Literature DB >> 10829825

Pattern and distribution of ocular morbidity in primary school children of rural Delhi.

S Chaturvedi1, O P Aggarwal.   

Abstract

A total of 679 primary school children drawn from developed southern parts and underdeveloped eastern parts of Delhi were examined for ocular morbidity. Their age range was 5-15 years and both sexes had almost equal representation. The prevalence of eye diseases was relatively high. Over 40 percent of all the children studied had one or more ocular problems. Trachoma (18%) was the most common ocular morbidity followed by vitamin A deficiency (10.6%), visual acuity < 6/9 (7.4%) and apparent/latent squint (7.4%). In most of these eye disorders, the majority of the children came from the underdeveloped eastern parts of Delhi. Ocular morbidity seems to be unevenly distributed in rural Delhi with a significantly worse picture in the underdeveloped eastern parts, across the river 'Yamuna'. Though blinding trachoma may cease to be a major problem in India, the country continues to have endemic pockets of its non-blinding form. One puzzling observation was that children with protein-energy malnutrition (PEM) did not show any specific vulnerability to ocular diseases. In fact, those with normal weight-height index were having a higher share of eye diseases. Though this issue needs to be explored further in the light of biological plausibility, it appears that children who do not have PEM are also exposed to ocular diseases at least with comparable risk.

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Year:  1999        PMID: 10829825     DOI: 10.1177/101053959901100107

Source DB:  PubMed          Journal:  Asia Pac J Public Health        ISSN: 1010-5395            Impact factor:   1.399


  13 in total

1.  Ocular morbidity in schoolchildren in Kathmandu.

Authors:  B P Nepal; S Koirala; S Adhikary; A K Sharma
Journal:  Br J Ophthalmol       Date:  2003-05       Impact factor: 4.638

2.  Ocular morbidity among school-going children in the Union Territory of Chandigarh.

Authors:  Neeti Gupta; Sudesh Kumar Arya; Dinesh Walia; Archana Mallik; Sunandan Sood
Journal:  Int Ophthalmol       Date:  2013-07-16       Impact factor: 2.031

3.  Screening for visual impairment: outcome among schoolchildren in a rural area of Delhi.

Authors:  Neeti Rustagi; Yogesh Uppal; Devender K Taneja
Journal:  Indian J Ophthalmol       Date:  2012 May-Jun       Impact factor: 1.848

4.  Spectrum of visual impairment among urban female school students of Surat.

Authors:  Mausumi Basu; Palash Das; Ranabir Pal; Sumit Kar; Vikas K Desai; Abhay Kavishwar
Journal:  Indian J Ophthalmol       Date:  2011 Nov-Dec       Impact factor: 1.848

5.  Magnitude and determinants of refractive error among school children of two districts of Kathmandu, Nepal.

Authors:  Srijana Adhikari; Bhagwat P Nepal; Jeevan Kumar Shrestha; Rajiv Khandekar
Journal:  Oman J Ophthalmol       Date:  2013-09

6.  Role of optometry school in single day large scale school vision testing.

Authors:  N Anuradha; Krishnakumar Ramani
Journal:  Oman J Ophthalmol       Date:  2015 Jan-Apr

7.  Prevalence of ocular morbidity in school going children in West Uttar Pradesh.

Authors:  Veer Singh; K P S Malik; V K Malik; Kirti Jain
Journal:  Indian J Ophthalmol       Date:  2017-06       Impact factor: 1.848

Review 8.  Chlamydial eye infections: Current perspectives.

Authors:  Gita Satpathy; Himanshu Sekhar Behera; Nishat Hussain Ahmed
Journal:  Indian J Ophthalmol       Date:  2017-02       Impact factor: 1.848

9.  Ocular Chlamydia trachomatis infections in patients attending a tertiary eye care hospital in north India: a twelve year study.

Authors:  Anjana Sharma; Gita Satpathy; Niranjan Nayak; Radhika Tandon; Namrata Sharma; Jeewan Singh Titiyal; Anita Panda; Rasik Behari Vajpayee; Ravinder Mohan Pandey
Journal:  Indian J Med Res       Date:  2012-12       Impact factor: 2.375

10.  Ocular morbidity prevalence among school children in Shimla, Himachal, North India.

Authors:  Madhu Gupta; Bhupinder P Gupta; Anil Chauhan; Ashok Bhardwaj
Journal:  Indian J Ophthalmol       Date:  2009 Mar-Apr       Impact factor: 1.848

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