Adicción o abuso del teléfono móvil: revisión de la literatura
Open accessAbstract
El teléfono móvil es un instrumento tecnológico relativamente nuevo, versátil y accesible, muy atractivo, especialmente para jóvenes, cuyo uso conlleva riesgo de abuso y comportamiento adictivo. En los últimos años ha aumentando el interés por este problema, especialmente por la implicación de población cada vez más joven. El objetivo del presente trabajo es revisar el estado actual del conocimiento sobre la adicción/ abuso del móvil. Para ello, se efectuó una búsqueda en bases de datos internacionales, utilizando los descriptores “mobile phone”, “cellular telephones”, “addiction” y “abuse”, focalizándose en estudios de prevalencia, pruebas diagnósticas, asociaciones con variables psicológicas y diferencias de género. Se observa una indefinición conceptual sobre los conceptos de abuso y adicción al móvil, gran disparidad en la adopción de criterios diagnósticos y multiplicidad de instrumentos para su estimación. Consecuentemente, la prevalencia estimada oscila entre 0-38%, en función de la escala y características de la población estudiada. La autoatribución de adicción al móvil supera la estimación que alcanzan los mismos estudios. El rasgo de personalidad más consistentemente asociado a adicción es la baja autoestima, aunque la extraversión se relaciona con uso más intenso. Las mujeres con baja autoestima representan el grupo más vulnerable. El síntoma psicopatológico más comúnmente asociado fue la depresión. En definitiva, se evidencia que existe una problemática relacionada con el uso del teléfono móvil, pero la ausencia de criterios diagnósticos y la precaria calidad de los estudios dificultan la definición del problema. Es necesario delimitar y unificar criterios que permitan realizar estudios comparables y de calidad.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Whether the problem is the cell phone itself or its contents and applications is a topic of current debate.
“Whether the problem is the cell phone itself or its contents and applications (24) is a topic of current debate, similar to previous debates with respect to the Internet (25, 26).”
From Cell-phone addiction: a review (2016) · cites this paper as [24]
Problematic cell-phone use includes problematic and conscious use in dangerous situations or prohibited contexts, with social and familial conflicts and confrontations, and loss of interest in other activities.
“Problematic and conscious use in dangerous situations or prohibited contexts (45) with social and familial conflicts and confrontations, as well as loss of interest in other activities (46–49).”
From Cell-phone addiction: a review (2016) · cites this paper as [49]
The smartphone has raised concerns about its potential to be addictive, as happens with other possible behavioral addictions such as those to the Internet or to social networking sites.
“Because of its popularity and because it is a relatively new device (compared to the “classical” mobile phone), the smartphone has raised concerns about its potential to be addictive [9,10,11,12] as happens with other possible behavioral addictions, such as those to the Internet or to social networking sites [13].”
From Problematic Use of the Internet and Smartphones in University Students: 2006–2017 (2018) · cites this paper as [12]
The range of values for problematic users or addicts ranges between 0% and 35%, with 10-20% being the most frequent values, although there have been reports of 48% in university students.
“A preliminary comparison shows that the range of values for problematic users or addicts ranges between 0% and 35%, with 10–20% being the most frequent values [7,10,12], although there have been reports of 48% in university students [24].”
From Problematic Use of the Internet and Smartphones in University Students: 2006–2017 (2018) · cites this paper as [12]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 72 · Cited by 119
Research works printed but not linked: 6
- Ahmed, I., Ramzan, M., Qazi, T. F. y Jabeen, S. (2011). An investigation of mobile phone consumption patterns among students and professionals; is there any difference? European Journal of Economics, Finance & Administrative Sciences, 39 , 126-143.
- APA (2000). Diagnostic and Statistical Manual of Mental Disorders, 4th Edition, Text Revision . Washington, DC: American Psychiatric Association.
- Brown, R. I. F. (1997). A theoretical model of the behavioural addictions - applied to offending. En J. E. Hodge, M. McMurran y C. R. Hollin (Eds.), Addicted to crime (pp. 13-65). Glasgow: John Wiley & Sons Ltd.
- Gabelas Barroso, J. A. (2005). Crecer entre pantallas. En Libro de Ponencias del Congreso: ser adolescente hoy (pp. 273-283). Madrid: Fundación de Ayuda contra la Drogadicción.
- Hashem, M. E. (2009). Impact and implications of new information technology on Middle Eastern youth. Global Media Journal, 8 (14), 1. Recuperado de: http://lass.calumet.purdue.edu/cca/gmj/sp09/ gmj-sp09-hashem.htm.
- Leung, L. (2007). Leisure boredom, sensation seeking, self-esteem, addiction symptoms and patterns of cell phone use. En E. A. Konijn, M. A. Tanis, S. Utz y A. Linden (eds.), Mediated interpersonal communication (pp. 359-381). Mahwah, NJ: Lawrence Erlbaum Associates.
- Authors
- Pedrero Pérez, E. J., Rodríguez Monje, M. T., & Ruiz Sánchez De León, J. M.
- Venue
- Adicciones
- Publisher
- Socidrogalcohol
- Published
- 2012-06-01
- Volume
- 24
- Issue
- 2
- Pages
- 139-152
- ISSN
- 0214-4840 (ISSN-L)
- OpenAlex
- W2119684920
- Cited by
- 119
- References
- 72
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 3 · 2023: 6 · 2022: 8 · 2021: 14 · 2020: 16 · 2019: 17 · 2018: 11 · 2017: 6 · 2016: 16 · 2015: 7 · 2014: 4 · 2013: 3 · 2012: 2
- FWCI
- 16.88
- Type
- journal article
- Language
- es
- Open access
- diamond
- doi.org
- Locations
- Adicciones (publishedVersion)
- PubMed (publishedVersion)
- Redalyc (Universidad Autónoma del Estado de México) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
- Social Sciences › Education › Child Development and Digital Technology
- Keywords
- mobile phone addiction, mobile phone use, prevalence, diagnostic criteria, self-esteem, extraversion, gender differences, depression, youth
- MeSH terms
- Female, Humans, Male, Sex Factors, Behavior, Addictive, Cell Phone
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 ›
Are you an author, or do you see a problem with this page? Request a review