Literature DB >> 16962175

Prevalence and correlates of children's diagnosed eye and vision conditions.

Michael L Ganz1, Ziming Xuan, David G Hunter.   

Abstract

PURPOSE: Little is known about the distribution of eye and vision conditions among children and about possible disparities in the distribution of these conditions. The purpose of this report is to describe the prevalence of diagnosed eye and vision conditions among children younger than 18 years in the United States.
DESIGN: Repeated population-based cross-sectional study. PARTICIPANTS: Forty-eight thousand three hundred four members of randomly selected households in the U.S. who were younger than 18 years in the years 1996 through 2001 were analyzed.
METHODS: The prevalence of children with diagnosed eye and vision conditions was estimated using self-reported information from the nationally representative Medical Expenditure Panel Surveys (MEPS) for 1996 through 2001. Descriptive statistics are presented, and the associations between the likelihood of diagnosed eye and vision conditions and child and family characteristics were assessed using logistic regression analyses adjusted for the complex survey design of MEPS. MAIN OUTCOME MEASURES: Prevalence of diagnosed eye and vision conditions and measures of the association between diagnosed eye and vision conditions and child and family characteristics.
RESULTS: On average, approximately 6.8% (95% confidence interval [CI], 6.4%-7.2%) of children < 18 years in the U.S. have a diagnosed eye and vision condition, ranging from 8.6% (95% CI, 7.8%-9.5%) in 1996 to 5.8% (95% CI, 5.2%-6.4%) in 2001. Excluding conjunctivitis, the 4 most common conditions were refractive disorders, potentially blinding disorders, trauma or injury, and other disorders not elsewhere classified. White children, children with more educated mothers, and children living in higher income families were more likely to have a diagnosed eye and vision condition. Hispanic children, children in very good or excellent health, and uninsured children were less likely to have any self-reported diagnosed eye and vision condition.
CONCLUSIONS: This article presents a method for using MEPS to identify children younger than 18 years with eye and vision conditions. Although this method does not identify all children with eye and vision conditions, it does identify children with diagnosed eye and vision conditions. Results provide some evidence that underprivileged children may be underdiagnosed, undertreated, or both, placing them at risk for future problems.

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Year:  2006        PMID: 16962175     DOI: 10.1016/j.ophtha.2006.06.015

Source DB:  PubMed          Journal:  Ophthalmology        ISSN: 0161-6420            Impact factor:   12.079


  14 in total

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Journal:  Arthritis Care Res (Hoboken)       Date:  2011-09       Impact factor: 4.794

2.  Early Childhood Vision Screening in Hawai'i Utilizing a Hand-Held Screener.

Authors:  Duane A Chang; Roger C Ede; Dominic C Chow; Ryan D Souza; Louie Mar A Gangcuangco; Nancy Hanks; Beau K Nakamoto; Brooks Mitchell; Alison T Masutani; Sam Fisk; Cecilia M Shikuma; Jan E Dill
Journal:  Hawaii J Med Public Health       Date:  2015-09

3.  Patterns of eye care use and expenditures among children with diagnosed eye conditions.

Authors:  Michael Ganz; Ziming Xuan; David G Hunter
Journal:  J AAPOS       Date:  2007-04-16       Impact factor: 1.220

4.  Trends in Visual Health Inequalities in Childhood Through Associations of Visual Function With Sex and Social Position Across 3 UK Birth Cohorts.

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5.  Prevalence of decreased visual acuity among preschool-aged children in an American urban population: the Baltimore Pediatric Eye Disease Study, methods, and results.

Authors:  David S Friedman; Michael X Repka; Joanne Katz; Lydia Giordano; Josephine Ibironke; Patricia Hawes; Diane Burkom; James M Tielsch
Journal:  Ophthalmology       Date:  2008-06-05       Impact factor: 12.079

6.  The Impact of Providing Vision Screening and Free Eyeglasses on Academic Outcomes: Evidence from a Randomized Trial in Title I Elementary Schools in Florida.

Authors:  Paul Glewwe; Kristine L West; Jongwok Lee
Journal:  J Policy Anal Manage       Date:  2018

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Authors:  John S Wittenborn; Xinzhi Zhang; Charles W Feagan; Wesley L Crouse; Sundar Shrestha; Alex R Kemper; Thomas J Hoerger; Jinan B Saaddine
Journal:  Ophthalmology       Date:  2013-04-28       Impact factor: 12.079

8.  The impact of the public insurance expansions on children's use of preventive dental care.

Authors:  Chi-Chi Liao; Michael Lee Ganz; Hongyu Jiang; Theodore Chelmow
Journal:  Matern Child Health J       Date:  2008-12-09

9.  Factors associated with childhood ocular morbidity and blindness in three ecological regions of Nepal: Nepal pediatric ocular disease study.

Authors:  Srijana Adhikari; Mohan Krishna Shrestha; Kamala Adhikari; Nhukesh Maharjan; Ujjowala Devi Shrestha
Journal:  BMC Ophthalmol       Date:  2014-10-23       Impact factor: 2.209

10.  Visual function and ocular status of children with hearing impairment in Oman: a case series.

Authors:  Rajiv Khandekar; Mohammed Al Fahdi; Bushra Al Jabri; Saleh Al Harby; Talat Abdulamgeed
Journal:  Indian J Ophthalmol       Date:  2009 May-Jun       Impact factor: 1.848

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