[Cardio-metabolic risk and adverse pregnancy outcomes in the first trimester: findings from the Shenzhen birth cohort study]

Objective: To investigate the relationship between cardio-metabolic abnormalities in the first trimester and adverse pregnancy outcomes (APO). Methods: This cohort study recruited singleton pregnancies in the first trimester (6-13+6 weeks of gestation) from Shenzhen Maternal and Child Health Care Hospital between January 1, 2021, and October 31, 2022. Cardiometabolic markers, including body mass index (BMI), blood pressure, fasting plasma glucose (FPG), high-density lipoprotein cholesterol (HDL-C), and triglycerides (TG), were recorded during the first trimester. Incidence of APO, including gestational hypertension, preeclampsia, gestational diabetes mellitus, preterm birth, fetal growth restriction, small for gestational age infant, and placental abruption, was documented. Cardiovascular metabolic abnormalities in the first trimester were defined as meeting one or more of the following criteria: elevated BMI (BMI≥24 kg/m²), elevated TG (TG≥1.7 mmol/L), decreased HDL-C (HDL-C<1.0 mmol/L), elevated blood pressure (systolic pressure≥130 mmHg (1 mmHg=0.133 kPa) and/or diastolic pressure≥85 mmHg), elevated FPG (FPG≥5.6 mmol/L). Enrolled women were categorized into abnormal cardio-metabolic and normal cardio-metabolic groups. Poisson regression was employed to analyze the association between cardio-metabolic abnormalities in the first trimester and APO. Results: The study included 14 197 pregnant women with an age of (32.0±4.1) years. There were 8 139 women in the normal cardio-metabolic group and 6 058 women in the abnormal cardio-metabolic group. Women with cardio-metabolic disorders in the first trimester had a younger gestational age and higher incidence rates of preterm birth, gestational hypertension, preeclampsia, and gestational diabetes mellitus (all P<0.05). In multivariable Poisson regression, elevated BMI (RR=1.22, 95%CI 1.15-1.29), elevated FPG (RR=1.59, 95%CI 1.38-1.82), elevated TG (RR=1.22, 95%CI 1.13-1.31), and elevated blood pressure (RR=1.50, 95%CI 1.39-1.63) were independent risk factors for APO, while decreased HDL-C (RR=0.93, 95%CI 0.70-1.23) was not. Elevated blood pressure (RR=5.57, 95%CI 4.58-6.78), elevated BMI (RR=1.71, 95%CI 1.40-2.09), and elevated TG (RR=1.38, 95%CI 1.10-1.74) had the greatest impact on the risk of developing preeclampsia. Elevated FPG (RR=1.70, 95%CI 1.45-1.99) had the greatest impact on the risk of gestational diabetes. Conclusions: Elevated blood pressure, BMI, TG and FPG in the first trimester are closely related to APO.

[Overview of design and construction of hypertensive disorders of a pregnancy-cohort in Shenzhen]

Hypertensive disorder of pregnancy (HDP) involves two major public health issues: mother-infant safety and prevention and controlling major chronic disease. HDP poses a serious threat to maternal and neonatal safety, and it is one of the leading causes of maternal and perinatal morbidity and mortality worldwide, as well as an important risk factor for long-term cardiovascular disease (CVD). In order to explore effective strategies to prevent and control the source of CVD and reduce its risk, we have established a cohort of HDPs in Shenzhen for the primordial prevention of CVD. The construction of the HDP cohort has already achieved preliminary progress till now. A total of 2 239 HDP women have been recruited in the HDP cohort. We have established a cohort data management platform and Biobank. The follow-up and assessment of postpartum cardiovascular metabolic risk in this cohort has also been launched. Our efforts will help explore the pathophysiological mechanism of HDP, especially the pathogenesis and precision phenotyping, prediction, and prevention of pre-eclampsia, which, therefore, may reduce the risk of adverse pregnancy outcomes, and provide a bridge to linking HDP and maternal-neonatal cardiovascular, metabolic risk to promote the cardiovascular health of mothers and their infants.

[Associations between pre-pregnancy body mass index and occurrence and clinical features of preeclampsia]

Objective: To investigate the associations between pre-pregnancy body mass index (BMI) and occurrence and clinical features in pregnant women complicated by preeclampsia (PE). Methods: We recruited 42 427 pregnant women who were diagnosed with intrauterine pregnancy at Shenzhen Maternity and Child Healthcare Hospital from July 2017 to December 2019, with a gestational age of 6~8⁺⁶ weeks, excluding those with basic diseases and incomplete medical records. Among them, 659 were diagnosed with PE. According to the pre-pregnancy BMI, the pregnant women were divided into underweight group (42 cases), normal body weight group (422 cases), overweight group (138 cases) and obesity group (57 cases). Maternal outcomes (the occurrence of preeclampsia, cesarean delivery rate) and neonatal outcomes (birth weight, Apgar score and neonatal ICU admission) were recorded. The maternal outcomes, gestational age of delivery, delivery mode, newborn birth weight, Apgar score and admission to neonatal ICU were compared among the pregnant women in each group. Logistic regression model was established to analyze the influence of different pre-pregnancy BMI on the occurrence and clinical features of PE. Results: The incidence of PE was 1.55% (659/42 427), and the incidence of PE was 0.61% (42/6 941), 1.44% (422/29 297), 2.62% (138/5 273) and 6.22% (57/916) in the underweight group, the normal weight group, the overweight group and the obesity group, respectively. After adjustment for age, parity, educational level, history of preeclampsia, and in vitro fertilization and embryo transfer (IVF-ET), compared with normal group, the adjusted OR for developing early-onset PE were 0.57 (95%CI: 0.29-1.02) for underweight, 1.03 (95%CI: 0.65-1.56) for overweight and 2.15 (95%CI: 1.03-4.02) for obesity groups. The OR for developing late-onset PE were 0.50 (95%CI: 0.33-0.72) for underweight, 1.57 (95%CI: 1.23-1.99) for overweight and 4.25 (95%CI: 3.00-5.91) for obesity group. The OR for PE without severe features were 0.54 (95%CI: 0.30-0.89), 1.40 (95%CI: 0.97-1.99) and 5.11 (95%CI: 3.22-7.84) for underweight, overweight and obesity groups, respectively. The OR for severe PE were 0.51 (95%CI: 0.33-0.75), 1.42 (95%CI: 1.10-1.83) and 2.97 (95%CI: 1.95-4.38) for underweight, overweight and obesity groups, respectively. The median neonate birth weight in women with PE were 2 420 g (1 602-2 845 g), 2 435 g (1 692-3 030 g), 2 540 g (1 922-3 132 g), and 2 950 g (2 050-3 360 g) for underweight, normal, overweight and obesity groups, respectively. The neonatal birth weight in obesity group was heavier than that in normal group (P<0.05). The incidence rates of large for gestational age (LGA) in PE women were 0 (0/42), 3.3% (14/422), 7.3% (10/138) and 17.5% (10/57) for underweight, normal, overweight and obesity groups, respectively. The incidence rate of LGA in obesity group was higher than that in normal group (P<0.05). Conclusions: Pre-pregnancy obesity is an independent risk factor for PE. Obesity related PE is more likely associated with late-onset PE and LGA. It is recommended to control weight before pregnancy, limit weight gain during pregnancy and control blood pressure to reduce the incidence of PE and ensure the safety of mother and child.

[Study on the correlation between depression and emotion regulation strategies in the elderly residents]

Objective: To explore the cross-sectional study of depressive and emotional regulation strategies of elderly residents in Yinchuan and their relationship. Methods: A total number of 1 043 elderly cases, including 505 from 5 nursing institutions and 538 from 5 communities in Yinchuan city were chosen, from March to May, 2016. Depression survey using the Geriatric Depression Scale (GDS), emotional adjustment strategies were conducted using the Gross Emotional Regulatory Questionnaire and the Rumination Scale. Results: The overall incidence rate of depression among the elderly residents appeared as 32.0%, with 35.5% in the communities and 28.3% in the nursing homes and the difference was statistically significant (χ(2)=6.187, P<0.05). There was no significant difference in the incidence of depression among the elderly and the aged in the community (χ(2)=0.066, P=0.798) by the trend analysis method. The score of GDS for the 1 043 elderly was (9.1±5.7) points. The scores on cognitive reappraisal in emotional adjustment strategies and on expression inhibition were (26.7±8.0) and (16.3±6.6) points respectively. The score of the rumination was (34.5±11.7) points. There were significant differences in cognitive reappraisal scores on different sex, hobbies and physical exercise (all Ps<0.05) among the elderly. There were significant differences in rumination scores among the elderly with different age, marital status, cultural level, interest (all Ps<0.05) and in the scores of expression inhibition among the elderly with different levels of education and income (all Ps<0.05). There appeared a negative correlation between the depression scores and cognitive reappraisal (r=-0.400, P<0.01) but a positive correlation between the scores of depression and rumination (r=0.652, P<0.01). Conclusion: The incidence of depression identified in the elderly residents appeared high and was associated with emotional adjustment strategies, in Yinchuan city.

Impact of climatic factors on genetic diversity of Stipa breviflora populations in Inner Mongolia

Genetic diversity of Stipa breviflora populations in the Inner Mongolian grasslands of China and its possible correlation with climatic factors was examined using geographic information systems and random amplified polymorphism DNA analysis. A total of 308 bands were produced with 28 arbitrary decamer oligonucleotide. Three major findings were demonstrated. First, the genetic diversity of S. breviflora was high but lower than that of Stipa grandis and Stipa krylovii. Second, genetic distances between the populations analyzed using the unweighted pair group method and the Mantel test had a highly positive correlation with geographical distances, indicating that spatial separation of this species in the studied area produced genetic shift in the population. Finally, both canonical correspondence and Pearson's analyses revealed strong correlations between genetic differentiation and temperature in the area. We therefore conclude that temperature variations play an important role in genetic differentiations among the investigated S. breviflora populations.