Auto-percepción del Uso Problemático del Teléfono Móvil en Estudiantes Universitarios de Acuerdo a su Sexo
DOI:
https://doi.org/10.18270/chps..v19i2.3134Palabras clave:
uso del teléfono móvil, estudiantes universitarios, sexoResumen
Para evaluar la auto-percepción del uso problemático del móvil por sexo en estudiantes universitarios, aplicamos el Cuestionario de Experiencias-Relacionadas con el Móvil [CERM (por su acrónimo en español)]. Las mujeres lo utilizaron más tiempo y tuvieron mayor puntuación-CERM que los hombres. En el grupo con uso ≥8 h/día y CERM ≥16, se identificó la mayor proporción de mujeres en comparación con el grupo de uso <8 h/día y CERM ≥ 16 y el grupo con CERM <16 independientemente del tiempo de uso, respectivamente. En este último grupo, el uso fue el más alto para tomar notas (11.21% vs. 1.20% y 1.60%; Chi-cuadrada = 14.89, p = .001) y el más bajo para acceder a redes sociales (40.18% vs. 62.65% y 55.20%; Chi-cuadrada = 11.29, p = .004) comparado con los de uso ≥8 h/día y CERM ≥16 y el grupo con uso <8 h/día y CERM ≥ 16.
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Referencias bibliográficas
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Amador-Licona, N., Aguirre-García, M., Anguiano-Peña, N., & Guízar-Mendoza, J. M. (2018). Desempeño laboral de acuerdo al estado de salud del trabajador y el uso del móvil en organizaciones laborales. Nova Scientia, 10, 423–440. https://doi.org/10.21640/ns.v10i21.1406
Attwell, G. (2007). Personal Learning Environments – the future of eLearning? eLearning Papers, 2, 1–8. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.97.3011&rep=rep1&type=pdf
Becker, J. B., Perry, A. N., & Westenbroek, C. (2012). Sex differences in the neural mechanisms mediating addiction: a new synthesis and hypothesis. Biology of Sex Differences, 3, 14. https://doi.org/10.1186/2042-6410-3-14
Becker, J. B., McClellan, M. L., & Glover-Reed, B. (2017). Sex differences, gender and addiction. Journal of Neuroscience Research, 95, 136–147. https://doi.org/10.1002/jnr.23963
Becker, J. B., & Chartoff, E. (2019). Sex differences in neural mechanisms mediating reward and addiction. Neuropsychopharmacology, 44, 166-183. https://doi.org/10.1038/s41386-018-0125-6
Beranuy, M., Carbonell X., Jordania, K., Rosell, M., & Chamarro, A. (2006). Uso y abuso del teléfono móvil en jóvenes y adolescentes. Information Technology, 24, 112-127. https://es.scribd.com/document/138638931/USO-Y-ABUSO-DEL-TELEFONO-MOVIL-EN-JOVENES-Y-ADOLESCENTES
Beranuy, M., Chamarro, A., Graner, C., & Carbonell, X. (2009). Validación de dos escalas breves para evaluar la adicción a Internet y el abuso de móvil [Validation of two short scales to assess Internet addiction and mobile abuse]. Psicothema, 21, 480–485. http://www.psicothema.com/psicothema.asp?id=3658
Beltrán, C. Y. B. (2016). " Kioscos Vive Digital": una estrategia digital y de conectividad para promover la inclusión social en comunidades rurales en Colombia. International Journal of Psychological Research, 9(1), 126-130. https://doi.org/10.21500/20112084.2107
Bickham, D. S., Hswen, Y., & Rich, M. (2015). Media use and depression: exposure, household rules, and symptoms among young adolescents in the USA. International Journal of Public Health, 60(2), 147–155. https://doi.org/10.1007/s00038-014-0647-6
Carbonell, X., Chamarro, A., Griffiths, M., Oberst, U., Cladellas, R., & Talarn, A. (2012). Problematic Internet and cell phone use in Spanish teenagers and young students. Anales de Psicología, 28, 789–796. https://doi.org/10.6018/analesps.28.3.156061
Cab Canul, M., Chan Chi, G., Cisneros Concha, I., & Druet Domínguez, N. (2016). Taller gestáltico para fortalecer la autoestima y prevenir el consumo problemático de bebidas alcohólicas en universitarios. Cuadernos Hispanoamericanos De Psicología, 14(2), 75-84. https://doi.org/10.18270/chps.v14i2.1340
Casey, B. J., Jones, R. M., & Hare, T. A. The adolescent brain. (2008). Annals of the New York Academy of Sciences, 1124, 111-126. https://doi.org/10.1196/annals.1440.010
Chen, Q., & Yan, Z. (2016). Does multitasking with mobile phones affect learning? A review. Computers in Human Behaviour, 54, 34–42.
https://doi.org/10.1016/j.chb.2015.07.047
Crandall, V. C. (1969). Sex differences in expectancy of intellectual and academic reinforcement. Achievement related motives in children. New York: Russell Sage.
Cyranowski, J. M., Frank, E., Young, E., & Shear, M. K. (2000). Adolescent onset of the gender difference in lifetime rates of major depression: a theoretical model. Archives of General Psychiatry, 57, 21–27. https://doi.org/10.1001/archpsyc.57.1.21
Elliot A. J., & Harackiewicz, J. M. (1994). Goal setting, achievement orientation, and intrinsic motivation: A mediational analysis. Journal of Personality and Social Psychology, 66, 968–980. https://doi.org/10.1037/0022-3514.66.5.968
Ehrenberg, A., Juckes, S., White, K. M., & Walsh, S. P. (2008). Personality and self-esteem as predictors of young people's technology use. Cyberpsychology & Behavior: the impact of the Internet, multimedia and virtual reality on behavior and society, 11(6), 739–741. https://doi.org/10.1089/cpb.2008.0030
Hines, M. (2011). Gender development and the human brain. Annual Review of Neuroscience, 34, 69–88. https://doi.org/10.1146/annurev-neuro-061010-113654
Instituto Nacional de Estadística y Geografía e Informática. (2018). Encuesta nacional sobre disponibilidad y uso de tecnologías de la información en los hogares.
https://www.inegi.org.mx/contenidos/saladeprensa/boletines/2019/OtrTemEcon/ENDUTIH_2018.pdf
Karpinski, A. C., Kirschner, P. A., Ozer, I., Mellott, J. A., & Ochwo, P. (2013). An exploration of social networking site use, multitasking, and academic performance among United States and European university students. Computers in Human Behavior, 29, 1182–1192. https://doi.org/10.1016/j.chb.2012.10.011
Kerstetter, K. A., & Kippin, T. E. (2011). Impact of sex and gonadal hormones on cocaine and food reinforcement paradigms. Journal of Addiction Research & Therapy, 4 (2), 2963.
Kukulska-Hulme, A. (2007). Mobile usability in educational contexts: What have we learnt? The International Review of Research in Open and Distributed Learning, 8(2). https://doi.org/10.19173/irrodl.v8i2.356
Lepp, A., Barkley, J. E., & Karpinski, A.C. (2015). The relationship between cell phone use and academic performance in a sample of U.S. college students. SAGE Open, 1, 1–9. https://doi.org/10.1177/2158244015573169
Lu, Ch., Hu, Y., Xie, J., Fu, Q., Leigh, I., Governor, S., & Wang, G. (2018). The Use of Mobile Health Applications to Improve Patient Experience: Cross-Sectional Study in Chinese Public Hospitals. JMIR Mhealth Uhealth, 6, 126. https://doi.org/10.2196/mhealth.9145
Mehdipour, Y., & Zerehkafi, H. (2013). Mobile learning for education: Benefits and challenges. International Journal of Computational Engineering Research, 3, 93-101.
Moksnes, U. K., Rannestad, T., Byrne, D. G., & Espnes, G. A. (2011). The association between stress, sense of coherence and subjective health complaints in adolescents: Sense of coherence as a potential moderator. Stress and Health, 27, 157–163. https://doi.org/10.1002/smi.1353
Nolen-Hoeksema, S., & Girgus, J. S. (1994). The emergence of gender differences in depression during adolescence. Psychological Bulletin, 115, 424–443. https://www.ncbi.nlm.nih.gov/pubmed/8016286
Perry, A. N., Westenbroek, C., & Becker, J. B. (2013). The development of a preference for cocaine over food identifies individual rats with addiction-like behaviors. Plos One, 8, 79465.
Perry, A. N., Westenbroek, C., & Becker, J. B. (2016). Sex differences and addiction. New York: Academic Press.
Roser, K., Schoeni, A., Foerster, M., & Röösli, M. (2016). Problematic mobile phone use of Swiss adolescents: is it linked with mental health or behaviour?. International Journal of Public Health, 61(3), 307–315. https://doi.org/10.1007/s00038-015-0751-2
Sánchez-Martínez, M., & Otero, A. (2009). Factors associated with cell phone use in adolescents in the community of Madrid (Spain). Cyber Psychology and Behavior, 12, 131-137. https://doi.org/10.1089/cpb.2008.0164.
Sanchis-Segura, C. S., & Becker, J.B. (2016). Why we should consider sex (and study sex differences) in addiction research. Addiction Biology; 21, 995–1006.
Sharma, M. K., Rao, G. N., Benegal, V., Thennarasu, K., & Thomas, D. (2017). Technology Addiction Survey: An Emerging Concern for Raising Awareness and Promotion of Healthy Use of Technology. Indian Journal of Psychological Medicine, 39(4), 495–499. https://doi.org/10.4103/IJPSYM.IJPSYM_171_17
Soyemi, J., Oloruntoba, S. A., & Okafor, B. (2015). Analysis of mobile phone impact on student academic performance in tertiary institution. International Journal of Emerging Technology and Advanced Engineering, 5, 361–367.
https://www.researchgate.net/publication/308412938_Analysis_of_Mobile_Phone_Impact_on_Student_Academic_Performance_in_Tertiary_Institution
Stevenson, B., & Wolfers, J. (2009). The paradox of declining female happiness. IZA Discussion Paper No. 4200. http://ftp.iza.org/dp4200.pdf.
Sweeting, H. N, West, P. B., & Der, G. J. (2007). Explanations for female excess psychosomatic symptoms in adolescence: Evidence from a school-based cohort in the west of Scotland. BMC Public Health, 7, 298. https://doi.org/10.1186/1471-2458-7-298
Torsheim, T., Ravens-Sieberer, U., Hetland, J., Valimaa, R., Danielson, M., & Overpeck, M. (2006). Cross-national variation of gender differences in adolescent subjective health in Europe and North America. Social Science & Medicine, 62, 815–827. https://doi.org/10.1016/j.socscimed.2005.06.047
Yen-Sen, L., & Bin-Seng L. (2016). Sleep pattern among electronic device users and its relationship with users’ practice in Malaysia university community. Sleep and Biological Rhythms, 14, 271–277. https://doi.org/10.1007/s41105-016-0052-z
Aljomaa, S.S., Al.Qudah, M.F., Albursan, I.S., Bakhiet, S.F., & Abduljabbar, A.S. (2016). Smartphone addiction among university students in the light of some variables. Computers in Human Behavior, 61, 155–164. https://doi.org/10.1016/j.chb.2016.03.041
Amador-Licona, N., Aguirre-García, M., Anguiano-Peña, N., & Guízar-Mendoza, J. M. (2018). Desempeño laboral de acuerdo al estado de salud del trabajador y el uso del móvil en organizaciones laborales. Nova Scientia, 10, 423–440. https://doi.org/10.21640/ns.v10i21.1406
Attwell, G. (2007). Personal Learning Environments – the future of eLearning? eLearning Papers, 2, 1–8. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.97.3011&rep=rep1&type=pdf
Becker, J. B., Perry, A. N., & Westenbroek, C. (2012). Sex differences in the neural mechanisms mediating addiction: a new synthesis and hypothesis. Biology of Sex Differences, 3, 14. https://doi.org/10.1186/2042-6410-3-14
Becker, J. B., McClellan, M. L., & Glover-Reed, B. (2017). Sex differences, gender and addiction. Journal of Neuroscience Research, 95, 136–147. https://doi.org/10.1002/jnr.23963
Becker, J. B., & Chartoff, E. (2019). Sex differences in neural mechanisms mediating reward and addiction. Neuropsychopharmacology, 44, 166-183. https://doi.org/10.1038/s41386-018-0125-6
Beranuy, M., Carbonell X., Jordania, K., Rosell, M., & Chamarro, A. (2006). Uso y abuso del teléfono móvil en jóvenes y adolescentes. Information Technology, 24, 112-127. https://es.scribd.com/document/138638931/USO-Y-ABUSO-DEL-TELEFONO-MOVIL-EN-JOVENES-Y-ADOLESCENTES
Beranuy, M., Chamarro, A., Graner, C., & Carbonell, X. (2009). Validación de dos escalas breves para evaluar la adicción a Internet y el abuso de móvil [Validation of two short scales to assess Internet addiction and mobile abuse]. Psicothema, 21, 480–485. http://www.psicothema.com/psicothema.asp?id=3658
Beltrán, C. Y. B. (2016). " Kioscos Vive Digital": una estrategia digital y de conectividad para promover la inclusión social en comunidades rurales en Colombia. International Journal of Psychological Research, 9(1), 126-130. https://doi.org/10.21500/20112084.2107
Bickham, D. S., Hswen, Y., & Rich, M. (2015). Media use and depression: exposure, household rules, and symptoms among young adolescents in the USA. International Journal of Public Health, 60(2), 147–155. https://doi.org/10.1007/s00038-014-0647-6
Carbonell, X., Chamarro, A., Griffiths, M., Oberst, U., Cladellas, R., & Talarn, A. (2012). Problematic Internet and cell phone use in Spanish teenagers and young students. Anales de Psicología, 28, 789–796. https://doi.org/10.6018/analesps.28.3.156061
Cab Canul, M., Chan Chi, G., Cisneros Concha, I., & Druet Domínguez, N. (2016). Taller gestáltico para fortalecer la autoestima y prevenir el consumo problemático de bebidas alcohólicas en universitarios. Cuadernos Hispanoamericanos De Psicología, 14(2), 75-84. https://doi.org/10.18270/chps.v14i2.1340
Casey, B. J., Jones, R. M., & Hare, T. A. The adolescent brain. (2008). Annals of the New York Academy of Sciences, 1124, 111-126. https://doi.org/10.1196/annals.1440.010
Chen, Q., & Yan, Z. (2016). Does multitasking with mobile phones affect learning? A review. Computers in Human Behaviour, 54, 34–42.
https://doi.org/10.1016/j.chb.2015.07.047
Crandall, V. C. (1969). Sex differences in expectancy of intellectual and academic reinforcement. Achievement related motives in children. New York: Russell Sage.
Cyranowski, J. M., Frank, E., Young, E., & Shear, M. K. (2000). Adolescent onset of the gender difference in lifetime rates of major depression: a theoretical model. Archives of General Psychiatry, 57, 21–27. https://doi.org/10.1001/archpsyc.57.1.21
Elliot A. J., & Harackiewicz, J. M. (1994). Goal setting, achievement orientation, and intrinsic motivation: A mediational analysis. Journal of Personality and Social Psychology, 66, 968–980. https://doi.org/10.1037/0022-3514.66.5.968
Ehrenberg, A., Juckes, S., White, K. M., & Walsh, S. P. (2008). Personality and self-esteem as predictors of young people's technology use. Cyberpsychology & Behavior: the impact of the Internet, multimedia and virtual reality on behavior and society, 11(6), 739–741. https://doi.org/10.1089/cpb.2008.0030
Hines, M. (2011). Gender development and the human brain. Annual Review of Neuroscience, 34, 69–88. https://doi.org/10.1146/annurev-neuro-061010-113654
Instituto Nacional de Estadística y Geografía e Informática. (2018). Encuesta nacional sobre disponibilidad y uso de tecnologías de la información en los hogares.
https://www.inegi.org.mx/contenidos/saladeprensa/boletines/2019/OtrTemEcon/ENDUTIH_2018.pdf
Karpinski, A. C., Kirschner, P. A., Ozer, I., Mellott, J. A., & Ochwo, P. (2013). An exploration of social networking site use, multitasking, and academic performance among United States and European university students. Computers in Human Behavior, 29, 1182–1192. https://doi.org/10.1016/j.chb.2012.10.011
Kerstetter, K. A., & Kippin, T. E. (2011). Impact of sex and gonadal hormones on cocaine and food reinforcement paradigms. Journal of Addiction Research & Therapy, 4 (2), 2963.
Kukulska-Hulme, A. (2007). Mobile usability in educational contexts: What have we learnt? The International Review of Research in Open and Distributed Learning, 8(2). https://doi.org/10.19173/irrodl.v8i2.356
Lepp, A., Barkley, J. E., & Karpinski, A.C. (2015). The relationship between cell phone use and academic performance in a sample of U.S. college students. SAGE Open, 1, 1–9. https://doi.org/10.1177/2158244015573169
Lu, Ch., Hu, Y., Xie, J., Fu, Q., Leigh, I., Governor, S., & Wang, G. (2018). The Use of Mobile Health Applications to Improve Patient Experience: Cross-Sectional Study in Chinese Public Hospitals. JMIR Mhealth Uhealth, 6, 126. https://doi.org/10.2196/mhealth.9145
Mehdipour, Y., & Zerehkafi, H. (2013). Mobile learning for education: Benefits and challenges. International Journal of Computational Engineering Research, 3, 93-101.
Moksnes, U. K., Rannestad, T., Byrne, D. G., & Espnes, G. A. (2011). The association between stress, sense of coherence and subjective health complaints in adolescents: Sense of coherence as a potential moderator. Stress and Health, 27, 157–163. https://doi.org/10.1002/smi.1353
Nolen-Hoeksema, S., & Girgus, J. S. (1994). The emergence of gender differences in depression during adolescence. Psychological Bulletin, 115, 424–443. https://www.ncbi.nlm.nih.gov/pubmed/8016286
Perry, A. N., Westenbroek, C., & Becker, J. B. (2013). The development of a preference for cocaine over food identifies individual rats with addiction-like behaviors. Plos One, 8, 79465.
Perry, A. N., Westenbroek, C., & Becker, J. B. (2016). Sex differences and addiction. New York: Academic Press.
Roser, K., Schoeni, A., Foerster, M., & Röösli, M. (2016). Problematic mobile phone use of Swiss adolescents: is it linked with mental health or behaviour?. International Journal of Public Health, 61(3), 307–315. https://doi.org/10.1007/s00038-015-0751-2
Sánchez-Martínez, M., & Otero, A. (2009). Factors associated with cell phone use in adolescents in the community of Madrid (Spain). Cyber Psychology and Behavior, 12, 131-137. https://doi.org/10.1089/cpb.2008.0164.
Sanchis-Segura, C. S., & Becker, J.B. (2016). Why we should consider sex (and study sex differences) in addiction research. Addiction Biology; 21, 995–1006.
Sharma, M. K., Rao, G. N., Benegal, V., Thennarasu, K., & Thomas, D. (2017). Technology Addiction Survey: An Emerging Concern for Raising Awareness and Promotion of Healthy Use of Technology. Indian Journal of Psychological Medicine, 39(4), 495–499. https://doi.org/10.4103/IJPSYM.IJPSYM_171_17
Soyemi, J., Oloruntoba, S. A., & Okafor, B. (2015). Analysis of mobile phone impact on student academic performance in tertiary institution. International Journal of Emerging Technology and Advanced Engineering, 5, 361–367.
https://www.researchgate.net/publication/308412938_Analysis_of_Mobile_Phone_Impact_on_Student_Academic_Performance_in_Tertiary_Institution
Stevenson, B., & Wolfers, J. (2009). The paradox of declining female happiness. IZA Discussion Paper No. 4200. http://ftp.iza.org/dp4200.pdf.
Sweeting, H. N, West, P. B., & Der, G. J. (2007). Explanations for female excess psychosomatic symptoms in adolescence: Evidence from a school-based cohort in the west of Scotland. BMC Public Health, 7, 298. https://doi.org/10.1186/1471-2458-7-298
Torsheim, T., Ravens-Sieberer, U., Hetland, J., Valimaa, R., Danielson, M., & Overpeck, M. (2006). Cross-national variation of gender differences in adolescent subjective health in Europe and North America. Social Science & Medicine, 62, 815–827. https://doi.org/10.1016/j.socscimed.2005.06.047
Yen-Sen, L., & Bin-Seng L. (2016). Sleep pattern among electronic device users and its relationship with users’ practice in Malaysia university community. Sleep and Biological Rhythms, 14, 271–277. https://doi.org/10.1007/s41105-016-0052-z
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2020-08-05
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Amador-Licona, N., Carpio-Mendoza, J. J., Guízar-Mendoza, J. M., & Rodríguez-Sánchez, P. (2020). Auto-percepción del Uso Problemático del Teléfono Móvil en Estudiantes Universitarios de Acuerdo a su Sexo. Cuadernos Hispanoamericanos De Psicología, 19(2), 1–16. https://doi.org/10.18270/chps.v19i2.3134
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