(1) Background: Depression and anxiety are the most common and severe mental disorders. This research estimated the prevalence and disease burden of depression and anxiety from 1990 to 2044. (2) Methods: Data on disease burden, population, and risk factors were identified and gathered from the Global Health Data Exchange database. The time trends, sex and age differences, key factors, and regional variations in and predictions of depression and anxiety were analyzed based on the age-standardized incidence rate, prevalence rate, and DALY rate. (3) Results: Our findings revealed that the burden of depression and anxiety was heavy. Specifically, the age-standardized DALY rate of depression started to decrease compared with trends related to anxiety disorders. Meanwhile, females bear a heavier burden for both depression and anxiety. Seniors and the middle-aged population carry the highest burden regarding mental disorders. Both high- and low-socio-demographic-index countries were found to be high-risk regions for depressive disorders. The disease burden attributed to childhood sexual abuse, bullying victimization, and intimate partner violence has increased since 1990. Finally, projections regarding depression and anxiety revealed geographic and age variations. (4) Conclusions: Public health researchers, officers, and organizations should take effective age-, sex-, and location-oriented measures.

Rural medical services play an important role in protecting and promoting the health of the rural population; however, patient satisfaction with rural medical services has been understudied in China. A better understanding of the actual situation and the determinants involved will provide evidence for health-related policy makers and hospital managers to further improve rural medical services. A total of 9811 patients (5208 outpatients and 4603 inpatients) were included in this study from a cross-sectional survey conducted in rural hospitals from 11 western provinces in China. Three in five patients (including outpatients and inpatients) were satisfied with rural medical services. The mean overall satisfaction scores were 3.61 ± 0.857 and 3.80 ± 0.829 (out of a maximum of 5) for rural outpatients and inpatients, respectively. The most satisfying domains for outpatients and inpatients were medical service attitude and illness explanation, and waiting time and medical expenses were the domains that outpatients and inpatients were least satisfied with. Satisfaction with medical technology (OR: 1.73; 95% CI: 1.57–1.92) and satisfaction with trust in physicians (OR: 2.05; 95% CI: 1.85–2.28) were identified as the strongest predictors of outpatients’ and inpatients’ overall satisfaction with rural medical services, respectively. This study might shed light on rural medical services management in China.

To analyse the prevalence of severe and critical COVID-19 cases and its determinants, a systematic review and meta-analysis were conducted using Review Manager. Four English and two Chinese databases were used to identify and explore the relationships between the severity of COVID-19 and its determinants, with no restrictions on publication date. The odds ratio and 95% CI were combined to assess the influencing level of all factors. Twenty-three articles containing a total of 15,828 cases of COVID-19 were included in this systematic review. The prevalence of severe and critical COVID-19 cases was 17.84% and 4.9%, respectively. A total of 148 factors were identified, which included behavioural, symptom, comorbidity, laboratory, radiographic, exposure, and other factors. Among them, 35 factors could be included in the meta-analysis. Specifically, for example, the male (OR 1.55, 95% CI 1.42–1.69) and elderly (OR 1.06, 95% CI 1.03–1.10) populations tended to experience severe and critical illness. Patients with cough, dyspnea, fatigue, fever, and gastrointestinal symptoms could have severe and critical diseases. Regarding laboratory results, albumin, aspartate aminotransferase, creatinine, D-dimer, fibrinogen, neutrophils, procalcitonin, platelets, and respiratory rate were potential factors that could be used to predict the severity of COVID.

Objective: The purpose of this study is to explore the relationship between parents’ phubbing behavior and children’s online gaming time. More importantly, we investigated the mediating role of electronic health literacy in this association. Methods: A total of 1200 questionnaires were sent out and 1130 effective questionnaires were returned, an effective recovery of 94.17%. As some students did not answer part of the EHL survey, eventually only 867 students were included in this study based on the selected independent variables and the degree of questionnaire completion. Both tools used for measuring parental phubbing and electronic health literacy passed confirmatory factor analyses. To analyze the mediating effect of electronic health literacy on parental phubbing behavior and online gaming time, 5000 datapoints were sampled using the Bootstrapping method. Results: The results indicated that parents’ phubbing was positively related to their children’s online gaming time, which was mediated by electronic health literacy, parental phubbing is positively and significantly correlated with electronic health literacy, and electronic health literacy is negatively and significantly correlated with online gaming time among adolescents. Conclusions: Electronic health literacy partially mediates the relationship between parental phubbing behavior and adolescent online gaming time, and Chinese students’ electronic health literacy is a two-dimensional structure consisting of health information acquisition and application. This study is the first empirical study to explore the relationship between parental phubbing behavior and the amount of time adolescents spend playing games online.

National basic public health services (BPHSs) are important for promoting the health of rural populations. A better understanding of rural BPHSs from the viewpoint of residents utilizing the services can help health-related departments and primary health care (PHC) centers further improve rural BPHSs. By conducting a large-scale cross-sectional survey in 10 western provinces of China, the study depicts rural resident experiences with rural BPHSs. Of the 9019 participants, 59.33% and 66.48% did not receive services related to health examinations or health education in the six months prior to the survey, respectively. A total of 56.90% were satisfied with the rural BPHSs, and the mean overall satisfaction score was 3.61 ± 0.908 (out of a maximum of 5). The most satisfying domain for rural residents with BPHSs was the attitude of PHC workers, whereas rural residents with chronic diseases were the least satisfied with the health management. Satisfaction with the attitude of PHC workers was identified as the strongest determinant of rural residents’ overall satisfaction with BPHSs. This study could enlighten rural BPHSs management in China.

The United Nations (UN) Sustainable Development Goal − 3.2 aims to eliminate all preventable under-five mortality rate (U5MR). In China, government have made efforts to provide maternal health services and reduce U5MR. Hence, we aimed to explore maternal health service utilization in relation to U5MR in China and its provinces in 1990–2017. We obtained data from Global Burden of Disease 2017, China Health Statistics Yearbook, China Statistical Yearbook, and Human Development Report China Special Edition. The trend of U5MR in each province of China from 1990 to 2017 was analyzed using Joinpoint Regression model. We measured the inequities in maternal health services using HEAT Plus, a health inequity measurement tool developed by the UN. The generalized estimating equation model was used to explore the association between maternal health service utilization (including prenatal screening, hospital delivery and postpartum visits) and U5MR. First, in China, the U5MR per 1000 live births decreased from 50 in 1990 to 12 in 2017 and the average annual percentage change (AAPC) was − 5.2 (p < 0.05). Secondly, China had a high maternal health service utilization in 2017, with 96.5% for prenatal visits, 99.9% for hospital delivery, and 94% for postnatal visits. Inequity in maternal health services between provinces is declining, with hospital delivery rate showing the greatest decrease (SII, 14.01 to 1.87, 2010 to 2017). Third, an increase in the rate of hospital delivery rate can significantly reduce U5MR (OR 0.991, 95%CI 0.987 to 0.995). Postpartum visits rate with a one-year lag can reduce U5MR (OR 0.993, 95%CI 0.987 to 0.999). However, prenatal screening rate did not have a significant effect on U5MR. The decline in U5MR in China was associated with hospital delivery and postpartum visits. The design and implementation of maternal health services may provide references to other low-income and middle-income countries.