Introduction

Pterygium is a common ophthalmic disease of unknown cause and pathogenesis,1 and it was called as an ophthalmic enigma.2 However, many regard it to be a consequence of ultraviolet-induced damage with subsequent elastoid degeneration of the subepithelial connective tissue,3, 4, 5 and it is strongly related to ocular sun exposure.6, 7, 8, 9 The prevalence rates of pterygium obtained from a number of populations range from 1.2% in urban Caucasians9 to 31.01% in rural Chinese in southern China.10

To the best of our knowledge, very few data are available on the prevalence of pterygium in Mongolian people at high altitude. In light of the hypothesis that pterygium is related to ocular sun exposure, a population-based prevalence survey in Mongolian people who live at high altitude was conducted from September 2006 to December 2006. The purpose of this survey was to understand the prevalence of pterygium in an elderly native Mongolian population at high altitude in Henan County, and identify associated risk factors for pterygium.

Materials and methods

This investigation was part of a population-based study of ocular disorders among Mongolian people aged 40 years and older living in Henan County, China, the Henan Eye Survey (HES). Henan County (East longitude of 100° 53′–102° 15′ and north latitude of 34° 04′–34° 55′) is located in the eastern part of the Qinghai-Tibetan Plateau, China. The average altitude of Henan County is 3450 m, with a land area of 6997km2. It has 6 townships and 49 villages. The country has a constant high altitude climate with a yearly mean temperature of −3°C, daily mean total global radiation of 625 kj/cm2, and 2650 h of sunshine per year (2005, Meteorological Service, Bureau of Environment, Qinghai, China). The socioeconomic status is at the lower end of the norm in China. Henan County was chosen as the study community after considering population stability, metropolitan areas, sea level, and local support into consideration.

Selection of subjects

According to the 2004 population census, the total population of Henan County was 32 616, with native Mongolians being 30 422 (93.3% of the total). The number of native Mongolians aged 40 and older were 6449 (21.2%) of all native Mongolians. Residents 40 years of age and older were identified by the household registration system.

The stratified, clustered, random sampling method was used for sampling drawing. For determining the sample size, the prevalence of blindness for adults 40 years and above was estimated to be 5%. We assumed a design effect of 1.5 (for cluster sampling), a confidence interval (CI) of 95%, an allowable error of 25%, and a response rate of 80%. These assumptions led to a sample size of 2426. We used the villages as the primary sampling units (PSUs)11 for the entire county. The number of native Mongolians in each PSU was within the range of 450–600. There were 47 PSUs actually involved in this survey, in 28 596 (94.0 %) of the county's total Mongolian population. The random digits table was used to draw 19 units from those PSUs to fit the needs of the sample. Two thousand four hundred and eighty-nine native Mongolians 40 years and older were eligible. All participants were native Mongolians who were born and grown up in the selected area.

The pre-survey stage and pilot study

Contacts were made from April 2006 to May 2006 with the local government and correlated constitutions to negotiate the detailed affairs of the survey, and informed the individuals who were in the selected PSUs. Before the formal survey began, 1 week's training and a pre-survey were conducted (the first 1 week of June 2006). The pilot study was conducted outside the study area and these results were excluded from this study. A total of 216 individuals from another county near by Henan County were examined. These examinations revealed weaknesses in the examination procedures and in the organization of the processes and procedures. These weaknesses were successfully addressed before implementation of the main study.

Data collection

The fieldwork of data collection was started and conducted from June 2006 to September 2006. A team of five ophthalmologists, administrative personnel from the villages, and the medical workers of the township clinics (they also acted as translators) carried out the data collection. The team was equipped with two vehicles, Snellen's E charts, two slit-lamp microscopes (Model YZ-5E, Crane, China), a stereo-ophthalmoscope (Keeler, UK) with a Volk 20 D lens. The team also was equipped with power generators for locations without electricity.

At locally established test sites (at local clinics), the participants underwent the examinations, including a personal interview, visual acuity, signs of dry eyes, slit-lamp assessment of anterior segment and lens, and fundus evaluation. Ophthalmologists conducted the eye examinations according to a standardized protocol.

A standardized interview was conducted on all participants and a structured questionnaire was used to obtain information based on demographic data (name, age, gender, locality, economic status, and education) and lifestyle (smoking, alcohol intake, wears a hat or sunglasses). Participants’ self-reported demographic data were assessed. Age was defined as the current age at the time of survey. Education level was ascertained by the question, ‘How many years have you been in school?’ We classified these answers into four categories: never, less than 3 years, 3–6 years, and more than 6 years. Family economic status was measured according to the number of yaks in the family, since yaks are one of the most important domestic animals for this group of Mongolian population. Three categories were classified: low (less than 10 yaks), middle (10–50 yaks), and high (more than 50 yaks). Symptoms of dry eye were assessed using a six-item validated questionnaire;12 presence of one or more of the six dry eye symptoms often or all the time was analyzed. People were asked to state when outdoors if they wore a hat, sunglasses, or stone spectacles (seldom or often). The participants were also asked questions about their cigarette-smoking history (smoker and non-smoker). Alcohol intake was categorized as no habit of alcohol consumption and a habit of alcohol consumption.

As part of the standardized eye examination, a slit-lamp (Model YZ) was used to examine the anterior segment for evidence of pterygium. The diagnosis of pterygium was made clinically by a single examiner (PL). The Schirmer's test was performed 1 min after instillation of a drop of 0.5% proparacaine (Alcaine, Alcon-Couveur, Belgium), and any visible fluid in the inferior fornix or lid margin was gently dried with a cotton swab. A precalibrated filter strip (Tianjin Jingming New Technological Development Co. Ltd, China) was then placed temporally in each lower fornix and left in place for 5 min. The patient was encouraged to close his/her eyes but allowed to blink normally. After 5 min, the strip was removed, and the amount of wetting was recorded. The tear-film breakup time test was repeated three times for each eye, and the average time was recorded.

Diagnostic criteria

Pterygium was diagnosed if a characteristic raised fleshy growth crossing the corneoscleral limbus and encroaching on the clear cornea was present13 or if pterygium surgery had been performed. A system of grading pterygia according to their morphology has been developed for use in pterygium studies.14, 15 Grade T1 (transparent) includes a pterygium in which episcleral vessels underlying the body of the pterygium are clearly distinguished and unobscured and grade T3 (opaque) a thick, fleshy pterygium in which episcleral vessels underlying the body of the pterygium are totally obscured. All other pterygia that do not fall into these two categories fall into grade T2 (intermediate). If a patient had bilateral pterygia, the grade was classified according to the higher grade in either eye. Age-related cataracts were assessed by use of the Lens Opacity Classification System III,16, 17 by a senior ophthalmologist (XC). Subjects with congenital or traumatic cataracts in one or both eyes were excluded from this analysis.

Data processing and statistic analysis

Fixed people for fixed items filled the results of the survey in the forms. Questions were solved by discussion with the entire team. SPSS (Statistical Package for Social Sciences Inc., Chicago, IL, USA) version 12.0 was used for statistical analysis and P<0.05 was considered statistically significant. The prevalence rates and 95% CI of pterygium for subjects were calculated. The association between gender, age, educational level, lifestyle, and other variables and the risk of pterygia was estimated by the odds ratio (OR) and its 95% CI. The significance of visual acuity on patients with different types of pterygium was evaluated by χ2-test. The independent effect of risk factors was evaluated using logistic regression models.

This survey was approved by the Ethics Committee of the Qinghai Provincial Health Bureau and was carried out in accordance with the tenets of the Declaration of Helsinki Principal (revised in 2000). All the participants gave verbal consent and all the examinations and treatment were free of charge.

Results

Among the 2486 native Mongolians 40 years and older who were eligible to participate in this study, 2112 underwent the survey. The overall response rate was 84.9%, including 1125 male cases (53.3%). Table 1 shows the age, gender, the level of education, and economic situation of the family. The average age for the individuals who underwent the survey was 54.85±11.72.

Table 1 The distribution of gender, age, and the level of education of native Mongolian in Henan (n=2112)

There were 378 people with either unilateral (n=228) or bilateral (n=150) pterygia, equivalent to an overall prevalence of 17.9% (95% CI, 16.3, 19.5) in the Mongolian population aged 40 and above (Table 2). None of the participants had undergone the pterygium surgery before. The age-adjusted prevalence rate was similar, 17.8% (95% CI, 17.8, 17.9). The prevalence increased with age (χ2-test of trend P<0.001).

Table 2 Prevalence of pterygium in native Mongolian in Henan by age and gender (n=2112)

Of the 378 persons with pterygium, 154 were classified as having grade T1 pterygium, 174 had grade T2, and the remaining 50 had grade T3 (Table 3). There were 150 persons with bilateral pterygia, 39.7% (150/378) of the total. Table 4 shows visual acuity on patients with different types of pterygium.

Table 3 Age and sex-specific prevalence rates of the different grades of pterygium in Henan (n=2112)
Table 4 Visual acuity on patients with pterygium in Hennaa (eyes)

Pterygium was independently associated with Schirmer's test (5 mm) (OR 2.4; 95% CI, 1.9, 3.1), tear breakup time (10 s) (OR, 2.3; 95% CI, 1.8, 2.9), lower education level (<3 years) (OR, 2.1; 95% CI, 1.4, 3.2), increasing age (OR, 2.0; 95% CI, 1.4, 2.8) for persons 70–79, compared with 40–49, and other risk factors (Table 5).

Table 5 Logistic regression results for associations of pterygium in Henan county (n=2112)

Discussions

After the study of relevant materials from around the world in recent decades, we found the epidemiological survey of eye diseases for native dwellers at the high altitude was limited. In 1999–2000, a cross-sectional prevalence study of blindness in the Tibet Autonomous Region was conducted, but it was mainly focused on eye diseases resulting in blindness. The prevalence of pterygium was not included.18 To the best of our knowledge, this was the first population-based study to examine the prevalence and risk factors of pterygium in a Mongolian population in a region of high altitude. We found a high prevalence of pterygium in this Tibetan population: the overall prevalence of pterygium was 17.9% (95% CI, 16.3, 19.5).

Previously reported prevalence of pterygia varies widely with geography, race, age, and gender. The earliest estimates were from a survey in New South Wales, Australia, which reported a 9.6% prevalence in participants aged 10 years and older.19 In China, a 7.86% prevalence in 7990 participants aged 12–88 years has been reported.20

Studies that were based on adult populations confirm the higher prevalence of pterygium with increasing age. Prevalence in the Australian state of Victoria, where 2.83% of 5147 participants older than 40 years had pterygium, tended to increase with age in this population, with 6.4% of those aged 80–89 years found to have pterygium.9 The Tanjong Pagar survey was 6.9% (95% CI, 5.2, 8.8) in a sample of 1717 Chinese aged 40 and older.15 In the Blue Mountain Eye Study, the prevalence was 7.3% for participants aged 49 years or older.21 The prevalence of pterygium among 477 residents on a tropical island in Indonesia, however, was high, at 17.0%,22 and the black population of the Barbados Eye Study was even higher, 23.4% of 2617 participants were aged 40–84 years.23 The highest prevalence of pterygium, to our knowledge, was in subjects aged 50 years or above in a rural area of southern China, 33.01%.10 In HES, we found the prevalence of pterygium was 13.5 (95% CI, 11.2, 15.9) in participants aged 40–49, but 27.5% (95% CI, 15.2, 39.7) for those aged 80 and above.

In medicine, high altitude is an area of altitude above 3000 m, which has obvious biological effect on the human body.24 This survey was located on the Qinghai-Tibetan plateau where the average altitude was 3450 m and the individuals who underwent the survey were all native Mongolian living at high altitude. The unique environment of this high altitude area includes low air pressure, hypoxia, dry and cold weather, long periods or sunshine, strong solar infrared light and ultraviolet radiation, and some areas are covered by snow round the year. All of these factors have effects on the human body and the visual organ.25 We believe that this environment plays an important role for pterygium. However, we found no statistical significance of the prevalence for participants with pterygium between the altitudes of 3350–3600 m above sea level and altitudes higher than 4100 m.

Native Mongolians are nomadic people and therefore the amount of time they stay outside during daylight hours is long, usually 6–9 h a day. Studies have shown that spending longer periods of time outdoors has led to an increased risk of pterygium, with cumulative exposure to ultraviolet radiation playing a significant role.7, 26 A case–control study of 278 patients working in outside environments was shown to be 4–11 times more likely to have pterygium than those working indoors.27 These studies interpret the high prevalence of pterygium in HES.

For the Chesapeake Bay watermen, more than 8 years of education was found to be beneficial in protecting them from pterygium (OR 0.42; 95% CI, 0.28, 0.62).14 In the Barbados Eye Study, logistic regression analyses indicated a positive association between pterygium and fewer years of education (12 years) (OR 1.43; 95% CI, 1.01, 2.03).23 The level of education was possibly as a result of a lower socioeconomic status in Mongolian people. The HES found that fewer years of education (<3 years) had a positive effect on pterygium (OR 2.1; 95% CI, 1.4, 3.2) as did a low economic family status (OR 1.3; 95% CI, 1.0, 1.6).

Pterygium is known to affect refractive astigmatism, which can have a significant impact on vision. Vision may be reduced due to direct invasion of the visual axis or astigmatism induced by the pteygium. This study found that 18 eyes with pteygium had the visual acuity lower than 3/60 as a consequence of the lesion extending into the visual axis, and the operations were provided free of charge after the survey was completed. There is a statistical significance on visual acuity between the lower groups of pterygium to higher group of pterygium (χ2=97.759, P<0.0001).

Reports on whether gender is related to pterygium have been differenced. The HES found no statistical significance in pterygia between men and women, which is consistent with some reports.9, 21, 28, 29 From two studies conducted in China, women were at higher risk than men.10, 20 The Blue Mountains Eye study21 and the Tanjong Pagar survey15 found that men were at higher risk than women; similar results were found by McCarty et al9 and Moran and Hollows.26

The survey found that the participants who seldom use sunglasses and/or wear a hat when they are outside had a positive association to pterygium (OR 1.5; 95% CI, 1.2, 1.9 and OR 1.3; 95% CI, 1.1, 1.7, respectively). This result was similar to the Barbados Eye Study23 and Rosenthal et al.30 We believe the protective mechanism is related to the ability of glasses and a hat to block ultraviolet-B wavelengths of sunlight or to shield the eye from other harmful environmental exposures, since hazardous environmental factors play a very important role in pterygium formation.

The HES found a positive association between dry eye symptoms and pterygium (OR 1.9; 95% CI, 1.5, 2.5). This finding is consistent with a population-based study in Indonesia (OR 1.8; 95% CI, 1.4, 2.5).31 A case–control study has found an association between pterygium and a shortened tear breakup time and Schirmer's test.32 In HES, pterygium was also strongly associated with Schirmer's test (5 mm) (OR 2.4; 95% CI, 1.9, 3.1) and tear breakup time (10 s) (OR 2.3; 95% CI, 1.8, 2.9). We believe that pterygium may possibly be a distant surrogate for the environmental factors associated with dry eye, such as ultraviolet light quantities and a dusty polluted environment, which have been implicated in pterygium formation.33

Strengths of this survey include the population-based approach, minimizing the selection bias, and the examination of all subjects by a single ophthalmologist, minimizing inter-observer error. However, several limitations may affect the reliability of this survey. A total of 84.9% of the enumerated samples were examined. People living in inaccessible terrain and/or at the extremes of altitude were under-represented. These people may have a higher prevalence of pterygium. Participants’ self-reported demographic data were assessed, which may have led to a subject bias, for example, the family economic situation.

In conclusion, pterygium is a significant public health problem in Henan County, primarily due to ocular sun exposure and the effects of the unique plateau climate, and representing an important health problem. The independent increase with age is consistent with previous findings. The other risk factors are dry eye sings and symptoms, seldom use of sunglasses or hat, alcohol intake, lower education level, and a lower economic status. People should be strongly encouraged to wear a wide-brimmed hat and/or sunglasses whenever they are outside.