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    المصدر: Revista Ciencia y Cuidado; Vol. 21 No. 1: Enero - Abril 2024 ; Revista Ciencia y Cuidado; Vol. 21 Núm. 1: Enero - Abril 2024 ; Revista Ciencia y Cuidado; v. 21 n. 1: Enero - Abril 2024 ; 2322-7028 ; 1794-9831

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Rossignol AM, Morse EP, Summers VM, Pagnotto LD. Video display terminal use and reported health symptoms among Massachusetts clerical workers. J Occup Med. 1987 Feb;29(2):112–8. 9. Wolkoff P, Nojgaard J, Troiano P, Piccoli B. Eye complaints in the office environment: precorneal tear film integrity influenced by eye blinking efficiency. Occup Environ Med. 2005 Jan;62(1):4–12. 10. Rosenfield M. Computer vision syndrome: a review of ocular causes and potential treatments. Ophthalmic Physiol Opt. 2011 Sep;31(5):502–15. 11. Wimalasundera S. Computer vision syndrome. Galle Medical Journal. 2009 Sep 28;11(1):25–9. 12. Blehm C, Vishnu S, Khattak A, Mitra S, Yee RW. Computer Vision Syndrome: A Review. Survey of Ophthalmology. 2005 May 1;50(3):253–62. 13. Charpe NA, Kaushik V. Computer Vision Syndrome (CVS): Recognition and Control in Software Professionals. Journal of Human Ecology. 2009 Oct 1;28(1):67–9. 14. Mn M, S GC, Jr MM. Computer eyestrain. Bol Asoc Med P R. 1989 Apr 1;81(4):137–8. 15. Tamez González S, Ortiz-Hernández L, Martínez-Alcántara S, Méndez-Ramírez I. Riesgos y daños a la salud derivados del uso de videoterminal. Salud Pública de México. 2003 Jun;45(3):171–80. 16. Taptagaporn S, Saito S. Visual comfort in VDT operation: physiological resting states of the eye. Ind Health. 1993;31(1):13–28. 17. Dessie A, Adane F, Nega A, Wami SD, Chercos DH. Computer Vision Syndrome and Associated Factors among Computer Users in Debre Tabor Town, Northwest Ethiopia. J Environ Public Health [Internet]. 2018 Sep 16 [cited 2020 Feb 9];2018. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6165611Test/ 18. Sánchez-Brau M, Domenech-Amigot B, Brocal-Fernández F, Quesada-Rico JA, Seguí-Crespo M. Prevalence of Computer Vision Syndrome and Its Relationship with Ergonomic and Individual Factors in Presbyopic VDT Workers Using Progressive Addition Lenses. International journal of environmental research and public health. 2020;17(3). 19. Cantó-Sancho N, Sánchez-Brau M, Ivorra-Soler B, Seguí-Crespo M. Computer vision syndrome prevalence according to individual and video display terminal exposure characteristics in Spanish university students. Int J Clin Pract. 2021 Mar;75(3):e13681. 20. Artime Ríos EM, Sánchez Lasheras F, Suarez Sánchez A, Iglesias-Rodríguez FJ, Seguí Crespo MDM. Prediction of Computer Vision Syndrome in Health Personnel by Means of Genetic Algorithms and Binary Regression Trees. Sensors (Basel). 2019 Jun 22;19(12). 21. Tauste Francés A, Ronda-Pérez E, Molina-Torres MJ, Seguí-Crespo M. Effect of contact lens use on Computer Vision Syndrome. 2016 Mar [cited 2020 Jun 17]; Available from: http://rua.ua.es/dspace/handle/10045/62610Test 22. Seguí MDM, Cabrero-García J, Crespo A, Verdú J, Ronda E. A reliable and valid questionnaire was developed to measure computer vision syndrome at the workplace. Journal of Clinical Epidemiology. 2015;68(6):662–73. 23. Munshi S, Varghese A, Dhar-Munshi S. Computer vision syndrome-A common cause of unexplained visual symptoms in the modern era. Int J Clin Pract. 2017 Jul;71(7). 24. Singh S, McGuinness MB, Anderson AJ, Downie LE. Interventions for the management of computer vision syndrome: a systematic review and meta-analysis. Ophthalmology. 2022 May 18;S0161-6420(22)00361-X. 25. Rivera-Porras D, Bonilla-Cruz NJ, Carrillo-Sierra SM, Forgiony-Santos J, Silva-Monsalve G. Educación para la salud laboral: Perspectivas teóricas desde la intervención. Archivos Venezolanos de Farmacología y Terapéutica. 2019;38(5):412. 26. Arroyo HV, Cerqueira MT. La promoción de la salud y la educación para la salud en América Latina: un análisis sectorial. Editorial de la Universida de Puerto Rico; 1997. 352 p. 27. Ministerio de Salud y Protección Social de de Colombia, Subdirección de Enfermedades No Transmisibles de Colombia. Lineamiento operativo para la promoción de un entorno laboral formal saludable [Internet]. 2018. Available from: https://www.minsalud.gov.co/sites/rid/Lists/BibliotecaDigital/RIDE/VS/PP/ENT/entorno-laboral-saludable-2018.pdfTest 28. Rodríguez V. Conociendo sobre revisiones sistemáticas. Rev Arch Col Med. 2008;64–8. 29. Samnani SS, Vaska M, Ahmed S, Turin TC. Review Typology: The Basic Types of Reviews for Synthesizing Evidence for the Purpose of Knowledge Translation. 2017;27:8. 30. Preferred reporting items for systematic reviews and, meta-analyses. PRISMA [Internet]. [cited 2020 Feb 19]. Available from: http://www.prisma-statement.orgTest/ 31. Arias JAC, Gutiérrez LFH, Osorio LAR. Ejecución de revisiones sistemáticas y metaanálisis. En Revisiones sistemáticas de la literatura científica: la investigación teórica como principio para el desarrollo de la ciencia básica y aplicada [Internet]. Ediciones Universidad Cooperativa de Colombia. Ediciones Universidad Cooperativa de Colombia; 2016 [cited 2022 Jul 26]. Available from: https://ediciones.ucc.edu.co/index.php/ucc/catalog/book/24Test 32. Bolderston A. Writing an Effective Literature Review. Journal of Medical Imaging and Radiation Sciences. 2008 Jun 1;39(2):86–92. 33. Morales Asencio JM, Gonzalo Jiménez E, Martín Santos FJ, Morilla Herrera JC. Salud pública basada en la evidencia: Recursos sobre la efectividad de intervenciones en la comunidad. Revista Española de Salud Pública. 2008 Feb;82(1):05–20. 34. Schlosser R, O’Neil-Pirozzi T. E Problem Formulation in Evidence-based Practice and Systematic Reviews. 2006 [cited 2020 Oct 22]; Available from: /paper/E-Problem-Formulation-in-Evidence-based-Practice-Schlosser-O%E2%80%99Neil-Pirozzi/b0ce30a046ccdcaf9548c863c4acc15dbb0113f2 35. Olarte J. ¿Cómo consultar bases de datos? Revista Colombiana de Cardiología. 2014 Nov;21(6):359–63. 36. Zhang H, Babar MA, Tell P. Identifying relevant studies in software engineering. Information and Software Technology. 2011 Jun 1;53(6):625–37. 37. Moher D, Liberati A, Tetzlaff J, Altman DG, Group TP. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLOS Medicine. 2009 Jul 21;6(7):e1000097. 38. Arshad S, Khan A, Pal DK, Melwani V, Verma S, Sawlani H. Prevalence of asthenopia among computer operators in Central India and effectiveness of educational intervention. International Journal Of Community Medicine And Public Health. 2019 Apr 27;6(5):2091–4. 39. Alghamdi WM, Alrasheed SH. Impact of an educational intervention using the 20/20/20 rule on Computer Vision Syndrome. African Vision and Eye Health. 2020 Sep 23;79(1):6. 40. Aegerter AM, Deforth M, Johnston V, Ernst MJ, Volken T, Luomajoki H, et al. On-site multi-component intervention to improve productivity and reduce the economic and personal burden of neck pain in Swiss office-workers (NEXpro): protocol for a cluster-randomized controlled trial. BMC Musculoskeletal Disorders. 2020 Jun 19;21(1):391. 41. Anggrainy P, Lubis RR, Ashar T. The effect of trick intervention 20-20-20 on computer vision syndrome incidence in computer workers. Oftalmologicheskii Zhurnal. 2020;(1):22–7. 42. Rajendraprasad RM, Kwatra G, Batra N. Carboxymethyl Cellulose versus Hydroxypropyl Methylcellulose Tear Substitutes for Dry Eye Due to Computer Vision Syndrome: Comparison of Efficacy and Safety. Int J Appl Basic Med Res. 2021 Mar;11(1):4–8. 43. Hwang Y, Shin D, Eun J, Suh B, Lee J. Design Guidelines of a Computer-Based Intervention for Computer Vision Syndrome: Focus Group Study and Real-World Deployment. J Med Internet Res. 2021 Mar 29;23(3):e22099. 44. Othman A, Shaari N, Yusoff YM. Digital Healthy Lifestyle Application for UUM Computer User. International Journal of Interactive Mobile Technologies (iJIM). 2021 Mar 30;15(06):77–90. 45. Heydarabadi AB, Latifi SM, Karami K, Arastoo AA, Ghatfan F. Effect of Educational Intervention Based on the Extended Parallel Process Model on the Adoption of Behaviors Preventing Physical Injuries from Working with Computers among Female Employees. J Educ Community Health. 2021 Sep 30;8(3):173–9. 46. Mohan Kumar BK, Thiruvalluvan GT, Arjunan MK. Effectiveness on knowledge about computer vision syndrome among medical coding trainee in medical coding training institute in urban Chennai, Tamil Nadu - A cross- sectional study. J Family Med Prim Care. 2021 Jan;10(1):228–31. 47. Del Mar Seguí-Crespo M, Ronda-Pérez E, Yammouni R, Arroyo Sanz R, Evans BJW. Randomised controlled trial of an accommodative support lens designed for computer users. Ophthalmic and Physiological Optics. 2022;42(1):82–93. 48. Barkhordarzadeh S, Choobineh A, Razeghi M, Cousins R, Mokarami H. Effects of an ergonomic intervention program based on the PRECEDE-PROCEED model for reducing work-related health problems and exposure risks among emergency medical dispatchers. Int Arch Occup Environ Health. 2022 Aug;95(6):1389–99. 49. Agudelo-Londoño SM. Reflexión sobre la evaluación de impacto en eSalud. «No todo lo que brilla es oro». Trilogía Ciencia Tecnología Sociedad. 2020 Jan 31;12(22):103–26. 50. Van Velsen L, Beaujean DJ, van Gemert-Pijnen JE. Why mobile health app overload drives us crazy, and how to restore the sanity. BMC Medical Informatics and Decision Making. 2013 Feb 11;13(1):23. 51. Lewis T, Boissaud-Cooke M, Aungst T, Eysenbach G. Consensus on Use of the Term “App” Versus “Application” for Reporting of mHealth Research. Journal of medical Internet research. 2014 Jul 17;16:e174. 52. Mira Solves JJ, Llinás Santacreu G, Lorenzo Martínez S, Aibar Remón C. Uso de internet por médicos de primaria y hospitales y percepción de cómo influye en su relación con los pacientes. Aten Primaria. 2009 Jun;41(6):308–14. 53. Weiner JP, Yeh S, Blumenthal D. The Impact Of Health Information Technology And e-Health On The Future Demand For Physician Services. Health Affairs. 2013 Nov;32(11):1998–2004. 54. Sánchez Rodríguez MT, Collado Vázquez S, Martín Casas P, Cano de la Cuerda R. Apps en neurorrehabilitación. Una revisión sistemática de aplicaciones móviles. Neurología. 2018 Jun 1;33(5):313–26. 55. Han S, Yang S, Kim J, Gerla M. EyeGuardian: a framework of eye tracking and blink detection for mobile device users. In: Proceedings of the Twelfth Workshop on Mobile Computing Systems & Applications [Internet]. New York, NY, USA: Association for Computing Machinery; 2012 [cited 2022 Aug 15]. p. 1–6. (HotMobile ’12). Available from: https://doi.org/10.1145/2162081.2162090Test 56. Miluzzo E, Wang T, Campbell AT. EyePhone: activating mobile phones with your eyes. In: Proceedings of the second ACM SIGCOMM workshop on Networking, systems, and applications on mobile handhelds [Internet]. New York, NY, USA: Association for Computing Machinery; 2010 [cited 2022 Aug 15]. p. 15–20. (MobiHeld ’10). Available from: https://doi.org/10.1145/1851322.1851328Test 57. Trutoiu LC, Carter EJ, Matthews I, Hodgins JK. Modeling and animating eye blinks. ACM Trans Appl Percept. 2011 Aug 29;8(3):17:1-17:17. 58. Ho J, Pointner R, Shih HC, Lin YC, Chen HY, Tseng WL, et al. EyeProtector: Encouraging a Healthy Viewing Distance when Using Smartphones. In: Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services [Internet]. New York, NY, USA: Association for Computing Machinery; 2015 [cited 2022 Aug 15]. p. 77–85. (MobileHCI ’15). Available from: https://doi.org/10.1145/2785830.2785836Test 59. Rosenfield M. Computer vision syndrome (a.k.a. digital eye strain). Optometry in practice. 2016 Jan 1;17:1–10. 60. Hamui-Sutton A, Varela-Ruiz M. La técnica de grupos focales. Inv Ed Med. 2013 Jan 1;2(5):55–60. 61. Espinosa-Ríos EA, González-López KD, Hernández-Ramírez LT. Las prácticas de laboratorio: una estrategia didáctica en la construcción de conocimiento científico escolar. Entramado. 2016;12(1):266–81. 62. Alexander JC, Joshi GP. Smartphone applications for chronic pain management: a critical appraisal. J Pain Res. 2016;9:731–4. 63. Losada SG, García MÁT. Las estrategias didácticas en la práctica docente universitaria. Profesorado, Revista de Currículum y Formación del Profesorado. 2018 Jun 1;22(2):371–88. 64. Troncoso-Pantoja CA, Díaz-Aedo F, Amaya-Placencia JP, Pincheira-Aguilera S, Troncoso-Pantoja CA, Díaz-Aedo F, et al. Elaboración de videos didácticos: un espacio para el aprendizaje activo. FEM: Revista de la Fundación Educación Médica. 2019;22(2):91–2. 65. Krishna S, Boren SA, Balas EA. Healthcare via cell phones: a systematic review. Telemed J E Health. 2009 Apr;15(3):231–40. 66. Déglise C, Suggs LS, Odermatt P. Short message service (SMS) applications for disease prevention in developing countries. J Med Internet Res. 2012 Jan 12;14(1):e3. 67. Déglise C, Suggs LS, Odermatt P. SMS for disease control in developing countries: a systematic review of mobile health applications. J Telemed Telecare. 2012 Jul;18(5):273–81. 68. Gore TD, Bracken CC. Testing the theoretical design of a health risk message: reexamining the major tenets of the extended parallel process model. Health Educ Behav. 2005 Feb;32(1):27–41. 69. Medrano Martínez V, Callejo-Domínguez JM, Beltrán-lasco I, Pérez-Carmona N, Abellán-Miralles I, González-Caballero G, et al. Folletos de información educativa en migraña: satisfacción percibida en un grupode pacientes. Neurología. 2015 Oct 1;30(8):472–8. 70. Carenini G, Mittal VO, Moore JD. Generating patient-specific interactive natural language explanations. Proc Annu Symp Comput Appl Med Care. 1994;5–9. 71. Min C, Lee E, Park S, Kang S. Tiger: Wearable Glasses for the 20-20-20 Rule to Alleviate Computer Vision Syndrome. In: Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services [Internet]. New York, NY, USA: Association for Computing Machinery; 2019 [cited 2022 Aug 14]. p. 1–11. (MobileHCI ’19). Available from: https://doi.org/10.1145/3338286.3340117Test; https://revistas.ufps.edu.co/index.php/cienciaycuidado/article/view/4015Test

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    المؤلفون: Landa Guerra, Guillermo

    المصدر: Revista de la Facultad de Medicina Humana; Vol. 23 No. 4 (2023): Revista de la Facultad de Medicina Humana; 92 - 99 ; Revista de la Facultad de Medicina Humana; Vol. 23 Núm. 4 (2023): Revista de la Facultad de Medicina Humana; 92 - 99 ; 2308-0531 ; 1814-5469

    جغرافية الموضوع: Perú. https://orcid.org/0000-0002-7086Test

    الوقت: COVER PAGE: TIitle: Concordance between 2 questionaries for the diagnosis of digital eye strain in university students in Peru Título: Concordância entre 2 pesquisas para o diagnóstico de fadiga visual digital em estudantes universitários de Perú. Cient, Concordancia entre dos encuestas para el diagnóstico de Fatiga visual digital en estudiantes de una universidad en Perú Nombre científico: Landa G.1 1 Facultad de Medicina Humana, Universidad de Piura. Lima, Perú. https://orcid.org/0000-0002-7086Test-

    وصف الملف: text/html; application/pdf

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