Determining and comparing the level of motivation for exercise according to the sociodemographic characteristics of university students DOI Creative Commons
Mohammad Feraz Ahsan, Mohammed Feroz Ali, Mumtaz Alam

et al.

BMC Public Health, Journal Year: 2024, Volume and Issue: 24(1)

Published: Dec. 16, 2024

Motivation levels for exercise vary widely among individuals and are influenced by various factors. This study aimed to compare motivation explore influencing factors university students. A cross-sectional research design targeted students aged range 18 32 years. Participants (n = 148) were selected via cluster random sampling. was determine the Exercise Inventory (EMI-2). EMI-2 comprises fourteen different subscales of motivation, with each subscale containing three four items. All items rated on a scale 0 5, indicating "not at all true me" 5 "very me." Statistical analyses included ANOVA Pearson correlation coefficient assess differences demographic variables (year study, age, gender, marital status, location, family size) relationships between motivational aspects. The average level 166.94 ± 32.20. Fifth-year exhibited highest 178.33 30.37. No significant gender found (p 0.149). However, age 0.024), location 0.015), status 0.050), size 0.030) significantly motivation. University demonstrate inherent physical activity, variations observed across These findings underscore importance tailored interventions promote enhance student well-being. Further research, including longitudinal studies, is warranted comprehensively understand dynamics in this population.

Language: Английский

Is physical exercise associated with reduced adolescent social anxiety mediated by psychological resilience?: evidence from a longitudinal multi-wave study in China DOI Creative Commons
Jingtao Wu,

Yanhong Shao,

Wanli Zang

et al.

Child and Adolescent Psychiatry and Mental Health, Journal Year: 2025, Volume and Issue: 19(1)

Published: March 5, 2025

The study aims to investigate whether physical exercise is associated with psychological resilience, thereby significantly affecting adolescent social anxiety, and analyze the longitudinal cross-temporal stability between these three interrelated factors. methodology involved a survey utilizing International Physical Activity Questionnaire (IPAQ), Connor-Davidson Resilience Scale (CD-RISC), Social Anxiety (SAS) across various regions in China, including Sichuan, Guangdong, Shanxi Province, Beijing. A total of 1259 participants were recruited from primary, middle, high schools, an average age 13.7 years. sample comprised 626 males 633 females. tracking approach was implemented, commencing June 2023, follow-up rounds scheduled every months, culminating four rounds. results are as follows: (1) positively correlated resilience (r = 0.35, p < 0.001) negatively anxiety - 0.26, 0.001); (2) could predict next period (PET1 → SAT2: β 0.31, (3) Psychological played mediating role association on PRT2: 0.42, PRT2 SAT3: 0.38, p-values 0.001). exercise, exhibit stability, has significant lagged effect anxiety. may indirectly reduce through its enhanced adolescents.

Language: Английский

Citations

0
Self-determination theory and the influence of social support, self-regulated learning, and flow experience on student learning engagement in self-directed e-learning DOI Creative Commons
Yanhua Yang, Jianfeng Chen,

Xin Zhuang

et al.

Frontiers in Psychology, Journal Year: 2025, Volume and Issue: 16

Published: March 26, 2025

E-learning significantly broadens the scope for students to participate in extracurricular self-directed learning achieve personal goals. However, existing research has somewhat overlooked this particular setting. Our study delves into how self-determination theory shapes student engagement learning, influenced by social support, flow experience, and self-regulated while also examining mediating role of theory. We gathered 593 questionnaires from across various disciplines levels five Chinese universities. Through structural equation model, we tested 13 hypotheses several effects basing on findings revealed that support can predict relatedness, both experience have significant impacts three basic psychological needs. Furthermore, observed competence relatedness motivation A positive association exists between engagement, insignificant direct pathways no indirect effect effects. discussed similarities differences out-of-class e-learning traditional in-class e-learning, considering same influencing factors. offered constructive insights effectively reaching their

Language: Английский

Citations

0
Determining and Comparing the Level of Motivation for Exercise According to the Sociodemographic Characteristics of University Students DOI Creative Commons

Mohammad Ahsan,

Mohammed Feroz Ali, Mumtaz Alam

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 3, 2024

Abstract Background Motivation levels for exercise vary widely among individuals and are influenced by various factors. This study aimed to compare motivation explore influencing factors university students. Methods A cross-sectional research design targeted students aged 18 32. Participants (n = 148) were selected via cluster random sampling. self-administered questionnaire assessed motivating exercise. Statistical analyses included ANOVA Pearson correlation coefficient assess differences demographic variables (year of study, age, gender, marital status, location, family size) relationships between motivational aspects. Results The average level all was 166.94 ± 32.20. Fifth-year exhibited the highest (178.33 30.37). No significant gender found (p 0.149). However, age 0.024), location 0.015), status 0.050), size 0.030) significantly motivation. Conclusion University demonstrate inherent physical activity, with variations observed across These findings underscore importance tailored interventions promote enhance student well-being. Further research, including longitudinal studies, is warranted comprehensively understand dynamics in this population.

Language: Английский

Citations

0
Determining and comparing the level of motivation for exercise according to the sociodemographic characteristics of university students DOI Creative Commons
Mohammad Feraz Ahsan, Mohammed Feroz Ali, Mumtaz Alam

et al.

BMC Public Health, Journal Year: 2024, Volume and Issue: 24(1)

Published: Dec. 16, 2024

Motivation levels for exercise vary widely among individuals and are influenced by various factors. This study aimed to compare motivation explore influencing factors university students. A cross-sectional research design targeted students aged range 18 32 years. Participants (n = 148) were selected via cluster random sampling. was determine the Exercise Inventory (EMI-2). EMI-2 comprises fourteen different subscales of motivation, with each subscale containing three four items. All items rated on a scale 0 5, indicating "not at all true me" 5 "very me." Statistical analyses included ANOVA Pearson correlation coefficient assess differences demographic variables (year study, age, gender, marital status, location, family size) relationships between motivational aspects. The average level 166.94 ± 32.20. Fifth-year exhibited highest 178.33 30.37. No significant gender found (p 0.149). However, age 0.024), location 0.015), status 0.050), size 0.030) significantly motivation. University demonstrate inherent physical activity, variations observed across These findings underscore importance tailored interventions promote enhance student well-being. Further research, including longitudinal studies, is warranted comprehensively understand dynamics in this population.

Language: Английский

Citations

0