Smartphone Use Associated with Refractive Error in Teenagers

Enthoven, Clair A.; Polling, Jan Roelof; Verzijden, Timo; Tideman, J. Willem L.; Al-Jaffar, Nora; Jansen, Pauline W.; Raat, Hein; Metz, Lauwerens; Verhoeven, Virginie J M; Klaver, Caroline C W

doi:10.1016/j.ophtha.2021.06.016

Cited by 34 publications

(32 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Em uma pesquisa transversal de base populacional, realizada através de questionários preenchidos por participantes de 12 a 35 anos, foi revelado que os respondentes usavam seus dispositivos eletrônicos por mais de 5horas/dia, e que possivelmente isso estaria relacionado a alta prevalência de miopia e astigmatismo entre eles (BARROS et al, 2021). Em uma pesquisa parecida, realizada entres adolescentes holandeses de 12 a 16 anos, verificou-se que eles passavam quase 4horas/dia em seus smartphones e que episódios de contínuo foram associados a mais erros refrativos míopes (ENTHOVEN et al, 2021). Além disso, um estudo prospectivo observacional, iniciado no ano de 2000 e realizado com participantes de 16 e 17 anos, associou a atividade física por mais de 3horas/semana a uma redução de 40% nas chances de miopia, e o uso de dispositivos de tela por mais de 6horas/dia ao dobro de chances de adquirir o erro refrativo em graus leves (HANSEN et al, 2020).…”

Section: Discussionunclassified

Relação entre o excesso de exposição às telas e o aumento no número de casos de Miopia

Mattos¹,

Saturnino²,

Amâncio³

2023

Braz. J. Hea. Rev.

View full text Add to dashboard Cite

A miopia é um erro refrativo que prejudica a visão para objetos distantes. Isso acontece devido ao aumento no diâmetro do globo ocular e à consequente formação da imagem à frente da retina. A ocorrência da miopia tem aumentado consideravelmente em todo o mundo e tem sido bastante associada à fatores ambientais, como excesso de exposição às telas e falta de atividades ao ar livre. Sendo assim, o presente estudo objetivou revisar a literatura dos últimos cinco anos acerca da veracidade dessa associação. Para isso, utilizou-se da estratégia PICO e definiu-se a seguinte questão central que orientou o estudo: “ Existe relação entre o excesso de uso de telas e a epidemia de miopia? ” Nela, observa-se o P: população míope; I: uso te telas; C: -; O: uso de telas influenciando no aumento de casos de miopia. O levantamento bibliográfico foi realizado nas seguintes bases de dados: Biblioteca Virtual de Saúde (BVS), Scientif Eletronic Library Online (SciELO), National Library of Medicine (PubMed), EbscoHost e Google Scholar. Os descritores utilizados foram: miopia, epidemia, uso de telas, myopia e use of screens. No total, foram selecionados 20 artigos para a construção da revisão. Dessa forma, encontrou-se um grande número de artigos que concordaram que o uso excessivo de telas é fator de risco para a miopia, mas isso não foi unanimidade. Já a atividade ao ar livre foi dita como fator protetor para o erro refrativo em todos os estudos analisados. Portanto, conclui-se que a exposição excessiva aos dispositivos eletrônicos e a falta de tempo a céu aberto devem ser evitadas para que se possa ter uma redução nos níveis globais de miopia. Ademais, evidencia-se a importância da conscientização populacional acerca dessa temática.

show abstract

Section: Discussionunclassified

Relação entre o excesso de exposição às telas e o aumento no número de casos de Miopia

Mattos¹,

Saturnino²,

Amâncio³

2023

Braz. J. Hea. Rev.

View full text Add to dashboard Cite

show abstract

“…Moreover, compared with primary and middle school students, high school students had less exercise time, more sedentary time, and worse mental health as a result of the higher requirements for study ( 50 , 51 ), which could weaken the relationship between PSU and BP. So far, the majority of literature only use screen time to explore the association between the use of electronic devices and adolescents' health ( 32 , 52 ). However, increasing researchers argued that researchers should not only focus on screen time when exploring the health impact of the use of electronic devices for adolescents ( 53 , 54 ).…”

Section: Discussionmentioning

confidence: 99%

The associations between problematic smartphone use and blood pressure among 2,573 aged 9–17 years students in Shanghai, China

Lan

et al. 2022

Front. Public Health

View full text Add to dashboard Cite

ObjectivesThis study aimed to (1) examine the cross-sectional association between problematic smartphone use (PSU) and blood pressure (BP) in children and adolescents and (2) determine whether the association between PSU and BP differs by the grade of students.MethodsWe recruited a total of 2,573 participants from 14 schools in Shanghai by a two-stage sampling method. We derived BP data from the participant's most recent medical examination data, including systolic blood pressure (SBP) and diastolic blood pressure (DBP). We measured PSU by a modified PSU Classification Scale. We also assessed demographic characteristics, body mass index, behavioral variables, and physiological characteristics.ResultsHigh school students had higher BP and PSU scores than primary and middle school students. PSU on the dimension of information collection was associated positively with both SBP and DBP among primary and middle school students, with the β (95% CI) values of 0.282 (0.018, 0.546) and 0.229 (0.031, 0.427). Meanwhile, the dimension of the relationship of social network was associated positively with SBP among primary and middle school students, with a β (95% CI) value of 0.390 (0.062, 0.717). PSU on the dimension of information collection was positively associated with the development of high BP, with a OR (95% CI) value of 1.072 (1.011, 1.137) among primary and middle school students.ConclusionsPSU might be a potential correlate of high BP among school-age children and adolescents. The associations between PSU and BP differed by the grade of students as well as according to the four dimensions of PSU.

show abstract

“…In 2014, the survey results showed that the ametropia of students in Beijing was significantly related to lower level activities ( 37 ). In 2021, Dutch researchers surveyed 525 teenagers' smartphone use, which also showed that refractive errors were significantly correlated with behaviors ( 38 ). Orlansky's findings suggest that poor vision affects a wide range of areas, such as reading, writing, posture, and movement, which may increase the likelihood of bad behavior in adolescents with poor vision ( 39 ).…”

Section: Discussionmentioning

confidence: 99%

A Latent Class Analysis of Student Eye Care Behavior: Evidence From a Sample of 6–17 Years Old in China

Wang²,

Zhu³

et al. 2022

Front. Public Health

View full text Add to dashboard Cite

PurposeTo understand the latent classes and distribution of an adolescent eye care behavior, and to provide a basis for the formulation of appropriate adolescent vision health management interventions.MethodsInformation on eye behavior and eye health of primary and secondary school students in Wuhan was collected by multistage stratified cluster sampling. The latent class analysis (LCA) method was used to analyze the students' eye care behavior, and the latent class model (LCM) was built.ResultsA total of 6,130 students were enrolled in this study, of which 53.56% were males, aged from 6 to 17 years old, with an average age of 10.33 ± 2.60. The latent class results classified the adolescents' eye care behaviors into bad behaviors, moderate behaviors, and healthy behaviors. The model fitting results were as follows: Akaike Information Criterion (AIC) was 36,698.216, Bayesian Information Criterion (BIC) was 36,906.565, Adjusted Bayesian Information Criterion (aBIC) was 36,808.056, and entropy was 0.838.Compared with the healthy behaviors class, the bad behaviors class was more prevalent in high schools (p = 0.003), non-demonstration schools (p = 0.001), and most of this group had astigmatism (p = 0.002). The moderate behaviors class predominately consisted of females (p = 0.001), 15–17 years old (p = 0.005, 6~8 years old as the reference), from non-demonstration schools (p < 0.001), and most had myopia (p = 0.009).ConclusionThere were differences in basic demographic characteristics, visual acuity development level, and family visual environment among different classes. In the management and intervention of an adolescent vision health, we should continue to promote the visual health management of adolescents based on visual monitoring and realize the early intervention and guidance of individuals in bad behaviors class.

show abstract

Smartphone Use Associated with Refractive Error in Teenagers

Cited by 34 publications

References 35 publications

Relação entre o excesso de exposição às telas e o aumento no número de casos de Miopia

Relação entre o excesso de exposição às telas e o aumento no número de casos de Miopia

The associations between problematic smartphone use and blood pressure among 2,573 aged 9–17 years students in Shanghai, China

A Latent Class Analysis of Student Eye Care Behavior: Evidence From a Sample of 6–17 Years Old in China

Contact Info

Product

Resources

About