Bienestar digital y salud mental en contextos emergentes: estudio cuantitativo con datos sintéticos de estilos de vida digitales
DOI:
https://doi.org/10.61347/ei.v5i1.240Palabras clave:
Bienestar digital, calidad del sueño, dependencia digital, salud mental, uso de dispositivosResumen
El uso intensivo de dispositivos digitales representa un fenómeno global emergente con potenciales consecuencias para la salud mental, particularmente en regiones como Sudamérica, donde la penetración tecnológica aumenta rápidamente y carece de marcos regulatorios adecuados. El objetivo del presente estudio fue examinar las asociaciones entre patrones de uso digital (horas de uso de dispositivos, dependencia digital, tiempo en redes sociales) y la salud mental (ansiedad, depresión, estrés, felicidad y concentración) en población sudamericana, identificar perfiles de riesgo y evaluar el rol mediador de la calidad del sueño. Se realizó un estudio transversal exploratorio con datos sintéticos modelados (n = 425) provenientes de un conjunto de datos público de Kaggle, representativo de población sudamericana; se aplicaron análisis correlacionales de Spearman, regresión lineal múltiple, análisis de conglomerados mediante K-means y pruebas U de Mann-Whitney con cálculo de tamaños de efecto. Los resultados revelaron correlaciones muy fuertes entre las horas de uso del dispositivo y la depresión (r = 0.802, p < .001), así como entre la dependencia digital y la depresión (r = 0.719, p < .001). El modelo de regresión múltiple explicó el 68.4 % de la varianza en depresión (R² = 0.684, p < .001), identificando como predictores significativos las horas de uso del dispositivo (β = 1.176, p < .001) y la calidad del sueño (β = −0.967, p < .001). Los datos sintéticos sugieren asociaciones fuertes entre el uso digital intensivo y síntomas depresivos en población sudamericana modelada, con la calidad del sueño actuando como posible mediador crítico; estos hallazgos exploratorios requieren validación mediante datos empíricos reales antes de formular recomendaciones clínicas, pero fundamentan hipótesis sobre la necesidad de intervenciones preventivas orientadas a la higiene del sueño digital y a patrones de uso equilibrados.
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Battistotti, B., Savoy, L., Acuña, K., Flahault, A., & Hasselgard-Rowe, J. (2025). Barriers and facilitators for implementing digital interventions for anxiety and depression in Latin America: A scoping review. International Journal of Environmental Research and Public Health, 22(4), 628. https://doi.org/10.3390/ijerph22040628
Boers, E., Afzali, M., Newton, N., & Conrod, P. (2019). Association of screen time and depression in adolescence. JAMA Pediatrics, 173(9), 853–859. https://doi.org/10.1001/jamapediatrics.2019.1759
Brand, M., Wegmann, E., Stark, R., Müller, A., Wölfling, K., Robbins, T., & Potenza, M. (2019). The Interaction of Person-Affect-Cognition-Execution (I-PACE) model for addictive behaviors: Update, generalization to addictive behaviors beyond internet-use disorders, and specification of the process character of addictive behaviors. Neuroscience & Biobehavioral Reviews, 104, 1–10. https://doi.org/10.1016/j.neubiorev.2019.06.032
Cai, Z., Mao, P., Wang, Z., Zhu, J., Wu, J., Li, Y., & Liu, X. (2023). Associations between problematic internet use and mental health outcomes of students: A meta-analytic review. Adolescent Research Review, 8, 45–62. https://doi.org/10.1007/s40894-022-00201-9
Chang, A., Aeschbach, D., Duffy, J., & Czeisler, C. (2015). Evening use of light-emitting eReaders negatively affects sleep, circadian timing, and next-morning alertness. Proceedings of the National Academy of Sciences, 112(4), 1232–1237. https://doi.org/10.1073/pnas.1418490112
Comisión Económica para América Latina y el Caribe (CEPAL). (2024). Brechas de conectividad como factor de exclusión. Observatorio regional de desarrollo digital. https://desarrollodigital.cepal.org
Copaja-Corzo, C., Aragón-Ayala, C., & Taype-Rondan, A. (2022). Nomophobia and its associated factors in Peruvian medical students. International Journal of Environmental Research and Public Health, 19(9), 5006. https://doi.org/10.3390/ijerph19095006
Díaz-Cuesta, J., & Concheiro-Guisán, A. (2024). Exposición prolongada a la televisión en niños y adolescentes: efectos sobre la salud y estrategias de protección. Revista Española de Salud Pública, 98. https://scielo.isciii.es/scielo.php?script=sci_arttext&pid=S1135-57272024000100502
Eirich, R., McArthur, B., Anhorn, C., McGuinness, C., Christakis, D., & Madigan, S. (2022). Association of screen time with internalizing and externalizing behavior problems in children 12 years or younger: A systematic review and meta-analysis. JAMA Psychiatry, 79(5), 393–405. https://doi.org/10.1001/jamapsychiatry.2022.0155
El Emam, K., Mosquera, L., Fang, X., & El-Hussuna, A. (2024). An evaluation of the replicability of analyses using synthetic health data. Scientific Reports, 14, 6978. https://doi.org/10.1038/s41598-024-57207-7
Elhai, J., Dvorak, R., Levine, J., & Hall, B. (2017). Problematic smartphone use: A conceptual overview and systematic review of relations with anxiety and depression psychopathology. Journal of Affective Disorders, 207, 251–259. https://doi.org/10.1016/j.jad.2016.08.030
Elhai, J., Yang, H., Fang, J., Bai, X., & Hall, B. (2020). Depression and anxiety symptoms are related to problematic smartphone use severity in Chinese young adults: Fear of missing out as a mediator. Addictive Behaviors, 101, 105962. https://doi.org/10.1016/j.addbeh.2019.04.020
Franciscquini, M., Silva, T., Santos, G., Barbosa, R., Dias, P., Ruiz, A., Silva, J., & Stabelini, A. (2024). Associations of screen time with symptoms of stress, anxiety, and depression in adolescents. Revista Paulista de Pediatria, 43, e2023250. https://pubmed.ncbi.nlm.nih.gov/39258642/
Freeman, D., Sheaves, B., Goodwin, G., Yu, L., Nickless, A., Harrison, P., Emsley, R., Luik, A., Foster, R., Wadekar, V., Hinds, C., Gumley, A., Jones, R., Lightman, S., Jones, S., Bentall, R., Kinderman, P., Rowse, G., Brugha, T., ... Espie, C. (2017). The effects of improving sleep on mental health (OASIS): A randomised controlled trial with mediation analysis. The Lancet Psychiatry, 4(10), 749–758. https://doi.org/10.1016/S2215-0366(17)30328-0
Giuffrè, M., & Shung, D. (2023). Harnessing the power of synthetic data in healthcare: Innovation, application, and privacy. npj Digital Medicine, 6, 186. https://doi.org/10.1038/s41746-023-00927-3
Godard, R., & Holtzman, S. (2024). Are active and passive social media use related to mental health, wellbeing, and social support outcomes? A meta-analysis of 141 studies. Journal of Computer-Mediated Communication, 29(1), zmad055. https://doi.org/10.1093/jcmc/zmad055
Goldstein, A., & Walker, M. (2014). The role of sleep in emotional brain function. Annual Review of Clinical Psychology, 10, 679–708. https://doi.org/10.1146/annurev-clinpsy-032813-153716
Gonzales, A., Guruswamy, G., & Smith, S. (2023). Synthetic data in health care: A narrative review. PLOS Digital Health, 2(1), e0000082. https://doi.org/10.1371/journal.pdig.0000082
Grund, S., Lüdtke, O., & Robitzsch, A. (2024). Using synthetic data to improve the reproducibility of statistical results in psychological research. Psychological Methods, 29(4), 789–806. https://doi.org/10.1037/met0000526
GSMA. (2024). The mobile economy Latin America 2024. https://www.gsma.com/solutions-and-impact/connectivity-for-good/mobile-economy/latam-2024/
Hale, L., & Guan, S. (2015). Screen time and sleep among school-aged children and adolescents: A systematic literature review. Sleep Medicine Reviews, 21, 50–58. https://doi.org/10.1016/j.smrv.2014.07.007
Hartstein, L., Mathew, G., Reichenberger, D., Rodriguez, I., Allen, N., Chang, A., Chaput, J., Christakis, D., Garrison, M., Gooley, J., Koos, J., Van Den Bulck, J., Woods, H., Zeitzer, J., Dzierzewski, J., & Hale, L. (2024). The impact of screen use on sleep health across the lifespan: A National Sleep Foundation consensus statement. Sleep Health, 10(4), 373–384. https://doi.org/10.1016/j.sleh.2024.05.001
Huh, I., & Gim, J. (2025). Exploration of Likert scale in terms of continuous variable with parametric statistical methods. BMC Medical Research Methodology, 25, 218. https://doi.org/10.1186/s12874-025-02668-1
Irwin, M., Carrillo, C., Sadeghi, N., Bjurstrom, M., Breen, E., & Olmstead, R. (2022). Prevention of incident and recurrent major depression in older adults with insomnia: A randomized clinical trial. JAMA Psychiatry, 79(1), 33–41. https://doi.org/10.1001/jamapsychiatry.2021.3422
Krause, A., Simon, E., Mander, B., Greer, S., Saletin, J., Goldstein-Piekarski, A., & Walker, M. (2017). The sleep-deprived human brain. Nature Reviews Neuroscience, 18(7), 404–418. https://doi.org/10.1038/nrn.2017.55
Kubrusly, M., Silva, P., Vasconcelos, G., Leite, E., Santos, P., & Rocha, H. (2021). Nomophobia among medical students and its association with depression, anxiety, stress and academic performance. Revista Brasileira de Educação Médica, 45(3), e162. https://doi.org/10.1590/1981-5271v45.3-20200493.ING
Li, L., Zhang, Q., Zhu, L., Zeng, G., Huang, H., Zhuge, J., Kuang, X., Yang, S., Yang, D., Chen, Z., Gan, Y., Lu, Z., & Wu, C. (2022). Screen time and depression risk: A meta-analysis of cohort studies. Frontiers in Psychiatry, 13, 1058572. https://doi.org/10.3389/fpsyt.2022.1058572
Li, X., Buxton, O., Lee, S., Chang, A., Berger, L., & Hale, L. (2019). Sleep mediates the association between adolescent screen time and depressive symptoms. Sleep Medicine, 57, 51–60. https://doi.org/10.1016/j.sleep.2019.01.029
Madigan, S., Eirich, R., Pador, P., McArthur, B., & Neville, R. (2022). Assessment of changes in child and adolescent screen time during the COVID-19 pandemic: A systematic review and meta-analysis. JAMA Pediatrics, 176(12), 1188. https://doi.org/10.1001/jamapediatrics.2022.4116
Montag, C., Wegmann, E., Sariyska, R., Demetrovics, Z., & Brand, M. (2021). How to overcome taxonomical problems in the study of Internet use disorders and what to do with 'smartphone addiction'? Journal of Behavioral Addictions, 9(4), 908–914. https://doi.org/10.1556/2006.8.2019.59
Norman, G. (2010). Likert scales, levels of measurement and the 'laws' of statistics. Advances in Health Sciences Education, 15(5), 625–632. https://doi.org/10.1007/s10459-010-9222-y
Office of the Surgeon General. (2023). Social media and youth mental health: The U.S. Surgeon General’s advisory. U.S. Department of Health and Human Services. https://www.ncbi.nlm.nih.gov/books/NBK594759
Orben, A., & Przybylski, A. (2019). The association between adolescent well-being and digital technology use. Nature Human Behaviour, 3(2), 173–182. https://doi.org/10.1038/s41562-018-0506-1
Palmer, C., Bower, J., Cho, K., Clementi, M., Lau, S., Oosterhoff, B., & Alfano, C. (2024). Sleep loss and emotion: A systematic review and meta-analysis of over 50 years of experimental research. Psychological Bulletin, 150(4), 440–463. https://doi.org/10.1037/bul0000410
Parry, D., Davidson, B., Sewall, C., Fisher, J., Mieczkowski, H., & Quintana, D. (2021). A systematic review and meta-analysis of discrepancies between logged and self-reported digital media use. Nature Human Behaviour, 5, 1535–1547. https://doi.org/10.1038/s41562-021-01117-5
Pedersen, J., Rasmussen, M., Sørensen, S., Mortensen, S., Olesen, L., Brage, S., Kristensen, P., Puterman, E., & Grøntved, A. (2022). Effects of limiting digital screen use on well-being, mood, and biomarkers of stress in adults. npj Mental Health Research, 1(1), 14. https://doi.org/10.1038/s44184-022-00015-6
Pilgram, L., Ko, H., Tung, A. y El Emam, K. (2025). Protecting patient privacy in tabular synthetic health data: a regulatory perspective. npj Digital Medicine, 8, 732. https://doi.org/10.1038/s41746-025-02112-0
Quintana, D. (2020). A synthetic dataset primer for the biobehavioural sciences to promote reproducibility and hypothesis generation. eLife, 9, e53275. https://doi.org/10.7554/eLife.53275
Sanders, T., Noetel, M., Parker, P., del Pozo, B., Biddle, S., Ronto, R., Hulteen, R., Parker, R., Thomas, G., de Cocker, K., Salmon, J., Hesketh, K., Weeks, N., Arnott, H., Devine, E., Vasconcellos, R., Pagano, R., Sherson, J., Conigrave, J., & Lonsdale, C. (2024). An umbrella review of the benefits and risks associated with youths' interactions with electronic screens. Nature Human Behaviour, 8(1), 82–99. https://doi.org/10.1038/s41562-023-01712-8
Santos, R., Mendes, C., Bressani, G., Ventura, S., Nogueira, Y., Miranda, D. & Romano-Silva, M. (2022). The influence of screen time on child developmental outcomes: A systematic review. Jornal de Pediatria, 98(2), 123–137. https://doi.org/10.1016/j.jped.2021.09.001
Shannon, H., Bush, K., Villeneuve, P., Hellemans, K., & Guimond, S. (2022). Problematic social media use in adolescents and young adults: Systematic review and meta-analysis. JMIR Mental Health, 9(4), e33450. https://doi.org/10.2196/33450
Sohn, S., Rees, P., Wildridge, B., Kalk, N., & Carter, B. (2019). Prevalence of problematic smartphone usage and associated mental health outcomes amongst children and young people: A systematic review, meta-analysis and GRADE of the evidence. BMC Psychiatry, 19(1), 356. https://doi.org/10.1186/s12888-019-2350-x
Sullivan, G., & Artino, A. (2013). Analyzing and interpreting data from Likert-type scales. Journal of Graduate Medical Education, 5(4), 541–542. https://doi.org/10.4300/JGME-5-4-18
Susser, D., Schiff, D., Gerke, S., Cabrera, L., Cohen, I., Doerr, M., Harrod, J., Kostick-Quenet, K., McNealy, J., Meyer, M., Price, W., & Wagner, J. (2024). Synthetic health data: Real ethical promise and peril. Hastings Center Report, 54(5), 8–13. https://doi.org/10.1002/hast.4911
Tang, S., Werner-Seidler, A., Torok, M., Mackinnon, A., & Christensen, H. (2021). The relationship between screen time and mental health in young people: A systematic review of longitudinal studies. Clinical Psychology Review, 86, 102021. https://doi.org/10.1016/j.cpr.2021.102021
Tuco, K., Arrazola-David, M., Zegarra-Valdivia, J., Castañeda-Altamirano, D., & Soriano-Moreno, D. (2023). Prevalence of nomophobia in university students: A systematic review and meta-analysis. Healthcare Informatics Research, 29(1), 40–50. https://doi.org/10.4258/hir.2023.29.1.40
Valkenburg, P., van Driel, I., & Beyens, I. (2021). The associations of active and passive social media use with well-being: A critical scoping review. New Media & Society, 24(2), 530–549. https://doi.org/10.1177/14614448211065425
Vasconcellos, R., Sanders, T., Lonsdale, C., Parker, P., Conigrave, J., Tang, S., del Pozo, B., Biddle, S. H., Taylor, R., Innes-Hughes, C., Salmela-Aro, K., Vasconcellos, D., Wilhite, K., Tremaine, E., Booker, B., & Noetel, M. (2025). Electronic screen use and children's socioemotional problems: A systematic review and meta-analysis of longitudinal studies. Psychological Bulletin, 151(5), 513–543. https://doi.org/10.1037/bul0000468
Verduyn, P., Gugushvili, N., & Kross, E. (2021). Do social networking sites influence well-being? The extended active-passive model. Current Directions in Psychological Science, 31(1), 62–68. https://doi.org/10.1177/09637214211053637
Verduyn, P., Lee, D. S., Park, J., Shablack, H., Orvell, A., Bayer, J., Ybarra, O., Jonides, J., & Kross, E. (2015). Passive Facebook usage undermines affective well-being: Experimental and longitudinal evidence. Journal of Experimental Psychology: General, 144(2), 480–488. https://doi.org/10.1037/xge0000057
von Elm, E., Altman, D., Egger, M., Pocock, S., Gøtzsche, P., & Vandenbroucke, J. (2014). The strengthening the reporting of observational studies in epidemiology (STROBE) statement: Guidelines for reporting observational studies. International Journal of Surgery, 12(12), 1495–1499. https://doi.org/10.1016/j.ijsu.2014.07.013
Wang, X., & Cheng, Z. (2020). Cross-sectional studies: Strengths, weaknesses, and recommendations. Chest, 158(1), S65–S71. https://doi.org/10.1016/j.chest.2020.03.012
We Are Social & Meltwater. (2024). Digital 2024: Global overview report. DataReportal. https://datareportal.com/reports/digital-2024-global-overview-report
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Derechos de autor 2026 Alexandra Valeria Villagómez-Cabezas, José Napoleón Páez Escobar, Dayana Cristina Villarreal Meza, Lizbeth Carolina Sanunga Guananga
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.
