Literature DB >> 9290372

Visual impairment and socioeconomic factors.

P M Livingston1, C A McCarty, H R Taylor.   

Abstract

BACKGROUND: Information about socioeconomic factors associated with visual impairment can assist in the design of intervention programmes. Such information was collected by the Melbourne Visual Impairment Project (Melbourne VIP).
METHODS: The Melbourne VIP was a population based study of non-institutionalised permanent residents in nine suburbs of the Melbourne metropolitan area aged 40 years of age and older. A standardised eye examination was provided to eligible residents which included a structured interview. Variables of interest for this analysis were age, sex, country of birth, language spoken at home, education level, use of private health insurance, employment status, and living arrangements. Visual impairment was defined as a best corrected visual acuity < 6/18 and/or visual field constriction to within 20 degrees of fixation.
RESULTS: A total of 3271 (83%) residents participated. Participants ranged in age from 40 to 98 years; 54% were female. Forty four (1.34%) were classified as visually impaired due to visual acuity and/or visual field loss. To evaluate the independent association of the significant sociodemographic variables with visual impairment, a regression model was constructed that included age, retirement status, use of private health insurance, and household arrangement. The results showed that age was the significant predictor of visual impairment (OR: 3.19; CI: 2.29-4.43), with the mean age of people with visual impairment significantly older (75.0 years) compared with people without visual impairment (58.2 years) (t test = 9.71; p = 0.0001). Of the 44 visually impaired people, 39 (87%) were aged 60 years of age and older.
CONCLUSION: The results indicate that age is the most significant factor associated with visual impairment. Of some importance was the finding that people with visual impairment were less likely to have private health insurance. With the aging of the population, the number of people affected by visual impairment will increase significantly. Intervention programmes need to be established before the onset of middle age to offset the escalation of visual impairment in the older population.

Entities:  

Mesh:

Year:  1997        PMID: 9290372      PMCID: PMC1722263          DOI: 10.1136/bjo.81.7.574

Source DB:  PubMed          Journal:  Br J Ophthalmol        ISSN: 0007-1161            Impact factor:   4.638


  10 in total

1.  Visual impairment in a rural Appalachian community. Prevalence and causes.

Authors:  M R Dana; J M Tielsch; C Enger; E Joyce; J M Santoli; H R Taylor
Journal:  JAMA       Date:  1990-11-14       Impact factor: 56.272

Review 2.  Methods for a population-based study of eye disease: the Melbourne Visual Impairment Project.

Authors:  P M Livingston; C A Carson; Y L Stanislavsky; S E Lee; C S Guest; H R Taylor
Journal:  Ophthalmic Epidemiol       Date:  1994-12       Impact factor: 1.648

3.  Cost-effectiveness of recruitment methods in a population-based epidemiological study: the Melbourne Visual Impairment Project.

Authors:  P M Livingston; C S Guest; A Bateman; N Woodcock; H R Taylor
Journal:  Aust J Public Health       Date:  1994-09

4.  Visual impairment in Australia: distance visual acuity, near vision, and visual field findings of the Melbourne Visual Impairment Project.

Authors:  H R Taylor; P M Livingston; Y L Stanislavsky; C A McCarty
Journal:  Am J Ophthalmol       Date:  1997-03       Impact factor: 5.258

5.  Blindness and visual impairment in an American urban population. The Baltimore Eye Survey.

Authors:  J M Tielsch; A Sommer; K Witt; J Katz; R M Royall
Journal:  Arch Ophthalmol       Date:  1990-02

6.  Socioeconomic status and visual impairment among urban Americans. Baltimore Eye Survey Research Group.

Authors:  J M Tielsch; A Sommer; J Katz; H Quigley; S Ezrine
Journal:  Arch Ophthalmol       Date:  1991-05

7.  The relation of socioeconomic factors to age-related cataract, maculopathy, and impaired vision. The Beaver Dam Eye Study.

Authors:  R Klein; B E Klein; S C Jensen; S E Moss; K J Cruickshanks
Journal:  Ophthalmology       Date:  1994-12       Impact factor: 12.079

8.  Functional blindness and visual impairment in older adults from three communities.

Authors:  M E Salive; J Guralnik; W Christen; R J Glynn; P Colsher; A M Ostfeld
Journal:  Ophthalmology       Date:  1992-12       Impact factor: 12.079

9.  The Beaver Dam Eye Study: visual acuity.

Authors:  R Klein; B E Klein; K L Linton; D L De Mets
Journal:  Ophthalmology       Date:  1991-08       Impact factor: 12.079

10.  Visual acuity and the causes of visual loss in Australia. The Blue Mountains Eye Study.

Authors:  K Attebo; P Mitchell; W Smith
Journal:  Ophthalmology       Date:  1996-03       Impact factor: 12.079

  10 in total
  17 in total

Review 1.  Socioeconomic status and blindness.

Authors:  R Dandona; L Dandona
Journal:  Br J Ophthalmol       Date:  2001-12       Impact factor: 4.638

2.  Visual acuity in northern China in an urban and rural population: the Beijing Eye Study.

Authors:  L Xu; J Li; T Cui; A Hu; Y Zheng; Y Li; B Sun; B Ma; J B Jonas
Journal:  Br J Ophthalmol       Date:  2005-09       Impact factor: 4.638

3.  Age-related eye diseases and visual impairment among U.S. adults.

Authors:  Chiu-Fang Chou; Mary Frances Cotch; Susan Vitale; Xinzhi Zhang; Ronald Klein; David S Friedman; Barbara E K Klein; Jinan B Saaddine
Journal:  Am J Prev Med       Date:  2013-07       Impact factor: 5.043

4.  Risk factors for four-year incident visual impairment and blindness: the Los Angeles Latino Eye Study.

Authors:  Yoshihiro Yonekawa; Rohit Varma; Farzana Choudhury; Mina Torres; Stanley P Azen
Journal:  Ophthalmology       Date:  2011-07-23       Impact factor: 12.079

5.  The prevalence of visual impairment and blindness in underserved rural areas: a crucial issue for future.

Authors:  H Hashemi; A Yekta; E Jafarzadehpur; A Doostdar; H Ostadimoghaddam; M Khabazkhoob
Journal:  Eye (Lond)       Date:  2017-04-21       Impact factor: 3.775

6.  Relationship of sociodemographic variables with outcomes after cataract surgery.

Authors:  J M Quintana; S Garcia; U Aguirre; N Gonzalez; E Arteta; A Escobar; M Bare; J A Blasco; J Martínez-Tapias
Journal:  Eye (Lond)       Date:  2013-05-24       Impact factor: 3.775

7.  The prevalence and causes of visual impairment in Tehran: the Tehran Eye Study.

Authors:  A Fotouhi; H Hashemi; K Mohammad; K H Jalali
Journal:  Br J Ophthalmol       Date:  2004-06       Impact factor: 4.638

8.  Level of education associated with ophthalmic diseases. The Beijing Eye Study.

Authors:  Liang Xu; Ya Xing Wang; Jost B Jonas
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2009-10-11       Impact factor: 3.117

9.  Prevalence And Associated Factors Of Visual Impairment Among School-Age Children In Bahir Dar City, Northwest Ethiopia.

Authors:  Yosef Antehun Merrie; Mebratu Mulusew Tegegne; Minychil Bantihun Munaw; Haile Woretaw Alemu
Journal:  Clin Optom (Auckl)       Date:  2019-11-08

Review 10.  Social inequalities in blindness and visual impairment: a review of social determinants.

Authors:  Anna Rius Ulldemolins; Van C Lansingh; Laura Guisasola Valencia; Marissa J Carter; Kristen A Eckert
Journal:  Indian J Ophthalmol       Date:  2012 Sep-Oct       Impact factor: 1.848

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