Future burden of vision loss in Australia: Projections from the National Eye Health Survey.

IMPORTANCE: Projections of Australia's future burden of vision loss will inform eye health service delivery. BACKGROUND: This study aimed to forecast bilateral vision loss in Australia from 2020 to 2050. DESIGN: Population-based survey. PARTICIPANTS: Indigenous and non-indigenous Australians (n = 4253) aged ≥50 years from the National Eye Health Survey (NEHS, 2015-2016). METHODS: Using the age-and-sex-stratified prevalence of vision loss (better eye visual acuity <6/12) from the NEHS, the prevalence of, and number of people aged ≥50 years with, vision loss were forecast to 2050 using Australian census projections. MAIN OUTCOME MEASURE: Prevalence of, and number of Australians with, vision loss from 2020 to 2050. RESULTS: The prevalence of vision loss is predicted to increase from 6.7% to 7.5% by 2050. Owing to population dynamics, the estimated number of Australians ≥50 years old with vision loss will nearly double from 532 386 in 2016 to 1 015 021 in 2050. The greatest increase in vision loss is expected to occur in those aged ≥80 years (2.6-fold, 2016 = 144 240; 2050 = 376 296). The number of people with uncorrected refractive error is projected to increase 1.7-fold, from 331 914 in 2016 to 578 969 in 2050. CONCLUSIONS AND RELEVANCE: Due to population growth and ageing, the future burden of vision loss in Australia is likely to increase, but the magnitude of this change is uncertain due to a lack of available data on some relevant input variables. Nonetheless, efforts are required to ensure early detection and treatment of major eye conditions, particularly treatable conditions such as uncorrected refractive error and cataract.

Prevalence, associations and characteristics of severe uncorrected refractive error in the Australian National Eye Health Survey.

IMPORTANCE: In Australia, nationally representative data of the burden and associations of severe uncorrected refractive error are scarce. BACKGROUND: To report the prevalence and characteristics of severe uncorrected refractive error in Indigenous and non-Indigenous Australians. DESIGN: Population-based cross-sectional study. PARTICIPANTS: A total of 3098 non-Indigenous Australians aged 50 to 98 and 1738 Indigenous Australians aged 40 to 92 living in 30 randomly selected Australian sites were examined. METHODS: Severe uncorrected refractive error was defined as an improvement of ≥2 lines on the logMAR chart in one or both eyes in participants with a presenting visual acuity <6/12. MAIN OUTCOME MEASURE: Severe uncorrected refractive error RESULTS: Prevalence of severe uncorrected refractive error was 11.0% (95% confidence interval 9.3-13.0) in non-Indigenous and 14.5% (12.5-16.7) in Indigenous Australians. Eighty-two percent of non-Indigenous and 77% of Indigenous participants had a spherical equivalent refraction between -2.00D and +2.00D. Indigenous Australians who were older (odds ratio [OR] for 70-79 years vs 40-49 years = 3.59), resided in outer regional areas (OR = 1.78) and did not have an eye examination in the previous 2-years (OR = 1.50) were associated with higher odds of severe uncorrected refractive error. Geographical remoteness (OR = .68 for inner regional), male gender (OR = 1.30), older age (OR for 70-79 years vs 50-59 years = 1.51) and failure to have an eye examination in the previous 2-years (OR = 2.06) were associated with severe uncorrected refractive error among non-Indigenous participants. CONCLUSIONS AND RELEVANCE: Increased public awareness of the importance of regular optometric examinations may be required in groups at high risk of severe uncorrected refractive error.

Utilization of eye health-care services in Australia: the National Eye Health Survey.

IMPORTANCE: National data on eye health-care service utilization will inform Australia's eye health policy. BACKGROUND: To investigate the utilization of eye health-care services by Australians. DESIGN: Cross-sectional survey. PARTICIPANTS: Indigenous Australians aged 40 years and older and non-Indigenous Australians aged 50 years and older. METHODS: One thousand seven hundred thirty-eight Indigenous Australians and 3098 non-Indigenous Australians were recruited from 30 randomly selected sites, stratified by remoteness. Sociodemographic, ocular history and eye health-care service utilization data were collected, and an eye examination was conducted. MAIN OUTCOME MEASURES: Recentness of eye examinations, types of providers used and associated risk factors. RESULTS: Approximately 67.0% of Indigenous Australians and 82.5% of non-Indigenous Australians underwent an eye examination within the previous 2 years. Indigenous status (P < 0.001), male gender (P < 0.001), Outer Regional (P < 0.001) and Very Remote (P < 0.001) residence were associated with less recent examinations. Participants with >self-reported eye disease or diabetes were most likely to have been examined within the past year (P < 0.001). For Indigenous Australians, older age was associated with recent eye testing (P = 0.001). Those with retinal disease and cataract were more likely to see an ophthalmologist (P < 0.001), and those with refractive error were more likely to see an optometrist (P < 0.001). In Regional Australia, non-Indigenouspeople were more likely to see optometrists (P < 0.001), and Indigenous Australians were more likely to utilize other, non-specialistservices (P < 0.001). CONCLUSIONS AND RELEVANCE: Eye examination frequency has improved in Indigenous and non-Indigenous Australians compared with previous population-based research. Further improvements are required in risk groups including Indigenous Australians and those living in Regional and Remote areas.

Prevalence and characteristics of choroidal nevi: the Australian National Eye Health Survey.

IMPORTANCE: Choroidal nevi are a common incidental finding on fundus examination. The National Eye Health Survey (NEHS, 2015-2016) provides an up-to-date estimate of the prevalence of choroidal nevi in non-Indigenous and Indigenous Australian adults. BACKGROUND: To describe the prevalence and characteristics of choroidal nevi among non-Indigenous and Indigenous Australian adults. DESIGN: Population-based cross-sectional study. PARTICIPANTS: This study included 3098 non-Indigenous Australians (aged 50-98 years) and 1738 Indigenous Australians (aged 40-92 years) living in 30 randomly selected sites, stratified by remoteness. METHODS: Choroidal nevi were graded from retinal photographs using standard protocols. MAIN OUTCOME MEASURES: Prevalence of choroidal nevi. RESULTS: In the non-Indigenous population aged 50 years and over, the weighted prevalence of choroidal nevi was 2.1% (95% CI: 1.4, 3.3). Among Indigenous Australians aged 40 years and over, the weighted prevalence of choroidal nevi was 0.68% (95% CI: 0.4, 1.3). The average maximum diameter, surface area and distance from the disc of the choroidal nevi was 1730 µm, 2 766 800 µm2 and 3400 µm, respectively. After multivariate adjustments, Indigenous participants (OR = 0.28, P = 0.01) and those of older age (OR = 0.79 per 10 years, P = 0.02) were less likely to have choroidal nevi. Choroidal nevus was not the primary cause of vision loss in any participant. CONCLUSIONS AND RELEVANCE: Choroidal nevi were relatively infrequent among NEHS participants, however non-Indigenous Australians had a significantly higher prevalence than Indigenous Australians. Choroidal nevi did not affect visual acuity and the majority were small.

Prevalence of retinal vein occlusion in the Australian National Eye Health Survey.

IMPORTANCE: In Australia, knowledge of the epidemiology of retinal vein occlusion remains scarce because of a paucity of recent population-based data. The National Eye Health Survey (2015-2016) provides an up-to-date estimate of the prevalence of retinal vein occlusion in non-Indigenous and Indigenous Australian adults. BACKGROUND: To determine the prevalence and associations of retinal vein occlusion in a national sample of Indigenous and non-Indigenous Australian adults. DESIGN: Population-based cross-sectional study. PARTICIPANTS: A total of 3098 non-Indigenous Australians (aged 50-98 years) and 1738 Indigenous Australians (aged 40-92 years) living in 30 randomly selected sites, stratified by remoteness. METHODS: Retinal vein occlusions were graded from retinal photographs using standardized protocols and recorded as central retinal vein occlusion or branch retinal vein occlusion. MAIN OUTCOME MEASURE: Prevalence of retinal vein occlusion. RESULTS: In the non-Indigenous population, the sampling weight adjusted prevalence of any retinal vein occlusion was 0.96% (95% confidence interval: 0.59, 1.6), with branch retinal vein occlusion observed in 0.72% (95% confidence interval: 0.41, 1.2) and central retinal vein occlusion in 0.24% (95% confidence interval: 0.13, 0.47). Any retinal vein occlusion was found in 0.91% (95% confidence interval: 0.47, 1.7) of Indigenous Australians aged 40 years and over, with branch retinal vein occlusion observed in 0.83% (95% confidence interval: 0.40, 1.7) and central retinal vein occlusion in 0.07% (95% confidence interval: 0.02, 0.32). Older age (odds ratio = 1.64 per 10 years, P = 0.006) and the presence of self-reported diabetes (odds ratio = 3.24, P = 0.006) were associated with any retinal vein occlusion after multivariable adjustments. Retinal vein occlusion was attributed as the cause of monocular vision loss (<6/12) in seven (0.25%) non-Indigenous and six (0.36%) Indigenous participants. CONCLUSIONS AND RELEVANCE: These data suggest that retinal vein occlusion is relatively uncommon in the non-Indigenous Australians aged 50 years and over and Indigenous Australians aged 40 years and over. Similar to previous Australian and international reports, the prevalence of retinal vein occlusion rose sharply with age.

Prevalence of trachomatous trichiasis in Australia: the National Eye Health Survey.

IMPORTANCE: Australia is the only developed country to still have pockets of endemic trachoma. The research provides up-to-date, population-based prevalence data of later complications of trachoma amongst a national sample of Indigenous adults. BACKGROUND: To report the prevalence of trachomatous trichiasis (TT) in Indigenous Australians aged 40 years and older. DESIGN: Population-based cross-sectional study. PARTICIPANTS: A total of 1738 (41% male) Indigenous Australians aged 40 years or older, living amongst 30 randomly selected Australian sites, stratified by remoteness. METHODS: Anterior segment examination was performed and trachoma grading for the presence of TT and corneal opacification (CO) was conducted using the WHO (WHO) simplified grading system. MAIN OUTCOME MEASURES: Prevalence of TT. RESULTS: A total of three (0.17%) participants had TT, and there were no confirmed cases of trachomatous CO in the NEHS. All three participants with TT were female and aged 40 years or older. Although they had likely spent their childhoods in more remote areas, two of the three confirmed cases resided in an urban and outer regional area at the time of their examinations. CONCLUSIONS AND RELEVANCE: Our data are in line with ongoing national trachoma surveillance reports that suggest the prevalence of late sequences of trachoma appear to be decreasing in Australia.

The Prevalence of Diabetic Retinopathy in Australian Adults with Self-Reported Diabetes: The National Eye Health Survey.

PURPOSE: To determine the prevalence of and factors associated with diabetic retinopathy (DR) among non-Indigenous and Indigenous Australian adults with self-reported diabetes. DESIGN: Population-based cross-sectional study. PARTICIPANTS: Non-Indigenous Australians (50-98 years of age) and Indigenous Australians (40-92 years of age) with known diabetes. METHODS: Diabetes was determined based on self-report of previous diagnosis of the disease. Nonmydriatic fundus photographs were obtained of each eye and graded according to the modified Airlie House classification system. MAIN OUTCOME MEASURES: Any DR, vision-threatening DR (VTDR), treatment coverage rates (proportion of participants with proliferative DR [PDR], clinically significant macular edema [CSME], or both who had evidence of retinal scatter and focal laser treatment). RESULTS: Four hundred thirty-one non-Indigenous Australians (13.9%) and 645 Indigenous Australians (37.1%) self-reported diabetes, of whom 93% (1004/1076) had retinal images that were gradable for DR. The sampling weight-adjusted prevalence of any DR and VTDR among non-Indigenous adults with self-reported diabetes was 28.5% (95% confidence interval [CI], 22.6-35.3) and 4.5% (95% CI, 2.6-7.9), respectively. Among adults 40 years of age and older, the sampling weight-adjusted prevalence of any DR and VTDR was 39.4% (95% CI, 33.1-46.1) and 9.5% (95% CI, 6.8-13.1), respectively. Longer diabetes duration was associated significantly with VTDR in the Indigenous Australian population (odds ratio [OR], 1.08 per 1-year increase; P = 0.005) and non-Indigenous Australian population (OR, 1.05 per 1-year increase; P = 0.03). The treatment coverage of PDR and CSME was 75% (56/75) in Indigenous Australians and 79% (15/19) in non-Indigenous Australians. Diabetic retinopathy was attributed as the main cause of vision loss (<6/12 in the better eye) in 9% and 19% of non-Indigenous and Indigenous Australian adults with known diabetes, respectively. CONCLUSIONS: Three quarters of non-Indigenous and Indigenous Australian adults with PDR or CSME have received laser treatment. The prevalence of VTDR in Indigenous and non-Indigenous Australians in the present study was lower than that found in previous population-based reports, nevertheless, approximately 1 in 10 Indigenous adults with known diabetes experience VTDR. This highlights that intensified prevention strategies are required to delay or prevent avoidable vision loss resulting from DR in Indigenous Australian communities.

The Prevalence and Causes of Vision Loss in Indigenous and Non-Indigenous Australians: The National Eye Health Survey.

PURPOSE: To conduct a nationwide survey on the prevalence and causes of vision loss in Indigenous and non-Indigenous Australians. DESIGN: Nationwide, cross-sectional, population-based survey. PARTICIPANTS: Indigenous Australians aged 40 years or older and non-Indigenous Australians aged 50 years and older. METHODS: Multistage random-cluster sampling was used to select 3098 non-Indigenous Australians and 1738 Indigenous Australians from 30 sites across 5 remoteness strata (response rate of 71.5%). Sociodemographic and health data were collected using an interviewer-administered questionnaire. Trained examiners conducted standardized eye examinations, including visual acuity, perimetry, slit-lamp examination, intraocular pressure, and fundus photography. The prevalence and main causes of bilateral presenting vision loss (visual acuity <6/12 in the better eye) were determined, and risk factors were identified. MAIN OUTCOME MEASURES: Prevalence and main causes of vision loss. RESULTS: The overall prevalence of vision loss in Australia was 6.6% (95% confidence interval [CI], 5.4-7.8). The prevalence of vision loss was 11.2% (95% CI, 9.5-13.1) in Indigenous Australians and 6.5% (95% CI, 5.3-7.9) in non-Indigenous Australians. Vision loss was 2.8 times more prevalent in Indigenous Australians than in non-Indigenous Australians after age and gender adjustment (17.7%, 95% CI, 14.5-21.0 vs. 6.4%, 95% CI, 5.2-7.6, P < 0.001). In non-Indigenous Australians, the leading causes of vision loss were uncorrected refractive error (61.3%), cataract (13.2%), and age-related macular degeneration (10.3%). In Indigenous Australians, the leading causes of vision loss were uncorrected refractive error (60.8%), cataract (20.1%), and diabetic retinopathy (5.2%). In non-Indigenous Australians, increasing age (odds ratio [OR], 1.72 per decade) and having not had an eye examination within the past year (OR, 1.61) were risk factors for vision loss. Risk factors in Indigenous Australians included older age (OR, 1.61 per decade), remoteness (OR, 2.02), gender (OR, 0.60 for men), and diabetes in combination with never having had an eye examination (OR, 14.47). CONCLUSIONS: Vision loss is more prevalent in Indigenous Australians than in non-Indigenous Australians, highlighting that improvements in eye healthcare in Indigenous communities are required. The leading causes of vision loss were uncorrected refractive error and cataract, which are readily treatable. Other countries with Indigenous communities may benefit from conducting similar surveys of Indigenous and non-Indigenous populations.

Adherence to diabetic eye examination guidelines in Australia: the National Eye Health Survey.

OBJECTIVE: To determine adherence to NHMRC eye examination guidelines for Indigenous and non-Indigenous Australian people with diabetes. DESIGN: Cross-sectional survey using multistage, random cluster sampling. SETTING: Thirty randomly selected geographic sites in the five mainland Australian states and the Northern Territory, stratified by remoteness. PARTICIPANTS: 1738 Indigenous Australians aged 40-92 years and 3098 non-Indigenous Australians aged 50-98 years were recruited and examined between March 2015 and April 2016 according to a standardised protocol that included a questionnaire (administered by an interviewer) and a series of standard eye tests. MAIN OUTCOME MEASURES: Adherence rates to NHMRC eye examination guidelines; factors influencing adherence. RESULTS: Adherence to screening recommendations was significantly greater among non-Indigenous Australians (biennial screening; 77.5%) than Indigenous Australians (annual screening; 52.7%; P < 0.001). Greater adherence by non-Indigenous Australians was associated with longer duration of diabetes (adjusted odds ratio [aOR], 1.19 per 5 years; P = 0.018), while increasing age was associated with poorer adherence in non-Indigenous Australians (aOR, 0.70 per decade; P = 0.011). For Indigenous Australians, residing in inner regional areas (aOR, 1.66; P = 0.007) and being male (aOR, 1.46; P = 0.018) were significant factors positively associated with adherence. CONCLUSIONS: More than three-quarters of non-Indigenous Australians with diabetes and more than half of Indigenous Australians with diabetes adhere to the NHMRC eye examination guidelines. The discrepancy between the adherence rates may point to gaps in the provision or uptake of screening services in Indigenous communities, or a lack of awareness of the guidelines. A carefully integrated diabetic retinopathy screening service is needed, particularly in remote areas, to improve adherence rates.

Cataract surgery coverage rates for Indigenous and non-Indigenous Australians: the National Eye Health Survey.

OBJECTIVE: To determine cataract surgery coverage rates for Indigenous and non-Indigenous Australians. DESIGN: National cross-sectional population-based survey. SETTING: Thirty randomly selected Australian geographic sites, stratified by remoteness. PARTICIPANTS: 3098 non-Indigenous Australians aged 50 years or more and 1738 Indigenous Australians aged 40 years or more, recruited and examined in the National Eye Health Survey (NEHS) between March 2015 and April 2016. METHODS: Participants underwent an interviewer-administered questionnaire that collected socio-demographic information and past ocular care history, including cataract surgery. For those with visual acuity worse than 6/12, anterior segment photography and slit lamp examinations were conducted. MAIN OUTCOME MEASURES: Cataract surgery coverage rates according to WHO and NEHS definitions; associated risk factors. RESULTS: Cataract surgery coverage rates calculated with the NEHS definition 1 of vision impairment (visual acuity worse than 6/12) were lower for Indigenous than non-Indigenous participants (58.5% v 88.0%; odds ratio [OR], 0.32; P < 0.001). According to the World Health Organization definition (eligibility criterion: best-corrected visual acuity worse than 6/18), coverage rates were 92.5% and 98.9% for Indigenous and non-Indigenous Australians respectively. Greater age was significantly associated with higher cataract surgery coverage in Indigenous (OR, 1.41 per 10 years; P = 0.048) and non-Indigenous Australians (OR, 1.58 per 10 years; P = 0.004). CONCLUSIONS: The cataract surgery coverage rate was higher for non-Indigenous than Indigenous Australians, indicating the need to improve cataract surgery services for Indigenous Australians. The WHO definition of the coverage rate may overestimate the cataract surgery coverage rate in developed nations and should be applied with caution.

Emerging ocular biomarkers of Alzheimer disease.

Interest in reliable biomarkers of Alzheimer disease, the leading cause of dementia, has been fuelled by challenges in diagnosing the disease and monitoring disease progression as well as the response to therapy. A range of ocular manifestations of Alzheimer disease, including retinal and lens amyloid-beta accumulation, retinal nerve fiber layer loss, and retinal vascular changes, have been proposed as potential biomarkers of the disease. Herein, we examine the evidence regarding the potential value of these ocular biomarkers of Alzheimer disease.

Sampling methodology and site selection in the National Eye Health Survey: an Australian population-based prevalence study.

BACKGROUND: This paper presents the sampling methodology of the National Eye Health Survey that aimed to determine the prevalence of vision impairment and blindness in Australia. DESIGN: The National Eye Health Survey is a cross-sectional population-based survey. PARTICIPANTS: Indigenous Australians aged 40 years and older and non-Indigenous Australians aged 50 years and older residing in all levels of geographic remoteness in Australia. METHODS: Using multistage, random-cluster sampling, 30 geographic areas were selected to provide samples of 3000 non-Indigenous Australians and 1400 Indigenous Australians. Sampling involved (i) selecting Statistical Area- Level 2 sites, stratified by remoteness; (ii) selecting Statistical Area- Level 1 sites within Statistical Area- Level 2 sites to provide targeted samples; and (iii) grouping of contiguous Statistical Area- Level 1 sites or replacing Statistical Area- Level 1 sites to provide sufficient samples. MAIN OUTCOME MEASURES: The main outcome measures involved Sites sites selected and participants sampled in the survey. RESULTS: Thirty sites were generated, including 12 Major City sites, 6 Inner Regional sites, 6 Outer Regional sites, 4 Remote sites and 2 Very Remote sites. Three thousand ninety-eight non-Indigenous participants and 1738 Indigenous participants were recruited. Selection of Statistical Area- Level 1 site overestimated the number of eligible residents in all sites. About 20% (6/30) of Statistical Area- Level 1 sites were situated in non-residential bushland, and 26.67% (8/30) of Statistical Area- Level 1 populations had low eligibility or accessibility, requiring replacement. CONCLUSIONS: Representative samples of Indigenous and non-Indigenous Australians were selected, recruited and tested, providing the first national data on the prevalence of vision impairment and blindness in Australia.

Study methodology and diabetes control in patients from the non-English diabetes management project (NEDMP).

BACKGROUND: To describe the clinical characteristics of non-English speaking patients from the Diabetes Management Project (NEDMP), and compare their diabetes management and severity of diabetic retinopathy (DR) with the English-speaking DMP sample (EDMP). DESIGN: A prospective study was conducted on non-English speaking adults with diabetes who attended the Royal Victorian Eye and Ear Hospital. PARTICIPANTS: 136 (90.1%) non-English speaking adults were assessed, with a mean age of 72.2 years (range: 50-88 years); 74 (54.4%) were male. METHODS: Participants completed interviewer-administered questionnaires and underwent visual acuity, fundus photography, optical coherence tomography, biochemistry and anthropometric measurements. The EDMP assessed 609 patients in 2009 using a similar protocol. MAIN OUTCOME MEASURES: Type and duration of diabetes, diabetes control and diabetic retinopathy. RESULTS: A total of 127 (93.4%) and 8 (5.9%) participants reported having type 2 and type 1 diabetes, respectively, with a median (IQR) duration of 17 (14) years. The proportion of patients with poor diabetes control (HbA1c ≥ 7%) in the NEDMP was similar to the EDMP (64.0% and 68.2%, respectively; P = 0.411). A significantly higher proportion of patients with DR in the NEDMP were found to have poor diabetes control (HbA1c ≥ 7%) compared to those without DR (80.9% vs. 50.0%, P = 0.003). Almost two-thirds of NEDMP patients (74/118) had DR and 23% (27/115) had diabetic macular edema. The prevalence of DR was similar between the NEDMP and EDMP studies, ranging from 25-30% and 28-29%. CONCLUSIONS: The clinical characteristics, diabetes control, and DR severity of English and non-English-speaking patients were similar. The high proportion of poor diabetes management in non-English speaking patients with DR suggests educational and behavioural interventions to improve glycaemic control are warranted.

The Prevalence of Self-Reported Stroke in the Australian National Eye Health Survey.

BACKGROUND AND PURPOSE: The study aimed to determine the prevalence of and risk factors for self-reported stroke in Indigenous and non-Indigenous Australians. RESEARCH DESIGN AND METHODS: In this national eye study, 1738 Indigenous Australians (41.1% male) aged 40-92 years and 3098 non-Indigenous Australians (46.4% male) aged 50-98 years from 30 randomly selected sites, stratified by remoteness, were recruited and examined. Sociodemographic information and a history of stroke, diabetes, and ocular health were obtained using an interviewer-administered questionnaire. RESULTS: The crude prevalence of self-reported stroke was 5.04% (156 of 3098, 95% confidence interval: 4.29%-5.87%) for non-Indigenous Australians and 8.75% (152 of 1738, 95% confidence interval: 7.46%-10.17%) for Indigenous Australians (P < .0001). The age-adjusted prevalence of self-reported stroke for non-Indigenous and Indigenous Australians was 4.23% and 12.72%, respectively. The prevalence of stroke increased significantly with age for both Indigenous (odds ratio = 1.06 per year, P ≤ .001) and non-Indigenous Australians (odds ratio = 1.04 per year, P ≤ .001), with the Indigenous prevalence being higher than that of the non-Indigenous group at every age. CONCLUSIONS: The prevalence of self-reported stroke was 3 times higher in Indigenous Australians than in non-Indigenous Australians. This disparity is consistent with previous reports, highlighting the need for intensified prevention and support services to reduce the burden of stroke on Indigenous Australians.

The age-specific prevalence of myopia in Asia: a meta-analysis.

PURPOSE: To estimate the age-specific prevalence of myopia in Asia. METHODS: We searched PubMed, Embase, and Web of Science from their inception through September 2013 for population-based surveys reporting the prevalence of myopia in adults or children in Asia. We pooled the prevalence estimates for myopia by age groups and by year of birth using a random-effects model. RESULTS: We identified 50 eligible population-based studies including 215,672 subjects aged 0 to 96 years reporting the prevalence of myopia from 16 Asian countries or regions. Myopia was found to be most prevalent (96.5%; 95% confidence interval, 96.3 to 96.8) in Koreans aged 19 years. There was no significant linear age group effect on the prevalence of myopia in the whole Asian population but there was a U-shaped relationship between both age and year of birth and the prevalence of myopia. The prevalence of myopia was also higher in those older than 70 years (36.3%; 95% confidence interval, 27.6 to 45.0) compared with other age groups, which revealed nuclear cataract-myopia shifts in refraction. CONCLUSIONS: There is a large variation in the age-specific prevalence of myopia in Asia. A U-shaped relationship between age and the prevalence of myopia was found in the whole Asian population. The analysis is essential to guide future eye health care, intervention, and clinical management in Asia.

Physical inactivity as a risk factor for diabetic retinopathy? A review.

Physical inactivity and sedentary behaviour have been identified as modifiable risk factors for diabetes. However, little is known of the associations between physical activity, sedentary behaviour and diabetic retinopathy. The development of diabetic retinopathy is associated with longer duration of diabetes, elevated blood pressure and poor glycaemic control. However these factors only explain a proportion of the risk of retinopathy in individuals with diabetes. Several studies have suggested a protective role for physical activity in diabetic retinopathy. Other work has shown that the time spent watching television is independently associated with abnormal retinal vascular signs. Limitations of the existing studies, such as the absence of objective measures of physical activity, a lack of sedentary behaviour measures, the inclusion of only those with type 1 diabetes and a lack of longitudinal data, make it difficult to draw firm conclusions about the strength of these associations.

The impact of diabetic retinopathy on quality of life: qualitative findings from an item bank development project.

PURPOSE: Assessing the efficacy of treatment modalities for diabetic retinopathy (DR) from the patient's perspective is restricted due to a lack of a comprehensive patient-reported outcome measure. We are developing a DR-specific quality of life (QoL) item bank, and we report here on the qualitative results from the first phase of this project. METHODS: Eight focus groups and 18 semi-structured interviews were conducted with 57 patients with DR. The sessions were transcribed verbatim and iteratively analysed using the constant comparative method and NVIVO software. RESULTS: Participants had a median age of 58 years (range 27-83 years). Twenty-seven (47%) participants had proliferative DR in the better eye, and 14 (25%) had clinically significant macular oedema. Nine QoL domains were identified, namely visual symptoms, ocular surface symptoms, vision-related activity limitation, mobility, emotional well-being, health concerns, convenience, social, and economic. Participants described many vision-related activity limitations, particularly under challenging lighting conditions; however, socioemotional issues were equally important. Participants felt frustrated due to their visual restrictions, concerned about further vision loss and had difficulty coping with this uncertainty. Restrictions on driving were pervasive, affecting transport, social life, relationships, responsibilities, work and independence. CONCLUSIONS: Patients with DR experience many socioemotional issues in addition to vision-related activity limitations. Data from this study will be used to generate data for a DR-specific QoL item bank.