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Resumen
El objetivo del presente artículo es analizar las diferentes formas en que las tecnologías digitales afectan a la salud de los jóvenes. Para lograr esto, se realizó una revisión de la literatura siguiendo dos etapas. Fueron estudiadas 65 publicaciones científicas y procesadas en dos etapas sucesivas. En la primera, se procesaron 30 trabajos disponibles, de manera exclusiva, en la Base de Datos ScienceDirect y que evidenciaron una relación conceptual en el ámbito de la salud mental y el uso de las tecnologías digitales. En una segunda etapa, se trabajó solo con las fuentes que incluyen el tema de la COVID-19 y sus relaciones con la salud mental y el uso de las tecnologías digitales, en un contexto de aportaciones diferenciadas para el ámbito universitario. Mediante una síntesis que recoge el análisis de contenido temático de la literatura se exponen los siguientes resultados: 1) el uso de las tecnologías digitales provoca efectos positivo y negativos en los jóvenes, pero se manifiestan diferencias significativas en el número de publicaciones y los efectos descritos; 2) Durante la Pandemia se agudizan los problemas de salud mental en los jóvenes que utilizan las tecnologías por causas asociadas al confinamiento, ambientes de aprendizaje y las propias del miedo al contagio.
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Detalles del artículo
Referencias
- Ahmad, J., Hsiu, L., Kuo, M., Shahrun, N., Min, V., Pallath, C., Phoay, C., Hong, K…. Hoong, Ng. (2020). Teaching and learning of postgraduate medical physics using Internet-based e-learning during the COVID-19 pandemic – a case study from Malaysia. Physica Medica. http://dx.10.1016/j.ejmp.2020.10.002
- Alva De la Selva, A. R. (2015). Los nuevos rostros de la desigualdad en el siglo xxi: la brecha digital. Revista Mexicana de Ciencias Políticas y Sociales, 60(223), 265-285. http://dx.10.1016/S0185-1918(15)72138-0
- Aparicio, P., Perea, A. J., Martinez, M. P., Varo, I. S., & Vaquero, M. (2017). Social networks’ unnoticed influence on body image in Spanish university students. Telematics and Informatics, 34(8), 1685-1692. http://dx.10.1016/j.tele.2017.08.001
- Beaunoyer, E., Dupéré, S., & Guitton, M. (2020). COVID-19 and digital inequalities: Reciprocal impacts and mitigation strategies. Computers in Human Behavior, 111, 106424. http://dx.10.1016/j.chb.2020.106424
- Besser, A., Lotem, S., & Zeigler-Hill, V. (2020). Psychological Stress and Vocal Symptoms Among University Professors in Israel: Implications of the Shift to Online Synchronous Teaching During the COVID-19 Pandemic. Journal of Voice. http://dx.10.1016/j.jvoice.2020.05.028
- Bzdok, D., & Dunbar, R. (2020). The Neurobiology of Social Distance. Trends in Cognitive Sciences. http://dx.10.1016/j.tics.2020.05.016
- Calheiros, D., & Mendes, E. (2016). Consultoria colaborativa a distância em tecnologia assistiva para professores. Cad. Pesqui, 46(162), 1100-1123. http://dx.10.1590/198053143562
- Forman, C., & Zeebroeck, N. (2019). Digital technology adoption and knowledge flows within firms: Can the Internet overcome geographic and technological distance? Research Policy, 48(8), 103697. http://dx.10.1016/j.respol.2018.10.021
- Gulsecen, S., Sebnem, O., Murat, G., & Emre, A. (2015). The Good Reader of Digital World, Digital Natives: Are They Good Writer Also? Procedia - Social and Behavioral Sciences, 191, 2396-2401. http://dx.10.1016/j.sbspro.2015.04.444
- Gurgel, G. (2016). Rupturas paradigmáticas e novas interfaces entre educação e saúde. Caderno de Pesquisa, 46(162), 1172-1191. http://dx.10.1590/198053143528
- Al-hariri, M., & Al-hattami, A. (2017). Impact of students’ use of technology on their learning achievements in physiology courses at the University of Dammam. Journal of Taibah University Medical Sciences, Netherlan, 12 (1), 82-85. http://dx.0.1016/j.jtumed.2016.07.004
- Haider, H. S., & Al-Salman, S. (2020). Dataset of Jordanian University Students’ Psychological Health Impacted by Using E-learning Tools during COVID-19. Data in Brief, (34), 1-10. http://dx.10.1016/j.dib.2020.106104
- Hasan, N., & Bao, Y. (2020). Impact of “e-Learning crack-up” perception on psychological distress among college students during COVID-19 pandemic: A mediating role of “fear of academic year loss. Children and Youth Services Review, 118. http://dx.10.1016/j.childyouth.2020.10535
- Jenkins, E., Bungay, V., Patterson, A., Saewyc, E., & Johnson, J. (2018). Assessing the impacts and outcomes of youth driven mental health promotion: A mixed-methods assessment of the Social Networking Action for Resilience study. Journal of Adolescence, 67, 1-11. http://dx.10.1016/j.adolescence.2018.05.009
- Kaparounaki, C., Patsali, M., Mousa, D.-P., Papadopoulou, E., Papadopoulou, K., & Fountoulakis, K. (2020). University students’ mental health amidst the COVID-19 quarantine in Greece. Psychiatry Research, 290, 113111. http://dx.10.1016/j.psychres.2020.113111
- Kapasia, N., Paul, P., Roy, A., Saha, J., Zaveri, A., Mallick, R., Barman, B., Das, P.,… Chouhan, P. (2020). Impact of lockdown on learning status of undergraduate and postgraduate students during COVID-19 pandemic in West Bengal, India. Children and youth services review, 116, 105194. http://dx.10.1016/j.childyouth.2020.105194
- Kesharwani, A. (2020). Do (how) digital natives adopt a new technology differently than digital immigrants? A longitudinal study. Information & Management, 57(2), 103170. http://dx.10.1016/j.im.2019.103170
- Khan, A. H., Sultana, S., Hossain, S., Hasan, M. T., Ahmed, H. U., & Sikder, T. (2020). The impact of COVID-19 pandemic on mental health & wellbeing among home-quarantined Bangladeshi students: A cross-sectional pilot study. Journal of Affective Disorders. http://dx.10.1016/j.jad.2020.07.135
- Kim, J., Rapee, R., Oh, K., & Moon, H. S. (2018). Retrospective report of social withdrawal during adolescence and current maladjustment in young adulthood: Cross-cultural comparisons between Australian and South Korean students. Journal of Adolescence, 31(5), 543-563. doi: http://dx.10.1016/j.adolescence.2007.10.011.
- Koyama, Y., Fujiwara, T., Isumi, A., & Doi, S. (2020). Degree of influence in class modifies the association between social network diversity and well-being: results from a large population-based study in Japan. Social Science & Medicine, 113170. doi: http://dx.10.1016/j.socscimed.2020.113170
- Lissitsa, S., & Chachashvili-Bolotin, S. (2016). Life satisfaction in the internet age – Changes in the past decade. Computers in Human Behavior, 54, 197-206. doi: http://dx.10.1016/j.chb.2015.08.001
- Luo, Y., Deng, Y., & Zhang, H. (2020). The influences of parental emotional warmth on the association between perceived teacher–student relationships and academic stress among middle school students in China,. Children and Youth Services Review, 114, 105014. doi: http://dx.10.1016/j.childyouth.2020.105014
- Mishra, D. L., Gupta, D. T., & Shree, D. A. (2020). Online Teaching-Learning in Higher Education during Lockdown Period of COVID-19 Pandemic. International Journal of Educational Research Open, 100012. doi: http://dx.10.1016/j.ijedro.2020.100012
- Nabity-Grover, T., Christy, M. K., & Thatcher, J. (2020). Inside out and outside in: How the COVID-19 pandemic affects self-disclosure on social media. International Journal of Information Management, 55, 102188. http://dx.10.1016/j.ijinfomgt.2020.102188
- Ni, L., Yuan, Y., Wang, X., Zhang, M., & Zhang, J. (2018). A Location Privacy Preserving Scheme Based on Repartitioning Anonymous Region in Mobile Social Network. Procedia Computer Science, 129, 368-371. https://doi.org/10.1016/j.procs.2018.03.091
- Odriozola-González, P., Planchuelo-Gómez, Á., Irurtia, M. J., & de Luis García, R. (2020). Psychological effects of the COVID-19 outbreak and lockdown among students and workers of a Spanish university. Psychiatry Research, 290, 113108. http://dx.10.1016/j.psychres.2020.113108
- Oosterhoff, B., Palmer, C., Wilson, J., & Shook, N. (2020). Adolescents’ Motivations to Engage in Social Distancing During the COVID-19 Pandemic: Associations With Mental and Social Health. Journal of Adolescent Health. http://dx.10.1016/j.jadohealth.2020.05.004
- Orzech, K., Grandner, M., Roane, B., & Carskadon, M. (2016). Digital media use in the 2 h before bedtime is associated with sleep variables in university students. Computers in Human Behavior, 55, 43-50. http://dx.10.1016/j.chb.2015.08.049
- Peñalva, A., Leiva, J., & Zuazua, I. ( 2017). The Role of Adults in Children Digital Literacy. Procedia - Social and Behavioral Sciences, 23 (7), 887-892. http://dx.10.1016/j.sbspro.2017.02.124
- Rock, A., Barrington, C., Abdoulayi, S., Tsoka, M., Mvuls, P., & Handa, S. (2016). Social networks, social participation, and health among youth living in extreme poverty in rural Malawi. Social Science & Medicine, 170, 55-62. http://dx.10.1016/j.socscimed.2016.10.005
- Romero-Ruiz, K., Echeverri-Sánchez, L., Peña-Plata. J., Vásquez-Giraldo, S., Aguilera-Cardona, M., Herazo-Avendaño, C., Valencia-Arias, A., . . . Bran Piedrahita, L. (2017). Information and Communication Technologies Impact on Family Relationship. Procedia - Social and Behavioral Sciences, 237, 30-37. http://dx.10.1016/j.sbspro.2017.02.007
- Rivero, Y., Suárez, N., & Fernández, E. V. (2017). Promoción y educación para la salud en el contexto universitario ecuatoriano: desafíos y propuesta de desarrollo profesional. Revista Conrado, 14(61), 125- 132.
- Ryhtä, I., Elonen, I., Saaranen, T., Sormunen, M., Mikkonen, K., Kääriäinen, M., Koskinen, C., Koskinen, M.,…Salminen, L. (2020). Social and health care educators’ perceptions of competence in digital pedagogy: A qualitative descriptive study. Nurse Education Today, 104521. dhttp://dx.10.1016/j.nedt.2020.104521
- Rzymski, P., & Nowicki, M. (2020). COVID-19-related prejudice toward Asian medical students: A consequence of SARS-CoV-2 fears in Poland. Journal of Infection and Public Health, 12(6), 873-876. http://dx.10.1016/j.jiph.2020.04.013
- Saefi, M., Fauzi, A., Kristiana, E., Adi, W. C., Muchson, M., Setiawan, M. E., Islami, N. N., Ningrum, D. E. A,... Ramadhani, M. (2020). Survey data of COVID-19-related knowledge, attitude, and practices among indonesian undergraduate students. Data Brief. http://dx.10.1016/j.dib.2020.105855.
- Savitsky, B., Findling, Y., Ereli, A., & Hendel, T. (2020). Anxiety and coping strategies among nursing students during the covid-19 pandemic. Nurse Education in Practice, 102809. http://dx.10.1016/j.nepr.2020.102809
- Seo, Y., & Je, Y. (2018). Disturbed eating tendencies, health-related behaviors, and depressive symptoms among university students in Korea. Clinical Nutrition Experimental, 19, 23-31. https://doi.org/10.1016/j.yclnex.2018.02.001
- Spivey, C., Havrda, D., Stallworth, S., Renfro, C., & Chisholm-Burns, M. (2020). Longitudinal examination of perceived stress and academic performance of first-year student pharmacists. Currents in Pharmacy Teaching and Learning. http://dx.10.1016/j.cptl.2020.05.002
- Trung, T., Hoang, A. D., Nguyen, T., Dinh, V. H., Nguyen, Y. C., & Pham, H. H. (2020). Dataset of Vietnamese student’s learning habits during COVID-19. Data in Brief, 30. http://dx.10.1016/j.dib.2020.105682
- Van der Velden, P. G., Setti, I., van der Meulen, E., & Das, M. (2019). Does social networking sites use predict mental health and sleep problems when prior problems and loneliness are taken into account? A population-based prospective study. Computers in Human Behavior, 93, 200-209. http://dx.10.1016/j.chb.2018.11.047
- Vaterlaus, J., Patten, E., Roche, C., & Young, J. (2015). The perceived influence of social media on young adult health behaviors. Computers in Human Behavior, 45, 151-157. http://dx.10.1016/j.chb.2014.12.013
- Wang, H. Y., & Leif, C. C. (2018). Digital Nativity and Information Technology Addiction: Age cohort versus individual difference approaches. Computers in Human Behavior, 90, 1-9. http://dx.10.1016/j.chb.2018.08.031
- Wang, Y., Huang, Q., Davison, R., & Yang, F. (2020). Role stressors, job satisfaction, and employee creativity: The cross-level moderating role of social media use within teams. Information & Management, 103317. http://dx.10.1016/j.im.2020.103317
- Wang, Z. H., Yang, H. L., Yang, Y. Q., Liu, D., Li, Z. H., Zhang, X. R., Zhang, Y. J., Shen, D., . . . Mao, C. (2020). Prevalence of Anxiety and Depression symptom, and the Demands for Psychological Knowledge and Interventions in college students during COVID-19 epidemic: A large Cross-Sectional Study. Journal of Affective Disorders. http://dx.10.1016/j.jad.2020.06.034
- Wolfers, L., Festl, R., & Utz, S. (2020). Do smartphones and social network sites become more important when experiencing stress? Results from longitudinal data. Computers in Human Behavior, 109, 106339. http://dx.10.1016/j.chb.2020.106339
- Kend-Chieh, Y., & Po-Hong, S. (2020). Cognitive age in technology acceptance: At what age are people ready to adopt and continuously use fashionable products? Telematics and Informatics, 51, 101400. http://dx.10.1016/j.tele.2020.101400
- Yin, H., Han, J., & Perron, B. (2020). Why are Chinese university teachers (not) confident in their competence to teach? The relationships between faculty-perceived stress and self-efficacy. International Journal of Educational Research, 100, 101529. http://dx.10.1016/j.ijer.2019.101529
- Zhai, Y., & Du, X. (2020). Addressing collegiate mental health amid COVID-19 pandemic. Psychiatry Research, 288, 113003. http://dx.1
Referencias
Ahmad, J., Hsiu, L., Kuo, M., Shahrun, N., Min, V., Pallath, C., Phoay, C., Hong, K…. Hoong, Ng. (2020). Teaching and learning of postgraduate medical physics using Internet-based e-learning during the COVID-19 pandemic – a case study from Malaysia. Physica Medica. http://dx.10.1016/j.ejmp.2020.10.002
Alva De la Selva, A. R. (2015). Los nuevos rostros de la desigualdad en el siglo xxi: la brecha digital. Revista Mexicana de Ciencias Políticas y Sociales, 60(223), 265-285. http://dx.10.1016/S0185-1918(15)72138-0
Aparicio, P., Perea, A. J., Martinez, M. P., Varo, I. S., & Vaquero, M. (2017). Social networks’ unnoticed influence on body image in Spanish university students. Telematics and Informatics, 34(8), 1685-1692. http://dx.10.1016/j.tele.2017.08.001
Beaunoyer, E., Dupéré, S., & Guitton, M. (2020). COVID-19 and digital inequalities: Reciprocal impacts and mitigation strategies. Computers in Human Behavior, 111, 106424. http://dx.10.1016/j.chb.2020.106424
Besser, A., Lotem, S., & Zeigler-Hill, V. (2020). Psychological Stress and Vocal Symptoms Among University Professors in Israel: Implications of the Shift to Online Synchronous Teaching During the COVID-19 Pandemic. Journal of Voice. http://dx.10.1016/j.jvoice.2020.05.028
Bzdok, D., & Dunbar, R. (2020). The Neurobiology of Social Distance. Trends in Cognitive Sciences. http://dx.10.1016/j.tics.2020.05.016
Calheiros, D., & Mendes, E. (2016). Consultoria colaborativa a distância em tecnologia assistiva para professores. Cad. Pesqui, 46(162), 1100-1123. http://dx.10.1590/198053143562
Forman, C., & Zeebroeck, N. (2019). Digital technology adoption and knowledge flows within firms: Can the Internet overcome geographic and technological distance? Research Policy, 48(8), 103697. http://dx.10.1016/j.respol.2018.10.021
Gulsecen, S., Sebnem, O., Murat, G., & Emre, A. (2015). The Good Reader of Digital World, Digital Natives: Are They Good Writer Also? Procedia - Social and Behavioral Sciences, 191, 2396-2401. http://dx.10.1016/j.sbspro.2015.04.444
Gurgel, G. (2016). Rupturas paradigmáticas e novas interfaces entre educação e saúde. Caderno de Pesquisa, 46(162), 1172-1191. http://dx.10.1590/198053143528
Al-hariri, M., & Al-hattami, A. (2017). Impact of students’ use of technology on their learning achievements in physiology courses at the University of Dammam. Journal of Taibah University Medical Sciences, Netherlan, 12 (1), 82-85. http://dx.0.1016/j.jtumed.2016.07.004
Haider, H. S., & Al-Salman, S. (2020). Dataset of Jordanian University Students’ Psychological Health Impacted by Using E-learning Tools during COVID-19. Data in Brief, (34), 1-10. http://dx.10.1016/j.dib.2020.106104
Hasan, N., & Bao, Y. (2020). Impact of “e-Learning crack-up” perception on psychological distress among college students during COVID-19 pandemic: A mediating role of “fear of academic year loss. Children and Youth Services Review, 118. http://dx.10.1016/j.childyouth.2020.10535
Jenkins, E., Bungay, V., Patterson, A., Saewyc, E., & Johnson, J. (2018). Assessing the impacts and outcomes of youth driven mental health promotion: A mixed-methods assessment of the Social Networking Action for Resilience study. Journal of Adolescence, 67, 1-11. http://dx.10.1016/j.adolescence.2018.05.009
Kaparounaki, C., Patsali, M., Mousa, D.-P., Papadopoulou, E., Papadopoulou, K., & Fountoulakis, K. (2020). University students’ mental health amidst the COVID-19 quarantine in Greece. Psychiatry Research, 290, 113111. http://dx.10.1016/j.psychres.2020.113111
Kapasia, N., Paul, P., Roy, A., Saha, J., Zaveri, A., Mallick, R., Barman, B., Das, P.,… Chouhan, P. (2020). Impact of lockdown on learning status of undergraduate and postgraduate students during COVID-19 pandemic in West Bengal, India. Children and youth services review, 116, 105194. http://dx.10.1016/j.childyouth.2020.105194
Kesharwani, A. (2020). Do (how) digital natives adopt a new technology differently than digital immigrants? A longitudinal study. Information & Management, 57(2), 103170. http://dx.10.1016/j.im.2019.103170
Khan, A. H., Sultana, S., Hossain, S., Hasan, M. T., Ahmed, H. U., & Sikder, T. (2020). The impact of COVID-19 pandemic on mental health & wellbeing among home-quarantined Bangladeshi students: A cross-sectional pilot study. Journal of Affective Disorders. http://dx.10.1016/j.jad.2020.07.135
Kim, J., Rapee, R., Oh, K., & Moon, H. S. (2018). Retrospective report of social withdrawal during adolescence and current maladjustment in young adulthood: Cross-cultural comparisons between Australian and South Korean students. Journal of Adolescence, 31(5), 543-563. doi: http://dx.10.1016/j.adolescence.2007.10.011.
Koyama, Y., Fujiwara, T., Isumi, A., & Doi, S. (2020). Degree of influence in class modifies the association between social network diversity and well-being: results from a large population-based study in Japan. Social Science & Medicine, 113170. doi: http://dx.10.1016/j.socscimed.2020.113170
Lissitsa, S., & Chachashvili-Bolotin, S. (2016). Life satisfaction in the internet age – Changes in the past decade. Computers in Human Behavior, 54, 197-206. doi: http://dx.10.1016/j.chb.2015.08.001
Luo, Y., Deng, Y., & Zhang, H. (2020). The influences of parental emotional warmth on the association between perceived teacher–student relationships and academic stress among middle school students in China,. Children and Youth Services Review, 114, 105014. doi: http://dx.10.1016/j.childyouth.2020.105014
Mishra, D. L., Gupta, D. T., & Shree, D. A. (2020). Online Teaching-Learning in Higher Education during Lockdown Period of COVID-19 Pandemic. International Journal of Educational Research Open, 100012. doi: http://dx.10.1016/j.ijedro.2020.100012
Nabity-Grover, T., Christy, M. K., & Thatcher, J. (2020). Inside out and outside in: How the COVID-19 pandemic affects self-disclosure on social media. International Journal of Information Management, 55, 102188. http://dx.10.1016/j.ijinfomgt.2020.102188
Ni, L., Yuan, Y., Wang, X., Zhang, M., & Zhang, J. (2018). A Location Privacy Preserving Scheme Based on Repartitioning Anonymous Region in Mobile Social Network. Procedia Computer Science, 129, 368-371. https://doi.org/10.1016/j.procs.2018.03.091
Odriozola-González, P., Planchuelo-Gómez, Á., Irurtia, M. J., & de Luis García, R. (2020). Psychological effects of the COVID-19 outbreak and lockdown among students and workers of a Spanish university. Psychiatry Research, 290, 113108. http://dx.10.1016/j.psychres.2020.113108
Oosterhoff, B., Palmer, C., Wilson, J., & Shook, N. (2020). Adolescents’ Motivations to Engage in Social Distancing During the COVID-19 Pandemic: Associations With Mental and Social Health. Journal of Adolescent Health. http://dx.10.1016/j.jadohealth.2020.05.004
Orzech, K., Grandner, M., Roane, B., & Carskadon, M. (2016). Digital media use in the 2 h before bedtime is associated with sleep variables in university students. Computers in Human Behavior, 55, 43-50. http://dx.10.1016/j.chb.2015.08.049
Peñalva, A., Leiva, J., & Zuazua, I. ( 2017). The Role of Adults in Children Digital Literacy. Procedia - Social and Behavioral Sciences, 23 (7), 887-892. http://dx.10.1016/j.sbspro.2017.02.124
Rock, A., Barrington, C., Abdoulayi, S., Tsoka, M., Mvuls, P., & Handa, S. (2016). Social networks, social participation, and health among youth living in extreme poverty in rural Malawi. Social Science & Medicine, 170, 55-62. http://dx.10.1016/j.socscimed.2016.10.005
Romero-Ruiz, K., Echeverri-Sánchez, L., Peña-Plata. J., Vásquez-Giraldo, S., Aguilera-Cardona, M., Herazo-Avendaño, C., Valencia-Arias, A., . . . Bran Piedrahita, L. (2017). Information and Communication Technologies Impact on Family Relationship. Procedia - Social and Behavioral Sciences, 237, 30-37. http://dx.10.1016/j.sbspro.2017.02.007
Rivero, Y., Suárez, N., & Fernández, E. V. (2017). Promoción y educación para la salud en el contexto universitario ecuatoriano: desafíos y propuesta de desarrollo profesional. Revista Conrado, 14(61), 125- 132.
Ryhtä, I., Elonen, I., Saaranen, T., Sormunen, M., Mikkonen, K., Kääriäinen, M., Koskinen, C., Koskinen, M.,…Salminen, L. (2020). Social and health care educators’ perceptions of competence in digital pedagogy: A qualitative descriptive study. Nurse Education Today, 104521. dhttp://dx.10.1016/j.nedt.2020.104521
Rzymski, P., & Nowicki, M. (2020). COVID-19-related prejudice toward Asian medical students: A consequence of SARS-CoV-2 fears in Poland. Journal of Infection and Public Health, 12(6), 873-876. http://dx.10.1016/j.jiph.2020.04.013
Saefi, M., Fauzi, A., Kristiana, E., Adi, W. C., Muchson, M., Setiawan, M. E., Islami, N. N., Ningrum, D. E. A,... Ramadhani, M. (2020). Survey data of COVID-19-related knowledge, attitude, and practices among indonesian undergraduate students. Data Brief. http://dx.10.1016/j.dib.2020.105855.
Savitsky, B., Findling, Y., Ereli, A., & Hendel, T. (2020). Anxiety and coping strategies among nursing students during the covid-19 pandemic. Nurse Education in Practice, 102809. http://dx.10.1016/j.nepr.2020.102809
Seo, Y., & Je, Y. (2018). Disturbed eating tendencies, health-related behaviors, and depressive symptoms among university students in Korea. Clinical Nutrition Experimental, 19, 23-31. https://doi.org/10.1016/j.yclnex.2018.02.001
Spivey, C., Havrda, D., Stallworth, S., Renfro, C., & Chisholm-Burns, M. (2020). Longitudinal examination of perceived stress and academic performance of first-year student pharmacists. Currents in Pharmacy Teaching and Learning. http://dx.10.1016/j.cptl.2020.05.002
Trung, T., Hoang, A. D., Nguyen, T., Dinh, V. H., Nguyen, Y. C., & Pham, H. H. (2020). Dataset of Vietnamese student’s learning habits during COVID-19. Data in Brief, 30. http://dx.10.1016/j.dib.2020.105682
Van der Velden, P. G., Setti, I., van der Meulen, E., & Das, M. (2019). Does social networking sites use predict mental health and sleep problems when prior problems and loneliness are taken into account? A population-based prospective study. Computers in Human Behavior, 93, 200-209. http://dx.10.1016/j.chb.2018.11.047
Vaterlaus, J., Patten, E., Roche, C., & Young, J. (2015). The perceived influence of social media on young adult health behaviors. Computers in Human Behavior, 45, 151-157. http://dx.10.1016/j.chb.2014.12.013
Wang, H. Y., & Leif, C. C. (2018). Digital Nativity and Information Technology Addiction: Age cohort versus individual difference approaches. Computers in Human Behavior, 90, 1-9. http://dx.10.1016/j.chb.2018.08.031
Wang, Y., Huang, Q., Davison, R., & Yang, F. (2020). Role stressors, job satisfaction, and employee creativity: The cross-level moderating role of social media use within teams. Information & Management, 103317. http://dx.10.1016/j.im.2020.103317
Wang, Z. H., Yang, H. L., Yang, Y. Q., Liu, D., Li, Z. H., Zhang, X. R., Zhang, Y. J., Shen, D., . . . Mao, C. (2020). Prevalence of Anxiety and Depression symptom, and the Demands for Psychological Knowledge and Interventions in college students during COVID-19 epidemic: A large Cross-Sectional Study. Journal of Affective Disorders. http://dx.10.1016/j.jad.2020.06.034
Wolfers, L., Festl, R., & Utz, S. (2020). Do smartphones and social network sites become more important when experiencing stress? Results from longitudinal data. Computers in Human Behavior, 109, 106339. http://dx.10.1016/j.chb.2020.106339
Kend-Chieh, Y., & Po-Hong, S. (2020). Cognitive age in technology acceptance: At what age are people ready to adopt and continuously use fashionable products? Telematics and Informatics, 51, 101400. http://dx.10.1016/j.tele.2020.101400
Yin, H., Han, J., & Perron, B. (2020). Why are Chinese university teachers (not) confident in their competence to teach? The relationships between faculty-perceived stress and self-efficacy. International Journal of Educational Research, 100, 101529. http://dx.10.1016/j.ijer.2019.101529
Zhai, Y., & Du, X. (2020). Addressing collegiate mental health amid COVID-19 pandemic. Psychiatry Research, 288, 113003. http://dx.1