COVID-19-related lockdown measures have been affecting children’s weight status and weight-related behaviors, which are often associated with an increase in childhood obesity. However, large-scale longitudinal studies are lacking. Our study aimed to analyze changes in obesity and weight-related behaviors in Chinese children before and during the COVID-19 pandemic and provide references for addressing the high prevalence of childhood obesity. A prospective multi-center longitudinal survey was conducted among Chinese children (n = 5963), collecting data on weight status, COVID-19-related measures, and lifestyle behaviors. Changes were assessed using t-tests and χ2 tests for paired samples, or the Wilcoxon signed-rank test, according to the type and distribution of data. The Generalized Estimating Equations model was used to explore influential factors of obesity. The prevalence of overweight and obesity increased from 9.2% and 8.6% before the pandemic to 10.5% and 10.6% during the pandemic (p < 0.001), respectively. Daily physical activity, sleep duration, and sugar-sweetened beverage consumption decreased while screen time increased. The results of the generalized estimating equations showed that ethnic minority, older age, less daily physical activity, reduced sleep duration, and longer screen time were positively associated with obesity. There is an intensifying trend of obesity in children in the context of the COVID-19 pandemic, to which altered weight-related behaviors might have contributed largely. Maintaining a healthy lifestyle, especially in social crises, should be highlighted to ease the burden of childhood obesity.

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Introduction:This study used bibliometrics to analyze the current trends, hotspots, and frontiers in Chinese midwifery research.Methods: A search was conducted among midwifery literature published from 2010 to 2020, and bibliometric and information visualization analyses were conducted using the acquired data. A bibliometric analysis was performed on the quantity and trends in midwifery research, distribution of and cooperation among research institutions, coauthorship, distribution of disciplines, high-frequency keywords, and burst terms. Cooperation mode, research hotspots, and research frontiers were also analyzed. Results:The findings indicate that the number of midwifery research studies have been steadily increasing in China over the last decade. During the study period, Guangdong Province, which received the most research funding, produced the highest number of published articles, followed by Beijing and Shanghai. Research institutions related to midwifery are mainly universities with a strong focus on scientific research. Contemporary topics include core competencies and birth outcomes; research frontiers, including education; competence; and evidence-based practice.Discussion: China should accelerate in-depth midwifery research; increase opportunities for regional, institutional, and team cooperation; promote the sublimation of midwifery work from practical experience to disciplinary theory; and provide higher-quality professional services for maternal and child health. Bibliometric analyses may be used to examine midwifery research in other countries too.

IntroductionAlthough intrapartum caesarean delivery can resolve dystocia, it would still lead to several adverse outcomes for mothers and children. The obstetric care professionals need effective tools that can help them to identify the possibility and risk factors of intrapartum caesarean delivery, and further implement interventions to avoid unnecessary caesarean birth. This study aims to develop a prediction model for intrapartum caesarean delivery with real-life data based on the artificial neural networks approach.Methods and analysisThis study is a prospective nested case–control design. Pregnant women who plan to deliver vaginally will be recruited in a tertiary hospital in Southwest China from March 2022 to March 2024. The clinical data of prelabour, intrapartum period and psychosocial information will be collected. The case group will be the women who finally have a baby with intrapartum caesarean deliveries, and the control group will be those who deliver a baby vaginally. An artificial neural networks approach with the backpropagation algorithm multilayer perceptron topology will be performed to construct the prediction model.Ethics and disseminationEthical approval for data collection was granted by the Ethics Committee of West China Second University Hospital, Sichuan University, and the ethical number is 2021 (204). Written informed consent will be obtained from all participants and they can withdraw from the study at any time. The results of this study will be published in peer-review journal.

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The mental health problems of adolescents appear to have increased worldwide in recent years. The aim of this study was to assess anxiety, depression, and their associations with resilience among Chinese adolescents. 2452 students were recruited from 3 middle schools through cluster randomization in Chengdu, Sichuan province, China. Resilience, family function, depression and anxiety were measured by resilience subscale of Chinese Positive Youth Development Scale (CPYDS), Chinese Family Assessment Instrument (C-FAI), the Center for Epidemiological Studies Depression Scale for Children (CES-DC), and the Screen for Child Anxiety Related Emotional Disorders (SCARED), respectively. Ordinal logistic regression and binary logistic regression were used to explore the independent effect of different variables on anxiety and depression. The prevalence of anxiety and depressive symptoms among adolescents was 30.3% and 40.5% respectively in our study. Senior and male students experienced lower levels of anxiety (OR=0.900, p<0.001; OR=0.479, p<0.001). Resilience was negatively associated with both anxiety and depression (OR=0.700, p<0.001; OR=0.796, p<0.001). Poor interaction with caregivers was a risk factor for both anxiety (OR=0.943, p=0.037) and depression (OR=0.899, p<0.001). Family dysfunction and internet use were protective factors for both anxiety (OR=1.418, p<0.001; OR = 1.001, p<0.001) and depression (OR=1.418, p<0.001; OR = 1.001, p<0.001). The existence of anxiety was found to be positively correlated with depressive symptoms in our sample. More attention should be paid to the mental health of adolescents. Measures that improve resilience and family function might be considered by stakeholders. A healthy lifestyle should also be stressed among adolescents.