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Dive into the research topics where George Burlutsky is active.

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Featured researches published by George Burlutsky.


Archives of Ophthalmology | 2008

Myopia, Lifestyle, and Schooling in Students of Chinese Ethnicity in Singapore and Sydney

Kathryn A. Rose; Ian G. Morgan; Wayne Smith; George Burlutsky; Paul Mitchell; Seang-Mei Saw

OBJECTIVE To compare the prevalence and risk factors for myopia in 6- and 7-year-old children of Chinese ethnicity in Sydney and Singapore. METHODS Two cross-sectional samples of age- and ethnicity-matched primary school children participated: 124 from the Sydney Myopia Study and 628 from the Singapore Cohort Study on the Risk Factors for Myopia. Cycloplegic autorefraction was used to determine myopia prevalence (spherical equivalent < or = -0.5 diopter). Lifestyle activities were ascertained by questionnaire. RESULTS The prevalence of myopia in 6- and 7-year-old children of Chinese ethnicity was significantly lower in Sydney (3.3%) than in Singapore (29.1%) (P < .001). The prevalence of myopia in 1 or more parents was 68% in Sydney and 71% in Singapore. Children in Sydney read more books per week (P < .001) and did more total near-work activity (P = .002). Children in Sydney spent more time on outdoor activities (13.75 vs 3.05 hours per week; P < .001), which was the most significant factor associated with the differences in the prevalence of myopia between the 2 sites. CONCLUSIONS The lower prevalence of myopia in Sydney was associated with increased hours of outdoor activities. We hypothesize that another factor contributing to the differences in the prevalence of myopia may be the early educational pressures found in Singapore but not in Sydney.


Investigative Ophthalmology & Visual Science | 2008

Myopia and the Urban Environment: Findings in a Sample of 12-Year-Old Australian School Children

Jenny M. Ip; Kathryn A. Rose; Ian G. Morgan; George Burlutsky; Paul Mitchell

PURPOSE To examine associations between myopia and measures of urbanization in a population-based sample of 12-year-old Australian children. METHODS Questionnaire data on sociodemographic and environmental factors including ethnicity, parental education, and time spent in near work and outdoor activities were collected from 2367 children (75.0% response) and their parents. Population density data for the Sydney area were used to construct five urban regions. Myopia was defined as spherical equivalent refraction </= -0.50 D. RESULTS Myopia prevalence was lowest in the outer suburban region (6.9%) and highest in the inner city region (17.8%), with mean refraction tending toward greater myopia by region (outer suburban to inner city), after adjustment for age, sex, ethnicity, near work, outdoor activity, and parental myopia. Multivariate-adjusted analyses confirmed greater odds for myopia in regions of higher population density (P(trend) = 0.0001). Myopia was significantly more prevalent among children living in apartment residences than other housing types (chi(2) < 0.0001), after adjustment for ethnicity, near work, and outdoor activity. Housing density (measured as the number of houses visible from a front door) was not significantly associated with myopia (chi(2) = 0.1). For both European Caucasian and East Asian children, myopia was most prevalent in the inner city region (8.1% and 55.1%, for European Caucasian and East Asian, respectively). CONCLUSIONS The higher myopia prevalence in inner city-urban areas compared with outer suburban areas for this large childhood sample suggest that even moderate environmental differences within a predominantly urban setting may be associated with increased odds of myopia. These findings are consistent with previous reports of rural-urban differences in childhood myopia.


Pediatrics | 2012

Physical Activity and Sedentary Behaviors and Health-Related Quality of Life in Adolescents

Bamini Gopinath; Louise A. Baur; George Burlutsky; Paul Mitchell

OBJECTIVE: Our goal was to assess cross-sectional and longitudinal associations between physical activity and sedentary behaviors (television viewing, computer and video-game usage, and reading) with health-related QoL. METHODS: Of 2353 children surveyed (median age: 12.7 years), 1216 were resurveyed 5 years later, and 475 were newly recruited into the study (N = 1691). Children completed detailed activity questionnaires. Health-related QoL was assessed by using the Pediatric Quality of Life Inventory (PedsQL). RESULTS: Cross-sectionally, after multivariable adjustment, adolescents in the highest versus lowest tertile of time spent in outdoor physical activity and television viewing had a higher (Ptrend = .001) and lower (Ptrend = .0003) total PedsQL score, respectively. Adolescents who remained in the highest tertiles compared with those in the lowest tertiles of total physical activity over the 5 years had significantly higher scores in the following areas: total (Ptrend = .04), physical summary (Ptrend = .0001), and social (Ptrend = .02) domains. Conversely, those in the highest versus lowest tertile of screen-viewing time during follow-up reported significantly lower values in the following areas: total score (6.34-unit difference), physical summary (4.86-unit difference), psychosocial summary (7.09-unit difference), and emotional (8.33-unit difference) and school (9.78-unit difference) domains. CONCLUSIONS: Regular physical activity over the long-term was associated with higher perceived health-related QoL among adolescents. Conversely, lower PedsQL scores were observed among those who spent the most time in screen-viewing activities. Improved understanding of these relationships could help in developing interventions to promote general well-being among adolescents.


Journal of the American Geriatrics Society | 2009

Depressive symptoms in older adults with hearing impairments: the Blue Mountains Study.

Bamini Gopinath; Jie Jin Wang; Julie A. Schneider; George Burlutsky; John Snowdon; Catherine M. McMahon; Stephen Leeder; Paul Mitchell

1. Scheffer AC, Schuurmans MJ, van Dijk N et al. Fear of falling: Measurement strategy, prevalence, risk factors and consequences among older persons. Age Ageing 2008;37:19–24. 2. Friedman SM, Munoz B, West SK et al. Falls and fear of falling: Which comes first? A longitudinal prediction model suggests strategies for primary and secondary prevention. J Am Geriatr Soc 2002;50:1329–1335. 3. Legters K. Fear of falling. Phys Ther 2002;82:264–272. 4. Podsiadlo D, Richardson S. ‘‘The Timed Up & Go’’: A test of basic functional mobility for frail elderly persons. J Am Geriatr Soc 1991;39:142–149. 5. Brodaty H, Pond D, Kemp NM et al. The GPCOG: A new screening test for dementia designed for general practice. J Am Geriatr Soc 2002;50: 530–534. 6. Lord SR, Ward JA, Williams P et al. Physiological factors associated with falls in older community-dwelling women. J Am Geriatr Soc 1994;42:1110– 1117. 7. Fried LP, Bandeen-Roche K, Kasper JD et al. Association of comorbidity with disability in older women: The Women’s Health and Aging Study. J Clin Epidemiol 1999;52:27–37.


Nutrition Metabolism and Cardiovascular Diseases | 2013

Higher regular fat dairy consumption is associated with lower incidence of metabolic syndrome but not type 2 diabetes

Jimmy Chun Yu Louie; Victoria M. Flood; Anna Rangan; George Burlutsky; Tim Gill; Bamini Gopinath; Paul Mitchell

BACKGROUND AND AIMS Limited evidence suggests habitual dairy consumption to be protective against metabolic syndrome (MetSyn) and type 2 diabetes among older adults. We assessed the association of baseline consumption of dairy products with the incidence of MetSyn and type 2 diabetes among a cohort of Australian adults aged 49 years and over. METHODS AND RESULTS A validated 145-item semi-quantitative food frequency questionnaire was used to assess food and nutrient intake at baseline. Ten-year incidence of MetSyn and type 2 diabetes were obtained from 1807 and 1824 subjects respectively. Odds ratios (OR) were calculated by discrete time logistic regression modelling. Compared with subjects in the lowest intake quartile of regular fat dairy products, those in the highest quartile had a 59% lower risk of MetSyn (multivariate adjusted OR: 0.41; 95% CI: 0.23-0.71; p(trend) = 0.004), after adjustment for risk factors. Among obese subjects, an association between a high intake of regular fat dairy foods and reduced risk of type 2 diabetes was also found (age and sex adjusted OR 0.37; 95% CI: 0.16-0.88; p(trend) = 0.030), but the association did not persist after adjustment for additional confounders. There was no association between total dairy consumption and risk of MetSyn or type 2 diabetes. CONCLUSIONS We found an inverse association between regular fat dairy consumption and risk of MetSyn among Australian older adults. Further studies are warranted to examine the association between weight status, dairy consumption and risk of type 2 diabetes.


Ophthalmology | 2010

Distribution of axial length and ocular biometry measured using partial coherence laser interferometry (IOL Master) in an older white population.

Reena Fotedar; Jie Jin Wang; George Burlutsky; Ian G. Morgan; Kathryn A. Rose; Tien Yin Wong; Paul Mitchell

PURPOSE We aimed to describe norms for the distribution of axial length (AL) and other ocular biometric parameters in an older Caucasian population, measured using partial coherence laser interferometry (Zeiss IOL Master; Carl Zeiss AG, Oberkochen, Germany), a technique now routinely used in measuring AL before cataract surgery. We also aimed to assess age and gender relationships with these parameters and their correlations with spherical equivalent refraction (SER). DESIGN Cross-sectional analysis of the Blue Mountains Eye Study (BMES) cohort at the examinations (10-year follow-up examination). PARTICIPANTS From 2002 to 2004, 1952 persons (76% of surviving baseline BMES participants) aged 59 years or older had ocular biometry measured at the 10-year examinations. METHODS Spherical equivalent refraction was calculated as the sum of sphere +0.5 cylinder power, after protocol refraction. Measurements of AL, corneal curvature (K1), anterior chamber depth (ACD), and corneal diameter (WTW) were performed using the IOL Master. Only right phakic eyes (n = 1335) with biometry data were included. MAIN OUTCOME MEASURES Axial length distribution. RESULTS Mean AL was 23.44 mm (95% confidence interval [CI], 23.38-23.50) and was greater in men, 23.76 mm (CI, 23.68-23.84), than in women, 23.19 mm (CI, 23.11-23.27). The mean K1, ACD, and WTW were 43.42 diopters (D), 3.10 mm, and 12.06 mm, respectively. The AL and ACD distributions were both positively skewed and peaked, whereas the WTW and K1 distributions were near normal. From age 59 years or older, a mean reduction in AL with age was observed (P for trend = 0.005), 0.12 mm per decade (P = 0.0176) in women but only 0.02 mm per decade (P = 0.6319) in men. Mean SER was 0.58 D, and the distribution was peaked with a negative skew. The SER was negatively correlated with both AL (beta coefficient -0.688) and ACD (beta coefficient -0.222), but not with K1 or WTW. CONCLUSIONS These data provide normative values in the older general population for AL measured using the IOL Master. Axial length distribution was peaked and skewed, suggesting an active modulation process.


Ophthalmology | 2012

Amblyopia Prevalence and Risk Factors in Australian Preschool Children

Amy Pai; Kathryn A. Rose; Jody F. Leone; Sharimawati Sharbini; George Burlutsky; Rohit Varma; Tien Yin Wong; Paul Mitchell

PURPOSE To determine the prevalence of and factors associated with amblyopia in a sample of Australian preschool children. DESIGN Population-based, cross-sectional study. PARTICIPANTS The Sydney Paediatric Eye Disease Study examined 2461 (73.8% participation) children aged between 6 and 72 months from 2007 to 2009. METHODS Visual acuity (VA) was assessed in children aged ≥ 30 months using the Electronic Visual Acuity system, and a subset using the logarithm of the minimum angle of resolution chart. Amblyopia was categorized into unilateral and bilateral subtypes: Unilateral amblyopia was defined as a 2-line difference in reduced VA between the 2 eyes, in addition to strabismus, anisometropia, and/or visual axis obstruction; bilateral amblyopia was defined as bilateral reduced VA with either bilateral visual axis obstruction or significant bilateral ametropia. Information on ethnicity, birth parameters, and measures of socioeconomic status were collected in questionnaires completed by parents. MAIN OUTCOME MEASURES Amblyopia. RESULTS We included 1422 children aged 30 to 72 months, of whom 27 (1.9%) were found to have amblyopia or suspected amblyopia. Mean spherical equivalent for the amblyopic eyes was +3.57 diopters, with a mean VA of 20/50. Only 3 of the 27 amblyopic children had previous diagnoses or treatments for amblyopia. In regression analysis controlling for age, gender, and ethnicity, amblyopia was significantly associated with hyperopia (odds ratio [OR], 15.3; 95% confidence interval [CI], 6.5-36.4), astigmatism (OR, 5.7; 95% CI, 2.5-12.7), anisometropia (OR, 27.8; 95% CI, 11.2-69.3), and strabismus (OR, 13.1; 95% CI, 4.3-40.4). There were no significant associations of amblyopia with low birthweight (<2500 g), preterm birth (<37 weeks), maternal smoking, age, gender, ethnicity, or measures of socioeconomic status (all P>0.05). CONCLUSIONS Amblyopia was found in 1.9% of this Australian preschool sample, which is comparable with prevalence rates reported by other recent studies in preschool children. Refractive errors, particularly significant hyperopia and astigmatism, in addition to anisometropia and strabismus, were the major amblyogenic factors. There was a low amblyopia detection rate in this preschool population, which suggests that different strategies are required to improve current vision screening strategies in preschoolers. FINANCIAL DISCLOSURE(S) The authors have no proprietary or commercial interest in any of the materials discussed in this article.


Age and Ageing | 2012

Hearing-impaired adults are at increased risk of experiencing emotional distress and social engagement restrictions five years later

Bamini Gopinath; Louise Hickson; Julie A. Schneider; Catherine M. McMahon; George Burlutsky; Stephen Leeder; Paul Mitchell

BACKGROUND we aimed to assess both cross-sectional and temporal links between measured hearing impairment and self-perceived hearing handicap, and health outcomes. METHODS in total, 811 Blue Mountains Hearing Study participants (Sydney, Australia) aged ≥55 years were examined twice (1997-99 and 2002-04). Hearing levels were measured with pure-tone audiometry. The shortened version of the hearing handicap inventory (HHIE-S) was administered, scores ≥8 defined hearing handicap. RESULTS baseline hearing impairment was strongly associated with 7 of the 10 HHIE-S questions, 5 years later. Individuals with and without hearing impairment at baseline reported that they felt embarrassed and/or frustrated by their hearing problem, and that it hampered their personal/social life, multivariable-adjusted OR: 11.5 (CI: 3.5-38.1), OR: 6.3 (CI: 2.5-15.7) and OR: 6.0 (CI: 2.1-17.5), respectively, 5 years later. Hearing-impaired, compared with non-hearing-impaired adults had a significantly higher risk of developing moderate or severe hearing handicap, OR: 3.35 (CI: 1.91-5.90) and OR: 6.60 (CI: 1.45-30.00), respectively. Cross-sectionally (at wave 2), hearing handicap increased the odds of depressive symptoms and low self-rated health by 80 and 46%, respectively. CONCLUSION older, hearing-impaired adults were significantly more likely to experience emotional distress and social engagement restrictions (self-perceived hearing handicap) directly due to their hearing impairment.


PLOS ONE | 2013

Dual Sensory Impairment in Older Adults Increases the Risk of Mortality: A Population-Based Study

Bamini Gopinath; Julie A. Schneider; Catherine M. McMahon; George Burlutsky; Stephen Leeder; Paul Mitchell

Although concurrent vision and hearing loss are common in older adults, population-based data on their relationship with mortality is limited. This cohort study investigated the association between objectively measured dual sensory impairment (DSI) with mortality risk over 10 years. 2812 Blue Mountains Eye Study participants aged 55 years and older at baseline were included for analyses. Visual impairment was defined as visual acuity less than 20/40 (better eye), and hearing impairment as average pure-tone air conduction threshold greater than 25 dB HL (500–4000 Hz, better ear). Ten-year all-cause mortality was confirmed using the Australian National Death Index. After ten years, 64% and 11% of participants with DSI and no sensory loss, respectively, had died. After multivariable adjustment, participants with DSI (presenting visual impairment and hearing impairment) compared to those with no sensory impairment at baseline, had 62% increased risk of all-cause mortality, hazard ratio, HR, 1.62 (95% confidence intervals, CI, 1.16–2.26). This association was more marked in those with both moderate-severe hearing loss (>40 dB HL) and presenting visual impairment, HR 1.84 (95% CI 1.19–2.86). Participants with either presenting visual impairment only or hearing impairment only, did not have an increased risk of mortality, HR 1.05 (95% CI 0.61–1.80) and HR 1.24 (95% CI 0.99–1.54), respectively. Concurrent best-corrected visual impairment and moderate-severe hearing loss was more strongly associated with mortality 10 years later, HR 2.19 (95% CI 1.20–4.03). Objectively measured DSI was an independent predictor of total mortality in older adults. DSI was associated with a risk of death greater than that of either vision loss only or hearing loss alone.


Ophthalmology | 2013

Prevalence and 5- to 6-year incidence and progression of myopia and hyperopia in Australian schoolchildren

Amanda N. French; Ian G. Morgan; George Burlutsky; Paul Mitchell; Kathryn A. Rose

PURPOSE To determine the prevalence, incidence, and change in refractive errors for Australian schoolchildren and examine the impact of ethnicity and sex. DESIGN Population-based cohort study. PARTICIPANTS The Sydney Adolescent Vascular and Eye Study, a 5- to 6-year follow-up of the Sydney Myopia Study, examined 2760 children in 2 age cohorts, 12 and 17 years. Longitudinal data were available for 870 and 1202 children in the younger and older cohorts, respectively. METHODS Children completed a comprehensive examination, including cycloplegic autorefraction (cyclopentolate 1%; Canon RK-F1). Myopia was defined as ≤-0.50 diopters (D) and hyperopia as ≥+2.00 D right eye spherical equivalent refraction. MAIN OUTCOME MEASURES Baseline and follow-up refraction. RESULTS Prevalence of myopia increased between baseline and follow-up for both the younger (1.4%-14.4%; P<0.0001) and older cohorts (13.0%-29.6%; P<0.0001). The annual incidence of myopia was 2.2% in the younger cohort and 4.1% in the older. Children of East Asian ethnicity had a higher annual incidence of myopia (younger 6.9%, older 7.3%) than European Caucasian children (younger 1.3%, older 2.9%; all P<0.0001). The prevalence of myopia in European Caucasian children almost doubled between the older (4.4%; 95% confidence interval [CI], 3.0-5.8) and younger samples (8.6%; 95% CI, 6.7-10.6) when both were aged 12 years. Children with ametropia at baseline were more likely to have a significant shift in refraction (hyperopia: odds ratio [OR], 3.4 [95% CI, 1.2-9.8]; myopia: OR, 6.3 [95% CI, 3.7-10.8]) compared with children with no refractive error. There was no significant difference in myopia progression between children of European Caucasian and East Asian ethnicity (P = 0.7). CONCLUSIONS In Sydney, myopia prevalence (14.4%, 29.6%) and incidence (2.2%, 4.1%) was low for both age cohorts, compared with other locations. However, in European Caucasian children at age 12, the significantly higher prevalence of myopia in the younger sample suggests a rise in prevalence, consistent with international trends. Progression of myopia was similar for children of East Asian and European Caucasian ethnicity, but lower than reported in children of East Asian ethnicity in East Asia, suggesting that environmental differences may have some impact on progression.

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Jie Jin Wang

National University of Singapore

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Amy Pai

University of Sydney

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