Acceso y uso de nuevas tecnologías entre los jóvenes de educación secundaria, implicaciones en salud. Estudio JOITIC
Open accessAbstract
Determinar la accesibilidad y el uso de las Tecnologías de la Información y la Comunicación (TIC) entre los jóvenes de Educación Secundaria Obligatoria (ESO) y analizar factores relacionados. Diseño Estudio descriptivo multicéntrico transversal. Institutos de ESO participantes en el programa «Salut i Escola». Un total de 5.538 alumnos de primero a cuarto curso de ESO de 28 centros del área de Barcelona. Aplicación de cuestionario autoadministrado sociodemográfico, de accesibilidad y uso de las TIC. Las preguntas no contestadas no superan el 1%, excepto sobre rendimiento escolar (3,13%). El 48,6% eran chicas, edad media 14 años (rango 11-20); 15,5% de origen extranjero. El 20,3% refieren bajo rendimiento escolar. El 75,5% realizan actividades extraescolares. El 88,9% refieren buena relación familiar. El acceso a las TIC es homogéneamente masivo: el 98% tiene ordenador en casa, y el 44,8% lo usa 2 o más horas diariamente; el 98,6% accede a Internet, el 47,2% sin control paterno. El 90% tiene móvil (83% en primero y 95% en cuarto), el 45,6% antes de los 12 años. Las chicas lo utilizan más para relaciones sociales y los chicos para jugar. El 64,4% juegan a videojuegos, el 36,5% durante 3 o más horas a la semana, y el 66,8% sin control paterno. Su uso disminuye con la edad. El control paterno de las TIC se asocia a mejor rendimiento escolar. Los adolescentes acceden a las TIC cada vez a una edad más temprana. Su uso representa una parte importante de su actividad diaria. Se han detectado diferencias de uso entre ambos sexos, edad y tipo de centro. To determine ICT accessibility and use among the adolescents attending High School and to analyse related factors. Cross-sectional multicentric study. High Schools participating in the Community Health «Salut i Escola» Programme. 5,538 students from first to fourth degree at 28 centres in the area of Barcelona. Self administered questionnaire including sociodemographic information, ICT use and accessibility. Missing answers were below 1% in all items except in school performance (3,13%); 48,6% were female, mean age 14 years (range 11-20); 15,5% foreigners; 23% reported low school performance; 75,2% took extracurricular activities; 88,9% refers a good relationship with their parents. ICT access is homogeneously massive: 98% had a computer at home, 44,8% used it for two or more hours daily. 98,6% could access Internet, 47,2% without parental control. 90% owned a mobile phone (83% in first grade, 95% in fourth); 45,6% owned one before 12 years old. Girls use it for social relationships and boys for playing. 68,4% played videogames, 36,5% for three or more hours a week and 66,8% without parental control. Their use decreases with age. The ICT parental control is associated with better school performance. Our high scholars gain access to the ICT at younger ages and they use them in almost every aspect of their lives. There have been detected some gender differences in their use, as well as in the age of the users and between the type of school.
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Jaruratanasirikul et al and Muñoz-Miralles et al reported an inverse association between video game playing and academic performance.
“Jar uratanasirikul et al 4 1 and Muñoz-Miralles et al 53 reported an inverse association, whereas Kovess-Masfety et al 47 found that high use was associated with 1.88 times the odds of high overall school competence.”
From Association Between Screen Media Use and Academic Performance Among Children and Adolescents: A Systematic Review and Meta-analysis (2019) · cites this paper as [53]
The Results state that neither video-game use nor hours played were associated with poor school performance. The Discussion reiterates that time spent on video games was not related to academic performance; the association it reports concerns computer use instead. The supplied passages do not give page numbers. (LLM, conf=0.94)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredWith regard to the device used, the association between time of computer use and academic performance in children and adolescents remains equivocal, with both negative and positive associations found.
“With regard to the device used, the association between time of computer use and academic performance in children and adolescents remains equivocal, with both negative 53 and positive 39 associations found”
From Association Between Screen Media Use and Academic Performance Among Children and Adolescents: A Systematic Review and Meta-analysis (2019) · cites this paper as [53]
The Results report that, among students who used a computer, poor academic performance increased as daily hours of use rose. They also report poorer performance among nonusers than among moderate users. The paper therefore supports an association that varies by level of use, but does not establish a positive association between increasing computer-use time and academic performance or characterize the broader evidence as equivocal. (LLM, conf=0.82)
Experimental — accuracy not yet measuredOne of the most prevalent behaviors online is social networking.
“This same reasoning has been used to distinguish between an Internet addiction and addictions to specific activities carried out on the network, with one of the most prevalent behaviors online being social networking (Jeong et al., 2016; Muñoz-Miralles et al., 2013; Pontes, Szabo, & Griffiths, 2015; Salehan & Negahban, 2013).”
From Is smartphone addiction really an addiction? (2018) · cites this paper as Muñoz-Miralles et al., 2013
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- Authors
- Muñoz-Miralles, R., Ortega-González, R., Batalla-Martínez, C., López-Morón, M. R., Manresa, J. M., & Torán-Monserrat, P.
- Affiliations
- Universitat Autònoma de Barcelona (ES)
- Institut Català de la Salut (ES)
- Corresponding author
- Muñoz-Miralles, Raquel
- Venue
- Atención Primaria
- Publisher
- Elsevier BV
- Published
- 2014-02
- Volume
- 46
- Issue
- 2
- Pages
- 77-88
- ISSN
- 0212-6567 (ISSN-L)
- PMC
- PMC6983583
- OpenAlex
- W1977176065
- Cited by
- 51
- References
- 21
- Citations by year
- 2025: 3 · 2024: 4 · 2023: 1 · 2022: 1 · 2021: 10 · 2020: 8 · 2019: 8 · 2018: 5 · 2017: 3 · 2016: 5 · 2015: 2 · 2014: 1
- FWCI
- 8.26
- Type
- journal article
- Language
- es
- Open access
- gold
- doi.org
- Licence
- Locations
- Atención Primaria (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona) (submittedVersion, cc-by-nc-nd)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Education › Child Development and Digital Technology
- Social Sciences › Gender Studies › Gender and Technology in Education
- Keywords
- information and communication technologies, ICT use, adolescents, high school students, parental control, video game use, academic performance, health implications, gender differences, age differences, mobile phone use, internet use, Barcelona, school health promotion, extracurricular activities, family relationships, school type differences
- MeSH terms
- Adolescent, Child, Cross-Sectional Studies, Female, Humans, Male, Public Health, Surveys and Questionnaires, Schools, Telecommunications, Video Games, Internet, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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