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BACKGROUND: Nationally, Indigenous Australians are more likely to have diabetes and diabetic retinopathy (DR) than non-Indigenous Australians. However, the prevalence of DR and impaired vision in regional primary care settings is unclear. AIM: To describe the prevalence and severity of DR and presenting vision level among Indigenous Australian adults with diabetes attending an indigenous primary care clinic in regional Australia. METHODS: Participants underwent nurse-led retinal imaging and DR screening with offsite retinal grading in the integrated Diabetes Education and Eye Screening (iDEES) project implemented at a regional indigenous primary healthcare setting between January 2018 and March 2020. RESULTS: Of 172 eligible adults, 135 (79%) were recruited and screened for DR and vision level. The median age was 56 (46-67) years, 130 (96%) had type 2 diabetes of median (interquartile range) duration 6 (2-12) years and 48 (36%) were male. Images from 132 (97.8%) participants were gradable. DR was present in 38 (29%) participants: mild non-proliferative in 33 (25%); moderate-severe in three (2.5%); and sight-threatening two (1.5%). Subnormal presenting vision was present in 33%. CONCLUSIONS: A nurse-led model of care integrating diabetes eye screening and education at a single visit was successful at recruiting Indigenous Australian adults with diabetes, screening their vision and acquiring a high rate of gradable images. Even for a short duration of known diabetes, DR was present in three out of 10 patients screened.

AIM: To assess the prevalence of modifiable health-risk behaviours among Indigenous Australian adults with diabetes attending a regional Victorian Indigenous primary-care clinic. DESIGN: A cross-sectional observational single-site study. METHODS: As part of a multi-study project we administered the Smoking, Nutrition, Alcohol consumption, Physical activity and Emotional wellbeing (SNAPE) survey tool during the study baseline visit to methodically capture health-related behavioural data in the nurse-led integrated Diabetes Education and Eye Screening (iDEES) project in a regional Indigenous primary healthcare setting between January 2018 and March 2020. This descriptive SNAPE study helps address the lack of health behaviour data for Indigenous people with diabetes. RESULTS: Of 172 eligible adults, 135 (79%) were recruited to the iDEES study, 50 (37%) male. All participated in at least one survey. Median (range) age was 56 (46-67) years; 130 (96%) had Type 2 diabetes of median [IQR] duration 6 (2-12) years. All 135 provided smoking data; 88 (65%) completed all surveys. Forty-nine (36%) and 29 (22%) were current or former smokers, respectively; 5 (6%) met vegetable intake guidelines, 22 (25%) met fruit intake guidelines; 38 [43%] drank alcohol in the past year. On average, participants walked for ≥10 min at a time 4 days/week and sat for an average of 8 h on weekdays; 35 (40%) had minimal-mild, and 30 (34%) had moderate-severe depressive symptoms. CONCLUSION: Suboptimal modifiable health-risk behaviours and depressive symptoms are common in Indigenous Australian adults with diabetes. IMPACT: Orderly assessment and reporting of health-risk behaviours using a single multi-component survey instrument (SNAPE tool) during a nurse-led diabetes education clinical visit is feasible and efficient. Such data may facilitate personalised interventions and improve diabetes management at both individual and health service levels.

Retinal vessel calibre metrics were evaluated at baseline and 2 years in a FIELD substudy (n = 208). Central retinal venule calibre was significantly reduced by fenofibrate and unchanged by placebo. Arteriole metrics did not change. Larger studies relating retinal vessel calibre to future diabetes complications and response to therapy are merited.

AIMS: To determine eye screening coverage and adherence to national eye screening recommendations of a nurse-led retinal image-based model of diabetes education and eye screening in Indigenous primary care clinics. DESIGN: A pre-post study. METHODS: During January 2018-March 2020 Indigenous Australians with diabetes at three regional Australian clinics were offered eye screening by a nurse-diabetes educator/retinal imager. At the main site the nurse recruited/scheduled participants, and at satellite sites local clinic staff did so. Visual acuity was tested and digital retinal images acquired and graded. Participants were offered rescreening at or before 12-months based on baseline results. RESULTS: In total 203 adults with diabetes attending Indigenous primary care clinics were screened, with divergent results based on the recruitment methods. At the main clinic 135 of 172 eligible adults (79%) were screened. At the satellite sites, 15 of 85 (18%) and 21 of 77 (27%) diabetes patients were screened. Combined coverage 51%. CONCLUSION: A credentialed nurse-educator implemented a model of retinal image-based diabetes education, measured eye screening coverage and adherence to national eye screening guidelines, met the 'acceptable 75% eye screening coverage' benchmark and improved patient eye screening guideline adherence at the one site where the nurse-educator had access to patient recruitment and scheduling. IMPACT: This novel nurse-led primary care iDEES model of retinal image-based diabetes education can improve the currently low Indigenous diabetes eye screening coverage in Australia. Importantly, the nurse-managed iDEES model of integrated diabetes care is readily adaptable to other settings and populations where access to and/or uptake of eye care is suboptimal. CLINICAL TRIAL REGISTRATION: ANZCTRN1261800120435.

AIM: To evaluate an automated retinal image analysis (ARIA) of indigenous retinal fundus images against a human grading comparator for the classification of diabetic retinopathy (DR) status. METHODS: Indigenous Australian adults with type 2 diabetes (n = 410) from three remote and very remote primary-care services in the Northern Territory, Australia, underwent teleretinal DR screening. A single, central retinal fundus photograph (opportunistic mydriasis) for each eye was later regraded using a single ARIA and a UK human grader and national DR classification system. The sensitivity and specificity of ARIA were assessed relative to the comparator. Proportionate agreement and a Kappa statistic were also computed. RESULTS: Retinal images from 391 and 393 participants were gradable for 'Any DR' by the human grader and ARIA grader, respectively. 'Any DR' was detected by the human grader in 185 (47.3%) participants and by ARIA in 202 (48.6%) participants (agreement =88.0%, Kappa = 0.76,), whereas proliferative DR was detected in 31 (7.9%) and 37 (9.4%) participants (agreement = 98.2%, Kappa = 0.89,), respectively. The ARIA software had 91.4 (95% CI, 86.3-95.0) sensitivity and 85.0 (95% CI, 79.3-89.5) specificity for detecting 'Any DR' and 96.8 (95% CI, 83.3-99.9) sensitivity and 98.3 (95% CI, 96.4-99.4) specificity for detecting proliferative DR. CONCLUSIONS: This ARIA software has high sensitivity for detecting 'Any DR', hence could be used as a triage tool for human graders. High sensitivity was also found for detection of proliferative DR by ARIA. Future versions of this ARIA should include maculopathy and referable DR (CSME and/or PDR). Such ARIA software may benefit diabetes care in less-resourced regions.

AIMS: To improve diabetes management in Indigenous Australians using an integrated nurse-led model of diabetes education and eye screening in indigenous primary care and specialist diabetes clinics. DESIGN: A pre-post study. METHODS: This study will be implemented in indigenous primary care and specialist diabetes clinics in Victoria, Australia. Participants recruited to the study will be existing adult patient with diagnosed diabetes attending study sites. A nurse-credentialled diabetes educator and certified retinal imager will deliver three study components: (a) retinal photography as a diabetic retinopathy screening and patient engagement tool; (b) lifestyle and behaviour surveys, administered at baseline and at the final visit, in 12 months. Findings from the surveys and participants' retinal images will be used to guide; and (c) personalized diabetes education. The primary outcomes are participant adherence to diabetic eye screening recommendations and health service diabetic retinopathy screening coverage. Secondary outcomes are baseline DR prevalence and changes in clinical and lifestyle risk factor levels, diabetes knowledge and satisfaction with diabetes care. DISCUSSION: Compared with non-indigenous Australians, Indigenous Australians have a high prevalence of diabetic retinopathy and blindness, low adherence to eye screening recommendations and suboptimal health literacy. Nurse-credentialled diabetes educators can be trained to incorporate retinal imaging and eye screening into their clinical practice to give image-based diabetes education to facilitate diabetic retinopathy management. IMPACT: Credentialled nurse diabetes educators who integrate eye screening and diabetes education can facilitate timelier diabetic retinopathy screening, referral pathways and treatment of sight-threatening retinopathy. We believe that this model of integrated diabetes education and eye screening will also improve adherence to eye screening recommendations, population scre

OBJECTIVE: To identify factors associated with sight-threatening diabetic macular oedema (STDM) in Indigenous Australians attending an Indigenous primary care clinic in remote Australia. METHODS AND ANALYSIS: A cross-sectional study design of retinopathy screening data and routinely-collected clinical data among 236 adult Indigenous participants with type 2 diabetes (35.6% men) set in one Indigenous primary care clinic in remote Australia. The primary outcome variable was STDM assessed from retinal images. RESULTS: Age (median (range)) was 48 (21-86) years, and known diabetes duration (median (range)) was 8.0 (0-24) years. Prevalence of STDM was high (14.8%) and similar in men and women. STDM was associated with longer diabetes duration (11.7 vs 7.9 years, respectively; p<0.001) and markers of renal impairment: abnormal estimated Glomerular Filtration Rate (eGFR) (62.9 vs 38.3%, respectively; p=0.007), severe macroalbuminuria (>300 mg/mmol) (20.6 vs 5.7%, respectively; p=0.014) and chronic kidney disease (25.7 vs 12.2%, respectively; p=0.035). Some clinical factors differed by sex: anaemia was more prevalent in women. A higher proportion of men were smokers, prescribed statins and had increased albuminuria. Men had higher blood pressure, but lower glycated Haemoglobin A1c (HbA1c) levels and body mass index, than women. CONCLUSION: STDM prevalence was high and similar in men and women. Markers of renal impairment and longer diabetes duration were associated with STDM in this Indigenous primary care population. Embedded teleretinal screening, known diabetes duration-based risk stratification and targeted interventions may lower the prevalence of STDM in remote Indigenous primary care services. TRIAL REGISTRATION NUMBER: Australia and New Zealand Clinical Trials Register: ACTRN 12616000370404.

BACKGROUND: Diabetic retinopathy (DR) prevalence is higher in Indigenous Australians than in other Australians and is a major cause of vision loss. Consequently, timely screening and treatment is paramount, and annual eye screening is recommended for Indigenous Australians. AIMS: To assess the prevalence of DR, reduced vision and DR treatment coverage among Indigenous Australian adults with diabetes attending Top End indigenous primary care health services. METHODS: A cross-sectional DR screening study conducted from November 2013 to December 2015 in two very remote Northern Territory Aboriginal primary healthcare services. RESULTS: In 287 subjects, the prevalence of non-proliferative DR, proliferative DR and clinically significant diabetic macular oedema was 37.3%, 5.4% and 9.0% respectively. Treatment coverage for PDR was 60% (of 10 patients) and for CSMO was 17% (of 23 patients). Vision data were available from 122 participants at one site. The proportion with normal vision, reduced vision, impaired vision and blindness was 31.1%, 52.5%, 15.6% and 0.8% respectively. Overall, ungradable monocular image sets (46%) were associated with poorer quality images and missing protocol images (both P < 0.001). Ungradable images for DR were associated with presence of small pupils/media opacities (P < 0.001). Ungradable images for diabetic macular oedema were associated with poorer image quality (P < 0.001), cataracts (P < 0.001) and small pupils (P = 0.04). CONCLUSIONS: A high prevalence of DR, CSMO and impaired vision was noted in Indigenous Australians with diabetes. Screening in primary care is feasible, but more effective screening methods are needed.

Diabetes is a major cause of vision loss globally, yet this devastating complication is largely preventable. Early detection and treatment of diabetic retinopathy necessitates screening. Ocular imaging is widely used clinically, both for the screening and management of diabetic retinopathy. Common eye conditions, such as glaucoma, cataracts and retinal vessel thrombosis, and signs of systemic conditions, such as hypertension, are frequently revealed. As well as imaging by a skilled clinician during an eye examination, non‐ophthalmic clinicians, such as general practitioners, endocrinologists, nurses and trained health workers, can also can carry out diabetic eye screening. This process usually comprises local imaging with remote grading, mostly human grading. However, grading incorporating artificial intelligence is emerging. In a clinical research context, retinal vasculature analyses using semi‐automated software in many populations have identified associations between retinal vessel geometry, such as vessel caliber, and the risk of diabetic retinopathy and other chronic complications of type 1 and type 2 diabetes. Similarly, evaluation of corneal nerves by corneal confocal microscopy is revealing diabetes‐related abnormalities, and associations with and predictive power for other chronic diabetes complications. As yet, the value of retinal vessel geometry and corneal confocal microscopy measures at an individual level is uncertain. In this article, targeting non‐ocular clinicians and researchers, we review existent and emerging ocular imaging and grading tools, including artificial intelligence, and their associations between ocular imaging findings and diabetes and its chronic complications.

PURPOSE: In major urban centres and high-resource settings, treatment of diabetic maculopathy with anti-Vascular Endothelial Growth Factor (VEGF) injections has largely displaced laser treatment. However, intravitreal therapy alone requires frequent follow-up, a barrier to adherence in remote Australia. We report vision outcomes of phased diabetic maculopathy treatment in remote Central Australia for maculopathy using laser and, in a subset, supplementary injection treatment. METHODS: We audited clinical records of patients undergoing laser treatment for diabetic maculopathy between 2001 and 2013 at an ophthalmology service based at Alice Springs Hospital, a regional hub in remote Australia. All patients receiving macular laser treatment were included, and some required supplementary injection(s). The primary outcome measure was change in best-corrected visual acuity [BCVA] from baseline treatment. RESULTS: Of 338 maculopathy-treated patients, 88% were indigenous and 39% were male. Of 554 maculopathy laser-treated eyes, 118 (21%) received supplementary injection/s. In the laser treatment phase, median BCVA was 78 letters at baseline (interquartile range 62-80) and decreased by a median of two letters at final visit. In the subset who underwent subsequentinjection treatment, BCVA was 60 letters at first injection, with a median five-letter increase by final visit. Overall outcomes were similar in Indigenous and non-Indigenous Australians. Predictors of reduction in BCVA in the macular laser treatment phase were better baseline BCVA, older age, and PRP treatment (all p < .005). CONCLUSION: Laser treatment for diabetic maculopathy preserved vision in Central Australia, where barriers to follow-up can preclude regular injections. Supplementary injections stabilized vision in the laser-resistant subset.

AIM: There is a wealth of data concerning the health behaviours of Indigenous Australians, but the health behaviours of Indigenous Australians with diabetes are not systematically documented. At the clinical level, understanding a person's health behaviours can help identify and address barriers to diabetes care and promote good clinical outcomes. METHODS: We used a novel survey tool to systematically collect health behaviour data on Smoking, Nutrition, Alcohol consumption, Physical activity and Emotional well-being (SNAPE) from Indigenous Australians with Type 2 diabetes in a remote primary care setting in Alice Springs. RESULTS: At least one of the five surveys in the SNAPE tool was completed by 210 participants: 30% male, mean age 52.6 years (range 22.9 - 87.4). Fifty per cent of men and 23% of women were current smokers (P < 0.001). None of the participants reported an adequate intake of vegetables. Only 9.6% reported an adequate fruit intake. Some 49% of men and 32% of women consumed alcohol in the past year (P = 0.022), and 46% of drinkers were considered high-risk or likely-dependent drinkers. On average, participants walked 10 min or more at a time 6.0 days a week and spent 4.8 h sitting on a weekday. Mean adapted Patient Health Questionnaire 9 score was 4.61, with 34% of participants having mild depressive symptoms and 11% having moderate-severe depressive symptoms. CONCLUSIONS: Our SNAPE survey tool results present a high-risk, disadvantaged Indigenous population with Type 2 diabetes. More resources will be needed to sustainably implement interventions with the goal of improving health behaviours and subsequent long-term health.

As diabetes occurs in all ethnicities and regions it is essential that retinopathy screening be widely available. Screening rates are lower in Indigenous than in non‐Indigenous Australians. Technological advances and Medicare rebates should facilitate improved outcomes. Use of non‐ophthalmic clinicians, (general practitioners, diabetes educators, health‐workers and endocrinologists) to supplement coverage by ophthalmologists and optometrists would extend retinopathy screening capacity. Diabetes educators are an integral part of diabetes management. Integrating ocular screening and diabetes education in primary care settings has potential to improve synergistically retinopathy screening coverage, patient self‐management, risk factor control, care satisfaction, health economics and sustainability of under‐resourced services.

AIM: To determine diabetic retinopathy prevalence and severity among remote Indigenous Australians. METHODS: A cross-sectional diabetic retinopathy screening study of Indigenous adults with Type 2 diabetes was conducted by locally trained non-ophthalmic retinal imagers in a remote Aboriginal community-controlled primary healthcare clinic in Central Australia and certified non-ophthalmic graders in a retinal grading centre in Melbourne, Australia. The main outcome measure was prevalence of any diabetic retinopathy and sight-threatening diabetic retinopathy. RESULTS: Among 301 participants (33% male), gradable image rates were 78.7% (n = 237) for diabetic retinopathy and 83.1% (n = 250) for diabetic macular oedema, and 77.7% (n = 234) were gradable for both diabetic retinopathy and diabetic macular oedema. For the gradable subset, the median (range) age was 48 (19-86) years and known diabetes duration 9.0 (0-24) years. The prevalence of diabetic retinopathy was 47% (n = 110) and for diabetic macular oedema it was 14.4% (n = 36). In the fully gradable imaging studies, sight-threatening diabetic retinopathy prevalence was 16.2% (n = 38): 14.1% (n = 33) for clinically significant macular oedema, 1.3% (n = 3) for proliferative diabetic retinopathy and 0.9% (n = 2) for both. Sight-threatening diabetic retinopathy had been treated in 78% of detected cases. CONCLUSIONS: A novel telemedicine diabetic retinopathy screening service detected a higher prevalence of 'any' diabetic retinopathy and sight-threatening diabetic retinopathy in a remote primary care setting than reported in earlier surveys among Indigenous and non-Indigenous populations. Whether the observed high prevalence of diabetic retinopathy was attributable to greater detection, increasing diabetic retinopathy prevalence, local factors, or a combination of these requires further investigation and, potentially, specific primary care guidelines for diabetic retinopathy management in remote Australia. Clinical Trials

BACKGROUND: Recently, the efficacy of dietary improvement as a therapeutic intervention for moderate to severe depression was evaluated in a randomised controlled trial. The SMILES trial demonstrated a significant improvement in Montgomery-Åsberg Depression Rating Scale scores favouring the dietary support group compared with a control group over 12 weeks. We used data collected within the trial to evaluate the cost-effectiveness of this novel intervention. METHODS: In this prospective economic evaluation, sixty-seven adults meeting DSM-IV criteria for a major depressive episode and reporting poor dietary quality were randomised to either seven sessions with a dietitian for dietary support or to an intensity matched social support (befriending) control condition. The primary outcome was Quality Adjusted Life Years (QALYs) as measured by the AQoL-8D, completed at baseline and 12 week follow-up (endpoint) assessment. Costs were evaluated from health sector and societal perspectives. The time required for intervention delivery was costed using hourly wage rates applied to the time in counselling sessions. Food and travel costs were also included in the societal perspective. Data on medications, medical services, workplace absenteeism and presenteesim (paid and unpaid) were collected from study participants using a resource-use questionnaire. Standard Australian unit costs for 2013/2014 were applied. Incremental cost-effectiveness ratios (ICERs) were calculated as the difference in average costs between groups divided by the difference in average QALYs. Confidence intervals were calculated using a non-parametric bootstrap procedure. RESULTS: Compared with the social support condition, average total health sector costs were $856 lower (95% CI -1247 to - 160) and average societal costs were $2591 lower (95% CI -3591 to - 198) for those receiving dietary support. These differences were driven by lower costs arising from fewer allied and other health professional visits and

AIM: To describe the study protocol of the MEDiterranean ISlands-Australia (MEDIS-Australia) Study modelled on the MEDIS Study conducted in Greece. The present study aims to explore adherence to the traditional Mediterranean diet pattern, determine enablers and barriers to adherence, explore the definition of Greek cuisine, and associations between adherence to the diet pattern and risk factors for cardiovascular disease (CVD) and metabolic syndrome in older Greek Australians originally from Greek islands and Cyprus. Now long-term immigrants, with at least 50 years in Australia, characteristics and risk factor profiles of older Greek islander-born Australians will be compared and contrasted to their counterparts living on Greek islands to evaluate the influence of migration on adherence. METHODS: The present study is an observational study of cross-sectional design using a modified lifestyle and semi-quantitative food frequency questionnaire to capture sociodemographic, health, psychosocial and dietary characteristics, including cuisine, of 150 older Greek islander-born Australians. Anthropometric measures and medical history will be collected. Participants will be aged over 65 years, live independently, are originally from a Greek island and are free from CVD. RESULTS: Data collection is underway. CONCLUSIONS: Characteristics and behaviours associated with adherence, if identified, could be evaluated in future studies. For example, exploration of enablers or barriers to adherence to a Mediterranean dietary pattern in an Australian population.

The original version of this paper [1] did not specify that a website was used in the final year of recruitment, in addition to the other stated recruitment methods.

The SMILES trial was the first intervention study to test dietary improvement as a treatment strategy for depression. Molendijk et al. propose that expectation bias and difficulties with blinding might account for the large effect size. While we acknowledge the issue of expectation bias in lifestyle intervention trials and indeed discuss this as a key limitation in our paper, we observed a strong correlation between dietary change and change in depression scores, which we argue is consistent with a causal effect and we believe unlikely to be an artefact of inadequate blinding. Since its publication, our results have been largely replicated and our recent economic evaluation of SMILES suggests that the benefits of our approach extend beyond depression. We argue that the SMILES trial should be considered an important, albeit preliminary, first step in the field of nutritional psychiatry research.

Aim: To determine diabetic retinopathy prevalence and severity among remote Indigenous Australians. Methods: A cross-sectional diabetic retinopathy screening study of Indigenous adults with Type 2 diabetes was conducted by locally trained non-ophthalmic retinal imagers in a remote Aboriginal community-controlled primary healthcare clinic in Central Australia and certified non-ophthalmic graders in a retinal grading centre in Melbourne, Australia. The main outcome measure was prevalence of any diabetic retinopathy and sight-threatening diabetic retinopathy. Results: Among 301 participants (33% male), gradable image rates were 78.7% (n = 237) for diabetic retinopathy and 83.1% (n = 250) for diabetic macular oedema, and 77.7% (n = 234) were gradable for both diabetic retinopathy and diabetic macular oedema. For the gradable subset, the median (range) age was 48 (19–86) years and known diabetes duration 9.0 (0–24) years. The prevalence of diabetic retinopathy was 47% (n = 110) and for diabetic macular oedema it was 14.4% (n = 36). In the fully gradable imaging studies, sight-threatening diabetic retinopathy prevalence was 16.2% (n = 38): 14.1% (n = 33) for clinically significant macular oedema, 1.3% (n = 3) for proliferative diabetic retinopathy and 0.9% (n = 2) for both. Sight-threatening diabetic retinopathy had been treated in 78% of detected cases. Conclusions: A novel telemedicine diabetic retinopathy screening service detected a higher prevalence of ‘any’ diabetic retinopathy and sight-threatening diabetic retinopathy in a remote primary care setting than reported in earlier surveys among Indigenous and non-Indigenous populations. Whether the observed high prevalence of diabetic retinopathy was attributable to greater detection, increasing diabetic retinopathy prevalence, local factors, or a combination of these requires further investigation and, potentially, specific primary care guidelines for diabetic retinopathy management in remote Australia. Clinical Trials

BACKGROUND: Despite substantial investment in detection, early intervention and evidence-based treatments, current management strategies for diabetes-associated retinopathy and cardiovascular disease are largely based on real-time and face-to-face approaches. There are limited data re telehealth facilitation in type 2 diabetes management. Therefore, we aim to investigate efficacy of telehealth facilitation of diabetes and cardiovascular disease care in high-risk vulnerable Aboriginal and Torres Strait Islanders in remote/very remote Australia. METHODS: Using a pre-post intervention design, 600 Indigenous Australians with type 2 diabetes will be recruited from three primary-care health-services in the Northern Territory. Diabetes status will be based on clinical records. There will be four technological interventions: 1. Baseline retinal imaging [as a real-time patient education/engagement tool and telehealth screening strategy]. 2. A lifestyle survey tool administered at ≈ 6-months. 3. At ≈ 6- and 18-months, an electronic cardiovascular disease and diabetes decision-support tool based on current guidelines in the Standard Treatment Manual of the Central Australian Rural Practitioner's Association to generate clinical recommendations. 4. Mobile tablet technology developed to enhance participant engagement in self-management. Data will include: Pre-intervention clinical and encounter-history data, baseline retinopathy status, decision-support and survey data/opportunistic mobile tablet encounter data. The primary outcome is increased participant adherence to clinical appointments, a marker of engagement and self-management. A cost-benefit analysis will be performed. DISCUSSION: Remoteness is a major barrier to provision and uptake of best-practice chronic disease management. Telehealth, beyond videoconferencing of consultations, could facilitate evidence-based management of diabetes and cardiovascular disease in Indigenous Australians and serve as a model for other co

PURPOSE: To examine the association between dietary patterns and retinal vascular calibre in children and adolescents with type 1 diabetes. METHODS: A hospital-based cross-sectional study of 83 children and adolescents with type 1 diabetes was conducted over an 8-month period. Dietary patterns were extracted using principal components analysis from completed food frequency questionnaires. Retinal vascular calibre was measured by a trained grader using a standardized protocol and later summarized as central retinal artery equivalent (CRAE) and central retinal vein equivalent (CRVE) using a semi-automated computer program. RESULTS: Three major dietary patterns were identified as follows: (1) processed foods, (2) plant-based foods and (3) vegetable/fish avoidance pattern. The processed pattern had high component loadings for processed meats and high fat takeaway foods. The plant-based pattern had high component loadings for a number of fruits including, but not limited to, pineapple, grapes oranges and mangos as well as a smaller number of vegetables, including beans and leeks. The vegetable and fish avoidance pattern had high inverse component loadings for canned and fresh fish as well as a number of vegetables including, but not limited to, pumpkin, green beans, broccoli, sweet potato and cabbage. Adjusted regression analysis revealed the 'vegetable/fish avoidance' dietary pattern was associated with a wider CRVE (ExpB = 3.67, 95% CI = 0.11/7.24, p = 0.039). After multivariable adjustments, a vascular risk profile that included: older age, higher BMI, higher systolic blood pressure, greater gestational age, longer screen viewing time, lower maternal education level, lower physical activity levels and lower high-density lipoproteins concentrations were more likely to display narrower CRAE (ExpB = -2.43, 95% CI = -4.92/0.06, p = 0.041). CONCLUSIONS: This study provides the first evidence for a diet-calibre relationship in children and adolescents with type 1 diabetes.

Background and aims: Vitamin A affects inflammation and immune function and is thus a factor of interest in relation to cardiovascular disease (CVD). As vitamin A circulates in the plasma in the form of retinol, this study aims to describe the relationship between plasma retinol and the 5-year incidence of CVD mortality. Methods and Results: Community-dwelling adults (n = 441, 45% with type 2 diabetes) were recruited in Melbourne, assessed at baseline and followed for 5 years. At baseline, CVD risk factors were assessed by clinical evaluation, by personal lifestyle questionnaire and from biochemistry (plasma fasting glucose, lipids, total homocysteine, C-reactive protein, retinol and carotenoids plus the urinary albumin excretion rate over 24 h.). Dietary intake was assessed by a validated food frequency questionnaire. CVD mortality over 5-years was determined by consulting state or national registries. The majority of participants had adequate plasma retinol concentrations (>=30 mug/dL). The final Cox regression model indicated that those in the highest tertile of plasma retinol (mean +/- SD) 76 +/- 14 mug/dL) had a significantly lower risk of 5-year CVD mortality (hazard ratio 0.27 [95% confidence interval 0.11, 0.68], P = 0.005), an effect that was not readily explained in terms of traditional CVD risk factors or dietary intake. Conclusion(s): In well-nourished older Australian adults, plasma retinol was inversely associated with CVD mortality via mechanisms apparently unrelated to established CVD risk factors and dietary intake. © 2011 Elsevier B.V.

This paper presents the development of the Complementary Feeding Utility Index (CFUI), a composite index aimed to measure adherence to infant feeding guidelines. Through an axiomatic characterization this paper shows the advantages in using the CFUI are the following: it avoids the use of arbitrary cut-offs, and by converting observed diet preferences into utilities, summing the score is meaningful. In addition, as the CFUI is designed to be scored continuously, it allows the transition from intake of beneficial foods (in low quantities) and intake of detrimental foods (in high quantities) to be more subtle. The paper first describes the rationale being the development of the CFUI and then elaborates on the methodology used to develop the CFUI, including the process of selecting the components. The methodology is applied to data collected from the Avon Longitudinal Study of Parents and Children to show the advantages of the CFUI over traditional diet index approaches. Unlike traditional approaches, the distribution of the CFUI does not peak towards mean value but distributes evenly towards the tails of the distribution.

OBJECTIVE: We examined whether trajectories of dietary patterns from 6 to 24 months of age are associated with intelligence quotient (IQ) in childhood and adolescence. METHODS: Participants were children enrolled in a prospective UK birth cohort (n = 7,652) who had IQ measured at age 8 and/or 15 years. Dietary patterns were previously extracted from questionnaires when children were aged 6, 15 and 24 months using principal component analysis. Dietary trajectories were generated by combining scores on similar dietary patterns across each age, using multilevel mixed models. Associations between dietary trajectories and IQ were examined in generalized linear models with adjustment for potential confounders. RESULTS: Four dietary pattern trajectories were constructed from 6 to 24 months of age and were named according to foods that made the strongest contribution to trajectory scores; Healthy (characterised by breastfeeding at 6 months, raw fruit and vegetables, cheese and herbs at 15 and 24 months); Discretionary (biscuits, chocolate, crisps at all ages), Traditional (meat, cooked vegetables and puddings at all ages) and, Ready-to-eat (use of ready-prepared baby foods at 6 and 15 months, biscuits, bread and breakfast cereals at 24 months). In fully-adjusted models, a 1 SD change in the Healthy trajectory was weakly associated with higher IQ at age 8 (1.07 (95%CI 0.17, 1.97)) but not 15 years (0.49 (-0.28, 1.26)). Associations between the Discretionary and Traditional trajectories with IQ at 8 and 15 years were as follows; Discretionary; 8 years -0.35(-1.03, 0.33), 15 years -0.73(-1.33, -0.14) Traditional; 8 years -0.19(-0.71, 0.33)15 years -0.41(-0.77, -0.04)). The Ready-to-eat trajectory had no association with IQ at either age (8 years 0.32(-4.31, 4.95), 15 years 1.11(-3.10, 5.33). CONCLUSIONS: The Discretionary and Traditional dietary pattern trajectories from 6 to 24 months of age, over the period when food patterns begin to emerge, are weakly associated with IQ in

BACKGROUND: Despite increased investment in its recognition and treatment, depression remains a substantial health and economic burden worldwide. Current treatment strategies generally focus on biological and psychological pathways, largely neglecting the role of lifestyle. There is emerging evidence to suggest that diet and nutrition play an important role in the risk, and the genesis, of depression. However, there are limited data regarding the therapeutic impact of dietary changes on existing mental illness. Using a randomised controlled trial design, we aim to investigate the efficacy and cost-efficacy of a dietary program for the treatment of Major Depressive Episodes (MDE). METHODS/DESIGN: One hundred and seventy six eligible participants suffering from current MDE are being randomised into a dietary intervention group or a social support group. Depression status is assessed using the Montgomery-Åsberg Depression Rating Scale (MADRS) and Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders (Non Patient Edition) (SCID-I/NP). The intervention consists of 7 individual nutrition consulting sessions (of approximately 60 minutes), delivered by an Accredited Practising Dietitian (APD). Sessions commence within one week of baseline assessment. The intervention focuses on advocating a healthy diet based on the Australian Dietary Guidelines and the Dietary Guidelines for Adults in Greece. The control condition comprises a befriending protocol using the same visit schedule and length as the diet intervention. The study is being conducted at two locations in Victoria, Australia (a metropolitan and regional centre). Data collection occurs at baseline (pre-intervention), 3-months (post-intervention) and 6- months. The primary endpoint is MADRS scores at 3 months. A cost consequences analysis will determine the economic value of the intervention. DISCUSSION: If efficacious, this program could provide an alternative or adjunct treatment stra

BACKGROUND/OBJECTIVES: Data from the Avon Longitudinal Study of Parents and Children (ALSPAC) have previously shown that dietary patterns are observable by 3 years. However, it is not clear when dietary patterns emerge. We aimed to describe dietary patterns in early life and their associations with maternal and infant sociodemographic characteristics. SUBJECTS/METHODS: Principal component analysis was applied to diet questionnaires of ALSPAC participants at 6 months (n=7052) and 15 months (n=5610) to extract dietary patterns. The sociodemographic factors associated with dietary patterns were investigated using regression analyses. RESULTS: Four dietary patterns were extracted at both 6 and 15 months. A traditional-style pattern characterized by home-prepared meats, vegetables and desserts, a second pattern characterized by ready-prepared baby foods and a third pattern characterized by discretionary foods such as biscuits, sweets and crisps were identified at both ages. At 6 months, the fourth pattern was characterized predominantly by breastfeeding and at 15 months, by contemporary-style foods including herbs, legumes, nuts, raw fruit and vegetables. Higher maternal age and education, number of siblings and lower body mass index (BMI) was associated with higher scores on the breastfeeding or meat, vegetables and desserts patterns, whereas higher discretionary food pattern scores were associated with younger maternal age, lower education, higher BMI and more siblings. Associations between sociodemographic factors and the ready-prepared baby food pattern scores were inconsistent across ages. CONCLUSIONS: Dietary patterns emerge from infancy and are associated with sociodemographic characteristics.

Diet supplies the nutrients needed for the development of neural tissues that occurs over the first 2 years of life. Our aim was to examine associations between dietary patterns at 6, 15 and 24 months and intelligence quotient (IQ) scores at 8 years. Participants were enrolled in an observational birth cohort (ALSPAC study, n = 7,097). Dietary data was collected by questionnaire and patterns were extracted at each time using principal component analysis. IQ was measured using the Wechsler Intelligence Scale for Children at 8 years. Associations between dietary patterns and IQ were examined in regression analyses adjusted for potential confounding and by propensity score matching, with data imputation for missing values. At all ages, higher scores on a Discretionary pattern (characterized by biscuits, chocolate, sweets, soda, crisps) were associated with 1-2 point lower IQ. A Breastfeeding pattern at 6 months and Home-made contemporary patterns at 15 and 24 months (herbs, legumes, cheese, raw fruit and vegetables) were associated with 1-to-2 point higher IQ. A Home-made traditional pattern (meat, cooked vegetables, desserts) at 6 months was positively associated with higher IQ scores, but there was no association with similar patterns at 15 or 24 months. Negative associations were found with patterns characterized by Ready-prepared baby foods at 6 and 15 months and positive associations with a Ready-to-eat foods pattern at 24 months. Propensity score analyses were consistent with regression analyses. This study suggests that dietary patterns from 6 to 24 months may have a small but persistent effect on IQ at 8 years.

Dietary patterns are a useful summary measure of diet. Few studies have examined the nutrient profiles underpinning the dietary patterns of young children. The study aim is to determine whether dietary patterns at 6 and 15 months of age are associated with nutrient intakes at 8 and 18 months, respectively. Participants were children from the Avon Longitudinal Study of Parents and Children who had complete dietary pattern and nutrient intake data (n = 725 at 6-8 months, n = 535 at 15-18 months). The association between tertiles of dietary pattern scores and nutrient intake was examined using a non-parametric test for trend. Scores on the home-made traditional pattern (6-8 months) were positively associated with median energy intake. Each dietary pattern had different associations with energy-adjusted intakes of macro- and micro-nutrients. At both times, the discretionary pattern was positively and the ready-prepared baby foods pattern was negatively associated with sodium intake. At 6-8 months, calcium and iron intakes decreased across scores on the home-made traditional and breastfeeding patterns, but increased across the ready-prepared baby food patterns. These findings highlight that dietary patterns in infants and toddlers vary in their underlying energy and nutrient composition.