Association of Child Mental Health with Child and Family Characteristics in Rural China: A Cross-Sectional Analysis

Predictors of Adolescent Internalizing and Externalizing Mental Health Symptoms: A School-Based Study in Southern India

INTRODUCTION

Mental illnesses are one of the major contributors to the overall burden of disease among the young. We investigated the predictors of emotional and behavioral problems among in-school adolescents in the Indian context.

METHODS

Using stratified sampling, 1441 adolescents were recruited to participate in the study in Udupi taluk. The study instruments included a socio-demographic pro forma and the adolescent self-reporting version of the Strengths and Difficulties Questionnaire (SDQ) to assess the emotional and behavioral problems among them. We explored the predictors of total difficulties, as well as externalizing and internalizing problems and gender differences. SPSS version 25 was used to analyze the data. Descriptive statistics, a Chi-square test for associations, an independent t-test to explore the gender differences, correlation analysis, and backward stepwise logistic regression for the predictors were used.

RESULTS

The mean age of the participants was 15.31 ± 0.76. An almost equal percentage of male (49.6%) and female (50.4%) participants provided data. Abnormal scores were highest under conduct problems (8.5%), and the total difficulties reached 5.1%. The male participants had higher levels of conduct, hyperactivity, peer relationship, and externalizing problems the while the female participants experienced higher levels of emotional and internalizing problems. It was observed that there was a significant positive relationship between age and emotional problems, conduct problems, hyperactivity, peer problems, and total SDQ score. An older age predicted an abnormal total difficulties score and externalizing and internalizing behaviors, while the type of school predicted the total difficulties and internalizing behaviors.

CONCLUSION

The age of the adolescent, their gender, and the type of school they attended emerged as predictors of the emotional and behavioral problems among them.

Physical education and student well-being: Promoting health and fitness in schools

The school students are facing mental health issues, and their performance is not improving in China. Health education policies are not implemented at the school level in China. However, scholars focus on college students' health education, but the school student is neglected. The research's primary objective is to answer the question: What is the impact of health education on the psychological well-being of school students? A sample of 549 10th grade students is collected from China's public and private sector institutes. The partial least square-structural equation modelling (PLS-SEM) is employed to analyze the data. The outcomes highlighted that the impact of health education is significant on the psychological well-being of school students in China. Furthermore, the study introduced that the moderating role of sustainable health exercise and sports participation is critical as it positively influences the relationship between health education and psychological wellbeing. This research improves literature as the novel contribution are highlighted in theory. Furthermore, the government education policies must be reframed under the light of this research' findings to improve students' health.

The Association Between Screen Time and Outdoor Time on Adolescent Mental Health and Academic Performance: Evidence from Rural China

Purpose

We examine how adolescent free time allocation-namely, screen time and outdoor time-is associated with mental health and academic performance in rural China.

Methods

This paper used a large random sample of rural junior high school students in Ningxia (n = 20,375; _age=13.22), with data collected from self-reported demographic questionnaires (to assess free time allocation), the Strengths and Difficulties Questionnaire (to assess mental health), and a standardized math test (to measure academic performance). We utilized a multivariate OLS regression model to examine associations between free time allocation and adolescent outcomes, controlling for individual and family characteristics.

Results

Our sample's screen time and outdoor time both averaged around 1 hour. About 10% of the sample adolescents reported behavioral difficulties, while a similar percentage (11%) reported abnormal prosocial behaviors. Adolescents with higher levels of screen time (>2 hours) were 3 percentage points more likely to have higher levels of behavioral difficulties (p<0.001), indicating that excessive screen time was associated with worse mental health. Meanwhile, outdoor time was associated with better mental health, and positive correlations were observed at all levels of outdoor time (compared to no outdoor time, decreasing the likelihood of higher levels of behavioral difficulties by between 3 and 4 percentage points and of lower prosocial scores by between 6 and 8 percentage points; all p's<0.001). For academic performance, average daily screen times of up to 1 hour and 1-2 hours were both positively associated with standardized math scores (0.08 SD, p<0.001; 0.07 SD, p<0.01, respectively), whereas there were no significant associations between outdoor time and academic performance.

Conclusion

Using a large sample size, this study was the first to examine the association between adolescent free time allocation with mental health and academic performance, providing initial insights into how rural Chinese adolescents can optimize their free time.