ADOPA
Publicado: 12/24/2024
DOI: https://doi.org/10.58994/adopa.v2i3.44
Adicción a internet y su relación con sobrepeso y obesidad en adolescentes mexicanos
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Resumen
Introduction: Aproximately 33% of users between 12 and 16 years of age are at high risk for compulsive use of digital services; adolescents with a high body mass index may have a reduced prefrontal cortex and difficulty in inhibiting impulsive behavior and risk of develo- ping addiction. The objective of this study was to investigate whether there is an association between Internet addiction and the presence of overweight or obesity in adolescents.
Methods: Quantitative observational cross-sectional study. High school students, both sexes, between 15 and 18 years of age were included. A general data questionnaire and the Internet addiction test were administered, and they were weighed and measured to obtain the body mass index and to classify their weight level. Descriptive analysis was performed, Mann Whitney U, Pearson’s X2, and significance was considered with p less than .05.
Results: 284 adolescents were included, 160 females and 124 males, age between 15 and 18 years, 35.5% (101) presented some degree of overweight or obesity, 61.3% (174) reported waking up during sleep to check their cell phone, the average number of hours of sleep was 7 hours, and time spent on the Internet was 5 hours, females performed less physical activity than males (p.001); using the IAT scale, 52.2% (150), 35.2% (100) mild addiction and 12% (34) moderate addiction. No relationship was found between Internet addiction and the varia- bles studied.
Conclusions: We found no relationship between Internet addiction and the presence of overweight or obesity in adolescents.
Abstract
Introduction: Aproximately 33% of users between 12 and 16 years of age are at high risk for compulsive use of digital services; adolescents with a high body mass index may have a reduced prefrontal cortex and difficulty in inhibiting impulsive behavior and risk of develo- ping addiction. The objective of this study was to investigate whether there is an association between Internet addiction and the presence of overweight or obesity in adolescents.
Methods: Quantitative observational cross-sectional study. High school students, both sexes, between 15 and 18 years of age were included. A general data questionnaire and the Internet addiction test were administered, and they were weighed and measured to obtain the body mass index and to classify their weight level. Descriptive analysis was performed, Mann Whitney U, Pearson’s X2, and significance was considered with p less than .05.
Results: 284 adolescents were included, 160 females and 124 males, age between 15 and 18 years, 35.5% (101) presented some degree of overweight or obesity, 61.3% (174) reported waking up during sleep to check their cell phone, the average number of hours of sleep was 7 hours, and time spent on the Internet was 5 hours, females performed less physical activity than males (p.001); using the IAT scale, 52.2% (150), 35.2% (100) mild addiction and 12% (34) moderate addiction. No relationship was found between Internet addiction and the varia- bles studied.
Conclusions: We found no relationship between Internet addiction and the presence of overweight or obesity in adolescents.
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Referencias
Marti Nicolovius M. Effects of overweight and obesity on cognitive functions of children and adolescents. Rev Neurol [Internet]. 2022;75(3):59-65. doi: https://doi.org/10.33588/rn.7503.2022173.
Digital Future Society, Guadix I, Cuesta-Cano L, y Glores, J. Impacto del aumento del uso de internet y las redes sociales en la salud mental de jóvenes y adolescentes [Internet]. España: Policy Brief; octubre 2023 [consultado en mayo 2024]. Disponible en: www.ontsi.es/es/publi-/caciones/Impacto-del-uso-de-Internet-y-redes-sociales-salud-mental-jovenes-adolescentes.
Hill J, Bouvet de Korniejczuk R, Collins E. Adicción a internet en estudiantes universitarios mexicanos. Revista de Investigación Universitaria [Internet]. 2017;4(2):11-7. doi: https://doi.org/10.17162/riu.v4i2.
Álvarez-Portela D, Fernández-Castillo E. Propiedades psicométricas de la versión adaptada del Internet Addiction Test. Latin American Journal on Health & Social Psychology [Internet]. 2019;9(2):174-85. doi: https://doi.org/10.22199/issn.0718-7475-2019-02-007.
Shamah-Levy T, Gaona-Pineda E, Cuevas-Nasu L, Morales-Ruan C, Valenzuela-Bravo DG, Méndez-Gómez I, et al. Prevalencias de sobrepeso y obesidad en población escolar y adolescentes en México. Ensanut Continua 2020-2022. Salud Pública de México [Internet]. 2023;65(1):218-24. doi: https://doi.org/10.21149/14762.
National Institute on Alcohol Abuse and Alcoholism. The Cycle of Alcohol Addiction [Internet]. Estados Unidos de América: NIH; 2021. Disponible en: www.niaaa.nih.gov/publications/cycle-alcohol-addiction.
Ramírez-Toscano Y, Canto-Osorio F, Carnalla M, Colchero MA, Reynales-Shigematsu LM, Barrientos-Gutiérrez T, et al. Patrones de consumo de alcohol en adolescentes y adultos mexicanos: Ensanut Continua 2022. Salud Pública de México [Internet]. 2023;65(1):75-83. doi: https://doi.org/10.21149/14817.
Corvalán BM. El tabaquismo: una adicción. Rev. Chil. Enferm. Respir. [Internte]. 2017;33(3):186-9. doi: http://dx.doi.org/10.4067/s0717-73482017000300186.
Barrera-Nuñez D, López-Olmedo N, Zavala-Arciniega L, Barrientos-Gutiérrez I, y Reynales-Shigematsu LM. Consumo de tabaco y uso de cigarro electrónico en adolescentes y adultos mexicanos. Ensanut Continua 2022. Salud Pública de México [Internet]. 2023;65(1):65-74. doi: https://doi.org/10.21149/14830.
Matalí-Costa J, Pardo-Gallego V, Trenchs-Sainz V, Serrano-Troncoso E, Gabaldon-Fraile S, y Luaces-Cubells C. Consumo de drogas en adolescentes. Dilema ético en el abordaje diagnóstico-terapeútico. An Pediatr [Internet]. 2009;70(4):386-90. doi: 10.1016/j.anpedi.2008.12.006.
Instituto Nacional de Salud Pública. Actividad física y estilos de vida saludables [Internet]. México: síntesis; s. f. Disponible en: https://www.insp.mx/assets/documents/webinars/2021/CINYS_Actividad_fisica.pdf.
Medina C, Jáuregui A, Campos-Nonato I, Barquera S. Prevalencia y tendencias de actividad física en niños y adolescentes: resultados de Ensanut 2012 y Ensanut MC 2016. Salud Pública de México [Internet]. 2018;60(3). doi: https://doi.org/10.21149/8819.
Carrillo-Mora P, Ramírez-Peris J, Magaña-Vázquez K. Neurobiología del sueño y su importancia: antología para el estudiante universitario. Rev fac med [Internet]. 2013;56(4):5-15. doi: www.revistafacmed.com.
Asude-Rabia O, Kucukerdonmez O, Gulsah-Kaner. Sleep Quality and associated factors among adolescents. Rev Esp Nutr Hum Diet [Internet]. 2020;24(3):256-67. doi: www.renhyd.org/renhyd/article/view/1017.
Hernández-Borge J, García-González M, García-García M, Antona-Rodríguez MJ, Sanz-Cabrera A y Cordero-Montero P. Hábitos y trastornos del sueño en adolescentes. Rev Esp Patol Torac [Internet]. 2015;27(4):220-30. doi: www.rev-esp-patol-torac.com/ultimonumero.php?id=258.
Internet World Stats. Internet Usage Population in Central America [Internet] 2024. Disponible en: www.internetworldstats.com/stats12.htm.
Aznar-Díaz I, Kopecký K, Romero-Rodríguez J, Cácere-Reche MP, y Trujillo-Torres JM. Patologías asociadas al uso problemático de internet. Una revisión sistemática y metaanálisis en WoS y Scopus. Investigación Bibliotecología [Internet]. 2020;34(82):229-53. doi: http://dx.doi.org/10.22201/iibi.24488321xe.2020.82.58118.
Cheng C, Yee-Lam Li A. Internet Addiction Prevalence and Quality of (Real) Life: A Meta-Analysis of 31 Nations Across Seven World Regions. Cyberpsychology, Behavior, and Social Networking [Internet]. 2014;17(12):755-60. doi: https://doi.org/10.1089/cyber.2014.0317
Díaz-Cárdenas S, Arrieta-Vergara K, y Simancas-Pallares M. Adicción a internet y rendimiento académico de estudiantes de Odontología. Revista Colombiana de Psiquiatría [Internet]. 2019;48(4):198-207. doi: https://doi.org/10.1016/j.rcp.2018.03.002.
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