UNASSIGNED: birth weight is a critical indicator of neonatal health and predicts future developmental outcomes. Despite its importance, there is a notable lack of research on the determinants of low birth weight (LBW) in southeast Gabon. This study aims to fill this gap by identifying factors contributing to LBW at the Centre Hospitalier Universitaire Amissa Bongo in Franceville.
UNASSIGNED: this retrospective analysis covered the period from February 2011 to May 2017, focusing on postpartum women and their infants. Data were analyzed using R software (version 4.3.2), employing both descriptive statistics and logistic regression. Statistical significance was determined at a p-value of less than 0.05.
UNASSIGNED: among the 877 births analyzed, the prevalence of LBW was 8.4%. Bivariate analysis identified several factors associated with an increased risk of LBW, including, primigravida women (COR (95%CI) =0.59 (0.36-0.98), P = 0.036), primiparous women (COR (95%CI) =0.58 (0.36-0. 94), P = 0.024), women with a gestational age <37 weeks (COR (95%CI) =0.07 (0.04-0.11), P<0.001), women with ≤2 antenatal visits (COR (95%CI) =0.39 (0.18-0.93), P= 0.021), and women who underwent cesarean delivery (COR (95%CI) =0.46 (0.26-0.84), P = 0.008). However, multivariate analysis showed that only gestational age (AOR (95%CI) = 0.07 (0.04-0.11), P<0.001) and cesarean delivery (AOR (95%CI) = 0.48 (0.25-0.95), P = 0.03) were significantly associated with LBW.
UNASSIGNED: this study highlights the importance of gestational age and delivery method in the prevalence of LBW in southeast Gabon. These findings underscore the need for targeted interventions to address these risk factors, thereby improving neonatal health outcomes.

BACKGROUND: Obstetrics research has predominantly focused on the management and identification of factors associated with labor dystocia. Despite these efforts, clinicians currently lack the necessary tools to effectively predict a woman\'s risk of experiencing labor dystocia. Therefore, the objective of this study was to create a predictive model for labor dystocia.
METHODS: The study population included nulliparous women with a single baby in the cephalic presentation in spontaneous labor at term. With a cohort-based registry design utilizing data from the Copenhagen Pregnancy Cohort and the Danish Medical Birth Registry, we included women who had given birth from 2014 to 2020 at Copenhagen University Hospital-Rigshospitalet, Denmark. Logistic regression analysis, augmented by a super learner algorithm, was employed to construct the prediction model with candidate predictors pre-selected based on clinical reasoning and existing evidence. These predictors included maternal age, pre-pregnancy body mass index, height, gestational age, physical activity, self-reported medical condition, WHO-5 score, and fertility treatment. Model performance was evaluated using the area under the receiver operating characteristics curve (AUC) for discriminative capacity and Brier score for model calibration.
RESULTS: A total of 12,445 women involving 5,525 events of labor dystocia (44%) were included. All candidate predictors were retained in the final model, which demonstrated discriminative ability with an AUC of 62.3% (95% CI:60.7-64.0) and Brier score of 0.24.
CONCLUSIONS: Our model represents an initial advancement in the prediction of labor dystocia utilizing readily available information obtainable upon admission in active labor. As a next step further model development and external testing across other populations is warranted. With time a well-performing model may be a step towards facilitating risk stratification and the development of a user-friendly online tool for clinicians.

BACKGROUND: We aimed to determine the best-performing machine learning (ML)-based algorithm for predicting gestational diabetes mellitus (GDM) with sociodemographic and obstetrics features in the pre-conceptional period.
METHODS: We collected the data of pregnant women who were admitted to the obstetric clinic in the first trimester. The maternal age, body mass index, gravida, parity, previous birth weight, smoking status, the first-visit venous plasma glucose level, the family history of diabetes mellitus, and the results of an oral glucose tolerance test of the patients were evaluated. The women were categorized into groups based on having and not having a GDM diagnosis and also as being nulliparous or primiparous. 7 common ML algorithms were employed to construct the predictive model.
RESULTS: 97 mothers were included in the study. 19 and 26 nulliparous were with and without GDM, respectively. 29 and 23 primiparous were with and without GDM, respectively. It was found that the greatest feature importance variables were the venous plasma glucose level, maternal BMI, and the family history of diabetes mellitus. The eXtreme Gradient Boosting (XGB) Classifier had the best predictive value for the two models with the accuracy of 66.7% and 72.7%, respectively.
CONCLUSIONS: The XGB classifier model constructed with maternal sociodemographic findings and the obstetric history could be used as an early prediction model for GDM especially in low-income countries.

UNASSIGNED: Meningioma is the most common primary brain tumor, with a clear preponderance in women. Obesity is considered a risk factor for the development of meningioma. Obesity is also the clinical hallmark of metabolic syndrome, characterized by glucose intolerance, dyslipidemia, and hypertension. Lifestyle and metabolic factors directly impact overweight and obesity and are therefore potential risk factors for meningioma development. The aim of this study is to assess lifestyle and metabolic factors for meningioma risk in women.
UNASSIGNED: The Cohort of Norway (CONOR) is a nationwide health survey, conducted between 1994 and 2003, including anthropometric measures, blood tests, and health questionnaires. Linkage to the National Cancer Registry enabled the identification of intracranial meningioma during follow-up until December 2018.
UNASSIGNED: A total of 81,652 women were followed for a combined total of 1.5 million years, and 238 intracranial meningiomas were identified. Increasing levels of physical activity (HR 0.81; 95% CI 0.68-0.96; p trend <0.02) and parity (HR 0.83; 95% CI 0.71-0.97; p trend <0.03) were negatively associated with meningioma risk. Diabetes mellitus or glucose intolerance increased the risk for meningioma (HR 2.54; 95% CI 1.60-4.05). Overweight and obesity were not associated with meningioma risk, nor was metabolic syndrome. However, participants without metabolic dysfunction had a reduced meningioma risk, while participants with all five metabolic factors present had a 4-fold risk increase for meningioma (HR 4.28; 95% CI 1.34-13.68).
UNASSIGNED: Lifestyle factors seem to significantly influence meningioma risk. However, disentangling the complex associations and interactions between factors for meningioma risk will be a challenging task for future studies.

Pregnancy is a risk factor for asthma exacerbation and may trigger new-onset asthma in nonasthmatics. This study evaluated the epidemiology of newly diagnosed asthma during pregnancy and the associated risk factors among previously nonasthmatic women. Twelve-year medical data from the Korean National Health Insurance claims database (from January 2007 to December 2018) of Korean women who gave birth between January 2012 and December 2015 were collected. Previously nonasthmatic women were defined as those who had not been diagnosed with asthma for at least 4 years before pregnancy. Asthma flare-up was defined as asthma diagnosed three times or more and treated at least once with an oral corticosteroid. A nested case-control study was performed, and then the derived risk factors were applied to whole study population. Among the nonasthmatic women, 7.5% experienced asthma during pregnancy including episodes requiring hospitalization and 18.6% of them visited emergency room. Older age, primiparity, multi-fetal pregnancy, and rhinitis were identified as the risk factors. Among the entire study population, moderate to severe rhinitis was a significant risk factor across all age groups, while primiparity with multi-fetal pregnancy was one for older pregnant women; 22.7% in those ≥ 34 years old experienced asthma flare-ups compared to only 3.5% in the < 34 age group. A substantial portion of pregnant women with no history of asthma experienced an asthma flare-up during pregnancy. Multi-fetal pregnancy as primiparity at a later age and moderate to severe rhinitis are risk factors for the new development of asthma.

UNASSIGNED: To investigate if individual and contextual socioeconomic factors are associated with contraceptive use in Brazilian women from 18 to 49 years old, stratified by parity.
UNASSIGNED: Cross-sectional, population-based study that analyzed data from 16,879 women from 18 to 49 years old, respondents of the 2013 National Health Survey. Individual factors such as reproductive history, access to health services, and sociodemographic characteristics were considered; and as contextual factors, Human Development Index (HDI), Sociodemographic Index (SDI) Primary Health Care Coverage (PHC coverage) and Average Monthly Income were included. Multilevel logistic regression models were estimated, stratified by parity, with women being level 1 and States and Federal District of level 2 units.
UNASSIGNED: Nulliparous women had lower prevalence of contraceptive use (77.9 %) when compared with primiparous and multiparous (88.7 %), as well as greater variability in the chance of using contraception (ICC = 2.1 vs. ICC = 1.1, respectively). Women who lived in States with higher levels of HDI, average monthly income and SDI were more likely to use contraception. The greater PHC coverage was positively associated with the use of contraceptives for primiparous/multiparous women and negatively for the nulliparous. Furthermore, higher education increased the chances of using contraception, both for nulliparous and primiparous/multiparous women.
UNASSIGNED: The high contraceptive coverage in Brazil hides important inequities in access, highlighting contextual characteristics associated with the use of contraceptives, in addition to individual factors. The lower prevalence and chance of using contraceptives for nulliparous women with greater social vulnerability reveal inequity and priority in public policies.
UNASSIGNED: The need to improve access to contraception is highlighted, considering both the individual and contextual vulnerabilities of women, which implies ensuring timely and qualified access to contraceptive methods, especially for young and nulliparous women who are more socially vulnerable.

UNASSIGNED: Women with stress urinary incontinence (SUI) may have altered running mechanics and reduced hip muscle strength compared to women without SUI. Little research has examined running metrics and functional lower extremity strength of parous runners.
UNASSIGNED: To determine if stress urinary incontinence (SUI) severity correlates with running metrics and lower extremity muscle strength among parous women.
UNASSIGNED: Cross-sectional observational study of 22 parous participants (mean age 39.8 years, with a mean of 3.4 pregnancies and 8.1 years interval since last delivery).
UNASSIGNED: Participants completed the International Consultation on Incontinence Questionnaire-Urinary Incontinence Short Form (ICIQ-UI), Urinary Distress Inventory (UDI) 6, Colorectal-Anal Distress (CRAD) Inventory 8, and Pelvic Organ Prolapse Distress Inventory (POPDI) 6, Questionnaire for Urinary Incontinence Diagnosis (QUID), and provided demographic, relevant running, and obstetric/gynecologic history information. After a brief warm-up, participants completed 30-second single leg sit to stand tests bilaterally and a standardized 10-minute treadmill run with pod cadence assessment. Pearson-product moment correlation coefficients were calculated (alpha = 0.05).
UNASSIGNED: Prolonged ground contact times were associated with higher ICIQ-UI SF (r = 0.523, p = 0.015), POPDI-6 (r = 0.694, p < 0.001), and UDI-6 scores (r = 0.577, p = 0.006), while lower cadences were associated with higher POPDI-6 (r = -0.550, p = 0.010) and UDI-6 scores (r = -0.444, p=0.044).
UNASSIGNED: Parous female runners with more severe SUI and prolapse symptoms demonstrate altered running mechanics characterized by prolonged ground contact times and slower cadences.

OBJECTIVE: This study aims to describe patterns of beliefs about contraceptive-induced infertility and assess their relationship with current contraceptive use, including whether these relationships vary by parity and residence.
METHODS: We use data from Performance Monitoring for Action Ethiopia, a nationally representative, cross-sectional survey of 7491 women, aged 15-49, to assess agreement with the statement \'If I use family planning, I may have trouble getting pregnant next time I want to.\' We used multilevel hierarchical models to identify the association between agreement and use of a hormonal method of contraception among 3882 sexually active, fecund women who wish to prevent pregnancy. We include interaction terms for parity and residence.
RESULTS: 4 in 10 women disagreed (42.3%) and 2 in 10 strongly disagreed (20.7%) with the statement. Relative to women who strongly disagreed, women who disagreed and women who agreed had significantly lower odds of using a hormonal method of contraception (adjusted OR (aOR) 0.65, 95% CI 0.44 to 0.97 and 0.46, 95% CI 0.46, 95% CI 0.30 to 0.70). The effect of agreeing with the statement was strongest among high parity women (aOR 0.54, 95% CI 0.30 to 0.95). Greater agreement with the statement at the community-level use was associated with a reduction in the odds of using hormonal contraception but only among rural women.
CONCLUSIONS: Efforts to address concerns around contraceptive-induced fertility impairment through the provision of comprehensive counselling and through community education or mass media campaigns are necessary, particularly among high-parity women and in rural communities. Interventions should acknowledge the possibility of delayed return to fertility for specific methods and attempt to address the root causes of concerns.

UNASSIGNED: The measures that traditionally describe the levator hiatus (LH) are straightforward and reliable; however, they were not specifically designed to capture significant differences. Statistical shape modeling (SSM) was used to quantify LH shape variation across reproductive-age women and identify novel variables associated with LH size and shape.
UNASSIGNED: A retrospective study of pelvic MRIs from 19 nulliparous, 32 parous, and 12 pregnant women was performed. The LH was segmented in the plane of minimal LH dimensions. SSM was implemented. LH size was defined by the cross-sectional area, maximal transverse diameter, and anterior-posterior (A-P) diameter. Novel SSM-guided variables were defined by regions of greatest variation. Multivariate analysis of variance (MANOVA) evaluated group differences, and correlations determined relationships between size and shape variables.
UNASSIGNED: Overall shape ( p < 0.001 ), SSM mode 2 (oval to T -shape, p = 0.002 ), mode 3 (rounder to broader anterior shape, p = 0.004 ), and maximal transverse diameter ( p = 0.003 ) significantly differed between groups. Novel anterior and posterior transverse diameters were identified at 14% and 79% of the A-P length. Anterior transverse diameter and maximal transverse diameter were strongly correlated ( r = 0.780 , p < 0.001 ), while posterior transverse diameter and maximal transverse diameter were weakly correlated ( r = 0.398 , p = 0.001 ).
UNASSIGNED: The traditional maximal transverse diameter generally corresponded with SSM findings but cannot describe anterior and posterior variation independently. The novel anterior and posterior transverse diameters represent both size and shape variation, can be easily calculated alongside traditional measures, and are more sensitive to subtle and local LH variation. Thus, they have a greater ability to serve as predictive and diagnostic parameters.

Large White and Meishan sows differ in maternal ability and early piglet growth. We investigated the relationships between 100 maternal traits, grouped into 11 blocks according to the biological function they describe and litter growth over three successive periods after birth (D0-D1, D1-D3 and D3-D7; D0 starting at the onset of farrowing), as a measure of sow investment in early piglet production. Within- and between-breed variation was exploited to cover a maximum of the variability existing in pig maternal populations. The objective was to quantify the contribution of maternal traits, including functional traits and behavioural traits, to early litter growth. Multivariate analyses were used to depict correlations among traits. A partial least square multiblock analysis allowed quantifying the effect of maternal traits on early growth traits. Partial triadic analyses highlighted how sow behaviour changed with days, and whether it resulted in changes in litter growth. Several behavioural traits (standing activity, reactivity to different stimuli, postural activity) and functional traits (body reserves, udder quality) at farrowing contributed substantially to litter growth from D0 to D7. Sow aggression towards piglets and time spent standing at D0 were unfavourably correlated to D1-D3 litter growth. Time spent lying with udder exposed at D0 was favourably correlated to D1-D3 litter growth. The farrowing duration was negatively correlated to D0-D1 and D1-D3 litter growth. Furthermore, D3-D7 litter growth was positively correlated to feed intake in the same period. Several behavioural traits and some functional traits influence early litter growth. The contribution of sow behaviour was greater in the critical period around farrowing than in later days.