ETC, we observed a 3.789-higher PTB rate (95% CI: 1.83, 5.74) compared with counties with no ETC wells from 2014 to 2018 and likewise, we observed a 1.964-higher LBW rate (95% CI: 0.41, 3.52). Similarly, for every unit increase in well density per square mile of wells that use TTC, we observed a 3.192-higher PTB rate (95% CI: 1.62, 4.77) compared with counties with no TTC wells. Likewise, for LBW, we found a 1.619-higher LBW rate (95% CI: 0.37, 2.87). We also found that an increase in well density per square mile among wells that use chemicals that include an OHTC resulting in a 2.276-higher PTB rate (95% CI: 1.25, 3.30) compared with counties with no OHTC wells, and for LBW, we found a 1.244-higher LBW rate (95% CI: 0.43, 2.06). We also explored the role of HF well exposure in general (regardless of the chemicals used) and found that an increase in total well density (grouped regardless of hormonal targeting status of the chemicals used) resulted in a 1.228-higher PTB rate (95% CI: 0.66, 1.80) compared with counties with no wells, and for LBW, we found a 0.602-higher LBW rate (95% CI: 0.15, 1.05) compared with counties with no wells. We found similar results in our primary analysis that used all data without any exclusions and the statistical significance did not change., Discussion: Our findings reinforce previously identified regional associations between HF and PTB and LBW, but on a national scale. Our findings point to dysregulation of hormonal pathways underpinning HF exposure risk on birth outcomes, which warrants further exploration. Future research must consider the specific ingredients used in HF fluids to properly understand the differential effects of exposure. https://doi.org/10.1289/EHP12628.

Low birth weight (LBW) is a global health concern. While it is commonly associated with maternal health and behavior, exposure to ambient air pollution, can also play a role in contributing to LBW. In Brazil, where diverse environmental conditions and regional disparities exist, assessing the impact of ambient air pollution on LBW becomes particularly pertinent. To our knowledge, there is a gap in the existing literature, as no previous study has specifically investigated the relationship between ambient air pollution and LBW nationwide in Brazil. This study aims to fill this gap by examining the association between ambient air pollution and LBW in each trimester of pregnancy across the Brazilian states. In this work, birth data from January 1, 2001, to December 31, 2018 has been used. We utilized logistic regression models to estimate the odds ratio (OR) for low birth weight (LBW) associated with ambient air pollution (PM 2.5 , NO 2 , and O 3 ) during each trimester of pregnancy (1st to 3rd trimester) across all 27 Brazilian states in our nationwide case-control study. We adjusted our model for several variables, including ambient temperature, relative humidity, and socioeconomic status (SES) variables at the individual level. We also conducted effect modification analyses by infant sex, mother's age, and the number of prenatal visits. Our study comprises over 10,213,144 birth records nationwide. Of these, 479,204 (4.92%) infants were included as cases of LBW. Our results indicate positive associations between PM 2.5 and LBW, mainly in the Southern region. For example, in the state of Santa Catarina (South region), ORs were 1.003 (95% CI: 1.002, 1.004), 1.003 (95% CI: 1.002, 1.004), and 1.005 (95% CI: 1.003, 1.007) for the 1st, 2nd, and 3rd trimesters of exposure, respectively. NO 2 had a robust association with LBW in the Northern and Northeastern states, including the state of Amapá (North region, where the Amazon Forest is located) with ORs of 1.377 (95% CI: 1.010, 1.878), 1.390 (95% CI: 1.020, 1.894), and 1.747 (95% CI: 1.297, 2.352) for the 1st, 2nd, and 3rd trimesters of exposure, respectively. Similarly, O 3 had a robust association in the North and Midwest states, as observed in the state of Amapá with ORs of 1.033 (95% CI: 1.012, 1.054), and 1.033 (95% CI: 1.013, 1.053) for the 2nd, and 3rd trimesters, respectively. In the stratified analysis, boys were more vulnerable than girls, and the lower number of prenatal visits was associated with higher OR. Our findings are essential to the development of guidelines to prevent maternal exposure and protection of newborns in Brazil. This study provides valuable insights for region-specific strategies to improve maternal and neonatal health., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests:Weeberb J Requia reports financial support was provided by National Council for Scientific and Technological Development., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Background: Complications of prematurity are the leading cause of under-5 mortality globally and 80% of newborn deaths are of low birth weight (LBW) babies. Early identification of LBW and preterm infants is crucial to initiate timely interventions., Objective: To evaluate the feasibility and diagnostic accuracy of alternative neonatal anthropometric measurements in identifying LBW and preterm infants in Africa., Methods: In this systematic review and meta-analysis, we evaluated the diagnostic performance of infant foot length, mid-upper arm circumference (MUAC), head and chest circumferences against birth weight and gestational age. Pooled correlation between the index and the reference methods was estimated. Multiple anthropometric thresholds were considered in estimating the pooled sensitivity, specificity and area under receiver operating characteristic curve (AUC)., Results: 21 studies from 8 African countries met the inclusion criteria. Correlation coefficients with birth weight were 0.79 (95% CI 0.70 to 0.85) for chest circumference, 0.71 (95% CI 0.62 to 0.78) for MUAC and 0.66 (95% CI 0.59 to 0.73) for foot length. Foot length measured by rigid ruler showed a higher correlation than tape measurement. Chest circumference with 28.8 cm cut-off detects LBW babies with AUC value of 0.92 (95% CI 0.71 to 0.97). Foot length identified preterm infants, with 82% sensitivity, 89% specificity and AUC of 0.91 (95% CI 0.69 to 0.98) at a 7.2 cm optimal cut-off point. MUAC had an AUC of 0.83 (95% CI 0.47 to 0.95) for preterm detection. In identifying LBW babies, foot length and MUAC have AUC values of 0.89 (95% CI 0.70 to 0.96) and 0.91 (95% CI 0.73 to 0.97) at 7.3 cm and 9.8 cm optimal cut-off points, respectively. Foot length and MUAC are relatively simple and minimise the risk of exposing infants to cold., Conclusion: Newborn foot length, MUAC, head and chest circumferences have comparable diagnostic accuracy in identifying LBW and preterm babies. Using foot length and MUAC in low-resource settings are the most feasible proxy measures for screening where weighing scales are not available., Prospero Registration Number: CRD42023454497., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Aim: Although vitamin D deficiency in smokers has a greater risk of low birth weight than vitamin D deficiency or smoking alone, there is no study searching birth weight in vitamin D deficient passive smokers. We evaluated the effect of vitamin D deficiency on birth weight in active and passive smokers. Additionally, we aimed to determine the predictive role of vitamin D for low birth weight in smokers., Methods: The study was designed as a retrospective case control study. A total of 210 participants were divided into three groups: active smoking (n = 34), passive smoking (n = 79), and non-smokers (n = 97). Then passive smokers were divided into two subgroups as vitamin D ≥ 20 ng/mL (n = 23) and vitamin D < 20 ng/mL (n = 56). Sociodemographic, laboratory, and perinatal characteristics were recorded and compared between groups., Results: Birth weight was higher in non-smokers as compared to active (p < 0.001) and passive (p = 0.001) smokers, and also in passive than active smokers (p = 0.023). In passive smokers, birth weight was lower in vitamin D < 20 ng/mL group (p < 0.001). Vitamin D were correlated with birth weight in all smokers (r = 0.653, p < 0.001), passive (r = 0.624, p < 0.001) and active smokers (r = 0.526, p = 0.001). Vitamin D ≤ 14 ng/mL predicted low birth weight with 100% sensitivity and 53.92% specificity in smokers (area under curve [AUC] = 0.773, p < 0.001), with 100% sensitivity and 63.5% specificity in passive smokers (AUC = 0.759, p < 0.001) while vitamin D ≤ 11 ng/mL predicted with 83.33% sensitivity and 71.43% specificity in active smokers (AUC = 0.774, p = 0.008)., Conclusion: Vitamin D deficiency in smokers is associated with low birth weight. Although vitamin D supplementation is not routinely recommended in pregnant women, we suggest that it could be an option in preventing low birth weight in smokers, even passive ones, who do not have adequate dietary intake and have insufficient exposure to daylight., (© 2024 Japan Society of Obstetrics and Gynecology.)

Objective: The National Health Service Corps (NHSC) attracts clinicians to Health Professional Shortage Areas (HPSAs) through scholarships and loan repayments. Since 2009, the NHSC workforce, including maternity care clinicians, has substantially expanded. This study evaluates the association between NHSC expansion and prenatal care and birth outcomes., Methods: In this quasi-experimental study, we adopted a generalized difference-in-differences design to compare changes in prenatal care and birth outcomes from 2005 to 2019 using birth certificate data. Counties designated as HPSAs without any NHSC maternity care clinicians throughout the study period were control counties, and those without such clinicians before 2009 but receiving them after 2009 were treated counties. Outcome measures include a count variable of number of prenatal visits and four dichotomous variables: prenatal care initiation in the first trimester, adequacy of prenatal care, preterm birth, and low birth weight. We estimated negative binomial models for number of prenatal visits and linear probability models for the dichotomous outcomes, adjusting for maternal characteristics, non-NHSC clinician density, and state-level policies. Stratified analyses were also conducted on the basis of birthing people's demographics and county-level characteristics., Results: Our sample comprised 12,980,111 live births between 2005 and 2019 by individuals residing in 1,254 HPSA counties without any NHSC maternity care clinicians before 2009, including 222 counties that received such clinicians after 2009. Compared with control counties, pregnant people in treated counties experienced significant increases in prenatal visits (211 more prenatal visits relative to baseline of 11,226 visits per 1,000 births, P <.001) and in the likelihood of receiving adequate prenatal care (1.43 percentage point increase relative to baseline of 67.0 percentage points, P <.01). Although the NHSC expansion improved prenatal care use for all racial and ethnic groups, pregnant people residing in urban and high social vulnerability areas benefited most. Improvements in birth outcomes were observed only among certain subgroups such as a 0.91 percentage point reduction in preterm birth (relative to baseline of 12.6 percentage points, P <.001) and a 0.87 percentage point reduction in low birth weight (relative to baseline of 8.2 percentage points, P <.05) among pregnant people living in full-county HPSAs., Conclusion: The NHSC expansion since 2009 was associated with increases in prenatal care utilization, particularly among vulnerable populations. Although improvements were not observed in birth outcomes overall with NHSC expansion, modest reductions were observed in preterm birth and low birth weight in subsets of the population., Competing Interests: Financial Disclosure Fang Zhang disclosed that their institution received funding from Pfizer and GlaxoSmithKline. The other authors did not report any potential conflicts of interest., (Copyright © 2024 by the American College of Obstetricians and Gynecologists. Published by Wolters Kluwer Health, Inc. All rights reserved.)

Background: Undernutrition during pregnancy increases the risk of giving birth to a small vulnerable newborn. Small-quantity lipid-based nutrient supplements (SQ-LNSs) contain both macro- and micronutrients and can help prevent multiple nutritional deficiencies., Objectives: We examined the effects of SQ-LNSs provided during pregnancy compared with 1) iron and folic acid or standard of care (IFA/SOC) or 2) multiple micronutrient supplements (MMSs) and identified characteristics that modified the estimates of effects of SQ-LNSs on birth outcomes., Methods: We conducted a 2-stage meta-analysis of individual participant data from 4 randomized controlled trials of SQ-LNSs provided during pregnancy (n = 5273). We generated study-specific and subgroup estimates of SQ-LNS compared with IFA/SOC or MMS and pooled the estimates. In sensitivity analyses, we examined whether the results differed depending on methods for gestational age dating, birth anthropometry, or study design., Results: SQ-LNSs (compared with IFA/SOC) increased birth weight [mean difference: +49 g; 95% confidence interval (CI): 26, 71 g] and all birth anthropometric z-scores (+0.10-0.13 standard deviation); they reduced risk of low birth weight by 11%, newborn stunting by 17%, newborn wasting by 11%, and small head size by 15%. Only 2 trials compared SQ-LNSs and MMSs; P values for birth outcomes were >0.10 except for head circumference (e.g., z-score for gestational age: +0.11; 95% CI: -0.01, 0.23). Effect estimates for SQ-LNSs compared with IFA/SOC were greater among female infants and, for certain outcomes, among mothers with body mass index <20 kg/m 2 , inflammation, malaria, or household food insecurity. Effect estimates for SQ-LNSs compared with MMSs were greater for certain outcomes among female infants, first-born infants, and mothers <25 y., Conclusions: SQ-LNSs had positive impacts on multiple outcomes compared to IFA/SOC, but further research directly comparing SQ-LNSs and MMSs is needed. Targeting SQ-LNSs to vulnerable subgroups may be worth considering., Clinical Trial Registry: This study was registered at PROSPERO as CRD42021283391., Competing Interests: Conflict of interest N.F.K. is on the Editorial Board of the American Journal of Clinical Nutrition and played no role in the Journal’s evaluation of the manuscript., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)

Background: The literature on cognitive and academic outcomes for children with sickle cell disease (SCD) who experience perinatal risk factors is limited. We aimed to evaluate if low birthweight (LBW), gestational age, and history of neonatal intensive care unit (NICU) admission were associated with neurocognitive functioning, grade retention, or receipt of early intervention or formal educational support in children with SCD., Procedures: This prospective birth cohort study included 336 participants, ages 8-18, with SCD, who received cognitive testing as part of standard of care and whose caregivers completed behavioral rating scales. Multivariable generalized linear regression models were used to examine associations between perinatal risks and outcome variables, after adjusting for demographic and medical covariates., Results: The prevalence of NICU admission and LBW were 12.03% and 13.50%, respectively. Lower birthweight, earlier gestational age, and NICU admission were associated with worse working memory performance and receipt of early intervention services. Lower birthweight and NICU admission were also associated with slower processing speed. History of NICU admission was associated with caregiver ratings of hyperactivity and emotional dysregulation. The effects of perinatal risk factors on neurocognitive, academic, or educational outcomes were not dependent on SCD genotype., Conclusions: History of LBW or NICU admission was associated with worse cognitive outcomes and increased use of early intervention services among children with SCD. Early identification of perinatal risk factors will help identify children who will benefit from formal developmental or neuropsychological evaluations to manage the comorbidity of SCD and perinatal risks and facilitate increased intervention., (© 2024 Wiley Periodicals LLC.)

Background: The birthweight of a newborn is critical to their health, development, and well-being. Previous studies that used maternal characteristics to predict birthweight did not employ a harmonised scale to assess the risk of low birthweight (LBW)., Objective: The goal of this study was to develop a new instrument that uses items on a uniform scale to assess the risk of an LBW in a pregnant woman., Methods: Item response theory was employed to evaluate a similar existing scale, and some weaknesses were identified., Results: Based on the observed weaknesses of the existing scale, a new uniform scale was developed, which is a 3-point Likert scale consisting of seven items., Conclusion: The scale, termed birthweight questionnaire, is a valuable tool for collecting data that could assist in assessing the risk of an LBW at every stage of pregnancy., (© 2024 John Wiley & Sons Ltd.)

Aims: Previous studies have shown that higher hemoglobin A1c (HbA1c) levels within the normal range during pregnancy can increase the risk of adverse birth outcomes. However, the effects of the longitudinal HbA1c trajectory during pregnancy on adverse birth outcomes among non-gestational diabetic women are poorly characterized. We aimed to identify HbA1c trajectory during pregnancy among non-gestational diabetic women and to estimate their associations with adverse birth outcomes., Methods: Data was extracted from the Information System of Guangdong Women and Children Hospital, China, from January 2017 to July 2022. This study involved 13,979 women who did not have gestational diabetes mellitus and underwent repeated HbA1c measurements during pregnancy. Latent mixture modeling was used to identify HbA1c trajectory groups. Logistic regression was applied to explore the associations between HbA1c trajectory groups and adverse birth outcomes, including preterm delivery, low birth weight, macrosomia, small for gestational age, and large for gestational age (LGA)., Results: Three HbA1c trajectory groups were identified: low-stable (range 4.0% [20 mmol/mol]-4.4% [25 mmol/mol]), moderate-stable (range 4.6% [27 mmol/mol]-5.1% [32 mmol/mol]), and elevated-increasing (range 5.0% [31 mmol/mol]-5.6% [38 mmol/mol]). Compared with the low-stable HbA1c group, the elevated-increasing group had a higher risk of preterm delivery and LGA. The adjusted OR (95% CIs) were 1.67 (1.13, 2.49) and 1.47 (1.01, 2.12) for preterm delivery and LGA, respectively., Conclusions: Among non-gestational diabetic women, the elevated-increasing HbA1c trajectory group was associated with a higher risk of preterm delivery and LGA. This finding emphasizes the importance of maintaining optimal HbA1c levels throughout pregnancy., (© 2024. Springer-Verlag Italia S.r.l., part of Springer Nature.)

Objective: To investigate the effect of the Assisted Reproduction Act, implemented in 2007 in Taiwan to reduce the number of embryos to transfer, on the trends over time regarding the rate of multiple births, preterm delivery, low birth weight (LBW), and small for gestational age (SGA) among deliveries using assisted reproductive technology (ART)., Study Design: From the Birth Reporting Registry and the Assisted Reproduction Registry, we retrieved data of 4 016 530 live birth deliveries between 2001 and 2020; among them 71 000 (1.77%) were after ART. We calculated the rate of multiples and perinatal outcomes per 1000 deliveries annually from 2001 to 2020 for deliveries using and not using ART and computed the population attributable risk. We performed interrupted time series to assess the effect of the intervention, ie, the Assisted Reproduction Act., Results: The proportion of deliveries following ART was 0.57% in 2001 and increased to 4.03% in 2020. After the intervention, there were decreasing trends over time for rates of multiples (-10.63 per year, P < .001), preterm delivery (-6.74, P = .003), LBW (-9.38, P < .001), and SGA (-4.48, P = .001) among ART deliveries. There was also an immediate decrease right after intervention (-53.45, P = .005) for SGA after ART. The population attributable risk trends before and after intervention were both increasing for all outcomes., Conclusions: The Assisted Reproduction Act in Taiwan was associated with a decreasing trend of multiples, preterm delivery, LBW, and SGA over time since 2008 among ART deliveries. In particular, there was an immediate decrease of SGA right after the intervention., Competing Interests: Declaration of Competing Interest The authors declare no conflicts of interest., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Objectives: The prevalence of low birth weight (LBW) is an important indicator of child health and wellbeing. However, in many countries, decisions regarding care and treatment are often based on mothers' perceptions of their children's birth size due to a lack of objective birth weight data. Additionally, birth weight data that is self-reported or recorded often encounters the issue of heaping. This study assesses the concordance between the perceived birth size and the reported or recorded birth weight. We also investigate how the presence of heaped birth weight data affects this concordance, as well as the relationship between concordance and various sociodemographic factors., Methods: We examined 4,641 birth records reported in the 2019 Bangladesh Multiple Indicator Cluster Survey. The sensitivity-specificity analysis was performed to assess perceived birth size's ability to predict LBW, while Cohen's Kappa statistic assessed reliability. We used the kernel smoothing technique to correct heaping of birth weight data, as well as a multivariable multinomial logistic model to assess factors associated with concordance., Results: Maternally-perceived birth size exhibited a low sensitivity (63.5%) and positive predictive value (52.6%) for predicting LBW, but a high specificity (90.1%) and negative predictive value (93.4%). There was 86.1% agreement between birth size and birth weight-based classifications (Kappa = 0.49, indicating moderate agreement). Smoothed birth weight data did not improve agreement (83.4%, Kappa = 0.45). Of the sociodemographic factors, early marriage was positively associated with discordance (i.e., overestimation)., Conclusions: An important consideration when calculating the LBW prevalence is that maternally perceived birth size is not an optimal proxy for birth weight. Focus should be placed on encouraging institutional births and educating community health workers and young mothers about the significance of measuring and recording birth weight., (© 2024. The Author(s).)

Background: Deaf and hard-of-hearing (DHH) people are at higher risk than their non-DHH counterparts of experiencing adverse birth outcomes. There is a lack of research focusing on social, linguistic, and medical factors related to being DHH which may identify groups of DHH people who experience more inequity., Objective: Examine difference in prevalence of cesarean and adverse birth outcomes among diverse sub-groups of DHH people., Methods: We conducted a cross-sectional survey of DHH birthing people in the U.S. who gave birth within the past 10 years. The sample was predominantly white, college educated, and married. We assessed cesarean birth and three adverse birth outcomes: preterm birth, low birthweight, and NICU admission post-delivery. DHH-specific variables were genetic etiology of hearing loss, preferred language (i.e., American Sign Language, English, or bilingual), severity of hearing loss, age of onset of hearing loss, and self-reported quality of perinatal care communication. We estimated prevalence, 95 % confidence intervals, and unadjusted prevalence ratios., Results: Thirty-one percent of our sample reported a cesarean birth. Overall, there were no significant differences in prevalence across the outcome variables with respect to preferred language, genetic etiology, severity, and age of onset. Poorer perinatal care communication quality was associated with higher prevalence of preterm birth (PR = 2.37) and NICU admission (PR = 1.91)., Conclusions: Our study found no evidence supporting differences in obstetric outcomes among DHH birthing people across medical factors related to deafness. Findings support the important role of communication access for DHH people in healthcare environments., Competing Interests: Declaration of competing interest The authors have no conflicts of interest to disclose., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Objectives: Birthweight (BW) indicates newborn health and is a risk factor for development of chronic diseases later in life. The aim was to investigate whether or not prenatal physical activity (PA) influences BW extremes and how PA influences BW extremes in those diagnosed with pregnancy-related diseases., Design: We performed a scoping review., Methods: Searches were completed on five databases and studies identified were uploaded to Covidence., Results: Across the five databases 3114 studies were identified and after screening, 69 of these studies were used for the final review. Of the 61 studies that considered low BW (LBW)/small for gestational age (SGA) infants, the majority of results (69 %) indicated that PA during pregnancy had no significant impact on LBW or SGA infants. In addition, 11 % of studies reported a significant decrease in the prevalence of LBW infants, however two studies (3 %) reported a significant increase in LBW or SGA infants, likely relating to individuals with high body mass index and poor adherence to PA. Of the 41 studies that did report LGA/macrosomia, 34 % reported that PA significantly reduced the prevalence of higher BW infants. One study reported the association between meeting exercise recommendations and reducing the odds of LGA infants in those with pregnancy-related diseases., Conclusions: We provide evidence on the association of prenatal PA with BW extremes. It is suggested that prenatal PA does not increase the risk of delivering LBW/SGA infants and may reduce the prevalence of large BW infants. Further research is needed to confirm these relationships and explain their underlying mechanisms., Competing Interests: Declaration of competing interest We have no conflict of interest., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Patients with hypertensive disorders of pregnancy (HDP) are at increased risk of maternal-fetal complications and represent the third leading cause of maternal mortality. To date, it is known that women experiencing this condition during pregnancy have a higher future risk of cardiovascular events (CVD). Our objective was to report the incidence of new-onset hypertension in the postpartum period. We conducted a cohort study in high-risk pregnant patients who underwent ambulatory blood pressure monitoring (ABPM) between weeks 20-30. Patients were categorized as normotensive (NT) or gestational hypertensive (GH), excluding those with chronic hypertension, and were followed until the end of pregnancy with a postpartum assessment after 3months. Patients with HDP (39%) had a higher incidence of preeclampsia and newborns with low birth weight and preterm birth. A total of 177 pregnant women were analyzed for the primary outcome. Among those with GH, 33.3% vs 17.2% of NT (P=.014) reported new-onset hypertension. The odds ratio for developing new-onset hypertension was 2.3 (95%CI: 1.20-4.77), for those with GH. In conclusion, pregnant patients with GH assessed by ABPM between 20-30weeks are at higher risk of developing new-onset hypertension in the postpartum period, emphasizing the need for closer monitoring and control to prevent future cardiovascular complications., (Copyright © 2024 SEH-LELHA. Publicado por Elsevier España, S.L.U. All rights reserved.)

Background: In preterm infants, low birth weight represents one of the major risk factors for health and developmental issues. In Italy, most of the studies are focused on extremely preterm or very and extremely low birth weight (VLBW, ELBW) children, whereas little data are available on the neurodevelopmental outcome of low birth weight (LBW) children. We aimed to study the developmental profile of a group of preterm children comparing cognitive, language and motor performances between LBW and VLBW., Methods: We assessed 108 children born preterm (53 LBW and 55 VLBW) at 12 months of corrected age (M=12.9 months; SD=0.95) with Bayley III. We compared the mean scores between and within groups and the rates of mild and severe delay using the Italian norms., Results: LBW children performed better than VLBW peers, particularly in the cognitive and gross motor areas. No differences between groups were found in relation to language subscales. The rate of mild and severe delay is elevated in both groups, resulting significantly higher in the VLBW group only in the motor area., Conclusions: These results strongly suggest the need of a multidisciplinary follow-up to monitor the development of premature newborns, including those with birth weights above 1500 g. The early identification of cognitive, language and motor problems is essential to promote children's well-being and intervention prior to school entry.

Aim: To ascertain whether maternal food insecurity was associated with low birth weight of their babies., Methods: Systematic review conducted following the items of the Preferred Reporting Items for Systematic Reviews-PRISMA, and recorded in PROSPERO. The descriptors food security, low birth weight and infant low birth weight were combined in the electronic databases: Scopus, PubMed, Cochrane Library, Latin American and Caribbean Health Sciences Literature and Google Scholar, independently by two researchers, between October 2022 and September 2023. The meta-analysis of the association between food insecurity and low birth weight was conducted. The included studies underwent quality and risk of bias assessment., Results: The initial search resulted in 631 records, 12 of which met the inclusion criteria and were selected for this study. Mothers experiencing food insecurity presented 3.09 more risk of having low birth weight babies when compared to those in food security situations., Conclusion: Evaluating and monitoring the food and nutritional situation of pregnant women is necessary, with emphasis on the importance of prenatal care, to direct public policies that ensure food security and strengthen adequate nutritional conditions for pregnant women and their babies., (© 2024 Foundation Acta Paediatrica. Published by John Wiley & Sons Ltd.)

Background: Syphilis coinfection among pregnant people living with HIV (PLH) may worsen pregnancy outcomes. We evaluated the impact of syphilis coinfection on pregnancies in south Brazil., Methods: Data were extracted from hospital records between January 1, 2008, and December 31, 2018. Preterm birth (PTB), low birth weight (LBW <2500 g), and a composite adverse infant outcome (AIO: HIV vertical transmission, loss to follow-up before HIV diagnosis, stillbirth, congenital syphilis) were evaluated among pregnancies without HIV and syphilis (PWOH + S), PLH monoinfection, syphilis monoinfection (PLS), and PLH with syphilis (PLH + S)., Results: Among 48,685 deliveries where patients were tested for HIV and syphilis, 1353 (2.8%) occurred in PLH; of these, 181 (13.4%) were HIV/syphilis coinfected (PLH + S). Among PLH, 2.4% of infants acquired HIV and 13.1% were lost to follow-up before HIV diagnosis. Among all PLS, 70.5% of infants acquired congenital syphilis. Across the cohort, 1.2% stillbirths/neonatal deaths occurred. Thirty-seven percent of PLH + S did not initiate antiretroviral therapy versus 15.4% of PLH monoinfection ( P < 0.001). Less than half (37.6%) of PLH + S had VDRL titers ≥1:16 compared with 21.7% of PLS only ( P < 0.001). Among PLH, syphilis coinfection and unknown/high VDRL titers (≥1:16) increased AIO risk more (adjusted relative risk [aRR], 3.96; 95% confidence interval [CI], 3.33-4.70) compared with low VDRL titers (≤1:8; aRR, 3.51; 95% CI, 2.90-4.25). Unsuppressed viremia (≥50 copies/mL) was associated with risk of PTB (aRR, 1.43; 95% CI, 1.07-1.92) and AIO (aRR, 1.38; 95% CI, 1.11-1.70) but not LBW. Lack of prenatal care was significant in predicting PTB and LBW in all PLH and PLS monoinfection., Conclusions: Syphilis coinfection worsens AIOs in all women and compounds negative effects of HIV infection during pregnancy. Effective syphilis treatment and HIV viral load suppression are paramount for optimal obstetric care., Competing Interests: Conflict of Interest and Sources of Funding: The authors have no competing interests or conflicts to declare., (Copyright © 2024 American Sexually Transmitted Diseases Association. All rights reserved.)

Background: Breastfeeding can be challenging in neonates born between 34 0/7 and 36 6/7 weeks gestation (late preterm)., Methods: This prospective cohort study aims to evaluate exclusive breastfeeding at discharge, at three and six months of life in late preterm infants, and to identify facilitators and challenges to it. We included late preterm neonates eligible for the rooming-in. Data about breastfeeding at discharge, at three and six months of life were collected., Results: Two hundred and fourteen late preterm infants were included in the study. At discharge 70 infants (32.7%) were fed with human milk and 144 (67.2%) were not. Non-exclusive breastfeeding was more common in women who were primiparous, had hypertension, and who underwent cesarean sections. Non-exclusive breastfeeding was associated with a low birthweight (<2500 g), ≥2 blood glucose controls, weight loss >10%, and longer hospital stay. Early first latch-on and skin-to-skin contact were more frequently associated with exclusive human milk feeding (P<0.001). Late preterm neonates born at 35 weeks showed a significant increase in exclusive human milk feeding at 3 months compared to the rate at discharge (P=0.004)., Conclusions: In this cohort, early first latch-on and immediate skin-to-skin contact resulted associated with exclusive human milk feeding. Despite formula-fed during hospitalization, infants born at ≥35 weeks gestation who were exclusively breastfed at follow-up increased.

OBJECTIVE: To find out the effect of Lipid based nutritional supplement (LNS) on body composition, hematological findings, maternal, birth and infant outcomes in underweight primi-gravidas. METHODS: This single-blinded randomized controlled clinical trial was executed in the tertiary care hospitals of Khyber Pakhtunkhwa province, Pakistan from April 2018 to August 2019. Forty primi-gravidas recruited in the study were randomized into LNS and placebo groups. LNS group received 75 gms of high energy nutritional supplement, named “MAAMTA”, on daily basis from their first antenatal visit till delivery in addition to their conventional antenatal treatment. Fasting blood samples were taken and body composition was measured at baseline visit, 16th week of gestation and post-natally. For the measurement of hematological parameters neonates cord blood was obtained. Data of 36 participants (LNS group n=19; placebo group n=17) were available for final analysis. RESULTS: Majority (n=33/36; 91.7%) had normal vaginal deliveries (n=18/19 in LNS group & n=15/17 in placebo group). Frequency of Cesarean section was 1/19 (5.3%) in LNS group and 2/17 (11.8%) in placebo group. No case of abortion was reported. Mean crown heel length (CHL) was 47.11±2.747 cm in LNS group and 44.24±2.359 cm in placebo group (p=0.002). Mean fronto-occipital circumference was 35.11±1.663 cm and 32.41±7.859 cm in the LNS and placebo groups respectively (p=0.153). No difference was observed between the groups in maternal gestational weight gain per visit, prevalence of maternal anemia, maternal mortality & neonatal birth weight. CONCLUSION: The prenatal use of LNS increases the CHL of the neonates of underweight primi-gravidas.

Purpose Kangaroo mother care (KMC) was introduced in Indonesia 30 years ago, but the extent of its use has not been fully documented. Therefore, this study aimed to examine the use of KMC and evaluate the characteristics of infants who received KMC at Koja District Hospital in North Jakarta, Indonesia. This retrospective cohort study recorded the characteristics of infants with birthweights less than or equal to 2,200 g at the above-mentioned hospital. Methods Data collected from infant registers included gestational age, birthweight, Apgar score, number of complications, history of neonatal intensive care unit treatment, and KMC status. Cox regression analysis was conducted. Results This study found that 57.7% of infants received KMC. Infants with birthweights over 1,500 g were 2.16 times (95% CI: 1.20-3.89) more likely to receive KMC. Conclusion Efforts to promote KMC are recommended, specifically for infants with birthweights greater than 1,500 g. KMC for infants with other conditions can also be considered based on the infants' stability.

Depression occurs in up to 13 % of all pregnancies and is associated with adverse pregnancy outcomes. However, the literature regarding associations between depression and lower birth weight or fetal growth has been inconsistent. Here, we consider if high frequency heart rate variability (HF-HRV) may moderate the association between depression and birth weight. Lower HF-HRV has been associated with greater risk of depression and poorer health outcomes. However, during pregnancy, there is a normative decrease in HF-HRV that may be protective. Higher HF-HRV is associated with a person's ability to flexibly adapt to challenges. During pregnancy, less flexibility may reduce responses to challenges, including depression, thereby mitigating the vulnerability of the pregnancy to the effects of depression. The present study considers this possibility with 80 pregnant women who completed a measure of depressive symptoms during pregnancy at 24 to 28, 30 to 32, and 36 to 38 weeks gestation, and had HF-HRV measured at 24 to 28 weeks gestation. Fetal growth was derived using birth weight and length of gestation data gathered from medical charts. Results revealed that for women with higher HF-HRV, depressive symptoms were negatively associated with fetal growth. This relationship was not evident for women with lower HF-HRV, who appeared to be protected from the effects of depression on fetal growth. Considering the combined impact of HF-HRV and depression during pregnancy may help us better identify women at risk of having lower birth weight neonates, and improve our understanding of how depression is associated with adverse pregnancy outcomes., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Clayton J. Hilmert reports financial support was provided by Sanford Health. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Studies have shown that mercury (Hg) exposure during pregnancy is associated with adverse birth outcomes (ABO) in infants, but the association between the two has not been systematically summarized. Therefore, we conducted a systematic review and meta-analysis of existing observational studies on the association between maternal Hg exposure (MHE) during pregnancy and ABO in infants to evaluate the association between them. We comprehensively searched all relevant literature published in three electronic databases (Web of Science, PubMed, Embase) from 2004 to June 2024. According to the heterogeneity, fixed effect model (I 2  ≤ 50 %) or random effect model (I 2  > 50 %) was used to pool the associated effect values. The results showed a positive association between MHE and low birth weight (LBW) (OR = 1.079, 95 % CI: 1.032-1.128) and no statistically significant association between and preterm birth (PTB) (OR = 1.044, 95 % CI: 0.956-1.140) and small-for-gestational-age (SGA) (OR = 1.006, 95 % CI: 0.983-1.030). In addition, each 10-fold increase in MHE during pregnancy was associated with abnormal Birth Anthropometrics. These findings suggest that MHE is a risk factor for LBW and is associated with abnormal anthropometric measurements at birth. However, there is insufficient evidence for Hg exposure and SGA, PTB. Further population-based studies are warranted to investigate these associations., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)