ORIGINAL ARTICLE
PREVALENCE OF EYE DISEASES AND VISUAL IMPAIRMENT IN URBAN POPULATION - A STUDY FROM UNIVERSITY OF MALAYA MEDICAL CENTRE
SC Reddy1, 2 MS (Ophth), FRCOphth (London)
I Tajunisah2 M Ophth, FRCS (Glasgow)
KP Low3
AB Karmila3
- Department of Ophthalmology, International Medical University, Clinical School, Jalan Rasah, 70300 Seremban, Negeri Sembilan, Malaysia
- 2Department of Ophthalmology, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
- Phase II Medical students, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
Address for correspondence: Assoc Prof Dr SC Reddy, Department of Ophthalmology, International Medical University, Clinical School, Jalan Rasah, 70300 Seremban, Negeri Sembilan, Malaysia. Tel: 06-7677798, Fax: 06-7677709, Email: rchandrasekhara@yahoo.com
ABSTRACT
One thousand one hundred and sixty-nine (1169) patients were examined in the Eye Clinic of University of Malaya Medical Centre over a period of three weeks to determine the prevalence of eye diseases and visual impairment. Age, gender, race, visual acuity and diagnosis of patients were noted from the case records. Cataract (385, 32.9%) was the most common eye disease seen in our study followed by glaucoma (274, 23.4%). Refractive errors were seen in 126 (10.8%) while diabetic retinopathy was noted in 113 (9.7%) patients. One hundred and fifteen (9.6%) patients had visual impairment and 11 (0.9%) had blindness in our study according to WHO classification of visual impairment.Refractive errors are the most common causes of visual impairment in children, while cataract, glaucoma and diabetic retinopathy account for visual impairment in elderly people. All these eye diseases are treatable and the severe eye conditions may be potentially preventable with early diagnosis.
Keywords: Eye diseases, visual impairment, cataract, glaucoma, corneal diseases, diabetic retinopathy.
Reddy SC, Tajunisah I, Low KP, Karmila AB. Prevalence of eye diseases and visual impairment in urban population - A study from University of Malaya Medical Centre. Malaysian Family Physician. 2008;3(1):25-28.
INTRODUCTION
Diseases that cause visual impairment are known to significantly alter the quality of life of the individual through the prolonged period of morbidity. The geographical, economic, social and political aspects of the susceptible population, environmental hazards and trauma have been established as the main causative factors for eye disorders. Within the population, several factors such as age and gender also modify the prevalence of the eye disorders.
In the National Eye Survey Malaysia conducted in 1996,1 the prevalence of visual impairment in Malaysia was found to be 2.7% which was higher in rural areas (2.9%) than in urban areas (2.5%).1 Prevalence of visual impairment in rural population in Selangor state has been reported to be varying from 5.6% 2 to 18.9% 3. However, there is no data available on the prevalence of visual impairment in urban population from any State or University hospitals in Malaysia. Therefore, this study was undertaken to determine the prevalence of eye diseases and visual impairment among the patients attending the Eye Clinic of University of Malaya Medical Center, which provides medical care facilities to mostly urban population in Kuala Lumpur Federal Territory and Klang Valley. This work was conducted as a research project of Phase II medical students as part of their medical training.
METHODS
The medical records of all patients attending the Eye Clinic of University of Malaya Medical Center were reviewed from 19 May 2003 to 8 June 2003. In the morning from 8 a.m. to 1 p.m., new cases and follow-up patients were seen in the eye clinic. Patients with acute eye problems (pain, redness, injury, sudden loss of vision) were seen on the same day of referral to the clinic. The afternoon clinic (2 to 5 p.m.) was allocated for cataract patients called for investigations and review, patients from other wards referred for eye checkup and patients listed for laser photocoagulation. All these patients were included in this study.
Data obtained from their medical records included age, gender, race, visual acuity and ophthalmologic diagnosis and associated systemic diseases. Visual acuity was measured using a Snellen chart by trained auxiliary staff and all patients were then examined by the ophthalmologists. Patients with retinal diseases were examined after dilating pupils with tropicamide eye drops. Refraction was done by the qualified optometrist of the hospital. Visual acuity in young children and mentally retarded patients was tested whenever possible and in some instances, the visual acuity could not be recorded. When more than one eye disease were present in a patient, they were listed under the relevant subheading as per international statistical classification of diseases4 -- eyelids, lacrimal system, conjunctiva, cornea, sclera, uveal tract, lens, vitreous body, retina, glaucoma, optic nerve and visual pathway, orbit, strabismus, trauma to the eye, refractive error or visual disturbance. However, the percentage of prevalence of the eye diseases was calculated based on the total number of patients examined only. The findings were entered in a data sheet and analysed using SPSS software.
Taking the best corrected vision in the better eye into account, the visual impairment was categorised into four groups4 --- no visual impairment (visual acuity 6/6 --6/18), visual impairment (visual acuity < 6/18 --6/60), severe visual impairment (visual acuity < 6/60 -- 3/60) and blindness (visual acuity < 3/60 -- no perception to light).
RESULTS
A total of 1169 patients’ records were reviewed during the study period; 184 (15.7%) were new cases and the rest 985 (84.3%) were follow-up patients. More than half of the patients (601, 51.4%) were females and 568 (48.6%) were males; the mean age of patients was 51.1 ± 20.6 years (range 3 months to 90 years); 724 (61.9%) of patients were aged above 50 years; 109 (9.3%) were children below 12 years of age (Table 1). In this study, 452 were Chinese (38.7%), 367 Malays (31.4%), 328 Indians (28.1%) and the rest 22 (1.9%) were of other races (10 Punjabis, 7 Indonesians and 5 Bangladeshis).
Table 1: Age and gender distribution of patients
| Age | Males | Females | Total (%) |
| 1 month - 10 years | 40 | 36 | 76 (6.5) |
| 11 – 20 years | 38 | 35 | 73 (6.2) |
| 21 – 30 years | 24 | 45 | 69 (5.9) |
| 31 – 40 years | 39 | 23 | 62 (5.3) |
| 41 – 50 years | 78 | 87 | 165 (14.1) |
| 51 – 60 years | 116 | 142 | 258 (22.1) |
| 61 – 70 years | 148 | 158 | 306 (26.2) |
| 71 – 80 years | 79 | 71 | 150 (12.8) |
| 81 – 90 years | 6 | 4 | 10 (0.8) |
| Total | 568 | 601 | 1169 |


