Resilliance among Turkish adolescents: a multi-level approach
CAKIR, G.; ISIK, U.; USTUN, U. D.; SU, N.; GUMUSGUL, O.
Show abstract
IntroductionThe objective of this study is to determine the components that contribute to psychological resilience in adolescents and to determine if physical exercise, emotion control, or self-efficacy are more effective predictors of resilience. MethodsData from participants was collected through a personal information form, the International Physical Activity Questionnaire--Short Form, the Self-Efficacy Scale for Children, the Emotion Regulation Scale for Children and Adolescents, and the Psychological Resilience Scale for Children and Adolescents. The data were gathered online from 16 out of the 81 provinces in Turkey, representing 7 different regions, using convenience sampling. The study sample comprised 505 adolescents, with 309 females and 196 males. The average age of the participants was 15.66 years, with a standard deviation of 1.34. The data obtained from the students was analyzed using SPSS 27.0 statistical software. The Chi-Square test was employed to establish the correlation between the demographic features of adolescents and their levels of physical activity. The relationship between the independent variables and the dependent variable was determined using correlation analysis and hierarchical regression analysis. ResultsThe results suggest that physical exercise, the ability to regulate emotions through reappraisal, and self-efficacy are significant indicators of adolescents resilience. ConclusionsThe research conclusions point out that self-efficacy has a greater impact on psychological resilience compared to physical activity and emotion regulation.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The importance of assigning responsibility during evaluation in order to increase student satisfaction from physical education classes: A model of structural equations 96%
- The Chinese Assessment of physical literacy:Based on Grounded Theory Paradigm for children in grades 3-6 95%
- Understanding the dynamics of physical activity practice in the health context through Regulatory Focus and Self-Determination theories 95%
Similar papers in this journal
- Acculturation stressors and academic adjustment among Nepalese students in South Korean higher education institutions 94%
- The experience of distress during the COVID-19 outbreak: a cross-country examination on the fear of COVID-19 and the sense of loneliness 93%
- Conspiracy beliefs are associated with lower knowledge and higher anxiety levels regarding COVID-19 among students at the University of Jordan 92%
Similar papers in this journal
- Measurement of motivation states for physical activity and sedentary behavior: Development and validation of the CRAVE scale 93%
- Quality of life and depressive symptoms among Peruvian university students during the COVID-19 pandemic 93%
- COVID-19 knowledge, risk perception and precautionary behaviour among Nigerians: A moderated mediation approach 92%
Similar papers in this journal
- Adolescent boys’ sociocultural beliefs and attitudes toward menstruation in selected high schools in Ghana: Mediation and moderation effect of knowledge 93%
- Use of Instagram and its effect on the Mental Well-being of University Students: A Pakistani Perspective 93%
- Prevalence of Social Anxiety Disorder and its associated factors among Foreign-born Undergraduate Students in Türkiye: A Cross-Sectional Study 92%
Similar papers in this journal
- Increasing trends in mental health problems among Chinese young adolescents: results from repeated cross-sectional data in Changsha 2016-2020 93%
- A protocol for a systematic critical realist synthesis of school mindfulness interventions designed to promote pupils’ mental wellbeing 91%
- Anxiety, depression, and insomnia among nurses during the full liberalization of COVID-19: A multicenter cross-sectional analysis of the high-income region in China 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.