(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.

With a surge of conflicts between healthcare workers and patients in recent years, the therapeutic relationship (TR) in China is presently in tension. Meanwhile, consequent issues have begun to emerge, such as the distrust between healthcare workers and patients and the decline in the quality of medical services. Although many empirical studies about the TR have been conducted in China, previous studies on TR and its influencing factors have been contradictory. Therefore, this study conducted a systematic review and meta-analysis to assess the current situation of the TR and to identify factors associated with the TR in Chinese hospitals from three perspectives (healthcare worker, patient, and therapeutic interaction). Two reviewers independently searched the literature, selected researches, and extracted data through comprehensively searching of three international electronic databases and three Chinese electronic databases to identify all relevant observational studies on influencing factors for TR in China published in English and Chinese from January 2000 to January 2020. Among the 3290 records initially identified, 11 studies met the selection criteria. A total of 96,906 individuals were included in the review. The results showed that 55.73% of healthcare workers consider the TR to be tense, and 33.7% of patients hold this view. The meta-analysis indicated that healthcare workers who were male, older, less educated, working in a non-surgical department, and had a senior title were more likely to be pessimistic about the TR. Patients who were rural residents, highly educated, and had no medical insurance were more likely to be pessimistic about the TR. Furthermore, the mutual trust could improve rapport between healthcare workers and patients. The 25 other related factors related to the TR were analyzed and described using a narrative approach. The findings might deserve consideration in the design of relative policies to promote harmony between doctors and patients.

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.

Background: The Internet has become a crucial tool for learning, socializing, and entertainment for contemporary minors, and plays an increasingly prominent role in their growth. However, it has been observed that students are often unable to make good judgments about online health information and barely use the Internet to help tackle their health problems. The purpose of this study was to determine the relationship between electronic health literacy (EHL) and general self-efficacy among Chinese primary and middle school students. Methods: A total of 1200 questionnaires were sent out, and 1085 effective questionnaires were received with effective recovery of 90.42%. First, we conducted a confirmatory factor analysis. Second, structural equation modeling (SEM) was used to explore the mechanisms underlying the relationship between EHL and general self-efficacy. Results: The results revealed a significant positive correlation between EHL and self-efficacy. The results of the CFA showed a good fit for the data. The results of SEM showed that the relationship between self-efficacy and health information applications was partially mediated by health information acquisition (β = 0.47, [Bias-Corrected 95%CI: 0.39, 0.59], [Percentile 95%CI: 0.37, 0.58]). Household factors moderated this mediating relationship (β = 0.4, [Bias-Corrected 95%CI: 0.19, 0.61], [Percentile 95%CI: 0.19, 0.61]). Conclusions: Information acquisition was found to play a mediating role between self-efficacy and information application. Household factors moderated the indirect relationship between self-efficacy and information applications through information acquisition.