Vida digital

relações entre jovens e tecnologias

Autores/as

  • Enrickson Varsori Centro de Estudos de Comunicação e Sociedade - Universidade do Minho
  • Sara Pereira Centro de Estudos de Comunicação e Sociedade - Universidade do Minho

DOI:

https://doi.org/10.5007/1807-9288.2020v16n2p113

Resumen

A adesão às tecnologias é cada vez mais perceptível no quotidiano. De acordo com o Global Report 2020, o índice de penetração da Internet já ultrapassa os 60% ao redor do globo, e as médias de consumo de Internet já excedem às 6 horas diárias (KEMP, 2020). Tal aumento do consumo digital afeta diretamente as diversas atividades que compõem o dia a dia, principalmente no que refere às camadas juvenis, que passam mais tempo em frente aos ecrãs (KEMP, 2020). A literatura disponibilizada sobre as faixas geracionais mais novas revela que o acesso às diferentes tecnologias de hiperconexão influenciam de forma permanente o desenvolvimento saudável, nomeadamente pelo facto de a exposição ser continua e multissensorial (BLUM-ROSS; LIVINGSTONE, 2018; BUCKINGHAM, 2015), além das questões sobre identidade e saúde mental (CAROLUS et al., 2018; MATIN et al., 2017; PAULUS et al., 2019). A partir do levantamento de pesquisas científicas recentes, caracterizou-se as relações dos jovens (dos 4-25 anos) e o uso prolixo das tecnologias. Através da Revisão Sistemática da Literatura foram pré-selecionados 188 artigos científicos através da Plataforma SCOPUS, no período temporal entre 2007 a 2020. Neste sentido, foram examinados os métodos aplicados, as variáveis do estudo, tipo de amostra, país do estudo e resultados obtidos. Tal análise destaca os contributos científicos partilhados nos últimos treze anos, fornecendo pistas sobre o que foi efetivamente estudado e quais os caminhos que seguem na temática das sociabilidades juvenis e uso das tecnologias.

Biografía del autor/a

Enrickson Varsori, Centro de Estudos de Comunicação e Sociedade - Universidade do Minho

Possui licenciatura em Comunicação Social: Jornalismo pela Universidade Estadual de Londrina (2012) e mestrado em Comunicação Multimídia: Audiovisual Digital pela Universidade de Aveiro (2016). Doutorando em Ciências da Comunicação pela Universidade do Minho.

Sara Pereira, Centro de Estudos de Comunicação e Sociedade - Universidade do Minho

Doutorada em Estudos da Criança, em 2004, na Universidade do Minho, Sara Pereira é Professora Associada e Diretora do Departamento de Ciências da Comunicação do Instituto de Ciências Sociais da Universidade do Minho.

É, atualmente, Diretora de Departamento.

Desenvolve investigação sobre audiências, comunicação e cidadania e literacia para os media, que são igualmente as suas áreas de docência. Pertence à Sopcom, onde coordena o GT (Grupo de Trabalho) de Comunicação e Educação, bem como à IAMCR e ECREA.

Citas

ABDULLAHI, A. A.; ABDULQUADRI, N. T. New Media and Adolescents’ Sexual Behaviour in Sub-Sahara Africa: Linking Theories to Realities. SAGE Open, v. 8, n. 4, 2018.

ANGOORANI, P. et al. The association of parental obesity with physical activity and sedentary behaviors of their children: the CASPIAN-V study. Jornal de Pediatria, v. 94, n. 4, p. 410–418, 2018.

ASEEY, A. A.; ANDOLLO, A. A. Electronic Mobile Devices, Transformative Pedagogy and Learning: Higher Education and Changing Times in Kenya. Journal of Educational and Social Research, v. 9, n. 3, p. 54–61, 2019.

BERGAGNA, E.; TARTAGLIA, S. Self-esteem, social comparison, and facebook use. Europe’s Journal of Psychology, v. 14, n. 4, p. 831–845, 2018.

BLUM-ROSS, A.; LIVINGSTONE, S. The Trouble with “Screen Time” Rule. In: MASCHERONI, G.; PONTE, C.; JORGE, A. (Eds.). . Digital Parenting. The Challenges for Families in the Digital Age. Göteborg: Nordicom, 2018. p. 179–187.

BOYLAN, S. et al. Assessing junk food consumption among Australian children: trends and associated characteristics from a cross-sectional study. BMC Public Health, v. 17, n. 1, p. 1–9, 2017.

BUCKINGHAM, D. Defining digital literacy: What do young people need to know about digital media? In: Nordic Journal of Digital Literacy, Jubileumsnummer. [s.l.] Nordic Journal of Digital Literacy, 2015. p. 21–34.

BURMEISTER, C. P.; MOSKALIUK, J.; CRESS, U. Ubiquitous working: Do work versus non-work environments affect decision-making and concentration? Frontiers in Psychology, v. 9, n. MAR, p. 1–11, 2018.

CARBONELL, X. et al. Uso problemático de Internet y móvil en adolescentes y jóvenes Españoles. Anales de Psicologia, v. 28, n. 3, p. 789–796, 2012.

CAROLUS, A. et al. Smartphones as digital companions: Characterizing the relationship between users and their phones. New Media & Society, v. 0, n. 0, p. 1461444818817074, 2018.

CHA, E. M. et al. Effect of media use on adolescent body weight. Preventing Chronic Disease, v. 15, n. 11, p. 1–12, 2018.

CHRISTODOULOU, G. et al. Anhedonia, screen time, and substance use in early adolescents: A longitudinal mediation analysis. Journal of adolescence, v. 78, n. November 2019, p. 24–32, 2020.

ÇOLAK, H. The impact of daily habits on the physical activity levels of children aged 7-10: An investigation. Universal Journal of Educational Research, v. 7, n. 1, p. 118–125, 2019.

CONTINENTE, X. et al. Múltiples conductas de riesgo y exceso de peso en adolescentes de Barcelona, España. Gaceta Sanitaria, v. 31, n. 4, p. 332–335, 2017.

DA SILVA, A. O. et al. Tempo de tela, percepção da qualidade de sono e episódios de parassonia em adolescentes. Revista Brasileira de Medicina do Esporte, v. 23, n. 5, p. 375–379, 2017.

DA SILVA, K. S. et al. Associações entre atividade física, índice de massa corporal e comportamentos sedentários em adolescentes. Revista Brasileira de Epidemiologia, v. 11, n. 1, p. 159–168, 2008.

DALTON, W. T. et al. Health behaviors and health-related quality of life among middle school children in Southern Appalachia: Data from the winning with wellness project. Journal of Pediatric Psychology, v. 36, n. 6, p. 677–686, 2011.

DAM, G.; KAUFMANN, S. Computer assessment of interview data using latent semantic analysis. Behavior Research Methods, v. 40, n. 1, p. 8–20, 2008.

DE SOUSA, G. R.; SILVA, D. A. S. Comportamento sedentário em adolescentes de uma cidade de pequeno porte do sul do país. Medicina (Brazil), v. 49, n. 3, p. 212–222, 2016.

DE SOUSA, G. R.; SILVA, D. A. S. Comportamento sedentário baseado em tempo de tela: Prevalência e fatores sociodemográficos associados em adolescentes. Ciencia e Saude Coletiva, v. 22, n. 12, p. 4061–4072, 2017.

DOGGETT, A. et al. Examining the association between exposure to various screen time sedentary behaviours and cannabis use among youth in the COMPASS study. SSM - Population Health, v. 9, p. 100487, 2019.

EISENMANN, J. C. et al. Project FIT: Rationale, design and baseline characteristics of a school- and community-based intervention to address physical activity and healthy eating among low-income elementary school children. BMC Public Health, v. 11, 2011.

FALBE, J. et al. Sleep duration, restfulness, and screens in the sleep environment. Pediatrics, v. 135, n. 2, p. e367–e375, 2015.

FERREIRA, R. W. et al. Prevalence of sedentary behavior and its correlates among primary and secondary school students. Revista Paulista de Pediatria, v. 34, n. 1, p. 56–63, 2016.

GARCIA-CONTINENTE, X. et al. Factors associated with media use among adolescents: A multilevel approach. European Journal of Public Health, v. 24, n. 1, p. 5–10, 2013.

GARCIA, A. S. et al. Determinants of Physical Activity for Latino and White Middle School-Aged Children. Journal of School Health, v. 89, n. 1, p. 3–10, 2019.

GENTILE, D. A. et al. Protective effects of parental monitoring of children’s media use a prospective study. JAMA Pediatrics, v. 168, n. 5, p. 479–484, 2014.

GOPINATH, B. et al. Influence of physical activity and screen time on the retinal microvasculature in young children. Arteriosclerosis, Thrombosis, and Vascular Biology, v. 31, n. 5, p. 1233–1239, 2011.

GRECA, J. P. DE A.; SILVA, D. A. S.; LOCH, M. R. Atividade física e tempo de tela em jovens de uma cidade de médio porte do Sul do Brasil. Revista Paulista de Pediatria, v. 34, n. 3, p. 316–322, 2016.

HAIDAR, A. et al. Parental and peer social support is associated with healthier physical activity behaviors in adolescents: A cross-sectional analysis of Texas School Physical Activity and Nutrition (TX SPAN) data. BMC Public Health, v. 19, n. 1, p. 1–9, 2019.

HANKONEN, N. et al. What explains the socioeconomic status gap in activity? Educational differences in determinants of physical activity and screentime. BMC Public Health, v. 17, n. 1, p. 1–15, 2017.

HARDY, L. L. et al. Screen time and metabolic risk factors among adolescents. Archives of Pediatrics and Adolescent Medicine, v. 164, n. 7, p. 643–649, 2010.

HARMON, B. E. et al. Perceived influence and college students’ diet and physical activity behaviors: An examination of ego-centric social networks. BMC Public Health, v. 16, n. 1, p. 1–10, 2016.

HIDALGO-RASMUSSEN, C. A.; RAMÍREZ-LÓPEZ, G.; MARTÍN, A. H. S. Actividad física, conductas sedentarias y calidad de vida en adolescentes universitarios de Ciudad Guzmán, Jalisco, México. Ciencia e Saude Coletiva, v. 18, n. 7, p. 1943–1952, 2013.

HOARE, E. et al. Associations between combined overweight and obesity, lifestyle behavioural risk and quality of life among Australian regional school children: Baseline findings of the Goulburn Valley health behaviours monitoring study. Health and Quality of Life Outcomes, v. 17, n. 1, p. 1–10, 2019.

HOLSTEIN, B. E. et al. Perceived problems with computer gaming and internet use among adolescents: Measurement tool for non-clinical survey studies. BMC Public Health, v. 14, n. 1, 2014.

ISHII, K. et al. School grade and sex differences in domain-specific sedentary behaviors among Japanese elementary school children: A cross-sectional study. BMC Public Health, v. 17, n. 1, p. 1–8, 2017.

JIANG, X. X. et al. Recreational screen-time among chinese adolescents: A cross-sectional study. Journal of Epidemiology, v. 24, n. 5, p. 397–403, 2014.

KALIRATHINAM, D. et al. Association between screen time and body mass index among university students. Sci Med, v. 29, n. 3, p. 1–6, 2019.

KEMP, S. Digital 2020: global digital overview. New York: [s.n.].

KRIST, L. et al. Association of individual and neighbourhood socioeconomic status with physical activity and screen time in seventh-grade boys and girls in Berlin, Germany: A cross-sectional study. BMJ Open, v. 7, n. 12, p. 1–12, 2017.

KWONG, J. L. et al. Derivation of some contemporary scales to measure adolescent risk-taking in Canada. International Journal of Public Health, v. 63, n. 1, p. 137–147, 2018.

LANGØY, A. et al. Associations between family structure and young people’s physical activity and screen time behaviors. BMC Public Health, v. 19, n. 1, p. 1–10, 2019.

LAZZERI, G. et al. Clustering of health-related behaviors among early and mid-adolescents in Tuscany: Results from a representative cross-sectional study. Journal of Public Health (United Kingdom), v. 40, n. 1, p. e25–e33, 2018.

LIPOVETSKY, G.; SERROY, J. O ecrã global: cultura mediática e cinema na era hipermoderna. Lisboa: Edições 70, 2010.

LIU, M. et al. Screen time on school days and risks for psychiatric symptoms and self-harm in mainland Chinese adolescents. Frontiers in Psychology, v. 7, n. APR, p. 1–11, 2016.

LIVINGSTONE, S. et al. Global perspectives on children’s digital opportunities: An emerging research and policy agenda. Pediatrics, v. 140, n. November 2017, p. S137–S141, 2017.

LOPES, A. S. et al. Trends in screen time on week and weekend days in a representative sample of Southern Brazil students. Journal of Public Health (United Kingdom), v. 36, n. 4, p. 608–614, 2014.

LOWRY, R. et al. Associations of Physical Activity and Sedentary Behaviors with Dietary Behaviors among US High School Students. Journal of Obesity, v. 2015, 2015.

LUBANS, D. R. et al. Development and implementation of a smartphone application to promote physical activity and reduce screen-time in adolescent boys. Frontiers in Public Health, v. 2, n. MAY, p. 1–11, 2014.

MATIN, N. et al. Joint association of screen time and physical activity on self-rated health and life satisfaction in children and adolescents: The CASPIAN-IV study. International Health, v. 9, n. 1, p. 58–68, 2017.

MIHRSHAHI, S. et al. Associations between childhood overweight, obesity, abdominal obesity and obesogenic behaviors and practices in Australian homes. BMC Public Health, v. 18, n. 1, p. 1–10, 2017.

MONTAGNI, I.; GUICHARD, E.; KURTH, T. Association of screen time with self-perceived attention problems and hyperactivity levels in French students: A Cross-sectional study. BMJ Open, v. 6, n. 2, p. 1–8, 2016.

MORGENSTERN, M.; SARGENT, J. D.; HANEWINKEL, R. Relation between socioeconomic status and body mass index: Evidence of an indirect path via television use. Archives of Pediatrics and Adolescent Medicine, v. 163, n. 8, p. 731–738, 2009.

MOTAMED-GORJI, N. et al. Association of screen time and physical activity with health-related quality of life in Iranian children and adolescents. Health and Quality of Life Outcomes, v. 17, n. 1, p. 1–11, 2019.

MUNARO, H. L. R.; SILVA, D. A. S.; LOPES, A. D. S. Prevalence of excessive screen time and associated factors in a school from a city in the northeast of Brazil. Journal of Human Growth and Development, v. 26, n. 3, p. 360–367, 2016.

MUSHARRAF, S. et al. General and ICT self-efficacy in different participants roles in cyberbullying/victimization among Pakistani university students. Frontiers in Psychology, v. 10, n. MAY, p. 1–11, 2019.

O’BRIEN, B. A.; HABIB, M.; ONNIS, L. Technology-Based Tools for English Literacy Intervention: Examining Intervention Grain Size and Individual Differences. Frontiers in Psychology, v. 10, n. November, 2019.

ORGANIZATION, W. H. Guidelines on physical activity, sedentary behaviour and sleep for children under 5 years of age. [s.l.] World Health Organization, 2019.

OYU, M. et al. The impact of electronic devices on the physical growth and development of the modern youth and recommendations on their safe use. Bulletin of Russian State Medical University, v. 8, n. 4, p. 83–89, 2019.

PAIVA, T.; GASPAR, T.; MATOS, M. G. Mutual relations between sleep deprivation, sleep stealers and risk behaviours in adolescents. Sleep Science, v. 9, n. 1, p. 7–13, 2016.

PAULUS, M. P. et al. Screen media activity and brain structure in youth: Evidence for diverse structural correlation networks from the ABCD study. NeuroImage, v. 185, n. October 2018, p. 140–153, 2019.

PERRAULT, A. A. et al. Reducing the use of screen electronic devices in the evening is associated with improved sleep and daytime vigilance in adolescents. Sleep, v. 42, n. 9, p. 1–10, 2019.

PIOLA, T. S. et al. Impact of physical activity correlates in the isolated and combined presence of insufficient level of physical activity and high screen time among adolescents. Revista Paulista de Pediatria, v. 37, n. 2, p. 194–201, 2019.

POLÁKOVÁ, P.; KLÍMOVÁ, B. Mobile technology and generation Z in the English language classroom – A preliminary study. Education Sciences, v. 9, n. 3, p. 1–11, 2019.

RAMOS, D. K.; FRONZA, F. C. A. O.; CARDOSO, F. L. Jogos eletrônicos e funções executivas de universitários. Estudos de Psicologia (Campinas), v. 35, n. 2, p. 217–228, 2018.

RICHARDSON, A. et al. Study and life: How first year university students use their time. Student Success, v. 10, n. 1, p. 17–31, 2019.

ROGERS, V. W.; MOTYKA, E. 5-2-1-0 Goes to school: A pilot project testing the feasibility of schools adopting and delivering healthy messages during the school day. Pediatrics, v. 123, n. SUPPL. 5, 2009.

ROSEN, L. D. et al. The role of executive functioning and technological anxiety (FOMO) in college course performance as mediated by technology usage and multitasking habits. Psicologia Educativa, v. 24, n. 1, p. 14–25, 2018.

SAMPASA-KANYINGA, H.; HAMILTON, H. A.; CHAPUT, J. P. Use of social media is associated with short sleep duration in a dose–response manner in students aged 11 to 20 years. Acta Paediatrica, International Journal of Paediatrics, v. 107, n. 4, p. 694–700, 2018.

SANTOS, A. et al. Screen time between Portuguese and Brazilian children: A cross-cultural study. Motriz. Revista de Educacao Fisica, v. 23, n. 2, 2017.

SAQUIB, N. et al. Video game addiction and psychological distress among expatriate adolescents in Saudi Arabia. Addictive Behaviors Reports, v. 6, n. September, p. 112–117, 2017.

SILVA, A. G. et al. Tipo e quantidade de atividade física e uso de dispositivos eletrónicos de estudantes do 7.° ao 12.° ano: caracterização e associação. Revista Portuguesa de Saude Publica, v. 34, n. 3, p. 236–243, 2016.

SILVA, A. G. et al. Pain, pain intensity and pain disability in high school students are differently associated with physical activity, screening hours and sleep. BMC Musculoskeletal Disorders, v. 18, n. 1, p. 1–11, 2017.

STACY, S. T. et al. Addressing the math-practice gap in elementary school: Are tablets a feasible tool for informal math practice? Frontiers in Psychology, v. 8, n. FEB, p. 1–12, 2017.

STRAATMANN, V. S. et al. Changes in physical activity and screen time related to psychological well-being in early adolescence: Findings from longitudinal study ELANA. BMC Public Health, v. 16, n. 1, p. 1–11, 2016.

TAMBALIS, K. D. et al. Insufficient Sleep Duration Is Associated With Dietary Habits, Screen Time, and Obesity in Children. Journal of Clinical Sleep Medicine, v. 14, n. 10, p. 1689–1696, 2018.

TAO, S. et al. Factors Related to Longitudinal Patterns of Multiple Health Behaviors in Chinese Freshmen. SAGE Open, v. 9, n. 4, 2019.

TAVARES, V. DOS S.; DE MELO, R. B. Possibilities for formal and informal learning in the digital era: What does the digital native youth think? Psicologia Escolar e Educacional, v. 23, 2019.

TONG, L.; YE, Y.; YAN, Q. The moderating roles of bedtime activities and anxiety/depression in the relationship between attention-deficit/hyperactivity disorder symptoms and sleep problems in children. BMC Psychiatry, v. 18, n. 1, p. 1–12, 2018.

VARSORI, E. Os dispositivos-ecrã no quotidiano dos jovens portugueses: a mediação-ecrã no uso social do tempo. [s.l.] Universidade de Aveiro, 2016.

VARSORI, E.; PEREIRA, S. A Critical Review of Social Screen Time Management by Youngsters in Formal Educational Contexts. In: OLIVEIRA, L. (Ed.). . Managing Screen Time in an Online Society. Aveiro: IGI Global, 2019. p. 172–191.

VIDAL-CONTI, J. Identificación de predictores de actividad física en escolares según el modelo socio-ecológico mediante un análisis multifactorial. Cultura, Ciencia y Deporte, v. 11, n. 31, p. 51–59, 2016.

WANG, H. et al. Prevalence of high screen time and associated factors among students: A cross-sectional study in Zhejiang, China. BMJ Open, v. 8, n. 6, p. 9–12, 2018.

WINTHER, A. et al. Leisure time computer use and adolescent bone health-findings from the Tromsø Study, Fit Futures: A cross-sectional study. BMJ Open, v. 5, n. 6, p. 1–9, 2015.

YE, S. et al. Correlates of screen time among 8-19-year-old students in China. BMC Public Health, v. 18, n. 1, p. 1–7, 2018.

ZHU, Z. et al. Physical activity, screen viewing time, and overweight/obesity among Chinese children and adolescents: An update from the 2017 physical activity and fitness in China - The youth study. BMC Public Health, v. 19, n. 1, p. 1–8, 2019.

ZINK, J. et al. Reciprocal associations between screen time and emotional disorder symptoms during adolescence. Preventive Medicine Reports, v. 13, n. January, p. 281–288, 2019.

Publicado

2020-12-22