Purpose: Depression is a growing public health concern around the world. For adolescents, depression not only impedes healthy development, but is negatively associated with academic performance. The purpose of this paper is to examine the prevalence of adolescent depressive symptoms in a sample of rural primary and junior high school students. Additionally, we examine various factors to identify subgroups within the sample that may be more vulnerable to depression. Finally, we explore the extent to which depression correlates with academic performance and conduct a series of heterogeneity analyses.

Patients and Methods: We utilize cross-sectional data derived from 30 schools in underdeveloped regions of rural China encompassing primary and junior high school students (n = 1,609).

Results: We find a high prevalence of depression, with 23% and 9% of students experiencing general depression (depression score ≥ 14) and severe depression (depression score ≥ 21), respectively. Female gender, elevated stress and anxiety levels, boarding at school, exposure to bullying, and having depressed caregiver(s) are positively correlated with depressive symptoms, while high social support exhibits a negative association. Importantly, our analyses consistently show a significantly negative link between depression and academic performance, which is measured using standardized math tests. For instance, transitioning from a non-depressed state to a state of general depression (depression score ≥ 14) is linked to a decline of 0.348– 0.406 standard deviations in math scores (p < 0.01). Heterogeneity analyses reveal that this adverse relationship is more pronounced for male students, boarding students, those with lower social support, individuals with more educated mothers, and those with lower family assets.

Conclusion: Our findings underscore the high prevalence of depression in rural schools and the detrimental impact on academic performance. We advocate for the implementation of policies aimed at reducing student depression, particularly within vulnerable populations and subgroups.

Policymakers in China have attempted to improve the quality of rural education by investing in teacher salaries through initiatives like the Rural Teachers Support Plan (RTSP). This study estimates the effects of teacher salary increase on students' educational outcomes in rural China by utilizing the exogenous variations of rural teacher salaries induced by the RTSP. It employs an intensity-based difference-in-differences strategy and panel data from 2010 to 2018 with 3,351 rural children. The findings reveal that an increase in teacher salaries had a significant positive impact on students' examination results. Moreover, the results of mechanism analysis indicate that salary increases could have both quality and quantity effects on students' outcomes by increasing the proportion of highly educated teachers and reducing the student–teacher ratio. Our findings contribute to the discussion on the importance of teacher salary incentives in education production functions and provide insights for other countries undertaking rural education reforms.

Rural girls in China stay in school longer than boys and outperform them in many subjects. This gender gap suggests analogous disparities in early childhood development, a key factor in later educational outcomes. This study examines gender disparities in social-emotional development among 1,301 children aged 18–30 months in rural China. Results indicate that male children trail their female counterparts by 0.18 SD on average on the scale of standardized ASQ:SE score. A large share of the difference is driven by the bottom 10 % of children, where the magnitude of the gender gap (0.34 SD) is 1.9 times larger than at the median (0.19 SD). Demographic characteristics are uncorrelated with the gender gap in heterogeneity analysis, suggesting that the mechanisms underlying observed gender disparities are similar across rural Chinese households.

To examine the association between electronic media exposure and parental language input, Language Environment Analysis technology was used to collect data on electronic media exposure and parental language input in 158 peri-urban and rural households with children aged 18–24 months in southwestern China. The sounds children made and the sounds they heard were quantified. Multiple linear regression and quantile linear regression were used to determine the relationship between electronic media and the outcomes of interest. The results showed that each hour of electronic media exposure was associated with reduced conversational turn count (p < .05) and child vocalization count (p < .05). A large share of the reduction was driven by the higher quantile of children. Reductions associated with electronic exposure were also observed in number of segments and conversational turns. These results may help explain the association between child electronic media exposure and language delay in an under-studied and at-risk population.

Background: To explore the associations between anxiety and depression symptoms and academic burnout among children and adolescents in China, and to examine the role of resilience and self-efficacy in addressing academic burnout.

Methods: A total of 2,070 students in grades 4–8 were recruited from two primary and three middle schools in Shanghai, completed the Elementary School Student Burnout Scale (ESSBS), the Multidimensional Anxiety Scale for Children-Chinese (MASC-C), the Center for Epidemiological Studies Depression Scale (CES-D), the Connor-Davidson Resilience Scale (CD-RISC), and the General Self-Efficacy Scale (GSES), with 95.04% effective response rate. Multivariable regression analyses examining the associations between anxiety / depression symptoms and academic burnout (as well as the associations between resilience / self-efficacy and academic burnout) were performed using STATA 16.0 and SmartPLS 3.0.

Results: Anxiety symptoms (β = 0.124, p < 0.01) and depression symptoms (β = 0.477, p < 0.01) were positively correlated with academic burnout. Resilience partially mediated the association between depression symptoms and academic burnout (β = 0.059, p < 0.01), with a mediation rate of 12.37%. Self-efficacy partially mediated the associations between anxiety symptoms and academic burnout (β = 0.022, p < 0.01) and between depression symptoms and academic burnout (β = 0.017, p < 0.01), with mediation rates of 17.74% and 3.56%, respectively. Resilience and self-efficacy together (β = 0.041, p < 0.01) formed a mediating chain between depression symptoms and academic burnout, with a mediation rate of 8.6%.

Conclusions: Anxiety and depression symptoms were positively associated with academic burnout. Resilience and self-efficacy were found to mediate the associations partially.

To better understand the impacts of parenting interventions (e.g., parental training of psychosocial stimulating activities) on child developmental outcomes and design effective policies to benefit young children, it is essential to identify the mechanisms through which the interventions work. To this end, this paper presents the results of two randomized controlled trials that offered home visitation, parenting trainings to 435 households (with 527 households as the control group) in 174 villages across three provinces in China. The findings from the randomized controlled trials showed that the interventions significantly improved child cognitive development and had a positive effect on the primary caregivers’ parenting practices and their parenting beliefs. The analysis suggests three possible mechanisms through which the parenting interventions affected child cognitive development: changing the parenting beliefs of the primary caregivers, shifting the parenting practices of the primary caregivers, and improving the primary caregivers’ parenting beliefs, thus fostering better parenting practices.

Despite the proliferation of education technologies (EdTech) in education, past reviews that examine their effectiveness in the context of low- and middle-income countries are few and rarely seek to include studies published in languages other than English. This systematic review investigates the effectiveness of educational technology on primary and secondary student learning outcomes in China via a systematic search of both English- and Chinese-language databases. Eighteen (18) unique studies in 21 manuscripts on the effectiveness of EdTech innovations in China met the eligibility criteria. The majority of these evaluate computer aided self-led learning software packages designed to improve student learning (computer assisted learning, CAL), while the rest evaluate the use of education technology to improve classroom instruction (ICI) and remote instruction (RI). The pooled effect size of all included studies indicates a small, positive effect on student learning (0.13 SD, 95% CI [0.10, 0.17]). CAL used a supplement to existing educational inputs – which made up the large majority of positive effect sizes – and RI programs consistently showed positive and significant effects on learning. Our findings indicate no significant differences or impacts on the overall effect based on moderating variables such as the type of implementation approach, contextual setting, or school subject area. Taken together, while there is evidence of the positive impacts of two kinds of EdTech (supplemental computer assisted learning and remote instruction) in China, more evidence is needed to determine the effectiveness of other approaches.