The socialisation of the adolescent who carries out team sports: a transversal study of centrality with a social network analysis

• URL: http://arxiv.org/abs/2402.09275v1
• Date: Wed, 14 Feb 2024 16:00:56 GMT
• Title: The socialisation of the adolescent who carries out team sports: a transversal study of centrality with a social network analysis
• Abstract summary: This study analyzed adolescent physical activity, its link to overweight, and the social network structure in group sports participants. Results: 30.2% were overweight. Males scored higher in PAQ-A and were more likely to engage in group sports.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Objectives: This study analyzed adolescent physical activity, its link to overweight, and the social network structure in group sports participants, focusing on centrality measures. Setting: Conducted in 11 classrooms across 5 schools in Ponferrada, Spain. Participants: Included 235 adolescents (49.4% female), categorized as normal weight or overweight. Methods: The Physical Activity Questionnaire for Adolescents (PAQ-A) assessed physical activity levels. Social network analysis evaluated centrality in varying contact degrees. Results: 30.2% were overweight. Males scored higher in PAQ-A and were more likely to engage in group sports. No significant correlation was found between physical activity and weight in the total sample. However, overweight females reported higher exercise levels. Centrality analysis showed gender differences; women in group sports had lower centrality, whereas men had higher. Conclusions: The study highlights the importance of gender and social network centrality in designing future strategies, considering peer interaction intensity

Related papers

• Multilevel Determinants of Overweight and Obesity Among U.S. Children Aged 10-17: Comparative Evaluation of Statistical and Machine Learning Approaches Using the 2021 National Survey of Children's Health [0.2538209532048867]
  We analyze 18,792 children aged 10-17 years from the National Survey of Children's Health.<n>Overweight/obesity is defined using BMI categories. Predictors included diet, physical activity, sleep, parental stress, socioeconomic conditions, adverse experiences, and neighborhood characteristics.<n>Performance is evaluated using AUC, accuracy, precision, recall, F1 score, and Brier score.
  arXiv  Detail & Related papers  (2026-02-23T19:31:44Z)
• Measuring Computer Science Enthusiasm: A Questionnaire-Based Analysis of Age and Gender Effects on Students' Interest [4.580941470529078]
  This study offers new insights into students' interest in computer science (CS) education by disentangling the effects of age and gender.<n>We conceptualize enthusiasm as a short-term, activating expression of interest that combines positive affect, perceived relevance, and intention to re-engage.<n>Using data from more than 400 students participating in online CS courses, we examined age- and gender-related patterns in enthusiasm.
  arXiv  Detail & Related papers  (2025-12-09T10:43:46Z)
• Overcoming Obstacles: Challenges of Gender Inequality in Undergraduate ICT Programs [0.34865180646161636]
  In Brazil, women represent less than 18% of ICT students in higher education.<n>This study explores the perceptions of women undergraduate students in ICT regarding gender inequality.
  arXiv  Detail & Related papers  (2025-05-02T18:28:48Z)
• Countrywide natural experiment reveals impact of built environment on physical activity [55.93314719065985]
  More walkable built environments have the potential to increase activity across the population. Increases in walkability are associated with significant increases in physical activity after relocation. Moderate-to-vigorous physical activity (MVPA) is linked to an array of associated health benefits.
  arXiv  Detail & Related papers  (2024-06-07T00:11:17Z)
• Gender Differences in Class Participation in Online versus In-Person Core CS Courses [0.0]
  Shift to primarily asynchronous online learning has impacted the gender gap in student participation scores and students' attitudes towards themselves and their peers. Males score higher on average and dominate the top scores while in online classes, male and female students participate at approximately the same rate classwide. Female participation habits in typical in-person classes are not inherent gender differences, but rather, a product of the environment.
  arXiv  Detail & Related papers  (2024-04-11T22:36:36Z)
• Impact of Physical Activity on Quality of Life During Pregnancy: A Causal ML Approach [1.7765306045990206]
  The concept of Quality of Life (QoL) refers to a holistic measurement of an individual's well-being, incorporating psychological and social aspects. Pregnant women, especially those with obesity and stress, often experience lower QoL. Physical activity has shown the potential to enhance the QoL. However, pregnant women who are overweight and obese rarely meet the recommended level of PA.
  arXiv  Detail & Related papers  (2024-02-25T12:07:32Z)
• Feasibility of Social-Network-Based eHealth Intervention on the Improvement of Healthy Habits among Children [1.4854797901022863]
  The study shows the feasibility of an eHealth solution for tackling eating habits and physical activity in the adolescent population. It can be concluded that eHealth interventions can help to obtain healthy habits.
  arXiv  Detail & Related papers  (2024-02-14T16:23:48Z)
• Adolescent relational behaviour and the obesity pandemic: A descriptive study applying social network analysis and machine learning techniques [0.0]
  Aim: To study the existence of subgroups by exploring the similarities between the attributes of the nodes of the groups. Aim: To analyse the connectivity between groups based on aspects of similarities between them through SNA and artificial intelligence techniques.
  arXiv  Detail & Related papers  (2024-02-04T09:19:56Z)
• Learning to Compose SuperWeights for Neural Parameter Allocation Search [61.078949532440724]
  We show that our approach can generate parameters for many network using the same set of weights. This enables us to support tasks like efficient ensembling and anytime prediction.
  arXiv  Detail & Related papers  (2023-12-03T04:20:02Z)
• Towards Understanding Gender-Seniority Compound Bias in Natural Language Generation [64.65911758042914]
  We investigate how seniority impacts the degree of gender bias exhibited in pretrained neural generation models. Our results show that GPT-2 amplifies bias by considering women as junior and men as senior more often than the ground truth in both domains. These results suggest that NLP applications built using GPT-2 may harm women in professional capacities.
  arXiv  Detail & Related papers  (2022-05-19T20:05:02Z)
• Incorporating Rivalry in Reinforcement Learning for a Competitive Game [65.2200847818153]
  This study focuses on providing a novel learning mechanism based on a rivalry social impact. Based on the concept of competitive rivalry, our analysis aims to investigate if we can change the assessment of these agents from a human perspective.
  arXiv  Detail & Related papers  (2020-11-02T21:54:18Z)
• Health-behaviors associated with the growing risk of adolescent suicide attempts: A data-driven cross-sectional study [0.0]
  Key health-behaviors identified include: being sad/hopeless, followed by safety concerns at school, physical fighting, inhalant usage, illegal drugs consumption at school, current cigarette usage, and having first sex at an early age. Minority groups (American Indian/Alaska Natives, Hispanics/Latinos, and females) are also found to be highly vulnerable to attempting suicides.
  arXiv  Detail & Related papers  (2020-09-08T19:29:18Z)
• Social Engagement versus Learning Engagement -- An Exploratory Study of FutureLearn Learners [61.58283466715385]
  Massive Open Online Courses (MOOCs) continue to see increasing enrolment, but only a small percent of enrolees completes the MOOCs. This study is particularly concerned with how learners interact with peers, along with their study progression in MOOCs. The study was conducted on the less explored FutureLearn platform, which employs a social constructivist approach and promotes collaborative learning.
  arXiv  Detail & Related papers  (2020-08-11T16:09:10Z)
• Social Interactions Clustering MOOC Students: An Exploratory Study [57.822523354358665]
  Comments were categorized based on how students interacted with them, e.g., how a student's comment received replies from peers. Statistical modelling and machine learning were used to analyze comment categorization, resulting in 3 strong and stable clusters.
  arXiv  Detail & Related papers  (2020-08-10T09:32:38Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.