scholarly journals How Labor Values Affect Mental Health: An Analysis From the Perspective of Social Support

2021 ◽  
Vol 12 ◽  
Author(s):  
Yuliang Gu ◽  
Xiaomei Chao

To explore the positive and negative effects of labor values on mental health from the aspects of life satisfaction and psychological distress, and further verify the mediating role of social support. A total of 2,691 primary and secondary school students were surveyed by Labor Values Scale, the Multidimensional Scale of Social Support, General Health Questionnaire and Satisfaction with Life Scale, and the results of which showed that as: (1) labor values can positively predict life satisfaction, while they are negatively correlated with psychological distress; (2) social support can play a mediating role between labor values and life satisfaction; and (3) social support can also play a mediating role in the relationship between labor values and psychological distress. This study revealed that the specific path and mechanism of labor values on mental health. This provided a reference for families and schools to further implement the education of labor values on primary and secondary school students and helped to promote the social construction of an education system that aimed at cultivating individual all-round development.

2021 ◽  
Author(s):  
Michael U. Anyanwu

Abstract BackgroundPsychological distress is a mental health condition that is common in adolescents. It negatively affects the academic performance of adolescents, relationships with family and friends, and the ability of adolescents to participate fully in the community. Stressful life events in low income countries and risk taking behavior of adolescents have raised concerns on the magnitude and impact of psychological distress among adolescents in Uganda. This study aims to estimate the prevalence of psychological distress and assess the high risk behaviors associated with psychological distress among secondary school students in Uganda. MethodsA community based cross-sectional study was conducted among secondary school students in Mbarara Municipality, Uganda. Multistage cluster sampling technique was used to recruit study participants and a total of 921 students participated in the study using a self-reported questionnaire. Psychological distress was assessed by Kessler’s psychological distress scale (K10). To identify high risk behaviors associated with psychological distress, multinomial logistic regression was used with p <0.05 and 95% confidence interval. ResultsThe prevalence of psychological distress was 57%. Risky sexual behavior, alcohol consumption, smoking and substance use were associated with psychological distress. Also, boarding school students, those in mixed schools, students that own mobile phones and adolescents with chronic illness were more likely to report psychological distress. ConclusionThe prevalence of psychological distress is high among school going adolescents and risky behaviors were associated with psychological distress. The findings suggest the need to address mental health issues in adolescents.


Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 153
Author(s):  
Daniel Amo ◽  
Paul Fox ◽  
David Fonseca ◽  
César Poyatos

Robotics technology has become increasingly common both for businesses and for private citizens. Primary and secondary schools, as a mirror of societal evolution, have increasingly integrated science, technology, engineering and math concepts into their curricula. Our research questions are: “In teaching robotics to primary and secondary school students, which pedagogical-methodological interventions result in better understanding and knowledge in the use of sensors in educational robotics?”, and “In teaching robotics to primary and secondary school students, which analytical methods related to Learning Analytics processes are proposed to analyze and reflect on students’ behavior in their learning of concepts and skills of sensors in educational robotics?”. To answer these questions, we have carried out a systematic review of the literature in the Web of Science and Scopus databases regarding robotics sensors in primary and secondary education, and Learning Analytics processes. We applied PRISMA methodology and reviewed a total of 24 articles. The results show a consensus about the use of the Learning by Doing and Project-Based Learning methodologies, including their different variations, as the most common methodology for achieving optimal engagement, motivation and performance in students’ learning. Finally, future lines of research are identified from this study.


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