Chinese Pregnant Women Research Articles

Choline and betaine intakes during pregnancy in relation to risk of gestational diabetes mellitus among Chinese women.

Previous animal studies found beneficial effects of choline and betaine on maternal glucose metabolism during pregnancy, but few human studies explored theassociation between choline or betaine intake and incident gestational diabetes mellitus (GDM). We aimed to explore thecorrelation of dietary choline or betaine intake with GDM risk among Chinese pregnant women. A total of 168 pregnant women with GDM cases and 375 healthy controls were enrolled at the Seventh People's Hospital in Shanghai during their GDM screening at 24-28 gestational weeks. A validated semi-quantitative FFQ was used to estimate choline and betaine consumption through face-to-face interviews. An unconditional logistic regression model was adopted to examine OR and 95 % CI. Compared with the controls, those women with GDM incidence were likely to have higher pre-pregnancy BMI, be older, have more parities and have higher plasma TAG and lower plasma HDL-cholesterol. No significant correlation was observed between the consumption of choline or betaine and incident GDM (adjusted OR (95 % CI), 0·77 (0·41, 1·43) for choline; 0·80 (0·42, 1·52) for betaine). However, there was a significant interaction between betaine intake and parity on therisk of GDM (Pfor interaction = 0·01). Among those women with no parity history, there was a significantly inverse correlation between betaine intake and GDM risk (adjusted OR (95 % CI), 0·25 (0·06, 0·81)). These findings indicated that higher dietary betaine intake during pregnancy might be considered a protective factor for GDM among Chinese women with no parity history.

Application of machine learning algorithm incorporating dietary intake in prediction of gestational diabetes mellitus.

Gestational diabetes mellitus (GDM) significantly affects pregnancy outcomes. Therefore, it is crucial to develop prediction models since they can guide timely interventions to reduce the incidence of GDM and its associated adverse effects. A total of 554 pregnant women were selected and their sociodemographic characteristics, clinical data and dietary data were collected. Dietary data was investigated by a validated semi-quantitative food frequency questionnaire (FFQ). We applied random forest mean decrease impurity for feature selection and the models are built using Logistic Regression, XGBoost, and LightGBM algorithms. The prediction performance of different models was compared by Accuracy, Sensitivity, Specificity, Area Under Curve (AUC) and Hosmer-Lemeshow test. Blood glucose, age, pre-pregnancy body mass index (BMI), triglycerides and high-density lipoprotein cholesterol (HDL) were the top five features according to the feature selection. Among the three algorithms, XGBoost performed best with an AUC of 0.788, LightGBM came second (AUC = 0.749), and Logistic Regression performed the worst (AUC = 0.712). In addition, XGBoost and LightGBM both achieved a fairly good performance when dietary information was included, surpassing their performance on the non-dietary dataset (0.788 vs. 0.718 in XGBoost; 0.749 vs. 0.726 in LightGBM). XGBoost and LightGBM algorithms outperform Logistic Regression in predicting GDM among the Chinese pregnant women. In addition, dietary data may have a positive effect on improving model performance, which deserves more in-depth investigation with larger sample size.

Phenome-wide association study in 25,639 pregnant Chinese women reveals loci associated with maternal comorbidities and child health

Phenome-wide association studies (PheWAS) have been less focused on maternal diseases and maternal-newborn comorbidities, especially in the Chinese population. To enhance our understanding of the genetic basis of these related diseases, we conducted a PheWAS on 25,639 pregnant women and 14,151 newborns in the Chinese Han population using ultra-low-coverage whole-genome sequence (ulcWGS). We identified 2,883 maternal trait-associated SNPs associated with 26 phenotypes, among which 99.5% were near established genome-wide association study (GWAS) loci. Further refinement delineated these SNPs to 442 unique trait-associated loci (TALs) predicated on linkage disequilibrium R2>0.8, revealing that 75.6% demonstrated pleiotropy and 50.9% were located in genes implicated in analogous phenotypes. Notably, we discovered 21 maternal SNPs associated with 35 neonatal phenotypes, including two SNPs associated with identical complications in both mothers and children. These findings underscore the importance of integrating ulcWGS data to enrich the discoveries derived from traditional PheWAS approaches.

Genetic analyses of 104 phenotypes in 20,900 Chinese pregnant women reveal pregnancy-specific discoveries

Monitoring biochemical phenotypes during pregnancy is vital for maternal and fetal health, allowing early detection and management of pregnancy-related conditions to ensure safety for both. Here, we conducted a genetic analysis of 104 pregnancy phenotypes in 20,900 Chinese women. The genome-wide association study (GWAS) identified a total of 410 trait-locus associations, with 71.71% reported previously. Among the 116 novel hits for 45 phenotypes, 83 were successfully replicated. Among them, 31 were defined as potentially pregnancy-specific associations, including creatine and HELLPAR and neutrophils and ESR1, with subsequent analysis revealing enrichments in estrogen-related pathways and female reproductive tissues. The partitioning heritability underscored the significant roles of fetal blood, embryoid bodies, and female reproductive organs in pregnancy hematology and birth outcomes. Pathway analysis confirmed the intricate interplay of hormone and immune regulation, metabolism, and cell cycle during pregnancy. This study contributes to the understanding of genetic influences on pregnancy phenotypes and their implications for maternal health.

Association of maternal blood mercury concentration during the first trimester of pregnancy with birth outcomes.

Exposure to mercury has been associated with adverse effects on pregnancy outcomes. However, there is limited literature on mercury exposure and pregnancy outcomes in Chinese pregnant women. Our study was to investigate the possible association between maternal mercury exposure and spontaneous preterm birth and birth weight. This study was a nested case-control study. The association between blood mercury concentration and both spontaneous preterm birth and birth weight was analyzed using conditional logistic regression and linear regression adjusted for the potential confounding factors, respectively. The dose-response relationship between mercury concentration and birth outcomes was estimated using restricted cubic spline regression. The mean concentration of mercury was 2.8 ± 2.2µg/L. A positive relationship was observed between maternal blood mercury concentration and SPB when analyzed as a continuous variable. However, it was not found to be statistically significant (adjusted OR = 1.10, 95% CI = 0.95-1.26, P = 0.202). Moderate mercury exposure was associated with a higher risk of SPB (Q3 vs. Q1: crude OR = 2.50, 95% CI = 1.16-5.41, P = 0.02; adjusted OR = 3.49, 95% CI = 1.33-9.11, P = 0.011). After considering the combined effects of chemicals other than mercury exposure (including lead, selenium, and cadmium), the results remained consistent. There was no statistically significant association between blood mercury levels and birth weight (adjusted coefficient = 18.64, P-value = 0.075). There were no statistically significant dose-response associations between mercury concentration and birth outcomes (SPB: P = 0.076; birth weight: P = 0.885). Public health policies should focus on reducing environmental releases of mercury, improving food safety standards, and providing education to pregnant women about the risks of mercury exposure and preventive measures.

Perceived stress and prenatal depression symptoms among couples with gestational diabetes mellitus: The mediating role of dyadic coping

ProblemNo studies have been conducted to examine the relationships between perceived stress, positive/negative dyadic coping, and prenatal depression symptoms in Chinese couples with gestational diabetes mellitus (GDM). BackgroundGDM is a stressful event for pregnant women and their partners, which may result in clinically significant prenatal depression symptoms in couples. AimThis study aims to examine the relationships and differences in perceived stress, positive/negative dyadic coping, and prenatal depression symptoms between Chinese pregnant women with GDM and their partners and to explore the mediating role of positive/negative dyadic coping. MethodsA cross-sectional study was conducted in Guangzhou, China, from January to October 2021. 402 pairs of GDM couples completed the questionnaires, including the Edinburgh Postnatal Depression Scale, the Chinese version of the Dyadic Coping Inventory, and the Perceived Stress Scale. Dyadic data was analyzed using the actor-partner interdependence mediation model. Findings37.6 % of pregnant women with GDM and 24.6 % of their partners experienced clinically significant prenatal depression symptoms. Depression symptoms in couples mutually influence each other. Perceived stress was directly or indirectly related to their and partners’ prenatal depression symptoms in GDM couples, with negative dyadic coping acting as a mediator. Maternal negative dyadic coping was also a partner-mediator. DiscussionThe findings of the present study may provide healthcare professionals with a better understanding of the effect of the interpersonal interaction between the couples as a dyad on prenatal depression symptoms in Chinese context. ConclusionThere were intrapersonal and interpersonal associations among perceived stress, negative dyadic coping, and prenatal depression symptoms in pregnant women with GDM and their partners. It suggests a need for screening clinically significant prenatal depression symptoms and decreasing perceived stress and negative dyadic coping among couples with GDM with a focus on pregnant women with GDM.

Identification and Potential Clinical Utility of Common Genetic Variants in Gestational Diabetes among Chinese Pregnant Women

Identification and Potential Clinical Utility of Common Genetic Variants in Gestational Diabetes among Chinese Pregnant Women

Genome-wide association studies of thyroid-related hormones, dysfunction, and autoimmunity among 85,421 Chinese pregnancies

Maintaining normal thyroid function is crucial in pregnancy, yet thyroid dysfunction and the presence of thyroid peroxidase antibodies (TPOAb) affect 0.5% to 18% of pregnant women. Here, we conducted a genome-wide association study (GWAS) of eight thyroid traits, including two thyroid-related hormones, four thyroid dysfunctions, and two thyroid autoimmunity measurements among 85,421 Chinese pregnant women to investigate the genetic basis of thyroid function during pregnancy. Our study identified 176 genetic loci, including 125 previously unknown genome-wide associations. Joint epidemiological and Mendelian randomization analyses revealed significant associations between the gestational thyroid phenotypes and gestational complications, birth outcomes, and later-age health outcomes. Specifically, genetically elevated thyroid-stimulating hormone (TSH) levels during pregnancy correlated with lower glycemic levels, reduced blood pressure, and longer gestational duration. Additionally, TPOAb and thyroid functions during pregnancy share genetic correlations with later-age thyroid and cardiac disorders. These findings provide insights into the genetic determinants of thyroid traits during pregnancy, which may lead to new therapeutics, early pre-diagnosis and preventive strategies starting from early adulthood.

The associations between social support and mental health among Chinese immigrant pregnant and parenting women

BackgroundWhile it is recognized that social support can alleviate mental health symptoms, this relationship is not well-understood among Chinese pregnant and parenting immigrants in the United States. This study aims to bridge this gap by exploring the relationships between different types of social support and women’s anxiety and depression, and examining how these associations vary with pregnancy status.MethodsData were obtained from a cross-sectional survey conducted in Simplified Chinese or Mandarin between March-June 2021 among 526 women who were pregnant and/or parenting a child under five years. The Patient-Reported Outcomes Measurement Information System (PROMIS) Anxiety, Depression, and Social Support scales were used to measure anxiety, depression, and social support levels. Descriptive statistics, t-tests, chi-square tests, and Pearson’s correlations were employed for analysis. Hierarchical regression was conducted to investigate the main and interaction effects of social support types and pregnancy status on mental health outcomes.ResultsCompared to non-pregnant women, pregnant women reported higher mean scores for anxiety (non-pregnant: 55, pregnant: 59, p < 0.01) and depression (non-pregnant: 54, pregnant: 56, p = 0.02). Instrumental support displayed a significant main effect in relation to anxiety (β=-0.13, p = 0.01) and depression (β=-0.16, p < 0.01); emotional support exhibited a significant main effect solely on depression (β=-0.13, p = 0.01). Notably, the interaction effects between pregnancy status and both instrumental (β=-0.28, p = 0.01) and emotional support (β=-0.42, p < 0.01) were significant for anxiety. In contrast, informational support did not exhibit a significant impact on either anxiety or depression.ConclusionsThe findings indicate that tailoring support to the cultural context is crucial, especially for pregnant women in this Chinese immigrant community, with instrumental and emotional support being particularly beneficial in mitigating maternal anxiety.

Integrative microbiome and metabolome profiles reveal the impacts of periodontitis via oral-gut axis in first-trimester pregnant women

BackgroundPeriodontitis results from host-microbe dysbiosis and the resultant dysregulated immunoinflammatory response. Importantly, it closely links to numerous systemic comorbidities, and perplexingly contributes to adverse pregnancy outcomes (APOs). Currently, there are limited studies on the distal consequences of periodontitis via oral-gut axis in pregnant women. This study investigated the integrative microbiome-metabolome profiles through multi-omics approaches in first-trimester pregnant women and explored the translational potentials.MethodsWe collected samples of subgingival plaques, saliva, sera and stool from 54 Chinese pregnant women at the first trimester, including 31 maternal periodontitis (Perio) subjects and 23 Non-Perio controls. By integrating 16S rRNA sequencing, untargeted metabolomics and clinical traits, we explored the oral-gut microbial and metabolic connection resulting from periodontitis among early pregnant women.ResultsWe demonstrated a novel bacterial distinguisher Coprococcus from feces of periodontitis subjects in association with subgingival periodontopathogens, being different from other fecal genera in Lachnospiraceae family. The ratio of fecal Coprococcus to Lachnoclostridium could discriminate between Perio and Non-Perio groups as the ratio of subgingival Porphyromonas to Rothia did. Furthermore, there were differentially abundant fecal metabolic features pivotally enriched in periodontitis subjects like L-urobilin and kynurenic acid. We revealed a periodontitis-oriented integrative network cluster, which was centered with fecal Coprococcus and L-urobilin as well as serum triglyceride.ConclusionsThe current findings about the notable influence of periodontitis on fecal microbiota and metabolites in first-trimester pregnant women via oral-gut axis signify the importance and translational implications of preconceptional oral/periodontal healthcare for enhancing maternal wellbeing.

Associations of maternal serum concentration of iron-related indicators with gestational diabetes mellitus in Chinese: A pilot prospective cohort study

BackgroundWe aimed to provide a comprehensive understanding of the associations between iron metabolism and gestational diabetes mellitus (GDM) by examining multiple iron-related indicators. MethodsWe conducted a prospective study involving 907 Chinese pregnant women. Enzyme-linked immunosorbent assay (ELISA) was used to measure serum concentrations of iron-related indicators during the first trimester (≤ 14 weeks of gestation). GDM outcomes were measured through oral glucose tolerance tests (OGTT) conducted between weeks 24 and 28 of gestation. ResultsSubjects with iron-related indicators below the 10th percentile (except for serum iron and soluble transferrin receptor) had a higher risk of GDM compared to normal subjects (10th-90th percentiles). The ORs (95 %CI; p-value) were 1.88 (1.10, 3.20; P=0.020) for ferritin, 1.88 (1.10, 3.19; P=0.020) for hepcidin. Higher levels of ferritin (> 90th percentile) were associated with a higher risk of abnormal fasting blood glucose, while lower levels (< 10th percentile) of ferritin, hepcidin, and transferrin were associated with a higher risk of one-hour postprandial glucose ≥ 8.6 mmol/L in the OGTT. ConclusionsLower levels (< 10th percentiles) of several iron-related indicators (ferritin, hepcidin, and transferrin) were associated with a higher risk of GDM and abnormal blood glucose compared to normal subjects.

Prevalence and related risk factors for depression, anxiety and insomnia in pregnant Chinese women

ABSTRACT Objective This study aims to investigate the prevalence of depression, anxiety and insomnia in pregnant Chinese women, and to explore the related risk factors across multiple fields. Method The participants were 2120 women (M age = 30.24 years, range = 19–47) from 12 provinces in China. Bivariate correlation and logistic regression analyses were used to explore the risk factors. Chi-square tests and t tests were used to examine whether there were significant differences in mental health status between pregnant women in different periods of gestation. Results The overall prevalence rates of depression, anxiety and insomnia among pregnant Chinese women were 10.0%, 3.8% and 3.3%, respectively. Risk factors for the mental health of pregnant women were identified across demographic, maternal, physiological, and psychological domains. Among these, severe mobility restrictions and fear of childbirth were found to be the strongest predictors. Conclusions The prevalence of depression, anxiety and insomnia among pregnant women is low. Pregnant women with a seriously impaired ability to move and fear of childbirth are more likely to experience mental health problems.

Triglyceride-glycaemic index: Insights into predicting fetal macrosomia and its interaction with gestational diabetes mellitus: A cohort study of Chinese pregnant women.

This study investigates the association between a new insulin resistance indicator, the triglyceride-glucose (TyG) index, and the risk of macrosomia. This is a prospective cohort study. This study included 1332 women who delivered at Peking University International Hospital between October 2017 and August 2019. Participants were divided equally into three groups based on the TyG index. Logistic regression and restricted cubic spline (RCS) analyses were used to evaluate the relationship between the TyG index and macrosomia and conducted subgroup analyses. The TyG index's ability to predict macrosomia was assessed using the receiver operating characteristic (ROC) curve. Multivariable logistic regression analysis revealed that the TyG index is an independent risk factor for macrosomia (Odds ratio [OR] 1.84, 95% confidence interval [CI] 1.02-3.30, p < .05). RCS analysis indicates that the risk of macrosomia increases with the rise of the TyG index (p for nonlinearity <.001) when the TyG index is >6.53. Subgroup analysis showed a synergistic additive interaction between the TyG index and gestational diabetes mellitus (GDM) of macrosomia. The area under the ROC curve for the predictive model was 0.733 (95% CI 0.684, 0.781), with a sensitivity of 76.4% and specificity of 66.9%. Incorporating the TyG index alongside traditional risk factors notably enhances macrosomia prediction (p < .05). The TyG index independently predicts macrosomia, and exhibits an additive interaction with GDM in its occurrence. Integrating the TyG index with traditional risk factors improves the prediction of macrosomia. Clinical trials. gov [NCT02966405].

Analysis of the current situation and demand for perinatal education in pregnant women in general grade A tertiary hospitals in China: a cross-sectional survey

ObjectivesThis study aimed to assess the factors influencing pregnant women’s participation in perinatal education and their demand for educational courses.DesignA cross-sectional study.SettingTertiary hospital in Suzhou, China, July–September 2022.ParticipantsPregnant women from...

Association between Dietary Inflammatory Index and Hyperemesis Gravidarum.

(1) Background: Diet holds a pivotal position in exacerbating or ameliorating chronic inflammation, which has been implicated in the pathogenesis of hyperemesis gravidarum (HG). However, no study has explored the association between dietary inflammatory potential and HG. This study aimed to investigate the potential correlation between following a pro-inflammatory diet and the likelihood of developing HG. (2) Methods: A total of 2033 Chinese pregnant women (mean age: 31.3 ± 3.4 years) were included in this cross-sectional study from April 2021 to September 2022 as part of the China Birth Cohort Study (CBCS). Dietary inflammatory index (DII) scores with 23 food components were constructed through dietary intakes collected via a reliable 108-item semi-quantitative food frequency questionnaire. HG was defined as a pregnancy-unique quantification of emesis (PUQE) score ≥13 points, severe nausea and vomiting leading to weight loss ≥5%, or being hospitalized for treatment due to the disease. The relationship between DII and HG was conducted utilizing binary logistic regression and restricted cubic spline regression. (3) Results: Overall, 8.2% (n = 167) of study participants had HG. The DII scores ranged from -4.04 to 3.82. After adjusting for potential confounders, individuals with the highest tertile of DII score had a higher risk of HG (OR = 1.65, 95% CI: 1.04, 2.62, Ptrend = 0.032). Such an association was stronger in those with pre-pregnancy overweight/obesity (Pinteraction = 0.018). (4) Conclusions: A higher DII score, which serves as a marker for a diet promoting inflammation, is correlated with an elevated risk of developing HG. This finding suggests that dietary recommendations for HG should focus on minimizing the DII through incorporating foods abundant in anti-inflammatory components.

Nomogram prediction for periodontitis in Chinese pregnant women with different sociodemographic and oral health behavior characteristics: a community-based study

BackgroundPeriodontitis is associated with poor pregnancy outcomes, indicating periodontal health as an important health concern for pregnant women. Herein, this study identified risk indicators for periodontitis and developed a nomogram for predicting the risk of periodontitis in pregnancy by analyzing periodontitis and associated factors in pregnant women.Materials and methodsA community-based cross-sectional study was conducted by including 438 pregnant women at 10–36 gestational weeks from Langfang, China. Pregnant women were examined for periodontal status, and their demographic, socioeconomic, and oral health behavior data were collected. Potential influencing factors of periodontitis were analyzed with univariate and multivariate logistic regression analyses. A nomogram was developed, followed by the assessment of its validation and discriminatory abilities.ResultsThe prevalence of periodontitis was 59.8% in pregnant women. Periodontitis-associated variables in pregnant women were gestational age, non-first pregnancy, daily tooth brushing frequency of ≤ 1 before pregnancy, and annual frequency of periodontal treatment < 1 (including no periodontal treatment). The risk of periodontitis was positively associated with gestational age (OR = 1.28, 95% CI = 1.17–1.39, p < 0.001). Pregnancy history showed a strong positive association (OR = 6.57, 95% CI = 1.22–35.43, p = 0.03). Daily tooth brushing frequency before pregnancy was also positively associated with periodontitis (OR = 1.54, 95% CI = 1.03–2.79, p = 0.05). Additionally, the annual frequency of periodontal treatment exhibited a positive association, with higher odds observed for those with less frequent treatment (OR = 2.28, 95% CI = 1.25–4.14, p = 0.05; OR = 7.37, 95% CI = 3.04–22.06, p < 0.001). These four factors were used to develop a nomogram for predicting periodontitis in pregnant women. The area under the receiver operating characteristic curve of the nomogram was 0.855 and 0.831 in the training and testing cohorts, respectively, reflecting the superior prediction accuracy of the nomogram. The calibration curve and decision curve analysis demonstrated the good performance and net benefit of the nomogram.ConclusionRisk factors for periodontitis in pregnant Chinese women include gestational age, non-first pregnancy, lower frequency of daily tooth brushing before pregnancy, and lower frequency of periodontal treatment. An easy-to-use nomogram with acceptable accuracy can allow for the prediction of periodontitis risk in pregnant Chinese women.Clinical relevanceWith the assistance of this nomogram, clinicians can evaluate the risk of periodontitis in pregnancy, thereby offering more tailored oral health education to women of reproductive age.

Serum CD44 levels in early pregnancy and its genetic variants for increased risk of gestational diabetes mellitus in Chinese pregnant women

This study aimed to explore associations of serum cluster of differentiation 44 (CD44) levels and its genetic variants in early pregnancy with gestational diabetes mellitus (GDM). We conducted a 1:1 case-control study (n = 414) nested in a prospective cohort of 22,302 pregnant women recruited from 2010 to 2012 in Tianjin, China. Blood samples were collected at the first antenatal care visit (at a median of 10th gestational week). Binary conditional logistic regressions were performed to examine associations of serum CD44 levels and its genetic variants with increased risk of GDM. In this study, we found that serum CD44 levels in early pregnancy was associated with GDM risk in a U-shaped manner. High serum CD44 levels and its genetic risk score in early pregnancy were associated with markedly increased risk of GDM after adjustment for traditional confounders (OR: 1.95, 95%CI: 1.12–3.40 & 1.95, 1.05–3.61). Furthermore, after adjustment for serum CD44 levels, the OR of CD44 genetic risk score for GDM was slightly attenuated but not significant (1.84, 0.98–3.48). In conclusion, serum CD44 levels and its genetic variants in early pregnancy were associated with GDM risk in Chinese pregnant women, with the effect of CD44 genetic variants being accounted for by serum CD44. SignificanceRecent studies suggested that pregnant women with GDM may have abnormal levels of CD44 and abnormal expression of CD44 gene, but it is uncertain whether abnormal CD44 plays a causal role in occurrence of GDM. Specifically, it remains unknown whether serum CD44 levels in early pregnancy and its genetic variants can predict the later occurrence of GDM. In this study, we found that high serum CD44 levels in early pregnancy and its genetic variants were associated with markedly increased risk of GDM in Chinese pregnant women, with the effect of CD44 genetic variants being largely accounted for by serum CD44 levels. Our study is the first reporting that serum CD44 levels and its genetic variants were associated with markedly increased risk of GDM. These multi-omics risk markers may be useful for identification of women at high risk of GDM in early pregnancy. Our findings also provide new insights into the disease mechanisms.

Elevated maternal serum bile acids level, hypertensive disorders of pregnancy and adverse fetal outcomes: a cohort study of 117,789 pregnant women in China

BackgroundElevated maternal serum total bile acids (sTBA) level during pregnancy was associated with adverse fetal outcomes. Women with elevated sTBA could complicate with hepatic dysfunction or vascular disorders (hypertensive disorders of pregnancy, HDP), which aggravated adverse fetal outcomes. However, the relationships among sTBA level, hepatic dysfunction, HDP and adverse fetal outcomes were still illusive. ObjectiveWe aimed to explore whether hepatic dysfunction or vascular disorders (HDP) mediated the associations between elevated sTBA level and adverse fetal outcomes. MethodsA large retrospective cohort study encompassing 117,789 Chinese pregnant women with singleton delivery between Jan 2014 and Dec 2022 was conducted. Causal mediation analysis was applied to assess the mediating role of hepatic dysfunction (alanine transaminase > 40 U/L) or HDP in explaining the relationship between high maternal sTBA level (≥10 μmol/L) and adverse fetal outcomes, including low birth weight (LBW), small for gestational age (SGA), and preterm birth (PTB). ResultssTBA level were positively associated with LBW (adjusted odds ratio (aOR) = 1.40; [95 % confidence interval (CI): 1.24–1.59]), SGA (aOR=1.31; [95 % CI: 1.18–1.46]), and PTB (aOR=1.27; [95 % CI: 1.15–1.41]), respectively. The estimated proportions of the total associations mediated by HDP were 47 % [95 % CI: 31 %–63 %] for LBW, 24 % [95 % CI: 13 %–35 %] for SGA, and 34 % [95 % CI: 19 %–49 %] for PTB, excepting the direct effects of high sTBA level. The contribution of hepatic dysfunction as a mediator was weaker on the association between high sTBA level on fetal outcomes, as the proportions mediated and 95 % CI were 16 % [4 %–29 %], 4 % [-6%–14 %], 32 % [15 %–50 %] for LBW, SGA, and PTB, respectively. Moreover, the mediating effect of hepatic dysfunction was nearly eliminated after excluding cases of HDP in the sensitivity analysis. ConclusionsThe substantial mediating effects through HDP highlighted its significant role in adverse fetal outcomes associated with elevated sTBA level. The findings also provoked new insights into understanding the mechanism and developing clinical management strategies (i.e. vascular protection) for adverse fetal outcomes associated with elevated sTBA level.

Urinary polycyclic aromatic hydrocarbon metabolites in Chinese pregnant women: Concentrations, variability, predictors, and association with oxidative stress biomarkers

Polycyclic aromatic hydrocarbons (PAHs) are a class of pervasive contaminants having adverse health effects. Urinary monohydroxylated PAHs (OH-PAHs) are commonly employed as biomarkers to estimate PAH exposure levels in humans. However, little is understood about the variability in OH-PAHs among pregnant women across trimesters and their relationship with oxidative stress biomarkers (OSBs). Based on a prospective birth cohort study conducted in Wuhan, China, we selected 644 women who donated (spot) urine samples across different trimesters and measured the urinary concentrations of eight OH-PAHs and three selected OSBs (8-OHG, 8-OHdG, and HNEMA) to explore the relationship between the OH-PAHs and OSBs. Pregnant women were found to be ubiquitously exposed to the PAHs, with detection rates of the OH-PAHs ranging from 86.3% to 100%. 2-Hydroxynaphthalene (2-OH-Nap) had the highest urinary concentrations among the OH-PAHs during the three trimesters (specific gravity-adjusted median values for the first, second, and third trimesters: 1.86, 2.39, and 2.20 ng/mL, respectively). However, low reproducibility of the OH-PAHs was observed across the three trimesters with intraclass correlation coefficients ranged between 0.02 and 0.22. Most urinary OH-PAHs had the highest concentrations at the first trimester and the lowest at the third trimester. Some OH-PAH concentrations were higher in pregnant women with lower educational level [2-hydroxyphenanthrene (2-OH-Phen) and 3-hydroxyphenanthrene (3-OH-Phen)], those who were overweight [2-OH-Nap, 2/3-hydroxyfluorene (2/3-OH-Fluo), 2-OH-Phen, and 4-hydroxyphenanthrene (4-OH-Phen)], those who were unemployed during pregnancy [1-hydroxynaphthalene, 1/9-hydroxyphenanthrene, and 4-OH-Phen], and the samples donated in summer (most OH-PAHs, except for 2-OH-Nap). In multivariable linear mixed-effects model analyses, every OH-PAH was found to be significantly associated with increased levels of the three OSBs. For example, each interquartile range-fold increase in 2/3-OH-Fluo concentration was associated with the largest increase in 8-OHdG (65.4%) and 8-OHG (49.1%), while each interquartile range-fold increase in 3-OH-Phen concentration was associated with the largest increase in HNEMA (76.3%). Weighted quantile sum regression models, which were used to examine the joint effect of OH-PAH mixture on the OSBs, revealed positive associations between the OH-PAH mixture exposure and the OSBs. Specifically, 2/3-OH-Fluo and 2-OH-Nap were the major contributors in the association with oxidative damage of nucleic acids (8-OHdG and 8-OHG), while hydroxyphenanthrenes and 1-hydroxypyrene were the major contributors in the association with oxidative damage of lipid (HNEMA). Further work is required to examine the potential mediating role of oxidative stress in the relationship of adverse health outcomes with elevated PAH exposure among pregnant women.

The Chinese version of rating scale of pain expression during childbirth (ESVADOPA): reliability and validity assessment

BackgroundChildbirth pain is a physiological phenomenon during the delivery process, the intense pain of childbirth could bring harmful effects to pregnant women and their babies. Assessment of childbirth pain is the first step in childbirth pain intervention. Some pain assessment scales have shortcomings such as interfering in the birthing process and affecting pain perception during delivery, while the Rating Scale of Pain Expression during Childbirth (ESVADOPA) could be used as an auxiliary scale to compensate for these shortcomings. The purpose of this study was to introduce the ESVADOPA and adapt it among Chinese pregnant women to check on the psychometric properties of the translated version of ESVADOPA.MethodsA new translation model based on Brislin’s classical back translation model was used to translate and cross-cultural adapt the ESVADOPA. During June 2021 and June 2022, pregnant women at Shandong Provincial Hospital Affiliated to Shandong First Medical University were invited. In the stage of translation and cross-culturally adaptation, 18 midwives and 30 pregnant women were invited to participate in the first round of pre-experiment. And in the second round of pre-experiment, 15 midwives and 20 pregnant women were invited to participate. The Chinese version of ESVADOPA was tested on a group of pregnant women (N = 487). Construct validity was evaluated by exploratory factor analysis, confirmatory factor analysis and criterion-related validity. Reliability was assessed by Cronbach’s α coefficient, McDonald Omega, Spearman-Brown split-half reliability and Guttman split-half reliability.ResultsThe item statistical analysis and construct validity resulted in six items and one factor that explained 61.064% of the total variance. Confirmatory factor analysis showed that the data fit the one-factor structure. Criterion-related validity indicated that the scale is significantly and positively correlated with the Numeric Rating Scale (NRS). Cronbach’s α coefficient, McDonald Omega, Spearman-Brown split-half reliability, and Guttman split-half reliability of the Chinese version of ESVADOPA were 0.868, 0.896, 0.845, 0.842, respectively.ConclusionThe Chinese version of the ESVADOPA with good reliability and validity data could be used to assess the pain rating of pregnant women during childbirth without interfering in the birthing process.