Hashem Mohammadian, Gholamabbas Moosavi, Hasan Eftekhar Ardebili,
Volume 11, Issue 4 (3-2014)
Abstract
Background and Aim: This study aimed gender variations about adolescents' health-related quality of life.
Materials and Methods: A cross-sectional study was performed on four hundred students selected by a Stratified random sampling. Two-way analysis of variance was used for the analysis of total health-related quality of life scores among boys and girls in terms of demographic factors. Data analysis was conducted with software SPSS 18 and LISREL8.8 programs.
Results: There were important differences in health-related quality of life total score between boys and girls in relevance rank of birth, level of education and BMI. Although, these differences weren't statistically significant (p>0.05), Girls’ reports were higher compared to boys except for the emotional functioning subscale.
Conclusions: Teachers and parents should make great efforts for meet the requirements and difficulties of emotional and behavioral in adolescent girls. It is Necessary to execute coping mechanisms by the training consultants to minimize stress and anxiety for the mother to be.
Seyedeh Kamelia Davoodzadeh, Seyyed Jafar Moosavi, Farshad Emami, Somaieh Borjalilu,
Volume 22, Issue 4 (3-2025)
Abstract
Background and Aim: This study aimed to design a qualitative model of the role of media in the development of home-based sports during the COVID-19 pandemic.
Materials and Methods: This was an interpretivism research with a qualitative approach (Grounded theory). Data were collected through semi-structured interviews with 15 experts in sports sciences and media selected purposefully using the snowball technique. The interviews were analyzed both textually and aurally using the MAXQDA 2024 software. To ensure research validity, expert knowledge of the participants and external review of the coding by two specialists in physical education were used. The inter-coder reliability was assessed using recoding reliability, resulting in a coefficient of 0.82.
Results: Analysis of the interviews yielded 405 meaningful units, ultimately categorized into 32 final codes which were identified into five main dimensions based on the systematic paradigm of Strauss and Corbin and in line with the design of the model, including causal conditions (infrastructural limitations, sociocultural impacts), contextual factors (media coordination with sports institutions), intervening factors (technical challenges in content production), strategies (digital interaction, platform development), and consequences (engagement in online exercise, media economic sustainability). The findings of the qualitative model showed that the expansion of digital media and shifts in the audience behavior played a central role in the development of home-based sports.
Conclusion: Developing home-based sports requires purposeful investments in digital platforms, contents tailored to the audience needs, and leveraging digital data and analytics. In addition, the media must also strengthen their collaborations with sports institutions and revise their strategic approaches, considering the current technical challenges and economic constraints.
