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In this study, we aimed to explore the factors associated with higher education students' learning outcomes in emergency remote teaching environments (ERTEs) during the COVID-19 pandemic at both the population and individual levels, given the limited understanding in previous research. 9418 students from 41 countries were selected for analysis from a survey-based dataset that was collected with the aim of understanding the self-perceived impacts of the first-wave COVID-19 pandemic on higher education students. We conducted structural equation modeling to explore associated factors and latent profile analysis to identify student profiles based on these factors. Utilizing the identified profiles, we developed a random forest-based classifier to identify the membership of students' profiles. The results showed that six environmental and individual factors—partially mediated by academic emotions—were significantly associated with learning outcomes. The positively associated factors, ranked by path coefficient, were satisfaction with synchronous course organization (SCO), computer skills (CS), satisfaction with asynchronous course organization (ACO), satisfaction with administration support (AS), and perceived teacher support (TS). The negatively associated factor was worry about life. Based on these factors, eight profiles were identified with varying learning outcomes and student characteristics. The classifier achieved a testing accuracy of 0.904. By integrating variable-centered and person-centered approaches, this study bridges the gap in understandings of general patterns and individual differences regarding key factors associated with higher education students' learning outcomes. The findings have implications for designing individualized interventions and support strategies to enhance student learning outcomes and mitigate educational disparities in ERTEs during crisis situations. [ABSTRACT FROM AUTHOR]

This study investigated whether negative stereotypes are responsible for the effect of ASD knowledge on social distance from individuals with ASD among college students. A sample of 869 neurotypical Chinese college students completed a cross-sectional survey to assess social distance, ASD knowledge, and negative stereotypes. Pearson correlation analysis yielded significant correlations between social distance, ASD knowledge, and negative stereotypes. Multiple mediation analysis showed that negative stereotypes mediated the link between social distance and ASD knowledge. Specifically, greater ASD knowledge predicted reduced social distance through decreased stereotyping related to dangerousness, personal responsibility for the disorder, and discontinuity, but also predicted greater social distance through increased stereotyping related to social inappropriateness. The findings deepen our understanding of the association between ASD knowledge and social distance by revealing the mediating role of negative stereotypes, and provide information that can help improve anti-stigma initiatives in college settings. [ABSTRACT FROM AUTHOR]

About 2.6 million third-trimester stillbirths occur annually worldwide, mostly in low- and middle-income countries. However, the causes of stillbirths are rarely investigated. We performed a retrospective, hospital-based study in Zhejiang Province, southern China, of the causes of third-trimester stillbirths. Causes of stillbirths were classified using the Relevant Condition at Death classification system. From January 1, 2013, to December 31, 2018, we enrolled 341 stillbirths (born to 338 women) from 111,275 perinatal fetuses (born to 107,142 women), as well as 293 control cases (born to 291 women). The total incidence of third-trimester stillbirths was 3.06/1000 (341/111,275). There were higher proportions of women with a high body mass index, twins, pregnancy-induced hypertension, assisted reproduction and other risk factors among the antepartum than the control cases. The antepartum stillbirth fetuses were of lower median birth weight and gestational age and had a smaller portion of translucent amniotic fluid than the control cases. The antepartum stillbirth fetuses had a higher frequency of abnormalities detected prenatally and of fetal growth restriction than the control cases. Of 341 cases (born to 338 mothers), the most common causes of stillbirth were fetal conditions [117 (34.3%) cases], umbilical cord [88 (25.8%)], maternal conditions [34 (10.0%)], placental conditions [31 (9.1%)], and intrapartum [28 (8.2%)]. Only eight (2.3%), three (0.9%), and two (0.6%) stillbirths were attributed to amniotic fluid, trauma, and uterus, respectively. In 30 (8.8%) cases, the cause of death was unclassified. In conclusion, targeted investigation can ascertain the causes of most cases of third-trimester stillbirths. [ABSTRACT FROM AUTHOR]

The aim of this study is to investigate the association between maternal gestational weight gain (GWG) and preterm birth according to pre-pregnancy body mass index (BMI) and maternal age. We did a cohort, hospital-based study in Quzhou, South China, from 1 Jan 2018 to 30 June 2019. We selected 4274 singleton live births in our analysis, 315 (7.4%) of which were preterm births. In the overall population, excess GWG was significantly associated with a decreased risk of preterm birth compared with adequate GWG (adjusted OR 0.81 [95% CI 0.72–0.91]), and the risk varied by increasing maternal age and pre-pregnancy BMI. Interestingly, underweight women who older than 35 years with excess GWG had significantly increased odds of preterm birth compared with adequate GWG in underweight women aged 20–29 years (2.26 [1.06–4.85]) and normal weight women older than 35 years (2.23 [1.13–4.39]). Additionally, low GWG was positively and significantly associated with preterm birth overall (1.92 [1.47–2.50]). Among normal weight women category, compared with adequate GWG women aged 20–29 years did, those older than 20 years with low GWG, had significantly higher odds of preterm birth, which increased with maternal age (1.80 [1.16–2.79] in 20–29 years, 2.19 [1.23–3.91] in 30–34 years, 3.30 [1.68–6.46] in ≫ 35 years). In conclusion, maternal GWG was significantly associated with the risk of preterm birth, but the risk varied by pre-pregnancy BMI and maternal age. [ABSTRACT FROM AUTHOR]