Ophthalmology (Eye & Ear Hospital) - Research Publications
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ItemBody mass index is not associated with early onset cataract in the 45 and Up cohort study(AME PUBLISHING COMPANY, 2021-11)BACKGROUND: Body mass index (BMI) has been reported to be associated with age-related cataract, whereas its impact on early onset cataract (EOC) remains unknown. METHODS: A total of 73,007 individuals aged 45-55 years who had no previous cataract surgeries at baseline were enrolled from the population-based 45 and Up Study. BMI was calculated based on self-reported height and weight from the baseline questionnaire. Data on cataract surgeries were obtained from the Medicare Benefits Schedule database. EOC was defined as cataract surgically treated prior to 65 years of age. A Cox proportional hazards regression was used to assess the association between BMI and the incidence of EOC during the follow-up. RESULTS: A total of 1,764 participants underwent cataract surgery over 643,717 person-years of follow-up. No significant association was observed between BMI and EOC (P for trend 0.35). Among participants who drank 5 to 7 alcoholic drinks per week, a 73% and 27% reduction in the risk of EOC was observed in participants with a BMI of 18.5-19.99 and 25.0-27.49 kg/m2, respectively, compared to those with a BMI of 20.0-22.49 kg/m2. CONCLUSIONS: No association was identified between BMI and the incidence of EOC. Moderate alcohol intake may be protective against EOC.
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ItemSpatial Analysis of Incidence of Diagnosed Type 2 Diabetes Mellitus and Its Association With Obesity and Physical Inactivity(FRONTIERS MEDIA SA, 2021-10-28)OBJECTIVES: To investigate the spatial distribution of 10-year incidence of diagnosed type 2 diabetes mellitus (T2DM) and its association with obesity and physical inactivity at a reginal level breakdown. METHODS: Demographic, behavioral, medical and pharmaceutical and diagnosed T2DM incidence data were collected from a cohort of 232,064 participants who were free of diabetes at enrolment in the 45 and Up Study, conducted in the state of New South Wales (NSW), Australia. We examined the geographical trend and correlation between obesity prevalence, physical inactivity rate and age-and-gender-adjusted cumulative incidence of T2DM, aggregated based on geographical regions. RESULT: The T2DM incidence, prevalence of obesity and physical inactivity rate at baseline were 6.32%, 20.24%, and 18.7%, respectively. The spatial variation of T2DM incidence was significant (Moran's I=0.52; p<0.01), with the lowest incidence of 2.76% in Richmond Valley-Coastal and the highest of 12.27% in Mount Druitt. T2DM incidence was significantly correlated with the prevalence of obesity (Spearman r=0.62, p<0.001), percentage of participants having five sessions of physical activities or less per week (r=0.79, p<0.001) and percentage of participants walked to work (r=-0.44, p<0.001). The geographical variations in obesity prevalence and physical inactivity rate resembled the geographical variation in the incidence of T2DM. CONCLUSION: The spatial distribution of T2DM incidence is significantly associated with the geographical prevalence of obesity and physical inactivity rate. Regional campaigns advocating the importance of physical activities in response to the alarming T2DM epidemic should be promoted.
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ItemFindings from the 45 and Up Study: smoking is not associated with the risk of early-onset cataract(AME PUBLISHING COMPANY, 2021-07)BACKGROUND: To determine if tobacco smoking is a risk factor for early-onset cataracts. METHODS: This was a prospective population-based cohort study. A total of 70,886 participants aged 45-55 years in the 45 and Up Study were included in our analysis. Early-onset cataracts (EOC) were defined as cataract surgeries performed before 65 years old, based on participant data linked to the Medicare Benefits Schedule (MBS). Smoking habits were assessed at baseline, based on a self-administered questionnaire. A Cox proportional hazards model was used to evaluate the association between tobacco smoking and the risk of early-onset cataracts over the follow-up period. RESULTS: At baseline recruitment, 59.9% of study participants never smoked, 30.5% were former smokers, and 9.6% were current smokers. A total of 1,713 participants underwent cataract surgery over a mean follow-up of 625,042 person-years, with an incidence of 2.74 cases per 1,000 person-years. For current smokers, patients with EOC had longer smoking durations (P=0.019). For former smokers, patients with EOC had higher smoking intensities (P=0.001), were older at smoking commencement (P=0.011), and longer times since quitting (P=0.04). The risk of EOC was not found to be significantly different between current smokers or former smokers, compared to those who had never smoked. Both stratification and sensitivity analyses by gender, surgery year, alcohol intake, physical activity, and income yielded similar results. CONCLUSIONS: Smoking has neither a beneficial nor harmful effect on the long-term incidence of EOC.
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ItemIncidence, Progression, and Patterns of Multimorbidity in Community-Dwelling Middle-Aged Men and Women(FRONTIERS MEDIA SA, 2020-08-18)Background: Determining the incidence, progression, and patterns of multimorbidity are important for the prevention, management, and treatment of concurrence of multiple conditions. This study aimed to analyze major multimorbidity patterns and the association of the onset of a primary condition or combinations of a primary and a secondary condition with the progression to subsequent conditions. Methods: We included 53,867 participants aged 45-64 years from the 45 and Up Study who were free of 10 predefined chronic conditions at baseline (2006-2009). The incidence of multimorbidity (coexistence of ≥2, ≥3, and ≥4 conditions) was identified using the claims database until December 31, 2016. The primary, secondary, tertiary, and quaternary condition for each participant was defined according to its temporal order of onset. Results: During a mean 9-years follow-up, the cumulative incidence of primary, secondary, tertiary, and quaternary conditions was 49.6, 23.7, 9.0, and 2.9%, respectively. The time to develop a subsequent condition decreased with the accumulation of conditions (P < 0.0001). Two concurrent cardiometabolic disorders (CMDs, 30.4%) and CMDs clustered with musculoskeletal disorders (15.2%), mental disorders (13.5%), asthma (12.0%), or cancer (8.7%) were the five most common multimorbidity patterns. CMDs tended to occur prior to mental or musculoskeletal disorders but after the onset of cancers or asthma. Compared with all participants who developed cancer as a primary condition, individuals who experienced mental disorders/neurodegenerative disorders and a comorbidity as cardiovascular disease, hypertension, dyslipidemia, diabetes, asthma, or osteoarthritis were 3.36-10.87 times more likely to develop cancer as a tertiary condition. Individuals with neurodegenerative disorders and a comorbidity as hypertension, dyslipidemia, osteoarthritis, or asthma were 5.14-14.15 times more likely to develop mental disorders as a tertiary condition. Conclusions: A high incidence of multimorbidity in middle-aged adults was observed and CMDs were most commonly seen in multimorbidity patterns. There may be accelerated aging after a primary condition occurs. Our findings also reveal a potential preventative window to obviate the development of secondary or tertiary conditions.