Prevalence of vision impairment and refractive error in school children in <scp>B</scp>a <scp>R</scp>ia – <scp>V</scp>ung <scp>T</scp>au province, <scp>V</scp>ietnam

Paudel, Prakash; Ramson, Prasidh; Naduvilath, Thomas; Wilson, David A.; Phuong, Ha Thanh; Ho, Suit May; Giap, Nguyen Viet

doi:10.1111/ceo.12273

Cited by 99 publications

(113 citation statements)

References 39 publications

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“…In older children the association emerged, with children aged 5–15 years old showing a positive association between prevalent myopia and h/week playing computer, video or mobile games (OR = 4.5, 95% CI 2.33, 8.98; p < 0.001 for 1–4 h/week; OR = 8.1, 95% CI 4.05, 16.2; p < 0.001 for > 4 h/week) . Similar results were observed in children ( n = 2238) aged 12–15 years old with h/week of using computers being associated with prevalent myopia (OR = 1.02, 95% CI 1.00, 1.04; p = 0.022) …”

Section: Resultsmentioning

confidence: 84%

“…Although we found no significant association between screen time and myopia in the meta‐analysis, these results are not convincing evidence of the link between digital devices and myopia, due to the low number of studies included. In the review results we found that the more recent studies seem to show a trend of association that might be related with the increase in screen time for the more recent years. However, this is expected given the introduction and rise in screen time in children, and this trend should be critically evaluated as educational near work may now be primarily screen time in origin instead of traditional "paper and pen” with a substitution effect.…”

Section: Discussionmentioning

confidence: 99%

“…The majority of the studies included in this review published in 2014 and above show positive associations (five out of seven studies; Figure ). Positive associations where reported in children (aged 5–16 years) from Vietnam in 2014, India in 2015 and 2017 and China in 2016 and 2019 …”

Section: Discussionmentioning

confidence: 99%

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The association between digital screen time and myopia: A systematic review

Lança

Saw

2020

Ophthalmic Physiologic Optic

176

146

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Purpose Digital screen time has been cited as a potential modifiable environmental risk factor that can increase myopia risk. However, associations between screen time and myopia have not been consistently reported. Although myopia prevalence increased before the massive use of digital devices in some countries, with the rise being influenced by education, there may be an added recent effect of screen time. The aim of this systematic review is to determine the association between screen time and the risk of developing (1) prevalent or incident myopia, or (2) the risk of myopia progression in children. Published manuscripts were identified in PubMed, ScienceDirect and the Cochrane Library, and citation lists were reviewed. Recent findings Fifteen studies were included (nine cross‐sectional and six cohort studies) with a total of 49 789 children aged between 3 and 19 years old. Seven studies found an association between screen time and myopia. The results showed mixed evidence with the more recent studies exposing a trend of association between hours spent by children using screens and myopia. Meta‐analysis using a random‐effects model was performed in five studies (n = 20 889) that reported odds ratio (OR). The I2 statistics was used to assess heterogeneity. A pooled OR of 1.02 (95% CI: 0.96–1.08; p = 0.48) suggests that screen time is not associated with prevalent and incident myopia in this group of five studies. Summary The results for screen time and myopia are mixed. Further studies with objective screen time measurements are necessary to assess evidence of an association between screen time and myopia.

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Section: Resultsmentioning

confidence: 84%

Section: Discussionmentioning

confidence: 99%

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The association between digital screen time and myopia: A systematic review

Lança

Saw

2020

Ophthalmic Physiologic Optic

176

146

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“…Esto difiere con estudios similares realizados en poblaciones de Asia (China y Arabia Saudí), que señalan que la agudeza visual baja incrementa conforme avanza la edad de los niños 15,16 . Asimismo, no se encontró una diferencia estadística entre la 18 . No se encontraron estudios con poblaciones similares a la nuestra para comparar los resultados hallados según la variación de la edad, lo que deja abierta la posibilidad a realizar mayor cantidad de investigación y con mayor número de poblaciones.…”

Section: Discussionunclassified

Factores socio-educativos asociados a la agudeza visual baja en escolares de Perú

Chumacero

Solano

Vilela-Estrada

et al. 2015

Rev Pediatr Aten Primaria

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Social-educative factors associated with low visual acuity at a national school in PeruIntroducción: para que los estudiantes puedan adquirir el conocimiento adecuadamente, deben tener una correcta salud física y mental. Se realizó un estudio para determinar los factores socioeducativos asociados a la agudeza visual baja en escolares de educación primaria del Colegio Nacional de San Pedro (Piura, Perú). Material y métodos: mediante un estudio transversal analítico que incluyó a estudiantes de Educación Primaria. La variable principal fue la agudeza visual baja, considerando así a los que tenían valores mayores a 20/25 según la evaluación con la cartilla de Snellen. Se obtuvieron los valores p, las razones de prevalencia y sus intervalos de confianza al 95% mediante los modelos lineales generalizados. Resultados: en total se evaluaron 599 estudiantes, el 17% (99) mostraron agudeza visual baja. El sexo no estaba relacionado con la agudeza visual baja (p=0,832). Al aumentar la edad se observó que los niños que tuvieron entre 8-10 y 11-15 años tuvieron un 46% (p=0,005) y un 68% (p<0,001) menos de prevalencia de agudeza visual baja, respectivamente, en comparación con los de 5-7 años. Conforme fue aumentando el grado académico hubo menos prevalencia de agudeza visual baja. Conclusiones: se concluye que uno de cada seis estudiantes tuvo una discapacidad visual y se asoció a su edad y grado académico. Esto los hace más propensos a problemas en sus calificaciones, que puede repercutir para el resto de su vida. Esto debe ser tomado en cuenta por las instituciones que vigilen la correcta educación de los menores.Introduction: it is important for students to have a good physical and mental health in order to acquire the knowledge properly. A study was conducted to determine the socio-educational factors associated with low visual acuity in primary school children from the National College of San Pedro-Piura. Material and methods: a cross-sectional analytical study involving 655 primary school students was conducted. The principal variable was low visual acuity, considered in those with values greater than 20/25, as assessed with the Snellen chart. P values, prevalence ratios and 95% confidence intervals were obtained using generalized linear models. Data were analyzed using STATA version 10.0. Results: a total of 599 students were evaluated, 17% (99) had low visual acuity. Sex was not related to the low visual acuity (p=0.832). As age increased, it was found that children who were between 8-10 and 11-15 years old had 46% (p=0.005) and 68% (p<0.001) less prevalence of low visual acuity, respectively, compared to the children who were 5-7 years old. Conclusions: it is concluded that one in six students had a visual disability associated with their age and grade level. This makes them more prone to problems in their grades, which may have implications for the rest of their lives. This should be taken into account by the institutions to monitor the proper education of children.

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“…[1][2][3] The people with visual impairment in the world estimated to 285 million, out of which 39 million blind and 246 million having low vision. 4,5 As per National Program for Control of Blindness (NPCB) the prevalence of avoidable blindness in India was 1.1% in 2001 -2002, which has reduced to 1% in 2006-07.…”

Section: Introductionmentioning

confidence: 99%

Prevalence and pattern of ocular morbidity and factors influencing ocular morbidity in a rural population in south India: a community based cross sectional study

Venkataramana¹,

Amarnath²

2017

Int J Community Med Public Health

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Background: Preventable blindness is still one of the major public health problems in India. The scarcity of community-based studies on ocular morbidity, more especially from rural areas is one of the reasons for the inadequate focus on the subject. The objectives were to study the pattern and factors associated with ocular morbidity in a rural adult population. Methods: The study was a cross sectional study conducted in field practice area of rural health Center, Cheluvanatti village in the state of Karnataka. Among 16 villages, one village was selected by convenient sampling. Ocular morbidity was assessed by detailed history and clinical examination by trained clinicians. Results: Among total 1181 population, 872 people >18 years were included in the final analysis. Majority portion (72.9%) of the study population was in 18-45 years age group. There were 51.3% of males and the proportion of females was 48.7%. The prevalence of ocular morbidity was 13.9% (95% CI 12.0%-16.0%) in the study population. The most common ocular morbidity was refractive errors seen in 56(6.4%), followed by cataract seen in 35 (4%) and corneal blindness seen in 26 (3%) subjects. The presence of ocular morbidity was 4.49 times more in 46-60 years age group compared with 18 to 45 years age group (95% CI 2. 76 -7.33, p<0.01). Compared with higher studies people the presence of ocular morbidity in illiterate was 35.32 times more p<0.01). The presence of ocular morbidity was 20.64 times more in diabetic patients (95% CI 8. 95-47.61, p<0.01) comparing with non-diabetic patients. Conclusions:The prevalence of ocular morbidity is still more in aged people and the village people are getting more effect with their practices and behavior. There is a need to go with more community-based cross sectional studies and also the preventive methods to reduce and avoid the risk of ocular diseases. Venkataramana et al. Int J Community Med Public Health. 2017 Aug;4(8):2939-2945 International Journal of Community Medicine and Public Health | August 2017 | Vol 4 | Issue 8 Page 2940 people, the majority of them living in rural areas, with poor access to quality eye care services. By the year 2020, this number is projected to be twice the current level, without appropriate strategies. Keywords 7Various reports have highlighted the fact that 80% of global burden of visual impairment can be prevented, treated or cured. Globally, the leading causes of blindness are a cataract, uncorrected refractive errors, glaucoma, age-related macular degeneration. Other major causes include Corneal opacities, Diabetic retinopathy, Blinding trachoma.8 Even in India, preventable and treatable causes like cataract (62.6%) refractive error (19.70%) still contribute to more than 80% preventable blindness. 6 Factors which strongly influence the occurrence and burden and pattern of ocular diseases in a particular community include age structure of the population, socioeconomic conditions, Educational status, occupational profile and environmental conditions etc., Healthcare s...

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Prevalence of vision impairment and refractive error in school children in Ba Ria – Vung Tau province, Vietnam

Cited by 99 publications

References 39 publications

The association between digital screen time and myopia: A systematic review

The association between digital screen time and myopia: A systematic review

Factores socio-educativos asociados a la agudeza visual baja en escolares de Perú

Prevalence and pattern of ocular morbidity and factors influencing ocular morbidity in a rural population in south India: a community based cross sectional study

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