Elevated dyslipidemia during pregnancy can adversely affect maternal and child health. It not only increases the risk of preeclampsia, gestational diabetes mellitus (GDM) , hypertriglyceridemic pancreatitis, late abortion, premature delivery and macrosomia, but also significantly increases the risk of postnatal cardiovascular disease.

To analyze the distributional characteristics of dyslipidemia in the first, second and third trimesters of pregnancy and the predictive value of early lipid levels for dyslipidemia in the second and third trimesters of pregnancy.

This was a single-center retrospective study, which included singleton pregnant women who were enrolled in Beijing Obstetrics and Gynecology Hospital, Capital Medical University from January 2018 to June 2019 for obstetrics checkups until delivery. Clinical data and lipid data [total cholesterol (TC) , triacylglycerol (TG) , low-density lipoprotein cholesterol (LDL-C) , and high-density lipoprotein cholesterol (HDL-C) ] were collected in the first, second and third trimesters of pregnancy. The reference range of lipids in department of obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University was used as the diagnostic standard for dyslipidemia, including high total cholesterolemia, high triacylglycerolemia, low HDL-cholesterolemia and high LDL-cholesterolemia. The correlation between lipid levels in the first trimester of pregnancy and dyslipidemia in the second and third trimesters of pregnancy was analyzed by using binary Logistic regression, and the receiver operating characteristics (ROC) curves of the subjects were plotted to obtain the area under ROC curve (AUC) , to evaluate the predictive value of the lipid levels in the first trimester of pregnancy for dyslipidemia in the second and third trimesters of pregnancy, and to determine the optimal cut-off value according to the sensitivity and specificity.

A total of 8 511 singleton pregnant women were included in the study, with an average age of (31.7±3.9) years and an average pre-pregnancy BMI of (21.7±3.2) kg/m². Among them, 988 (11.6%) were of low pre-pregnancy body mass, 5 568 (65.4%) were of normal pre-pregnancy body mass, 1 271 (14.9%) were overweight, 366 (4.3%) were obese, 1 415 (16.7%) were with GDM, and 650 (7.6%) were with hypertensive disorders of pregnancy (HDP) . The levels of TC, TG and LDL-C in the second and third trimesters of pregnancy were higher than those in the first trimester of pregnancy (P<0.05) . The level of HDL-C in the third trimester of pregnancy was higher than that in the first trimester of pregnancy, but lower than that in the second trimester of pregnancy (P<0.05) . The prevalence of dyslipidemia in the first trimester of pregnancy was 23.4% (1 990/8 511) , and the prevalence of dyslipidemia in the second and third trimesters of pregnancy was lower than that in the first trimester of pregnancy (P<0.05) . The prevalence of dyslipidemia in overweight and obese pregnant women in the first trimester of pregnancy was higher than that in pregnant women with normal pre-pregnancy body mass, but there was no statistical difference in the prevalence of dyslipidemia in the third trimester of pregnancy (P>0.05) . The prevalence of dyslipidemia in first and second trimesters of pregnancy in the GDM group was higher than that in the non-GDM group, and the prevalence of dyslipidemia in first, second and third trimesters of pregnancy in HDP group was higher than the non-HDP group (P<0.05) . After excluding pregnancy comorbidities and complications that may affect blood lipids, the optimal cut-off values for predicting dyslipidemia in the second trimester of pregnancy were TC of 4.485 mmol/L (AUC=0.854) , TG of 1.325 mmo/L (AUC=0.864) , HDL-C of 1.275 mmol/L (AUC=0.908) , and LDL-C of 2.265 mmol/L (AUC=0.823) , respectively; the optimal cut-off values for predicting dyslipidemia in the third trimester of pregnancy were TC of 4.485 mmol/L (AUC=0.809) , TG of 1.145 mmol/L (AUC=0.833) , HDL-C of 1.285 mmol/L (AUC=0.851) , LDL-C of 2.195 mmol/L (AUC=0.766) .

The prevalence of dyslipidemia did not increase during pregnancy. There were significant differences in the prevalence of dyslipidemia during pregnancy among pregnant women with different pre-pregnancy BMI, between GDM and non-GDM pregnant women, between HDP and non-HDP pregnant women, respectively. The blood lipid level in the first trimester was helpful to predict the occurrence of dyslipidemia in the second and third trimesters of pregnancy.

The development of maternal and child health requires reducing urban-rural, regional and group disparities in the health of women and children. Focusing on the quality of life of maternal women in rural areas and other low-income areas is of great significance to improve the inequalities in maternal and child health.

To analyze the current situation of maternal quality of life during pregnancy and its influencing factors in rural China.

From September 2018 to September 2019, a total of 3 329 pregnant women were selected from 6 county-level medical institutions in Shanxi Province, Sichuan Province and Yunnan Province (Zhaoyang District People's Hospital, Yiliang County People's Hospital, Pingchang County Maternal and Child Health Care Hospital, Yingshan County Maternal and Child Health Care Hospital, Ziyang County Maternal and Child Health Care Hospital, and Hanyin County Maternal and Child Health Care Hospital) as the research objects to collect basic information of pregnant women. WHOQOL-BREF scale was used to investigate the quality of life of pregnant women. Multiple linear regression analysis was used to explore the influencing factors of each dimension of the quality of life score.

A total of 3 294 questionnaires were included, with a valid questionnaire rate of 98.94%. The average WHOQOL-BREF score of pregnant women was (81.99±11.01) points, and the social relation score was the highest among the 4 dimensions [ (69.13±12.46) points] , followed by the psychological dimension score [ (66.99±12.59) points] , physiological dimension score [ (65.40±12.62) points] , environmental dimension score [ (65.02±12.11) points] . Stratified comparison results showed that there were statistically significant differences in the scores of physiological dimension, psychological dimension, social relation dimension and environmental dimension among pregnant women of different ages, total annual income levels, places of residence, education levels and occupations (P<0.05) . The difference was statistically significant in psychological dimension score when comparing pregnant women with different preconception BMI (P<0.05) . There were significant differences in the scores of psychological dimension and environmental dimension of pregnant women with weight gain during different gestation periods (P<0.05) . The scores of psychological dimension, social relation dimension and environmental dimension of pregnant women with different medical insurance types were compared, and the differences were statistically significant (P<0.05) . The score of environmental dimension of parturients was significantly lower than that of parturients (P<0.05) . The scores of physiological dimension, psychological dimension and environmental dimension of pregnant women with exercise habit were higher than those of pregnant women without exercise habit, and the difference was statistically significant (P<0.05) . The results of multiple linear regression analysis showed that age, exercise habit, education level and occupation were the influencing factors of physiological dimension score (P<0.05) . Age, pre-pregnancy BMI, family history, exercise habits, education level and medical insurance type were the influencing factors of psychological dimension score (P<0.05) . Age and exercise habit were the influencing factors of social relation dimension score (P<0.05) . Family history, weight gain during pregnancy, exercise habits, residence type, occupation, total annual income level and medical insurance type were the influencing factors of environmental dimension score (P<0.05) .

There is still much room for improvement in the quality of life of pregnant women in rural areas of China. In addition to individual factors such as age, parity, social factors such as place of residence and health insurance coverage are also significant influencing factors, improvement from the social perspective remains a priority for maternal and child health care in the future.

Noninvasive prenatal screening is more effective in screening for fetal aneuploidy than does traditional serological screening. We attempted to analyze the real-world data about the positive predictive value (PPV) for chromosome aneuploidy, and chromosome copy number variation (CNV) obtained by noninvasive prenatal testing (NIPT) , and to explore the pregnancy outcome for fetuses with sex chromosome aneuploidies and chromosome microdeletion or microduplication determined by pregnant women.

To assess the clinical value of karyotype analysis and chromosomal microarray analysis (CMA) of the testing results of NIPT.

Five-hundred and twenty-eight pregnant women who were found with a fetus at high risk of chromosome aneuploidy, and CNV by NIPT were selected from Department of Reproductive and Genetic Medicine, Hebei General Hospital, from January 1, 2014 to December 31, 2018. Amniocentesis or umbilical vein puncture was performed in them to obtain fetal cells for a definite prenatal diagnosis using karyotype analysis and CMA. All delivered cases were followed up by telephone within one year after childbirth to understand the pregnancy outcome.

Prenatal diagnosis analysis revealed that 447 fetuses were at high risk of chromosome aneuploidy. And PPVs for the risk of trisomy 21, trisomy 18, trisomy 13, sex chromosome aneuploidies, and other chromosome aneuploidy were 82.86% (174/210) , 51.52% (34/66) , 12.50% (4/32) , 50.82% (62/122) , and 5.88% (1/17) , respectively. Another 81 fetuses were at high risk of CNVs. CMA suggested that copy number variations were found in 28 cases (PPV 34.57%) , and the proportion with a clear pathogenic significance reached 24.69% (20/81) . Among the subjects under 35 years and 35 years or older, the proportions of abnormal results confirmed by prenatal diagnosis were 48.51% (147/303) and 70.22% (158/225) , respectively, showing statistically significant difference (χ²=24.938, P<0.05) . Out of the 62 pregnant women diagnosed with fetal sex chromosome abnormality, 13 (20.97%) continued with the pregnancy. Eight cases were reported no clear significance in CMA, among them one case was lost to follow-up, other seven cases chose to continue pregnancy. Among the seven infants, five were born healthy and developed normally, one girl had six fingers in both hands and the remaining one's situation was unknown.

The real-world data regarding PPVs for chromosomal aneuploidies and CNVs by NIPT, and follow-up of pregnancy outcome obtained by us, provide a reliable basis for clinical genetic counseling and treatment. It is recommended to perform karyotype analysis and CMA for a pregnant woman with a fetus with suspected chromosomal abnormality (extra or missing chromosomes, chromosome microdeletion, or microduplication) suggested by NIPT, to identify chromosome inversion, balanced translocation, low proportion chimerism and some morphological abnormalities, so as to improve the detection rate of fetal chromosome abnormalities.

The prevalence of urinary incontinence (UI) is high, which greatly affects the quality of life of women. Studies have shown that pelvic floor muscle training (PFMT) is an effective prevention and treatment method. A randomized controlled trial was conducted previously with a result showing absence of a positive effect, when comparing a mobile APP-based pelvic floor muscle training programme with usual care, and the reasons need to be further explored.

This study intends to conduct an exploratory analysis of the negative result of a pelvic floor muscle training program during pregnancy based on a mobile APP, aiming to explore the factors affecting the preventive effect of postpartum UI and the subgroups that benefited.

The data comes from a randomized controlled trial carried out in the obstetrics clinic of a hospital in Shenzhen from June to October 2020. Convenience sampling technique was adopted to recruit pregnant women. A total of 126 participants were recruited, of which 63 were randomly assigned to intervention group, 63 to control group using a random numbers table. The control group received routine nursing care. The intervention group received the usual care plus "UIW" (Urinary Incontinence for Women) APP-based self management of UI. During the 42-day postpartum follow-up, the postpartum related data of the two groups were collected, including the occurrence of UI on the 42nd postpartum day. The subjects were divided into case group and the control group according to the present of postpartum UI. Logistic regression analysis was used to explore the confounding factors and their interaction with intervention methods on the present of postpartum UI. Subgroup analysis based on the results of Logistic regression analysis was performed to explore whether there are subgroups who can benefit from APP intervention.

There were statistically significant differences in the history of vaginal delivery, the presence of UI at the time of recruitment, and the Broome Pelvic Floor Muscle Self-efficacy Scale (BPMSES) score between the case group and the control group (P<0.05) . Logistic regression analysis showed that the presence of UI at the time of recruitment was a significant risk factor for postpartum UI〔OR=15.897, 95%CI (4.724, 53.495) , P<0.001〕. The interaction between BPMSES score and intervention method could affect the occurrence of postpartum UI〔OR=1.034, 95%CI (1.017, 1.051) , P<0.001〕. Further subgroup analysis found that for pregnant women with UI symptoms at the time of enrollment, APP-based intervention showed a better effect of preventing postpartum UI (χ²=4.18, P=0.041) , while for pregnant women without UI symptoms at the time of enrollment, the effect did not been observed (χ²=1.89, P=0.284) .

It is recommended that pregnant women with UI symptoms use "UIW" APP to prevent postpartum UI. However, there is insufficient evidence to prevent postpartum UI in people without UI symptoms during pregnancy. In addition, regardless of UI symptoms, pregnant women with high PFMT self-efficacy are expected to benefit from "UIW" APP.

Hypertensive disorders of pregnancy (HDP) is one of the most common complications of pregnancy and one of the leading causes of maternal mortality worldwide. In 2023, the Society of Obstetricians of Australia and New Zealand released the A Summary of the 2023 Society of Obstetric Medicine of Australia and New Zealand Hypertension in Pregnancy Guideline. This article interprets its key contents and proposes suggestions on non-drug intervention measures and refined management processes for HDP in China, in order to provide a new basis for the management of HDP in China.

Delayed onset of lactogenesis (DOL) is an important cause of failed lactation. Excessive gestational weight gain and postpartum depression will increase the risk of DOL, but appropriate physical activity (PA) during pregnancy may effectively prevent excessive gestational weight gain, improve postpartum negative mood, benefiting breastfeeding. However, the relationship between PA during pregnancy and DOL is still unclear.

To investigate the PA level in the third trimester and its association with DOL, providing a basis for early prevention of DOL and ensuring breastfeeding success.

A prospective study design was adopted. Participants were women in their third trimester who underwent prenatal examination and later delivery in the 901 Hospital, Joint Logistic Support Force of the Chinese People's Liberation Army, from December 2020 to August 2021. General information (including demographic and obstetric data) , PA and sedentary behaviour time (evaluated by the International Physical Activity Questionnaire-Short Form) , postpartum depression (evaluated by the Edinburgh Postnatal Depression Scale) , and DOL were investigated and collected. Unconditional Logistic regression analysis was used to explore the relationship between PA level in the third trimester and DOL.

A total of 261 cases were selected, and 247 of them (94.7%) who returned responsive questionnaires were finally enrolled. The prevalence of DOL was 27.9% (69/247) . Respondents with and without DOL had significant differences in gestational weight gain, depression prevalence, and prevalence of infant formula feeding within 48 hours after delivery (P<0.1) . The prevalence of having appropriate and inappropriate PA in the third trimester was 73.3% (181/247) and 26.7% (66/247) , respectively. The prevalence of duration of sedentariness ≥6.5 h/d was 15.8% (39/247) . Respondents with DOL had lower prevalence of having appropriate PA, and higher prevalence of duration of sedentariness ≥6.5 h/d than did those without (P<0.05) . Unconditional Logistic regression analysis showed that inappropriate PA level 〔OR=0.421, 95%CI (0.223, 0.797) 〕 and longer duration of sedentariness ≥6.5 h/d〔OR=0.193, 95%CI (0.090, 0.414) 〕 in the third trimester were associated with increased risk of DOL (P<0.05) .

Inappropriately increasing the level of PA during pregnancy and reducing the duration of sedentariness per day could reduce the risk of DOL and effectively improve the rate of successful breastfeeding.

Perinatal mental disorders are one of the most common disorders during pregnancy and may lead to adverse maternal and offspring outcomes. There is an increasing number of women currently at risk for emotional problems such as anxiety and depression during pregnancy and childbirth, and women with previous mental disorders are also at risk of relapse during pregnancy. At the same time, the lack of clinical guidelines for the diagnosis and treatment of perinatal mental disorders has made the work of clinicians even more challenging. The expert writing group integrated the latest medical evidence and clinical practice in related fields at home and abroad to form the expert consensus, consisting of the epidemiology and pathogenesis, clinical manifestations, clinical evaluation, diagnosis, treatment and management of perinatal mental disorders, which can provide reference and guidance for practical clinical work. The consensus advocates comprehensive, whole-process, hierarchical, multidisciplinary and collaborative diagnosis and treatment, to help frontline clinicians screen, rationally assess and clinically diagnose perinatal pregnant women as soon as possible, as well as provide necessary psychological interventions and clinical medication for them.

Birth weight is closely related to individual health. Low birth weight is a high-risk factor for early neonatal death. Macrosomia is associated with higher risk of maternal and infant complications and various chronic diseases in adulthood. Therefore, it is very important to identify the influencing factors of neonatal birth weight.

To investigate the relationship between maternal intestinal flora and neonatal birth weight.

Participants were 516 singleton mothers and their babies〔24 with low birth weight (LW group) , 479 with normal birth weight (NW group) and 13 with macrosomia (OW group) 〕 delivered at term in Guangzhou Women and Children's Medical Center from January to September 2017. Maternal intestinal flora and clinical laboratory test parameters were collected, and the composition and diversity of intestinal flora were analyzed using QIIME. LEfSe analysis was used to compare the relative abundance of intestinal flora at the genus level of the mothers of three groups of babies to identify the flora with significant intergroup differences. MaAslin was used to assess associations of maternal laboratory test parameters and microbial genera. The Boruta was used to build models for predicting three types of neonatal birth weight using maternal laboratory test parameters and intestinal flora OTUs, to assess the association of maternal intestinal floras and neonatal birth weight.

The analysis of maternal intestinal floras showed that the abundance of Firmicutes was the highest at the phylum level, and Faecalibacterium was significantly enriched at the genus level. There were no significant differences in Simpson's Diversity Index and Shannon Diversity Index at the phylum level across the maternal intestinal floras of three groups of babies (P>0.05) . LEfSe analysis found that compared with intestinal flora of mothers of LW group, the intestinal flora of mothers of NW group showed significantly enriched Streptococcus and Roseburia (P<0.05) , and significantly reduced abundance of Bacillaceae, Raphanus, Methanosphaera, Barnesiella and Paraprevotella (P<0.05) , while the intestinal flora of mothers of OW group demonstrated significantly enriched Closrtidiaceae and Alistipes as well as significantly reduced abundance of Barnesiella (P<0.05) . Compared with intestinal flora of mothers of NW group, the intestinal flora of mothers of OW group indicated significantly enriched Megamonas, Coprococcus, Veillonellaceae, cc-115, Closrtidiaceae and Alistipes, and significantly reduced abundance of Blautia and Eggerthella (P<0.05) . The area under ROC curve (AUC value) based on laboratory test parameter OTUs model and intestinal flora OTUs model was 0.62 and 0.77, respectively, in discriminating LW from NW, and was 0.65, and 0.78 respectively, in discriminating OW from NW.

Neonatal birth weight varied by the features of maternal intestinal floras. The OTUs model based on maternal intestinal flora could distinguish the neonatal birth weight. Maternal intestinal flora may be a good predictor of neonatal birth weight.

Stubbornly high pregnancy prevalence in adolescent females worldwide, results in numerous adverse pregnancy outcomes, causing wide public concern. Thereby, it is pressing to study the pregnancy characteristics, adverse pregnancy outcomes and associated factors in adolescent primiparous females.

To examine adverse pregnancy outcomes and related factors in adolescent primiparous females via comparing pregnancy outcomes of them with those of emerging and early adult females.

Primiparous females (n=12 222, <35 year old) with ≥28 weeks of gestation were recruited from Ningbo Women and Children's Hospital during 2019—2020, including 210 aged 13-19 (adolescent group) , 1 729 aged 20-24 (adult group 1) , and 10 283 aged 25-34 (adult group 2) . Data were collected for maternal demographics, pregnancy complications, comorbidities, delivery course and adverse fetal outcomes. The associations of age, marital status, education background, rural or urban living, income, body mass index (BMI) with adverse maternal and fetal outcomes were analyzed.

Adolescent primiparas had higher proportions of individuals with unmarried status, junior high school or lower education level, rural living, and an unstable income, as well as less mean prenatal care visits than the other two groups (P<0.05) . Moreover, adolescent primiparas also had higher rates of placental abruption, maternal anemia, vaginal delivery, perineal laceration, premature labor, (very) low-birth-weight infant, and stillbirth (P<0.05) . Multivariate Logistic regression analysis demonstrated that in adolescent primiparas, 13-24 years, unmarried and BMI<18.5 kg/m² were associated with lower risk of gestational diabetes (P<0.05) ; gravida≥3 and BMI≥28 kg/m² were risk factors for gestational diabetes (P<0.05) ; 13-24 years, unmarried, unstable income and BMI≥28 kg/m² were risk factors for vaginitis (P<0.05) ; 13-19 year-old, unmarried, junior high school or lower education level and unstable income were risk factors for placental abruption (P<0.05) ; gravida≥3 was the risk factor for placenta previa (P<0.05) ; 13-24 years, unmarried, junior high school or lower education level, rural living and unstable income were risk factors for maternal anemia (P<0.05) ; BMI≥28.0 kg/m² was associated with lower risk of maternal anemia (P<0.05) . Further analysis showed that 13-24 years, unmarried, junior high school or lower education level, rural living and BMI<18.5 kg/m², were associated with higher possibility of having vaginal delivery (P<0.05) , whereas gravida≥3 was associated with higher possibility of having cesarean section (P<0.05) . Aged 13-19 years, unmarried, junior high school or lower education level, unstable income, gravida≥3, and BMI<18.5 kg/m² or ≥28.0 kg/m² were risk factors for premature labor (P<0.05) . Aged 13-19 year-old, unmarried, junior high school or lower education level, rural living, unstable income, gravida≥3, and BMI<18.5 kg/m² were risk factors for (very) low-birth-weight infants (P<0.05) . 20-24 year-old was associated with lower risk of fetal distress (P<0.05) . 13-19 year-old and unmarried were risk factors for stillbirth (P<0.05) . 13-24 years, junior high school or lower education level, rural living, unstable income, and gravida≥3 were risk factors for neonatal asphyxia (P<0.05) .

Adolescent primiparous females were featured by high rates of having unmarried status, rural living, an unstable income, low education level, fewer prenatal care visits, and adverse pregnancy outcomes. Younger age, unmarried, poor socioeconomic status, higher number of pregnancies, and excessive low or high BMI were risk factors for adverse pregnancy outcomes in this group. Healthcare specialists should schedule prenatal examinations for these people based on the high risk factors accordingly. And government at all levels and affiliated adolescent institutions should offer appropriate social and economic support for teenage mothers to reduce adverse pregnancy outcomes.

Chromosomal abnormalities are one of the common causes of birth defects, and karyotype analysis is still an important method for prenatal diagnosis of chromosomal abnormalities as well as an effective way to prevent and control birth defects. However, karyotype analysis, especially chromosomal image segmentation and classification mainly depends on manual work at present, which is laborious and time-consuming. As an emerging approach to karyotype analysis, it is of great significance to investigate the application value of artificial intelligence (AI) in prenatal chromosomal karyotype diagnosis.

To investigate the application effect and clinical value of AI in prenatal karyotype diagnosis.

A total of 1 000 pregnant women who received interventional prenatal diagnosis and karyotype analysis of amniotic fluid cells in the department of medical genetics and prenatal diagnosis of Wuxi Maternity and Child Health Care Hospital between 2020 and 2022 were selected as the study subjects. The karyotype analysis of all cases was performed using two-line mode, the results of the AI reading were reviewed by one geneticist in the first line, and another geneticist analyzed the karyotypes by Ikaros karyotype analysis workstation in the second line, the diagnostic results and time were recorded respectively. The final diagnosis of the samples were based on the manual review of the first line and the manual reading of the second line.

Among the 1 000 amniotic fluid samples, 735 cases were diagnosed as normal karyotype, 233 cases as aneuploidy, 0 case as structural abnormality and 32 cases as mosaicism by AI. The numbers of normal karyotype, aneuploidy, structural abnormality and mosaicism assessed by AI-assisted geneticist were 689, 233, 45 and 33, which were completely consistent with those evaluated by geneticist using Ikaros system. Compared with AI-assisted geneticist, AI-based diagnosis had strong consistency (Kappa=0.895, 95%CI=0.866-0.924, P<0.01). The diagnostic accuracy, sensitivity and positive predictive value of AI-based diagnosis was 95.4%, 95.4% and 100.0%, respectively, among which the normal karyotype, aneuploidy, structural abnormality and mosaicism were detected with a sensitivity of 100.0%, 100.0%, 0 and 97.0%, and the positive predictive value of 100.0%, 100.0%, 0 and 100.0%. The average diagnostic time of AI was shorter than that of AI-assisted geneticist and Ikaros-assisted geneticist (P<0.001), and AI-assisted geneticist took less time on average to diagnose than the Ikaros-assisted geneticist (P<0.001) .

AI-assisted karyotype analysis of amniotic fluid cells has a high degree of automation, but its ability to recognize chromosomal structural abnormalities needs to be improved. It is suggested that AI be combined with the geneticist for karyotype analysis in clinical application to ensure the quality of prenatal diagnosis and improve efficiency.

The correct reference range for maternal thyroid function during pregnancy is essential for making an accurate diagnosis of thyroid disease and delivering proper interventions in pregnant women. But there is still no universal standard for this in women with a twin pregnancy.

To determine a rational reference range for maternal thyroid function during twin pregnancies.

Healthy pregnant women who underwent antenatal examination in Obstetric Clinic, Beijing Friendship Hospital, Capital Medical University from January 2009 to September 2019 were retrospectively selected, including 352 with a twin pregnancy (twin group) , and 988 with a singleton pregnancy (singleton group) . Clinical and laboratory data were collected. The lower and upper limits for determining normal maternal thyroid function during twin pregnancies were the 2.5 (P_2.5) and 97.5 (P_97.5) percentiles of TSH and FT₄. Clinical hyperthyroidism was defined as TSH<P_{2.5 (total TSH)} and FT₄>P_{97.5 (total FT4)} . Clinical hypothyroidism was defined as TSH>P_{97.5 (total TSH)} and FT₄<P_{2.5 (total FT4)} . Subclinical hypothyroidism was diagnosed by TSH>P_97.5 and P_2.5≤FT₄≤P_97.5. Low T₄ syndrome was diagnosed by P_{2.5 (total TSH)} ≤TSH≤P_{97.5 (total TSH)} and FT₄<P_{2.5 (total FT4)} . FT₄ and TSH levels in the early, middle and late pregnancy were compared between singleton and twin groups. Prevalence of thyroid function abnormalities in the early, middle and late pregnancy was in twin group was recorded and analyzed.

Three hundred and fifty-two pregnant women with a twin pregnancy and 988 with a singleton pregnancy were finally included. The average FT₄ level in the twin group was higher than that of the singleton group regardless of the stage of pregnancy (P<0.05) . The average TSH level in the twin group was lower in the early pregnancy, but was higher in late pregnancy compared with that of singleton group (P<0.05) . For maternal thyroid function during a twin pregnancy, the determined normal FT₄ in the early, middle and late pregnancy expressed as median and interquartile range M (P_2.5, P_97.5) was 〔11.84 (7.95, 26.73) 〕, 〔8.24 (5.53, 18.58) 〕, 〔8.37 (5.80, 15.79) 〕pmol/L, respectively, and the determined normal TSH in the three stages of pregnancy was〔0.67 (0.03, 3.99) 〕, 〔1.44 (0.06, 4.79) 〕, 〔2.43 (0.41, 6.92) 〕mU/L, respectively. In the twin group, the prevalence of hyperthyroidism, clinical hypothyroidism, subclinical hypothyroidism, and low T₄ syndrome was 0, 0.28% (1/352) , 4.83% (17/352) and 3.98% (14/352) , respectively, by the above-mentioned criteria for diagnosing thyroid disease in a twin pregnancy, and that of the four diseases was 8.24% (29/352) , 0, 15.91% (56/352) and 1.99% (7/352) , respectively, by the criteria for diagnosing thyroid disease in a singleton pregnancy.

In this study, the recommended reference ranges of FT₄ in the early, middle and late stages of pregnancy were 7.95-26.73, 5.53-18.58 and 5.80-15.79 pmol/L, respectively, and the reference ranges of TSH were 0.03-3.99, 0.06-4.79 and 0.41-6.92 mU/L, respectively. Based on the FT₄ and TSH standards of the pregnant women with twin pregnancies obtained in our laboratory as the reference standards, the incidence of thyroid dysfunction detected in the pregnant women with twin pregnancies is low, which is consistent with relevant literature reports. The FT₄ and TSH standard range of single pregnancy obtained in our laboratory may lead to overdiagnosis of hyperthyroidism and subclinical hypothyroidism in pregnant women of twin pregnancy. So it is necessary to establish specific reference intervals for pregnant women with twin pregnancies based on the FT₄ and TSH standard ranges obtained in our laboratory.

The total gestational weight gain is closely related to the gestational week at delivery. Choosing the gestational weight gain rate (GWGR) as a indicator can reduce the interference of gestational week on the results. Currently, available recommendations regarding GWGR are controversial. Few studies have explored the correlation between GWGR in second and third trimesters and delivery outcomes in women with gestational diabetes mellitus (GDM) .

To investigate the association of GWGR in second and third trimesters with pregnancy complications and delivery outcomes in women with GDM.

A total of 370 women with GDM were selected, who had an experience of undergoing delivery in Hangzhou Women's Hospital from March to December 2018, and were included in the Hangzhou Maternal and Offspring Health Cohort Study (clinical trial registration number: ChiCTR1900026149) . According to GWGR in second and third trimesters recommended by the Weight Monitoring and Evaluation during Pregnancy Period of Chinese Women published by the Chinese Nutrition Society in 2021, the subjects were divided into insufficient GWGR group (n=115) , normal GWGR group (n=152) and excessive GWGR group (n=103) . We analyzed the incidence of pregnancy complications and delivery outcomes of the three groups.

Logistic regression analysis demonstrated that excessive GWGR in second and third trimesters was associated with an increased risk of hypertensive disorders of pregnancy〔OR=2.661, 95%CI (1.291, 9.460) 〕, gestational hypothyroidism〔OR=2.288, 95%CI (1.090, 4.805) 〕, gestational hyperlipidemia〔OR=2.085, 95%CI (1.656, 6.630) 〕 and macrosomia〔OR=4.591, 95%CI (1.238, 17.031) 〕 (P<0.05) , and a decreased risk of preterm neonate〔OR=0.117, 95%CI (0.014, 0.959) 〕 (P<0.05) .

Abnormal weight gain in pregnant women is common. Excessive GWGR in second and third trimesters may increase the risk of hypertensive disorders of pregnancy, gestational hypothyroidism, hyperlipidemia and macrosomia, and decrease the risk of preterm neonate in women with GDM.

Natural childbirth is a normal physiological approach of human reproduction, while in China, the cesarean section rate has exceeded the upper limit recommended by the WHO by more than two times. As a nonpharmaceutical intervention facilitating natural childbirth, physical exercise should be valued by relevant departments.

To perform a meta-analysis of studies regarding effects of physical exercise interventions on promoting natural childbirth probability, and to attempt to recommend a better exercise scheme.

Randomized controlled trials (RCTs) about the effect of intrapregancy physical exercise versus routine care (health duration or irregular physical exercise) improving the probability of natural childbirth published between 1990 and 2021 were searched in databases of CNKI, SinoMed, CQVIP, PubMed, EMBase, Web of Science, and Cochrane Library. Meanwhile, the references of systematic reviews on relevant RCTs were also searched and reviewed. Data extraction and methodological quality assessment were conducted for the included studies. RevMan 5.2 was used for meta-analysis. GRADE was used to rate the quality of evidence concerning an outcome.

A total of 30 studies with 3 910 subjects were included. Meta-analysis found that physical exercise interventions were superior to routine care in improving the natural childbirth rate〔RR=1.34, 95%CI (1.28, 1.40) , P<0.000 01〕. Subgroup analyses revealed that natural childbirth rate was improved the most by physical exercise intervention started later than 24 weeks of gestation, followed by that started at 13-24 weeks of gestation, and 12 or less than 12 weeks of gestation. With respect to the type of physical exercise, the natural childbirth rate was improved the most by pelvic floor muscle training, general sports lessons, gymnastics, aerobic exercise, birthing ball movement, and yoga. As for the frequency of physical exercise, the natural childbirth rate was improved the most by at least 12 times per week, followed by 3-5 times per week, 6-8 times per week, and 9-11 times per week. In terms of the intensity of physical exercise, the natural childbirth rate was improved the most by moderate intensity of physical exercise. With regard to the duration of physical exercise, the natural childbirth rate was improved the most by physical exercise lasting for 30-<50 minutes per time, followed by less than 30 minutes per time, and at least 50 minutes per time. In respect to the number of weeks of conducting physical exercise, the natural childbirth rate was improved the most by physical exercise lasting for 8 or less than 8 consecutive weeks, followed by l7-24 weeks, 9-16 weeks, and 25-34 weeks. Funnel plot assessing publication bias of the studies was basically symmetrical in shape, indicating that the publication bias was generally weak. The overall quality of evidence concerning improvements in natural childbirth rate by physical exercise interventions in the studies was rated moderate.

The results show that proper physical exercise during pregnancy favorably affects the probability of natural childbirth. The natural childbirth probability could be positively influenced by some types of moderate-intensity physical exercise interventions, such as pelvic floor muscle training, general sports lessons, gymnastics, aerobic exercise, birthing ball movement, and yoga, if they are performed at least 12 times per week (30-<50 minutes each time) within 8 consecutive weeks after 24 weeks of gestation.

Embryo anomaly is the most common cause of implantation failure and abortion in women of reproductive age. However, there is controversy about the cause of implantation failure or miscarriage that occurs after the transfer of a normal embryo screened by preimplantation genetic testing (PGT) .

To analyze the influencing factors affecting implantation failure and miscarriage after PGT assisted reproduction.

Three hundred and twenty-nine women who received PGT assisted reproduction in Reproductive Center, the First Affiliated Hospital of Anhui Medical University from December 2018 to February 2021 were enrolled, including 218 with clinical pregnancy〔175 of whom had a live birth (live birth subgroup) , and 43 had an abortion (abortion subgroup) 〕, and 111 with implantation failure. Clinical data, results of accessory examinations, ovulation induction and in vitro embryonic development were compared between women with clinical pregnancy and implantation failure, and between live birth and abortion subgroups. The influencing factors of implantation failure and abortion after PGT assisted reproduction were screened by multivariate logistic regression analysis, and predictive values of the determined factors for implantation failure and abortion were estimated using the receiver operating characteristic (ROC) analysis.

Multivariate logistic regression analysis showed that, two or more previous abortions〔OR=4.032 0, 95%CI (2.423 0, 6.710 0) 〕 and low level of high-density lipoprotein cholesterol (HDL-C) 〔OR=3.890 0, 95%CI (1.455 0, 10.403 0) 〕were risk factors for implantation failure after PGT assisted reproduction (P<0.05) , while the low gonadotropin (Gn) dosage〔OR=0.999 5, 95%CI (0.999 2, 0.999 9) 〕 was associated with decreased risk of implantation failure after PGT assisted reproduction (P<0.05) . Two or more abortions〔OR=2.203 0, 95%CI (1.099 0, 4.417 0) 〕 and low normal rate of embryo biopsy〔OR=5.655 0, 95%CI (1.286 0, 24.865 0) 〕 were associated with increased risk of abortion after PGT assisted reproduction (P<0.05) , while low fasting insulin (FINS) level〔OR=0.912 0, 95%CI (0.835 0, 0.996 0) 〕 was associated with decreased risk of abortion after PGT assisted reproduction (P<0.05) . ROC analysis indicated that for predicting implantation failure after PGT assisted reproduction, the AUC of two or more previous abortions was 0.650 with 70.3% sensitivity, 59.6% specificity and Youden index of 0.299, the AUC of HDL-C level was 0.579 with 33.3% sensitivity, 80.3% specificity and Youden index of 0.136, and the AUC of the dosage of Gn was 0.561 with 60.4% sensitivity, 56.9% specificity and Youden index of 0.173. The AUC of two or more previous abortions for predicting the abortion after PGT assisted reproduction was 0.648 with 66.2% sensitivity, 63.4% specificity and Youden index of 0.296, and the AUC of fasting insulin level was 0.629 with 72.1% sensitivity, 52.6% specificity and Youden index of 0.247, and that of normal embryo biopsy rate was 0.641 with 65.1% sensitivity, 60.6% specificity and Youden index of 0.257.

Two or more previous abortions, dosage of Gn and serum HDL-C were influencing factors and partial predictors of implantation failure after PGT assisted reproduction. And two or more previous abortions, fasting insulin level, and normal embryo biopsy rate were influencing factors and partial predictors of abortion after PGT assisted reproduction.

With the rapid development of economy and the change of fertility concept in modern population, the number of advanced maternal age is increasing year by year. Compared with appropriate maternal age, advanced maternal age is more likely to suffer from depressive symptoms due to personal, family, work, and other reasons.

To systematically evaluate the detection rate of postpartum depression in advanced maternal age (≥35 years at delivery) in China to provide relevant evidence for early prevention and intervention.

CNKI, Wanfang, VIP, CBM, PubMed, Cochrane Library, Embase, and Web of Science were searched for articles on the detection rate of postpartum depression in advanced maternal age in China by combining subject terms and free terms from inception to July 2023. The process of literature screening, data extraction and quality assessment were carried out by two researchers independently. Stata 16.0 software was used for data analysis.

A total of 21 studies were included, with a total sample size of 5 163. The results of Meta-analysis showed that the overall detection rate of postpartum depression in advanced maternal age in China was 20.0% (95%CI=17.4%-22.6%). The subgroup analysis revealed that the detection rate of postpartum depression was 19.5% (95%CI=13.8%-25.3%) in women < 40 years old, 40.3% (95%CI=11.4%-69.3%) in women ≥ 40 years old, 19.7% (95%CI=11.7%-27.7%) in women with high school education level or higher, 30.7% (95%CI=19.1%-42.3%) in women with high school education level or lower, 21.1% (95%CI=14.4%-27.9%) in primipara, 16.2% (95%CI=12.9%-19.6%) in multipara, 16.4% (95%CI=12.2%-20.6%) in natural childbirth, 27.8% (95%CI=20.9%-34.8%) in cesarean section, 20.7% (95%CI=15.6%-25.8%) in women with male newborn and 27.3% (95%CI=20.5%-34.0%) in women with female newborn; there were 38.7% (95%CI=22.6%-54.8%) women with pregnancy complications, 11.7% (95%CI=7.6%-15.8%) women without pregnancy complications, 29.5% (95%CI=17.9%-41.1%) women with adverse pregnancy and childbirth history, 27.7% (95%CI=16.6%-38.8%) women without adverse pregnancy and childbirth history, 18.0% (95%CI=16.5%-19.4%) published the year before 2020, 19.5% (95%CI=18.0%-21.0%) published the year after 2020, 20.4% (95%CI=18.2%-22.6%) in the north and 18.2% (95%CI=17.0%-19.4%) in the south, 20.0% (95%CI=18.5%-21.5%) in the Edinburgh Postnatal Depression Scale (EPDS) score ≥ 13 and 16.9% (95%CI=15.2%-18.5%) in the EPDS score ≥ 10. The Egger's test (t=1.76, P=0.095) and the Begg's test (Z=1.48, P=0.147) indicated no significant publication bias.

The detection rate of postpartum depression is higher for advanced maternal age in China, including women ≥ 40 years old, with high school education level or lower, primipara, cesarean section, female newborn, pregnancy complications and adverse pregnancy and childbirth history, publish year after 2020, areas of the north, EPDS score ≥ 13, attention should be paid to the psychological status of advanced maternal age, and corresponding prevention and intervention measures should be formulated.

Due to possible neglect of elevated fasting glucose, poor intra-pregnancy glycemic control may occur in gestational diabetes mellitus (GDM) women with isolated fasting hyperglycemia, but whether it is related to adverse pregnancy outcomes, and associated factors need to be evaluated further.

To explore the prevalence of adverse pregnancy outcomes in GDM with simple isolated fasting hyperglycemia and its influencing factors.

A total of 411 GDM patients with isolated fasting hyperglycemia who had prenatal examination in Northwest Women and Children's Hospital between June 2020 and March 2021 were selected, and followed up until delivery. Clinical data and pregnancy outcomes (normal and adverse) were collected. Multivariate Logistic regression was used to examine the factors associated with adverse pregnancy outcomes.

Among the 411 cases, 245 received standardized glycemic management, 157 (38.2%) of whom achieved adequate glycemic control, but other 88 cases (21.4%) still had poor glycemic control; the other 166 cases (40.4%) did not receive standardized blood glucose management. Three hundred and twenty-three (78.6%) patients had adverse pregnancy outcomes, and other 88 (21.4%) had normal pregnancy outcomes. Patients with normal and adverse pregnancy outcomes had statistically significant differences in mean maternal age, prevalence of pre-pregnancy maternal obesity, intra-pregnancy glycemic management, mean fasting glucose, one- and two-hour plasma glucose level during the OGTT, prevalence of HbA_1c≥5.5%, serum total protein, serum albumin, prevalence of hypoproteinemia and the AUC of the time-blood glucose curve of the OGTT (P<0.05) . Multivariate Logistic regression analysis showed that pre-pregnancy maternal overweight or obesity〔OR=2.89, 95%CI (1.45, 5.78) , P=0.003〕, intra-pregnancy glycemic management 〔poor glycemic control: OR=3.64, 95%CI (1.64, 8.06) , P=0.001; non-management: OR=3.46, 95%CI (1.91, 6.25) , P<0.001〕, prenatal HbA_1c〔OR=2.38, 95%CI (1.06, 5.34) , P=0.035〕, hypoproteinemia〔OR=2.25, 95%CI (1.15, 4.41) , P=0.018〕, and elevated AUC of the time-blood glucose curve of the OGTT〔OR=1.23, 95%CI (1.03, 1.47) , P=0.024〕 were associated with increased risk of adverse pregnancy outcomes.

Pre-pregnancy maternal overweight or obesity, uncontrolled or non-management of blood glucose during pregnancy, high prenatal HbA_1c values, hypoproteinemia, and high AUC of the time-blood glucose curve of the OGTT may be high risk factors for adverse outcomes in GDM with isolated fasting hyperglycemia. To improve the rate of normal maternal and neonatal outcomes, clinical guidance should be given to pregnant women to maintain a normal pre-pregnancy weight and to standardizedly manage the blood glucose.

Gestational diabetes mellitus (GDM) is a common complication during pregnancy. However, the adherence to individualized medical nutrition therapy (IMNT) alone among GDM women is poor and the impact of group cognitive behavioral therapy (GCBT) on their pregnancy outcomes remains unclear.

To examine the impact of GCBT on the pregnancy outcomes of women with GDM, and to provide reference for improving pregnancy outcomes and developing effective gestational diabetes management programme.

A total of 878 pregnant women with GDM who delivered and received IMNT in our hospital from 2020 to 2021 were retrospectively selected as the study subjects and divided into the observation group including 141 pregnant women with GDM who received GCBT and the control group including 737 pregnant women with GDM who did not receive GCBT. The differences in pregnancy outcomes of pregnant women with GDM between the two groups before and after propensity score matching were analyzed.

There were 134 pregnant women with GDM in the observation group and 256 pregnant women with GDM in the control group after 1∶2 propensity score matching. The proportion of pregnant women with GDM who gained normal weight in the observation group (50.7%, 68/134) was higher than that in the control group (37.5%, 96/256) (P<0.05) . The gestational weeks of delivery of pregnant women with GDM in the observation group (39.0±1.1) were longer than those in the control group (38.5±1.7) (P<0.05) . Additionally, the proportions of preterm infants (3.7%) , macrosomia (1.5%) , and low birth weight infants (2.2%) were lower than those in the control group (10.5%, 5.9%, and 9.0%, respectively) (P<0.05) .

GCBT can help reduce the risk of the delivery of preterm infants, low birth weight infants, and macrosomia in pregnant women with GDM, providing a reference for the establishment of a multidisciplinary management model for GDM.

The incidence of urinary retention during pregnancy is low which is mainly manifested as dysuria, frequent urination, incomplete urination, lower abdominal distension and abdominal pain and may induce severe complications and adverse pregnancy outcomes, so the early identification and treatment of urinary retention during pregnancy are crucial in clinical practice. Only by timely symptomatic and etiological treatment can the adverse outcome be avoided. This article made a review of the research progress of etiology, diagnosis and treatment, to provide diagnostic and therapeutic approaches and reference for clinical physicians.

The incidence of gestational diabetes mellitus (GDM) remains high, and it is prevalent all over the world. The incidence of GDM in China is up to 14.8%. Intrauterine hyperglycemia during pregnancy is a severe threat to maternal and neonatal health.

The aim of this study was to evaluate the effect of mindfulness-based complementary and alternative therapy for GDM.

This study selected 64 pregnant women with GDM undergoing routine outpatient prenatal examination in Changsha Central Hospital by using convenience sampling from March to December 2021. These patients were randomly assigned into the intervention group (n=31) and the control group (n=33) . The control group received routine psychologicalgcare, nutritional guidance and exercise guidance. The intervention group received 8 weeks of mindfulness-based complementary and alternative therapy on the basis of routine psychological care. This study collected the baseline characteristics and compared the blood sugar and inflammatory biomarkers and adipokines, followed-up neonatal outcomes (birth weight, random blood sugar) .

The fasting blood sugar level, 1-hour blood sugar, 2-hour blood sugar and the expression of interleukin-6, interleukin-8, tumor necrosis factor-α and vaspin were lower than those of the control group (P<0.05) . After the intervention, the fasting blood sugar, 1-hour blood sugar, 2-hour blood sugar, and the expression of interleukin-6, interleukin-8, tumor necrosis factor-α and vaspin in the experiment group were lower than those before the intervention (P<0.05) . The pre-delivey weight, pre-delivery BMI, gestational weight gain, pre-delivey HbA_1c, birth weight of newborns of pregnant women with GDM in the intervention group were lower than those of the control group (P<0.05) , and the random blood sugar of the intervention group was higher than that of the control group (P<0.05) .

The 8 weeks of mindfulness-based complementary and alternative therapy reduced body mass index, effectively controlled blood sugar, reduced expression of inflammatory biomarkers and adipokines, and reduced the risk of neonatal hypoglycemia.

Postpartum depression may occur not only in the mother but also in spouses, which affects their quality of life, increases the social and family economic burden, and is not conducive to the growth and development of the child. Therefore, it is important to identify the factors that influence its occurrence at an early stage.

To clarify the incidence of postpartum depression in Chinese maternal spouses through meta-analysis.

A computerized search was performed for cohort studies, case-control studies, and cross-sectional studies on the incidence of postpartum depression in Chinese maternal spouses in the databases of CNKI, Wanfang Data, VIP, CBM, PubMed, Web of Science, CINAHL, Embase, and Cochrane Library, with the time of search being from the establishment of the databases to March 2024. The search was conducted from the time of database construction to 2024-03-19. Two researchers independently screened the literature, and the included studies were subjected to data extraction, literature quality assessment, and meta-analysis by Stata 14.0 software.

39 papers were finally included, with a total sample size of 12 162 cases. Meta-analysis results showed that the prevalence of postpartum depression among maternal spouses in China was 14% (95%CI=12%-17%). The results of subgroup analysis showed that the incidence of postpartum depression in spouses was 17% (95%CI=13%-22%) within 1 month postpartum and 13% (95%CI=10%-15%) within 1 month-1 year postpartum; the incidence was 17% (95%CI=11%-23%) in inland areas and 13% (95%CI=11%-16%) in coastal regions; the measurement tool EPDS showed an incidence of 13% (95%CI=11%-16%) for spouses in studies using the EPDS and 18% (95%CI=10%-29%) for other study instruments; the incidence of postpartum depression was 15% (95%CI=11%-21%) for spouses of primiparous women and 14% (95%CI=11%-18%) for spouses of multiparous mothers. For the year of publication, the incidence was 16% (95%CI=10%-22%) for studies published from 2007 to 2016 and 14% (95%CI=12%-16%) for studies published from 2017 to 2023. Sensitivity analyses were performed by excluding literature one by one, and the combined effect sizes did not change significantly, suggesting that the meta-merged results were relatively robust. The distribution of each study point on both sides of the funnel plot was symmetrical, and the results of Egger's test showed t=1.79, P=0.082, suggesting that there was no significant publication bias.

The incidence of postpartum depression in Chinese maternal spouses is high, with an overall incidence of 14%, of which the incidence is as high as 17% within 1 month postpartum. Early screening and prevention should be emphasized.

Adequate gestational weight gain (GWG) is critical for maternal and child health. The Institute of Medicine (IOM) standard has long been adopted in clinical practice to guide GWG in China. Since October 2022, China has officially promulgated and adopted the Standard of Recommendation for Weight Gain during Pregnancy Period (WS/T 801-2022) (herein after referred to as SRWGPP) to guide GWG.

To compare the distribution of GWG recommended by the SRWGPP and IOM used for Chinese singleton pregnant women and associated adverse pregnancy outcomes, providing clinical evidence for further application of the SRWGPP.

The data of this study were from a prospective cohort study involving singleton pregnant women who gave birth in Beijing Obstetrics and Gynecology Hospital, Capital Medical University from May 2020 to September 2021 and participated in the Beijing Birth Cohort Study (registration number: ChiCTR220058395) . Baseline information was collected from the participants, and the incidence of pregnancy complications and outcomes was obtained from the clinical health record system. We compared the distribution of GWG of the participants based on the criteria by the SRWGPP and the IOM guidelines. Then we divided the participants into five groups: insufficient weight gain (IOM+IW) , insufficient weight gain+appropriate weight gain (IOM+IW+AW) , appropriate weight gain (IOM+AW) , appropriate weight gain+ excessive weight gain (IOM+AW+EW) , and excessive weight gain (IOM+EW) . The risk of adverse pregnancy outcomes〔large for gestational age (LGA) , small for gestational age (SGA) , macrosomia, low birth weight, and preterm birth〕 was analyzed after adjusting for confounding factors.

A total of 11 839 singleton pregnant women were included. The proportions of women with insufficient, appropriate, and excessive GWG were 36.7% (4 339/11 839) , 38.9% (4 601/11 839) , and 24.5% (2 899/11 839) , respectively, according to the IOM standard, and were 16.2% (1 913/11 839) , 45.0% (5 332/11 839) , and 38.8% (4 594/11 839) , respectively, according to the SRWGPP. The proportions of pregnant women in groups of IOM+IW, IOM+IW+AW, IOM+AW, IOM+AW+EW and IOM+EW were 16.2% (1 913/11 839) , 20.5% (2 426/11 839) , 24.6% (2 907/11 839) , 14.3% (1 694/11 839) and 24.5% (2 899/11 839) , respectively. The results from multivariate Logistic regression analysis showed that the risk of overall adverse pregnancy outcomes in IOM+AW+EW group was higher than that in IOM+AW group〔aOR=1.23, 95%CI (1.07, 1.41) , P<0.05〕. There was no difference in the risk of overall adverse pregnancy outcomes between IOM+IW+AW group and IOM+AW group〔aOR=1.02, 95%CI (0.89, 1.16) , P<0.05〕. The risk of LGA, macrosomia, cesarean section, or the overall adverse pregnancy outcomes was higher in IOM+EW group than that in IOM+AW group either in the first or second trimesters (P<0.05) .

The adoption of the SRWGPP will allow more pregnant women to meet the appropriate range for GWG, and their pregnancy outcomes will be better than those using the IOM standard. Therefore, the SRWGPP is more applicable to Chinese pregnant women for pregnancy weight management. Especially, it is critical to avoid excessive GWG in the first and second trimesters.

In rural areas, the self-management levels of pregnant women not only remain generally low but also vary significantly among individuals, thereby necessitating a detailed investigation into their behavioral patterns to facilitate their classification into distinct groups.

This analysis explores the types and characteristics of self-management among pregnant women in rural areas to provide references for devising targeted management strategies.

From January to August 2023, a convenience sampling method was employed to select pregnant women from Suihua City and Daqing City in Heilongjiang Province, and Changchun City in Jilin Province. Surveys were conducted using a general data questionnaire, a self-management scale for pregnant women, a general self-efficacy scale, an internal motivation scale, and a prenatal care knowledge scale. Cluster analysis was performed using SPSS 25.0 to classify the subjects into different types based on their self-management traits and compare their general characteristics.

A total of 481 questionnaires were distributed, and 470 valid questionnaires were retrieved, with a valid questionnaire recovery rate of 97.7%. It was found that the total score for self-management behaviors among the surveyed rural pregnant women stood at (70.2±16.4). Four distinct types were identified through optimal clustering: typeⅠ, characterized by low awareness non-participants (25.3%, n=119) ; typeⅡ, those who engage through guided cooperation (29.4%, n=138) ; typeⅢ, those under supervised directive (18.7%, n=88) ; and typeⅣ, proactive participants (26.6%, n=125). Noteworthy were the significant statistical differences that emerged across such variables as educational backgrounds, occupations, annual incomes, number of pregnancies, gestational weeks, whether pregnancies were planned, histories of chronic diseases, and complications during pregnancy among the four types (P<0.05). Furthermore, the comparison of scores across different self-management dimensions revealed significant statistical differences, with adherence to medical advice scoring the highest and fetal monitoring behavior scoring the lowest (P<0.05) .

The four types of self-management among rural pregnant women, identified based on differentiated characteristics in prenatal care knowledge, self-efficacy, and behavioral motivation, exhibit a high degree of heterogeneity. Type Ⅰ, characterized by low awareness non-participants, faces the dual challenge of inadequate knowledge reserves and lack of behavioral motivation. Type Ⅱ, those who engage through guided cooperation, is marked by low self-efficacy but good compliance with external guidance. TypeⅢ, those under supervised directive, lacks intrinsic motivation and relies heavily on external supervision for regulating self-management behaviors. Type Ⅳ, proactive participants, represents the most optimal group, possessing strong prenatal care knowledge, high self-efficacy, and effective self-management behaviors. Therefore, in clinical practice, targeted intervention strategies can be developed according to each type, in order to further enhance the self-management capabilities of rural pregnant women and optimize prenatal care services.

Pregnant women with gestational diabetes mellitus (GDM) are often comorbid with hypertensive disorders of pregnancy (HDP), which can severely impact pregnancy health and delivery outcomes. The relationship between gut microbiota and pregnancy health has received increasing attention, but its association with concurrent HDP in GDM remains to be investigated.

To explore the association between gut microbiota characteristics and concurrent HDP in GDM patients.

The 204 patients with GDM who underwent prenatal examination at the Hangzhou Women's Hospital from August 2019 to January 2020 were selected as the study subjects. Pregnant women diagnosed with GDM only were categorized as the GDM group (n=181), while those concurrently diagnosed with GDM and HDP were categorized as the GDM with concurrent HDP group (n=23). Clinical data and inflammation detection markers of the enrolled pregnant women were collected, and fecal samples of the same period were retained for gut microbiota 16S rDNA amplicon sequencing analysis. LEfSe analysis was used to compare microbiota composition between the two groups at the phylum, family and genus levels, and to identify distinct bacterial enrichments. Logistic regression analysis was performed to identify gut microbiota characteristics associated with concurrent HDP in GDM. Spearman's rank correlation analysis was performed to explore the association between gut microbiota and inflammatory markers.

No significant differences were found in overall gut microbiota composition and relative abundances of major phyla between the two groups (P>0.05). LEfSe analysis on family level showed that the Veillonellaceae family was enriched in the GDM with concurrent HDP group (P<0.05), while Mollicutes RF39 unclassified family and Lachnospiraceae were depleted (P<0.05). At the genus level, Dialister, Intestinibacter, Eubacterium and Parasutterella were enriched in the GDM with concurrent HDP group (P<0.05), whereas [Eubacterium] xylanophilum group, Ruminiclostridium 6, Mollicutes RF39 unclassified genus and Lachnospiraceae unclassified genus were enriched in the GDM group (P<0.05). Logistic regression analysis results showed increased abundances of Veillonellaceae (OR=1.06, 95%CI=1.01-1.11), Dialister (OR=1.26, 95%CI=1.10-1.45) and Intestinibacter (OR=2.07, 95%CI=1.12-3.84) were independent risk factors for concurrent HDP in GDM (P<0.05), while increased Lachnospiraceae was a protective factor (P<0.05). Spearman's rank correlation analysis results showed Veillonellaceae was positively correlated with the proportion of monocytes (r_s=0.149, P<0.05) ; Dialister was positively correlated with leukocyte count, eosinophil leukocyte, and eosinophil count (r_s=0.151, 0.163, 0.171, P<0.05) .

Increased abundances of Veillonellaceae, Dialister and Intestinibacter are independent risk factors for concurrent HDP in GDM pregnant women, while increased abundance of Lachnospiraceae unclassified genus is a protective factor. Veillonellaceae and Dialister are positively correlated with multiple inflammatory markers. Gut microbiota may be an important risk factor for concurrent HDP in GDM.

Severe preeclampsia can progress to eclampsia and threaten the life safety of mothers and infants, while intestinal flora composition changes may be involved in the occurrence and development of preeclampsia, but there is no clear evidence.

To investigate the relationship between intestinal flora differences and the incidence of preeclampsia in pregnant women in the early and middle stages of pregnancy.

A total of 455 pregnant women recruited from the Department of Obstetrics, the Second Affiliated Hospital of Guilin Medical University from January 2019 to January 2021 who met the requirements were selected. Pregnant women diagnosed with preeclampsia after 20 weeks of gestation were classified as preeclampsia group (n=32) , and pregnant women without preeclampsia were classified as non-preeclampsia group (n=423) . The clinical data of pregnant women were collected, and fecal samples were collected in the early (≤12⁺⁶ weeks) and middle stages of pregnancy (13~27⁺⁶ weeks) for bioinformatics analysis of intestinal flora, and the relationship between bioinformatics and the incidence of preeclampsia was analyzed.

There were statistically significant differences in age, Shannon index and Simpson index in early pregnancy between preeclampsia group and non-preeclampsia group (P<0.05) . Logistic regression analysis showed that age≥35 years old〔OR=1.894, 95%CI (1.432, 2.369) 〕, low Shannon index in early pregnancy〔OR=0.709, 95%CI (0.465, 0.921) 〕 and low Simpson index in early pregnancy〔OR=0.612, 95%CI (0.354, 0.893) 〕 were independent risk factors for preeclampsia (P<0.05) . ROC curve showed that the optimal cut-off value and AUC of Shannon index for predicting the incidence of preeclampsia in pregnant women in early pregnancy were 6.255 and 0.745〔95%CI (0.652, 0.838) 〕, with the corresponding sensitivity and specificity of 76.58% and 60.00%, respectively. The Simpson index in early pregnancy predicted the onset of preeclampsia with the best truncation value of 0.945 and AUC of 0.724〔95%CI (0.623, 0.826) 〕, and the corresponding sensitivity and specificity were 62.90% and 60.61%, respectively.

Decreased Shannon index and Simpson index of fecal intestinal flora in early pregnancy in early pregnancy are independent risk factors for the occurrence of preeclampsia in pregnant women, and have early predictive value for the onset of preeclampsia.

Perinatal depression, which affects both maternal and child health, is a significant public health issue that requires urgent and effective management. Since 2021, Shenzhen has been promoting city-wide perinatal depression screening and intervention using a mobile healthcare platform.

This study utilises routine data from the Shenzhen perinatal depression screening and intervention programme to assess the impact of the mobile platform on programme implementation and identify the most prominent implementation bottlenecks.

This retrospective study included pregnant and postpartum women who delivered in one of Shenzhen's 82 midwifery institutions across 10 districts between June 2020 and May 2022. Eligible participants were divided into two groups: the routine service group (delivered between June 2020 and May 2021) and the mobile platform group (delivered between June 2021 and May 2022) . Depression screening rates, screening positive rates, referral rates, and intervention rates during early pregnancy, mid-pregnancy, late pregnancy, and postpartum were observe.

A total of 311 719 pregnant and postpartum women were included in the study, of which 166 832 were in the routine service group and 144 887 in the mobile platform group. Screening rates, referral rates, and intervention rates in all stages of pregnancy and postpartum were significantly higher in the mobile platform group than in the routine service group (P<0.05) . Screening positive rates in early and mid-pregnancy were higher in the mobile platform group (P<0.05) , while rates in late pregnancy and postpartum were lower than in the routine service group (P<0.05) .

The mobile platform offers an effective tool for routine perinatal depression management. However, the low intervention rate among screening-positive women represents the most prominent implementation bottleneck. Future research should focus on optimising platform functionality, identifying the most effective combination of intervention measures, enhancing health education, and developing innovative, sustainable, and widely applicable implementation strategies.

Gestational diabetes mellitus (GDM) is characterized by increased insulin resistance. As serum complement C1q/tumor necrosis factor-related protein 3 (CTRP3) ratio is closely related to insulin resistance, which may be involved in the development of GDM. However, the association and predictive value of serum CTRP3 ratio with GDM in early pregnancy have been rarely reported.

To explore the association and predictive value of serum CTRP3 ratio with GDM in early pregnancy, providing new ideas for the prevention and treatment of GDM.

Women in early pregnancy who underwent regular obstetric examinations in Obstetric Clinic, Affiliated Hospital of Chengde Medical University, were prospectively and consecutively enrolled from June 2018 to March 2019. Demographics, fasting plasma glucose (FPG) , fasting insulin (FINS) , glycosylated hemoglobin (HbA_1c) , triglyceride (TG) , total cholesterol (TC) , high-density lipoprotein cholesterol (HDL-C) , low-density lipoprotein cholesterol (LDL-C) and serum CTRP3 ratio measured at 6-14 weeks of gestation were collected. The 75 g oral glucose tolerance test (OGTT) was performed to screen GDM at 24-28 weeks of gestation. The patients were divided into GDM group and normal glucose tolerance (NGT) group.

Finally, 368 of the 393 cases were enrolled for analysis, including 81 (22.0%) who were detected with GDM by the 75 g OGTT. Compared with those with normal glucose tolerance (NGT) diagnosed by the 75 g OGTT, GDM cases had much greater average age, pre-pregnancy BMI, FPG, FINS, HbA_1c, and TG (P<0.05) . Serum CTRP3 ratio in GDM group was lower than that in NGT group〔0.528 0 (0.461 3, 0.634 0) μg/L vs 0.604 8 (0.510 8, 0.666 0) μg/L, P=0.001〕. Multivariate Logistic regression analysis showed that serum CTRP3 ratio was an independently associated with GDM〔aOR=0.101, 95%CI (0.010, 0.997) , P≤0.05〕. The AUC of serum CTRP3 ratio in predicting GDM was 0.622〔95%CI (0.571, 0.672) 〕with 49.38% sensitivity, and 72.13% specificity when≤0.524 2 μg/L was chosen as the optimal cutoff value. The AUC of a combined prediction model (serum CTRP3 ratio in combination with age, pre-pregnancy BMI, FPG and HbA_1c) in predicting GDM was 0.841〔95%CI (0.799, 0.877) 〕, with 69.14% sensitivity and 89.20% specificity when 0.315 0 was chosen as the optimal cutoff value. The AUC of the combined prediction model was greater than that of serum CTRP3 ratio (Z=5.634, P<0.001) .

Increased serum CTRP3 ratio may be associated with lowered risk of GDM, so it could be used as an independent predictor for GDM in early pregnancy. Furthermore, its combined use with maternal demographic and metabolic indicators may produce a better predictive value for GDM in early pregnancy.

Macrosomia is not only harmful to the pregnant women and newborns, but also to the long-term metabolic health of the offspring. Maternal body mass is closely associated with pregnancy outcomes, overweight and obese pregnant women are often associated with dyslipidemia, while elevated blood lipid levels during pregnancy can affect the intrauterine environment and neonatal birth weight has not been investigated.

To analyze the association between blood lipid levels and macrosomia in pregnant women with different pre-pregnancy (BMI) .

A total of 5 287 singleton pregnant women who were registered at department of obstetrics of Beijing Obstetrics and Gynecology Hospital, Capital Medical University until delivery from January 2018 to June 2019 and met the inclusion and exclusion criteria were included in the single-center retrospective study, and divided into low-body-mass pregnant women with a non-macrosomia group (group A, n=731) and with a macrosomia group (group B, n=27) , normal-body-mass pregnant women with a non-macrosomia group (group C, n=3 539) and with a macrosomia group (group D, n=243) , overweight and obese pregnant women with a non-macrosomia group (group E, n=675) and with a macrosomia group (group F, n=72) according to maternal pre-pregnancy BMI and neonatal birth weight. Relevant clinical and laboratory data of pregnant women were collected for statistical analysis. Binary Logistic regression analysis was used to explore the association between blood lipid levels and macrosomia in pregnant women with different pre-pregnancy BMI.

The level of high-density lipoprotein cholesterol (HDL-C) in the third trimester of pregnancy in group B was lower than group A (P<0.05) . The levels of total cholesterol (TC) in the first trimester and triglyceride (TG) in the third trimester in group D were higher than group C (P<0.05) , while the levels of HDL-C in the second and third trimesters were lower than group C (P<0.05) . The TG levels in the first, second and third trimesters of pregnancy in group F were higher than group E (P<0.05) , while HDL-C levels in the second and third trimesters were lower than group E (P<0.05) . Binary Logistic regression analysis showed that HDL-C level in the third trimester〔OR=0.256, 95%CI (0.075, 0.871) 〕 was the influencing factor of macrosomia in low body mass pre-pregnancy women (P<0.05) . HDL-C levels in the second and third trimesters〔OR=0.661, 95%CI (0.450, 0.971) ; OR=0.406, 95%CI (0.271, 0.610) 〕 were the influencing factors of macrosomia in normal body mass pre-pregnancy women (P<0.05) . TG levels in the first, second and third trimesters〔OR=1.546, 95%CI (1.070, 2.234) ; OR=1.399, 95%CI (1.019, 1.758) ; OR=1.289, 95%CI (1.072, 1.550) 〕 were the influencing factors of macrosomia in overweight and obese pre-pregnancy women (P<0.05) .

For pre-pregnancy women with low and normal body mass, low HDL-C level during pregnancy is associated with an increased risk for macrosomia, while for overweight and obese pre-pregnancy women, high TG level during pregnancy is associated with an increased risk of macrosomia. For pregnant women with large fetuses or high risk of macrosomia during maternal examination, it is necessary to emphasize the detection and control of blood lipid levels.

Gestational diabetes mellitus (GDM) is one of the common pregnancy complications, which not only increases the maternal risk of short-term and long-term complications such as maternal preeclampsia and type 2 diabetes, but also the incidence rates of fetal malformation, macrosomia, etc. GDM has become a public health and social issue which can not be ignored.

To investigate the prevalence and epidemiological characteristics of GDM in Hebei Province.

Using a cross-sectional study method, the relevant data of inpatient deliveries from maternal monitoring information system involving 22 monitoring hospitals provided by Hebei Center for Maternal and Child Health were collected, including maternal delivery hospital, maternal age, marital status, education level, number of pregnancies, deliveries and prenatal examinations, season of delivery, complications during this pregnancy, mode of delivery, gender and body mass of newborn, and occupancy at NICU.

A total of 366 212 pregnant women were enrolled in this study, 25 995 of whom were diagnosed with GDM, with the incidence rate of 7.1%. The prevalence of maternal GDM showed an upward trend year after year from 2014 to 2021 (χ²_trend=6 921.4, P<0.001). The incidence rate of GDM in advanced maternal aged (χ²_trend=779.0, P<0.001) and urban maternity (χ²_trend=5 057.1, P<0.001), showing an upward trend year after year. And there were statistical significant differences in the prevalence of GDM among different regions of Hebei Province (χ²=16 919.785, P<0.001). The prevalence of maternal GDM in urban〔10.6% (19 200/180 369) 〕was higher than rural〔3.7% (6 795/185 843) 〕 from 2014 to 2021 in Hebei Province (χ²=6 872.800, P<0.001). There were significant differences in prevalence of maternal GDM among primary〔0.7% (34/4 731) 〕, secondary〔3.7% (6 733/180 923) 〕, and tertiary hospitals〔10.6% (19 228/180 558) 〕from 2014 to 2021 in Hebei Province (χ²=6 872.800, P<0.001). There were statistically significant differences in the prevalence of maternal GDM among women of different maternal age, educational level, number of pregnancies, deliveries and prenatal examinations (P<0.05); The prevalence of GDM in women aged 18-<35, 35-<40, and ≥40 years was higher than women aged <18 years, and the prevalence of GDM in women aged 35-<40, and ≥40 years was higher than women aged 18-<35 years; The prevalence of GDM of women with university or higher education level was higher than women with high school, junior high school, primary school and illiteracy; The prevalence of GDM of women with multiple pregnancies was higher than women with 1 pregnancy; The prevalence of GDM of multipara was higher than unipara; The prevalence of GDM of women ≥8 prenatal examinations was higher than women of <8 prenatal examinations. There were statistically significant differences in the prevalence of maternal GDM among women with deliver season of spring (March to May) 〔7.27% (6 583/90 546) 〕, summer (June to August) 〔6.95% (6 360/91 521) 〕, autumn (September to November) 〔7.08% (6 632/93 729) 〕 and winter (December to February) 〔7.10% (6 420/90 416) 〕 from 2014 to 2021 in Hebei Province (χ²=9.350, P<0.05). The differences in maternal GDM were statistically significant when comparing the combination of gestational hypertension, anemia and uterine atony, delivery modes, and deliver of macrosomia (P<0.05) .

The prevalence of GDM in Hebei Province was 7.1% from 2014 to 2021, showing an upward trend from 2014-2021. And the prevalence of GDM is increased in women with advanced age, living in urban, with high education level, multiple pregnancies, and multipara.