Online Labor Education Optimization Method Based on Computer Intelligent Algorithm.

People's lives are undergoing tremendous changes with the development of the times. Compared with the past, people's pursuit of spiritual and cultural life also makes our education field usher in a huge development to adapt to the changes in the context of the times. But, at the same time, the development of labor education is gradually being downplayed by people, resulting in a series of problems such as people preferring comfort and not working. Aiming at this common problem, this paper will use the ant colony algorithm and particle swarm optimization algorithm in the computer intelligent algorithm to optimize the way of labor education. It includes the principle and basic process of the ant colony algorithm, the establishment of the mathematical model of the original ant colony algorithm, and the improved algorithm of the ant colony algorithm. The research results of the optimization method of labor education showed the following: when the number of ant colonies reaches 51, the number of iterations of the algorithm will be the least, and the corresponding shortest path is also the best solution; when the combination of pheromone intensity and volatility factor is 3, the optimal solution can be quickly found, and the algorithm inflection point of MMAS is 44.82. From the research results, it can be seen that the computer intelligent algorithm has a good choice for the optimization of labor education and can achieve a major breakthrough in the traditional model of labor education.

Self-compassion and resilience mediate the relationship between childhood exposure to domestic violence and posttraumatic growth/stress disorder during COVID-19 pandemic.

BACKGROUND: Studies have indicated that childhood exposure to domestic violence is a common factor in posttraumatic growth (PTG) and posttraumatic stress disorder (PTSD), but it is unclear whether PTG and PTSD share a common/different underlying mechanism. AIM: To explore the common/different underlying mechanism of PTG and PTSD. METHODS: Between February 12 and 17, 2020, a nationwide cross-sectional online survey was conducted in China among 2038 university students, and a self-administered questionnaire was used for the data collection. The data included demographic characteristics, such as age, gender, and subjective social economic status, and childhood exposure to domestic violence scale that was selected from the Chinese version of revised Adverse Childhood Experiences Question, Self-compassion Scale, Connor-Davidson Resilience Scale, Posttraumatic Growth Inventory, and the Abbreviated PTSD Checklist-Civilian version. A structural equation model was used to test the hypotheses. RESULTS: Exposure to domestic violence was significantly associated with PTG and PTSD via a 1-step indirect path of self-compassion (PTG: ß = -0.023, 95%CI: -0.44 to -0.007; PTSD: ß = 0.008, 95%CI: 0.002, 0.014) and via a 2-step indirect path from self-compassion to resilience (PTG: ß = -0.008, 95%CI: -0.018 to -0.002; PTSD: ß = 0.013, 95%CI: 0.004-0.024). However, resilience did not mediate the relationship between exposure to domestic violence and PTG and PTSD. CONCLUSION: PTG and PTSD are common results of childhood exposure to domestic violence, which may be influenced by self-compassion and resilience.

Prevalence and Correlates of Mental Health Problems among Chinese Adolescents with Frequent Peer Victimization Experiences.

This study investigated the prevalence and correlates of mental health outcomes, particularly depression, anxiety, and insomnia, in adolescents with frequent peer victimization experiences (FPVEs). In this cross-sectional study, 490 adolescents reported having FPVEs (prevalence, 4.2%; mean age, 13.40 ± 1.38 years old; 52.2% male) completed a series of surveys to evaluate their demographic factors and mental health status. The results showed that the prevalence of depression, anxiety, and insomnia were 50.3%, 33.8%, and 40.2%, respectively. Older age, being female, being left behind, and more adverse childhood experiences were correlated with more symptoms of depression, anxiety, and insomnia among adolescents with FPVEs. At the same time, social support and self-compassion were good for ameliorating these mental health problems. Implications for intervention programs designed to improve the mental health of adolescents with FPVEs were also discussed.

Mental health problems among Chinese adolescents during the COVID-19: The importance of nutrition and physical activity.

Mental health problems are common among adolescents and greatly influenced by stressful events. This study sought to assess the prevalence and correlates of insomnia, depressive and anxiety symptoms among Chinese adolescents during the COVID-19. METHOD: Cross-sectional study (N = 1,794 adolescents, mean age = 15.26) was conducted in May 2020. An online survey was used to collect socio-demographic data, COVID-related fear (COVID-fear), nutrition, physical activity (PA) level and the symptoms of insomnia, depression and anxiety. RESULTS: The prevalence of insomnia, depressive and anxiety symptoms was 37.80%, 48.20% and 36.70%, respectively, among Chinese adolescents during the pandemic. Generalized linear models revealed that female, left behind children, and students with greater COVID-fear tended to report symptoms of insomnia, depression and anxiety concurrently. After adjusting for socio-demographic factors and COVID-fear, better nutritional status and moderately active PA were both associated with lower levels of depressive and anxiety symptoms, while highly active PA was associated with lower levels of insomnia, depressive and anxiety symptoms. CONCLUSIONS: These findings suggest that more attention should be paid to psychological health among adolescents while combating COVID-19. To promote adolescents' mental health, educators should help adolescents develop a healthy lifestyle with balanced diet and regular exercise.

Los problemas de salud mental son comunes en adolescentes y están influenciados por eventos estresantes. Se evaluó prevalencia y correlatos de síntomas de insomnio, depresión y ansiedad en adolescentes chinos durante el COVID-19. Método: En mayo de 2020 se realizó un estudio transversal (N = 1.794 adolescentes, edad media = 15,26) mediante una encuesta en línea para recopilar datos sociodemográficos, miedo relacionado con COVID-19, nutrición, actividad física (AF) y síntomas de insomnio, depresión y ansiedad. Resultados: La prevalencia de síntomas de insomnio, depresión y ansiedad fue del 37,80%, 48,20% y 36,70%, respectivamente. Modelos lineales generalizados revelaron que mujeres, niños abandonados y estudiantes con más miedo al COVID-19 tendían a informar síntomas de insomnio, depresión y ansiedad simultaneamente. Después de ajustar los factores sociodemográficos y el miedo al COVID-19, mejor estado nutricional y AF moderadamente activa se asociaron con niveles más bajos de síntomas de depresión y ansiedad, mientras que AF muy activa se asoció con niveles más bajos de insomnio, síntomas depresivos y de ansiedad. Conclusiones: Se debe prestar más atención a la salud psicológica de los adolescentes mientras se combate el COVID-19. Para promover su salud mental, los educadores deben ayudarles a desarrollar un estilo de vida saludable con una dieta equilibrada y ejercicio regular.

The Relationship between Positive Youth Development and Depressive Symptoms among Chinese Early Adolescents: A Three-Year Cross-Lagged Analysis.

Based on the development assets theory and the scar model, the present study examined the relationship between positive youth development (PYD) and depressive symptoms among Chinese early adolescents using a three-year longitudinal study design. Data from three waves were collected from 1301 students (Mean age = 12.46, SD = 0.63 years and 51.2% boys at wave 1) across the junior high school period (Grades 7-9). All participants completed a questionnaire that included the Center for Epidemiologic Studies Depression Scale (CES-D) and the Chinese Positive Youth Development Scale (CPYD) once a year over three years. After controlling for age and gender, this study found that PYD significantly predicted subsequent depressive symptoms. However, depressive symptoms did not significantly predict subsequent PYD. The results indicated a unidirectional relationship between PYD and depressive symptoms, where a reduction in PYD may increase subsequent depressive symptoms, though not vice versa. Besides, the negative cross-sectional correlation between PYD and depressive symptoms remains significant and stable from first year (T1) to third year (T3). These findings suggest that promoting PYD may be a promising approach to preventing/reducing adolescent depressive symptoms.

Depressive Symptoms among Junior High School Students in Southern China: Prevalence, Changes, and Psychosocial Correlates.

BACKGROUND: Depression is one of the most common mental health problems in adolescents. A careful assessment of the prevalence and risk of depressive symptoms, as well as those factors that protect against it, is essential for prevention and intervention programs. METHOD: Using two waves of data from Grade 7 to Grade 9 (N = 1,544 students in Wave 1), this study examined the prevalence and changes of depressive symptoms and their related psychosocial correlates (personal and familial factors, including family functioning and positive youth development [PYD] constructs) among junior high school students in Southern China. RESULTS: The results showed that while depressive symptoms generally declined throughout the secondary junior school years, symptoms of major depression remained stable. Concurrently, academic achievement, family functioning, and PYD constructs regarding cognitive behavioral competence (CBC), positive identity (PIT), and general PYD qualities (GPYDQ) negatively predicted depressive symptoms in Wave 1. Longitudinally, being female, having poor academic achievement and family functioning, and having a low PIT in Wave 1 significantly predicted depressive symptoms in Wave 2. LIMITATIONS: This study used the self-reporting approach, did not track a long-term developmental trajectories of adolescent depressive symptoms, and did not cover all potential predictors. CONCLUSIONS: The findings suggest that being female and having poor academic achievement are risk factors, while positive family functioning and PYD constructs protect against the development of adolescent depression.