192 results on '"Cobiac, L."'
Search Results
2. Prevalence and socio-economic distribution of eating, physical activity and sedentary behaviour among South Australian children in urban and rural communities: baseline findings from the OPAL evaluation
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Bell, L., Ullah, S., Olds, T., Magarey, A., Leslie, E., Jones, M., Miller, M., and Cobiac, L.
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- 2016
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3. Estimating BMI distributions by age and sex for local authorities in England: a small area estimation study
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Amies-Cull, B, Wolstenholme, J, Cobiac, L, and Scarborough, P
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Adult ,Cross-Sectional Studies ,England ,Child, Preschool ,Humans ,General Medicine ,Obesity ,Overweight ,Body Mass Index - Abstract
ObjectivesRates of overweight and obesity vary across England, but local rates have not been estimated for over 10 years. We aimed to produce new small area estimates of body mass index (BMI) by age and sex for each lower tier and unitary local authority in England, to provide up-to-date and more detailed estimates for the use of policy-makers and academics working in non-communicable disease risk and health inequalities.DesignWe used generalised linear modelling to estimate the relationship between BMI with social/demographic markers in a cross-sectional survey, then used this model to impute a BMI for each adult in locally-representative populations. These groups were then disaggregated by 5-year age group, sex and local authority group.SettingThe Health Survey for England 2018 (cross-sectional BMI data for England) and Census microdata 2011 (locally representative).ParticipantsA total of 6174 complete cases aged 16 and over were included.Outcome measuresModelled group-level BMI as mean and SD of log-BMI. Extensive internal validation was performed, against the original data and external validation against the National Diet and Nutrition Survey and Active Lives Survey and previous small area estimates.ResultsIn 94% of age–sex are groups, mean BMI was in the overweight or obese ranges. Older and more deprived areas had the highest overweight and obesity rates, which were particularly in coastal areas, the West Midlands, Yorkshire and the Humber. Validation showed close concordance with previous estimates by local area and demographic groups.ConclusionThis work updated previous estimates of the distribution of BMI in England and contributes considerable additional detail to our understanding of the local epidemiology of overweight and obesity. Raised BMI now affects the vast majority of demographic groups by age, sex and area in England, regardless of geography or deprivation.
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- 2022
4. Pharmacological interventions for geriatric cachexia: A narrative review of the literature
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Yaxley, A., Miller, Michelle D., Fraser, R.J., and Cobiac, L.
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- 2012
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5. Comparison of dietary intakes according to breakfast choice in Australian boys
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Grieger, J A and Cobiac, L
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- 2012
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6. Cluster analysis and food group consumption in a national sample of Australian girls
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Grieger, J. A., Scott, J., and Cobiac, L.
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- 2012
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7. OP06 Quantifying the potential health impact of restricting less-healthy food advertising on UK television between 0530 and 2100: a multi-state lifetable modelling study
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Mytton, OT, primary, Boyland, E, additional, Adams, J, additional, Collins, B, additional, O’Connell, M, additional, Russell, S, additional, Smith, K, additional, Stroud, R, additional, Viner, R, additional, and Cobiac, L, additional
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- 2020
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8. PCV35 POPULATION DIETARY SALT REDUCTION AND BURDEN OF CARDIOVASCULAR DISEASE IN CAMEROON: A COST-EFFECTIVENESS MODELLING STUDY
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Aminde, L.N., primary, Cobiac, L., additional, and Veerman, L., additional
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- 2020
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9. DIETARY FIBER | Potential Role in Etiology of Disease
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Topping, D.L., primary and Cobiac, L., additional
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- 2005
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10. Gastrointestinal absorption of esterified butyrate after ingestion of acylated starch by volunteers
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CLARKE, J, BIRD, T, TOPPING, D, ROYLE, P, and COBIAC, L
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- 2007
11. Effect of resistant starch, butyrylated starch and tributyrin on colon cancer in rats: 44
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CLARKE, J, BIRD, T, TOPPING, D, YOUNG, G, and COBIAC, L
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- 2006
12. Exercise profile and subseqent mortality in an elderly Australian population
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Finucane, P., Giles, L.C., Withers, R.T., Silagy, C.A., Sedgwick, A., Hamdorf, P.A., Halbert, J.A., Cobiac, L., Clark, M.S., and Andrews, G.R.
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Aged -- Health aspects ,Exercise -- Physiological aspects ,Health - Abstract
Exercise as a public health issue has been increasingly recognized, but studies have not paid much attention to its importance for the very old. The author bases this conclusion on a study of 1788 respondents to the Australian Longitudinal Study of Ageing aged 70 and over, which showed an inverse relation of mortality rates at two years follow-up to the level of exercise at baseline.
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- 1997
13. Modelling the health impact of food taxes and subsidies with price elasticities: The case for additional scaling of food consumption using the total food expenditure elasticity
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Sun, C, Blakely, T, Nghiem, N, Genc, M, Mizdrak, A, Cobiac, L, Mhurchu, CN, Swinburn, B, Scarborough, P, Cleghorn, C, Sun, C, Blakely, T, Nghiem, N, Genc, M, Mizdrak, A, Cobiac, L, Mhurchu, CN, Swinburn, B, Scarborough, P, and Cleghorn, C
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BACKGROUND: Food taxes and subsidies are one intervention to address poor diets. Price elasticity (PE) matrices are commonly used to model the change in food purchasing. Usually a PE matrix is generated in one setting then applied to another setting with differing starting consumptions and prices of foods. This violates econometric assumptions resulting in likely mis-estimation of total food consumption. In this paper we demonstrate this problem, canvass possible options for rescaling all consumption after applying a PE matrix, and illustrate the use of a total food expenditure elasticity (TFEe; the expenditure elasticity for all food combined given the policy-induced change in the total price of food). We use case studies of: NZ$2 per 100g saturated fat (SAFA) tax, NZ$0.4 per 100g sugar tax, and a 20% fruit and vegetable (F&V) subsidy. METHODS: We estimated changes in food purchasing using a NZ PE matrix applied conventionally, and then with TFEe adjustment. Impacts were quantified for pre- to post-policy changes in total food expenditure and health adjusted life years (HALYs) for the total NZ population alive in 2011 over the rest of their lifetime using a multistate lifetable model. RESULTS: Two NZ studies gave TFEe's of 0.68 and 0.83, with international estimates ranging from 0.46 to 0.90 (except a UK outlier of 0.04). Without TFEe adjustment, total food expenditure decreased with the tax policies and increased with the F&V subsidy-implausible directions of shift given economic theory and the external TFEe estimates. After TFEe adjustment, HALY gains reduced by a third to a half for the two taxes and reversed from an apparent health loss to a health gain for the F&V subsidy. With TFEe adjustment, HALY gains (in 1000's) were: 1,805 (95% uncertainty interval 1,337 to 2,340) for the SAFA tax; 1,671 (1,220 to 2,269) for the sugar tax; and 953 (453 to 1,308) for the F&V subsidy. CONCLUSIONS: If PE matrices are applied in settings beyond where they were derived, addit
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- 2020
14. Accounting for consumers’ preferences in the analysis of dietary recommendations
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Cobiac, L, Irz, X, Leroy, P, Réquillart, V, Scarborough, P, Soler, L-G, University of Melbourne, Natural resources institute Finland, Alimentation et sciences sociales (ALISS), Institut National de la Recherche Agronomique (INRA), Toulouse School of Economics (TSE), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Recherche Agronomique (INRA)-École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS), University of Oxford [Oxford], École des hautes études en sciences sociales (EHESS)-Institut National de la Recherche Agronomique (INRA)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse 1 Capitole (UT1), and University of Oxford
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recommendation ,consumer ,health ,economics ,Consumer Behavior ,diet ,Nutrition Surveys ,[SHS.ECO]Humanities and Social Sciences/Economics and Finance ,Article ,Nutrition Policy ,Economies et finances ,Economies and finances ,Food Preferences ,Cardiovascular diseases ,Risk factors ,Humans ,Dairy Products ,France ,B- ECONOMIE ET FINANCE - Abstract
Background/Objectives The goal of this article is to present and demonstrate the applicability of an original method to assess the economic and health impacts of compliance with food-based recommendations. The method takes account of consumers’ preferences and the associated adoption cost in the assessment of various recommendations. Subjects/Methods We combine an economic model of diet choice with an epidemiological model to compute the health impacts of dietary changes. To demonstrate the use of the method, we analyse the impacts of a 5% variation in the consumption of seven food groups taken separately: a 5% increase in consumption of fruits and vegetables (F&V;) and milk products; and a 5% decrease in consumption of red meat, all meats, salty/sweet products, ready meals and butter/cream/cheese. Results A recommendation, when adopted by consumers, generates important changes in the whole diet due to substitutions and complementarities among foods. All simulated recommendations have a positive impact on health. The F&V; recommendation has the largest impact on the number of DALYs averted, but the highest adoption cost for consumers, especially for low-income consumers. Alone, the change in energy intake explains from 71% to 98% of the DALYs averted induced by a recommendation. Conclusions Small increases in recommended foods have the potential of generating relatively significant health gains. Preference-driven substitutions among foods have a major effect on simulated health outcomes and should be included in the assessment of dietary recommendations, together with the adoption cost borne by consumers.
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- 2018
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15. Maintain Your Brain: Protocol of a 3-Year Randomized Controlled Trial of a Personalized Multi-Modal Digital Health Intervention to Prevent Cognitive Decline among Community Dwelling 55 to 77 Year Olds
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Anstey, Kaarin, Peters, Ruth, Heffernan, M ; https://orcid.org/0000-0001-8992-8072, Andrews, G ; https://orcid.org/0000-0002-4315-2173, Fiatarone Singh, MA, Valenzuela, M ; https://orcid.org/0000-0001-7162-6607, Anstey, KJ ; https://orcid.org/0000-0002-9706-9316, Maeder, AJ, McNeil, J, Jorm, L ; https://orcid.org/0000-0003-0390-661X, Lautenschlager, NT, Sachdev, PS ; https://orcid.org/0000-0002-9595-3220, Ginige, JA, Hobbs, MJ ; https://orcid.org/0000-0003-0131-0089, Boulamatsis, C, Chau, T, Cobiac, L, Cox, KL, Daniel, K, Flood, VM, Guerrero, Y, Gunn, J, Jain, N, Kochan, NA ; https://orcid.org/0000-0002-8630-6398, Lampit, A, Mavros, Y, Meiklejohn, J, Noble, Y, O'Leary, F, Radd-Vagenas, S, Walton, CC, Brodaty, H ; https://orcid.org/0000-0001-9487-6617, Anstey, Kaarin, Peters, Ruth, Heffernan, M ; https://orcid.org/0000-0001-8992-8072, Andrews, G ; https://orcid.org/0000-0002-4315-2173, Fiatarone Singh, MA, Valenzuela, M ; https://orcid.org/0000-0001-7162-6607, Anstey, KJ ; https://orcid.org/0000-0002-9706-9316, Maeder, AJ, McNeil, J, Jorm, L ; https://orcid.org/0000-0003-0390-661X, Lautenschlager, NT, Sachdev, PS ; https://orcid.org/0000-0002-9595-3220, Ginige, JA, Hobbs, MJ ; https://orcid.org/0000-0003-0131-0089, Boulamatsis, C, Chau, T, Cobiac, L, Cox, KL, Daniel, K, Flood, VM, Guerrero, Y, Gunn, J, Jain, N, Kochan, NA ; https://orcid.org/0000-0002-8630-6398, Lampit, A, Mavros, Y, Meiklejohn, J, Noble, Y, O'Leary, F, Radd-Vagenas, S, Walton, CC, and Brodaty, H ; https://orcid.org/0000-0001-9487-6617
- Abstract
Background: Maintain Your Brain (MYB) is a randomized controlled trial of an online multi-modal lifestyle intervention targeting modifiable dementia risk factors with its primary aim being to reduce cognitive decline in an older age cohort. Methods: MYB aims to recruit 8,500 non-demented community dwelling 55 to 77 year olds from the Sax Institute's 45 and Up Study in New South Wales, Australia. Participants will be screened for risk factors related to four modules that comprise the MYB intervention: physical activity, nutrition, mental health, and cognitive training. Targeting risk factors will enable interventions to be personalized so that participants receive the most appropriate modules. MYB will run for three years and up to four modules will be delivered sequentially each quarter during year one. Upon completing a module, participants will continue to receive less frequent booster activities for their eligible modules (except for the mental health module) until the end of the trial. Discussion: MYB will be the largest internet-based trial to attempt to prevent cognitive decline and potentially dementia. If successful, MYB will provide a model for not just effective intervention among older adults, but an intervention that is scalable for broad use.
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- 2019
16. Maintain Your Brain: Protocol of a 3-Year Randomized Controlled Trial of a Personalized Multi-Modal Digital Health Intervention to Prevent Cognitive Decline Among Community Dwelling 55 to 77 Year Olds
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Anstey, K, Peters, R, Heffernan, M, Andrews, G, Singh, MAF, Valenzuela, M, Anstey, KJ, Maeder, AJ, McNeil, J, Jorm, L, Lautenschlager, NT, Sachdev, PS, Ginige, JA, Hobbs, MJ, Boulamatsis, C, Chau, T, Cobiac, L, Cox, KL, Daniel, K, Hood, VM, Guerrero, Y, Gunn, J, Jain, N, Kochan, NA, Lampit, A, Mavros, Y, Meiklejohn, J, Noble, Y, O'Leary, F, Radd-Vagenas, S, Walton, CC, Brodaty, H, Anstey, K, Peters, R, Heffernan, M, Andrews, G, Singh, MAF, Valenzuela, M, Anstey, KJ, Maeder, AJ, McNeil, J, Jorm, L, Lautenschlager, NT, Sachdev, PS, Ginige, JA, Hobbs, MJ, Boulamatsis, C, Chau, T, Cobiac, L, Cox, KL, Daniel, K, Hood, VM, Guerrero, Y, Gunn, J, Jain, N, Kochan, NA, Lampit, A, Mavros, Y, Meiklejohn, J, Noble, Y, O'Leary, F, Radd-Vagenas, S, Walton, CC, and Brodaty, H
- Abstract
BACKGROUND: Maintain Your Brain (MYB) is a randomized controlled trial of an online multi-modal lifestyle intervention targeting modifiable dementia risk factors with its primary aim being to reduce cognitive decline in an older age cohort. METHODS: MYB aims to recruit 8,500 non-demented community dwelling 55 to 77 year olds from the Sax Institute's 45 and Up Study in New South Wales, Australia. Participants will be screened for risk factors related to four modules that comprise the MYB intervention: physical activity, nutrition, mental health, and cognitive training. Targeting risk factors will enable interventions to be personalized so that participants receive the most appropriate modules. MYB will run for three years and up to four modules will be delivered sequentially each quarter during year one. Upon completing a module, participants will continue to receive less frequent booster activities for their eligible modules (except for the mental health module) until the end of the trial. DISCUSSION: MYB will be the largest internet-based trial to attempt to prevent cognitive decline and potentially dementia. If successful, MYB will provide a model for not just effective intervention among older adults, but an intervention that is scalable for broad use.
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- 2019
17. Can cost-effectiveness results be combined into a coherent league table? Case study from one high-income country
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Wilson, N, Davies, A, Brewer, N, Nghiem, N, Cobiac, L, Blakely, T, Wilson, N, Davies, A, Brewer, N, Nghiem, N, Cobiac, L, and Blakely, T
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BACKGROUND: Doubts exist around the value of compiling league tables for cost-effectiveness results for health interventions, primarily due to methods differences. We aimed to determine if a reasonably coherent league table could be compiled using published studies for one high-income country: New Zealand (NZ). METHODS: Literature searches were conducted to identify NZ-relevant studies published in the peer-reviewed journal literature between 1 January 2010 and 8 October 2017. Only studies with the following metrics were included: cost per quality-adjusted life-year or disability-adjusted life-year or life-year (QALY/DALY/LY). Key study features were abstracted and a summary league table produced which classified the studies in terms of cost-effectiveness. RESULTS: A total of 21 cost-effectiveness studies which met the inclusion criteria were identified. There were some large methodological differences between the studies, particularly in the time horizon (1 year to lifetime) but also discount rates (range 0 to 10%). Nevertheless, we were able to group the incremental cost-effectiveness ratios (ICERs) into general categories of being reported as cost-saving (19%), cost-effective (71%), and not cost-effective (10%). The median ICER (adjusted to 2017 NZ$) was ~ $5000 per QALY/DALY/LY (~US$3500). However, for some interventions, there is high uncertainty around the intervention effectiveness and declining adherence over time. CONCLUSIONS: It seemed possible to produce a reasonably coherent league table for the ICER values from different studies (within broad groupings) in this high-income country. Most interventions were cost-effective and a fifth were cost-saving. Nevertheless, study methodologies did vary widely and researchers need to pay more attention to using standardised methods that allow their results to be included in future league tables.
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- 2019
18. The modelled impact of increases in physical activity: the effect of both increased survival and reduced incidence of disease
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Mytton, OT, Tainio, M, Ogilvie, D, Panter, J, Cobiac, L, Woodcock, J, Mytton, Oliver [0000-0003-3218-9912], Tainio, Marko [0000-0002-0973-2342], Ogilvie, David [0000-0002-0270-4672], Panter, Jenna [0000-0001-8870-718X], Woodcock, James [0000-0003-4769-5375], and Apollo - University of Cambridge Repository
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modelling ,disease burden ,physical activity ,lifetable ,survival - Abstract
Physical activity can affect ‘need’ for healthcare both by reducing the incidence rate of some diseases and by increasing longevity (increasing the time lived at older ages when disease incidence is higher). However, it is common to consider only the first effect, which may overestimate any reduction in need for healthcare. We developed a hybrid micro-simulation lifetable model, which made allowance for both changes in longevity and risk of disease incidence, to estimate the effects of increases in physical activity (all adults meeting guidelines) on measures of healthcare need for diseases for which physical activity is protective. These were compared with estimates made using comparative risk assessment (CRA) methods, which assumed that longevity was fixed. Using the lifetable model, life expectancy increased by 95 days (95% uncertainty intervals: 68–126 days). Estimates of the healthcare need tended to decrease, but the magnitude of the decreases were noticeably smaller than those estimated using CRA methods (e.g. dementia: change in person- years, -0.6%, 95% uncertainty interval -3.7% to +1.6%; change in incident cases, -0.4%, -3.6% to +1.9%; change in person-years (CRA methods), -4.0%, -7.4% to -1.6%). The pattern of results persisted under different scenarios and sensitivity analyses. For most diseases for which physical activity is protective, increases in physical activity are associated with decreases in indices of healthcare need. However, disease onset may be delayed or time lived with disease may increase, such that the decreases in need may be relatively small and less than is sometimes expected.
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- 2017
19. Dietary habits and the perception and liking of sweetness among Australian and Malaysian students: A cross-cultural study
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Holt, S.H.A, Cobiac, L, Beaumont-Smith, N.E, Easton, K, and Best, D.J
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- 2000
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20. The Eatwell Guide: modelling the dietary and cost implications of incorporating new sugar and fibre guidelines
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Scarborough, P, Kaur, A, Cobiac, L, Owens, P, Parlesak, A, Sweeney, K, and Rayner, M
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food and beverages - Abstract
Objectives: To model food group consumption and price of diet associated with achieving UK dietary recommendations whilst deviating as little as possible from the current UK diet, in order to support the redevelopment of the UK food food-based dietary guidelines (now called the Eatwell Guide). Design: Optimisation modelling, minimising an objective function of the difference between population mean modelled and current consumption of 125 food groups, and constraints of nutrient and food-based recommendations. Setting: UK Population: Adults aged 19y and above from the National Diet and Nutrition Survey 2008-2011. Main outcome measures: Proportion of diet consisting of major foods groups and price of the optimised diet. Results: The optimised diet has an increase in consumption of “potatoes, bread, rice, pasta and other starchy carbohydrates” (+69%) and “fruit and vegetables” (+54%) and reductions in consumption of “beans, pulses, fish, eggs, meat and other proteins” (-24%), “dairy and alternatives” (-21%), and “foods high in fat and sugar” (-53%). Results within food groups show considerable variety (e.g. +90% for beans and pulses, -78% for red meat). The modelled diet would cost £5.99 (£5.93 to £6.05) per adult per day, very similar to the cost of the current diet: £6.02 (£5.96 to £6.08). The optimised diet would result in increased consumption of n3 fatty acids and most micronutrients (including iron and folate), but decreased consumption of zinc and small decreases in calcium and riboflavin. Conclusions: To achieve the UK dietary recommendations would require large changes to the average diet of UK adults, including in food groups where current average consumption is well within the recommended range (e.g. processed meat) or where there are no current 3 recommendations (e.g. dairy). These large changes in the diet will not lead to significant changes in the price of the diet.
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- 2016
21. Assessing the external validity of model-based estimates of the incidence of heart attack in England: a modelling study
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Scarborough, P, Mizdrak, A, Smolina, K, Cobiac, L, and Briggs, A
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DisMod ,Adult ,Male ,lcsh:Public aspects of medicine ,Incidence ,Public Health, Environmental and Occupational Health ,Myocardial Infarction ,lcsh:RA1-1270 ,Middle Aged ,Models, Theoretical ,Hospital Records ,Modelling ,Death Certificates ,Validity ,Hospitalization ,England ,Prevalence ,Humans ,Female ,Research Article ,Aged - Abstract
Background The DisMod II model is designed to estimate epidemiological parameters on diseases where measured data are incomplete and has been used to provide estimates of disease incidence for the Global Burden of Disease study. We assessed the external validity of the DisMod II model by comparing modelled estimates of the incidence of first acute myocardial infarction (AMI) in England in 2010 with estimates derived from a linked dataset of hospital records and death certificates. Methods Inputs for DisMod II were prevalence rates of ever having had an AMI taken from a population health survey, total mortality rates and AMI mortality rates taken from death certificates. By definition, remission rates were zero. We estimated first AMI incidence in an external dataset from England in 2010 using a linked dataset including all hospital admissions and death certificates since 1998. 95 % confidence intervals were derived around estimates from the external dataset and DisMod II estimates based on sampling variance and reported uncertainty in prevalence estimates respectively. Results Estimates of the incidence rate for the whole population were higher in the DisMod II results than the external dataset (+54 % for men and +26 % for women). Age-specific results showed that the DisMod II results over-estimated incidence for all but the oldest age groups. Confidence intervals for the DisMod II and external dataset estimates did not overlap for most age groups. Conclusion By comparison with AMI incidence rates in England, DisMod II did not achieve external validity for age-specific incidence rates, but did provide global estimates of incidence that are of similar magnitude to measured estimates. The model should be used with caution when estimating age-specific incidence rates.
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- 2016
22. Cost-effectiveness of volumetric alcohol taxation in Australia
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Byrnes, J. M., Cobiac, L. J., Doran, C. M., Vos, T., and Anthony Shakeshaft
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health care economics and organizations - Abstract
OBJECTIVE: To estimate the potential health benefits and cost savings of an alcohol tax rate that applies equally to all alcoholic beverages based on their alcohol content (volumetric tax) and to compare the cost savings with the cost of implementation. DESIGN AND SETTING: Mathematical modelling of three scenarios of volumetric alcohol taxation for the population of Australia: (i) no change in deadweight loss, (ii) no change in tax revenue, and (iii) all alcoholic beverages taxed at the same rate as spirits. MAIN OUTCOME MEASURES: Estimated change in alcohol consumption, tax revenue and health benefit. RESULTS: The estimated cost of changing to a volumetric tax rate is $18 million. A volumetric tax that is deadweight loss-neutral would increase the cost of beer and wine and reduce the cost of spirits, resulting in an estimated annual increase in taxation revenue of $492 million and a 2.77% reduction in annual consumption of pure alcohol. The estimated net health gain would be 21 000 disability-adjusted life-years (DALYs), with potential cost offsets of $110 million per annum. A tax revenue-neutral scenario would result in an 0.05% decrease in consumption, and a tax on all alcohol at a spirits rate would reduce consumption by 23.85% and increase revenue by $3094 million [corrected]. All volumetric tax scenarios would provide greater health benefits and cost savings to the health sector than the existing taxation system, based on current understandings of alcohol-related health effects. CONCLUSIONS: An equalized volumetric tax that would reduce beer and wine consumption while increasing the consumption of spirits would need to be approached with caution. Further research is required to examine whether alcohol-related health effects vary by type of alcoholic beverage independent of the amount of alcohol consumed to provide a strong evidence platform for alcohol taxation policies.
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- 2016
23. Obesity-related health impacts of fuel excise taxation- an evidence review and cost-effectiveness study
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Brown, V., primary, Moodie, M., additional, Cobiac, L., additional, Mantilla Herrera, A. M., additional, and Carter, R., additional
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- 2017
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24. Obesity-related health impacts of fuel excise taxation- an evidence review and cost-effectiveness study
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Brown, V., Moodie, M., Cobiac, L., Mantilla Herrera, A. M., Carter, R., Brown, V., Moodie, M., Cobiac, L., Mantilla Herrera, A. M., and Carter, R.
- Abstract
Background Reducing automobile dependence and improving rates of active transport may reduce the impact of obesogenic environments, thereby decreasing population prevalence of obesity and other diseases where physical inactivity is a risk factor. Increasing the relative cost of driving by an increase in fuel taxation may therefore be a promising public health intervention for obesity prevention. Methods A scoping review of the evidence for obesity or physical activity effect of changes in fuel price or taxation was undertaken. Potential health benefits of an increase in fuel excise taxation in Australia were quantified using Markov modelling to simulate obesity, injury and physical activity related health impacts of a fuel excise taxation intervention for the 2010 Australian population. Health adjusted life years (HALYs) gained and healthcare cost savings from diseases averted were estimated. Incremental cost-effectiveness ratios (ICERs) were reported and results were tested through sensitivity analysis. Results Limited evidence on the effect of policies such as fuel taxation on health-related behaviours currently exists. Only three studies were identified reporting associations between fuel price or taxation and obesity, whilst nine studies reported associations specifically with physical activity, walking or cycling. Estimates of the cross price elasticity of demand for public transport with respect to fuel price vary, with limited consensus within the literature on a probable range for the Australian context. Cost-effectiveness modelling of a AUD0.10 per litre increase in fuel excise taxation using a conservative estimate of cross price elasticity for public transport suggests that the intervention would be cost-effective from a limited societal perspective (237 HALYs gained, AUD2.6 M in healthcare cost savings), measured against a comparator of no additional increase in fuel excise. Under “best case
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- 2017
25. Obesity-related health impacts of active transport policies in Australia - a policy review and health impact modelling study
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Brown, V, Moodie, M, Cobiac, L, Mantilla, H, Carter, R, Brown, V, Moodie, M, Cobiac, L, Mantilla, H, and Carter, R
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OBJECTIVE: To review Australian policies on active transport, defined as walking and cycling for utilitarian purposes. To estimate the potential health impact of achieving four active transport policy scenarios. METHODS: A policy review was undertaken, using key words to search government websites. Potential health benefits were quantified using a cohort simulation Markov model to estimate obesity and transport injury-related health effects of an increase in active transport. Health adjusted life years (HALYs) gained and healthcare cost savings from diseases averted were estimated. Budget thresholds to achieve cost-effectiveness were estimated for each scenario. RESULTS: There is broad recognition of the health-related benefits of active transport from all levels of Australian government. Modelling results suggest significant health-related benefits of achieving increased prevalence of active transport. Total HALYs saved assuming a one-year effect ranged from 565 (95%UI 173-985) to 12,105 (95%UI 4,970-19,707), with total healthcare costs averted ranging from $6.6M (95%UI $1.9M-11.3M) to $141.2M (95%UI $53.8M-227.8M). CONCLUSION: Effective interventions that improve rates of active transport may result in substantial healthcare-related cost savings through a decrease in conditions related to obesity. Implications for public health: Significant potential exists for effective and cost-effective interventions that result in more walking and cycling.
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- 2017
26. Obesity-related health impacts of fuel excise taxation-an evidence review and cost-effectiveness study
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Brown, V, Moodie, M, Cobiac, L, Herrera, AMM, Carter, R, Brown, V, Moodie, M, Cobiac, L, Herrera, AMM, and Carter, R
- Abstract
BACKGROUND: Reducing automobile dependence and improving rates of active transport may reduce the impact of obesogenic environments, thereby decreasing population prevalence of obesity and other diseases where physical inactivity is a risk factor. Increasing the relative cost of driving by an increase in fuel taxation may therefore be a promising public health intervention for obesity prevention. METHODS: A scoping review of the evidence for obesity or physical activity effect of changes in fuel price or taxation was undertaken. Potential health benefits of an increase in fuel excise taxation in Australia were quantified using Markov modelling to simulate obesity, injury and physical activity related health impacts of a fuel excise taxation intervention for the 2010 Australian population. Health adjusted life years (HALYs) gained and healthcare cost savings from diseases averted were estimated. Incremental cost-effectiveness ratios (ICERs) were reported and results were tested through sensitivity analysis. RESULTS: Limited evidence on the effect of policies such as fuel taxation on health-related behaviours currently exists. Only three studies were identified reporting associations between fuel price or taxation and obesity, whilst nine studies reported associations specifically with physical activity, walking or cycling. Estimates of the cross price elasticity of demand for public transport with respect to fuel price vary, with limited consensus within the literature on a probable range for the Australian context. Cost-effectiveness modelling of a AUD0.10 per litre increase in fuel excise taxation using a conservative estimate of cross price elasticity for public transport suggests that the intervention would be cost-effective from a limited societal perspective (237 HALYs gained, AUD2.6 M in healthcare cost savings), measured against a comparator of no additional increase in fuel excise. Under "best case" assumptions, the intervention would be more cost-effective
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- 2017
27. Eatwell Guide: modelling the dietary and cost implications of incorporating new sugar and fibre guidelines.
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Scarborough, P, Kaur, A, Cobiac, L, Owens, P, Parlesak, A, Sweeney, K, Rayner, M, Scarborough, P, Kaur, A, Cobiac, L, Owens, P, Parlesak, A, Sweeney, K, and Rayner, M
- Abstract
OBJECTIVES: To model food group consumption and price of diet associated with achieving UK dietary recommendations while deviating as little as possible from the current UK diet, in order to support the redevelopment of the UK food-based dietary guidelines (now called the Eatwell Guide). DESIGN: Optimisation modelling, minimising an objective function of the difference between population mean modelled and current consumption of 125 food groups, and constraints of nutrient and food-based recommendations. SETTING: The UK. POPULATION: Adults aged 19 years and above from the National Diet and Nutrition Survey 2008-2011. MAIN OUTCOME MEASURES: Proportion of diet consisting of major foods groups and price of the optimised diet. RESULTS: The optimised diet has an increase in consumption of 'potatoes, bread, rice, pasta and other starchy carbohydrates' (+69%) and 'fruit and vegetables' (+54%) and reductions in consumption of 'beans, pulses, fish, eggs, meat and other proteins' (-24%), 'dairy and alternatives' (-21%) and 'foods high in fat and sugar' (-53%). Results within food groups show considerable variety (eg, +90% for beans and pulses, -78% for red meat). The modelled diet would cost £5.99 (£5.93 to £6.05) per adult per day, very similar to the cost of the current diet: £6.02 (£5.96 to £6.08). The optimised diet would result in increased consumption of n-3 fatty acids and most micronutrients (including iron and folate), but decreased consumption of zinc and small decreases in consumption of calcium and riboflavin. CONCLUSIONS: To achieve the UK dietary recommendations would require large changes in the average diet of UK adults, including in food groups where current average consumption is well within the recommended range (eg, processed meat) or where there are no current recommendations (eg, dairy). These large changes in the diet will not lead to significant changes in the price of the diet.
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- 2016
28. Removing the GST exemption for fresh fruits and vegetables could cost lives
- Author
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Veerman, J and Cobiac, L
- Published
- 2013
29. The global cardiovascular risk transition: associations of four metabolic risk factors with national income, urbanization, and Western diet in 1980 and 2008
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Danaei, G., Singh, G., Paciorek, C., Lin, J., Cowan, M., Finucane, M., Farzadfar, F., Stevens, G., Riley, L., Lu, Y., Rao, M., Ezzati, M., Global Burden of Metabolic Risk Factors of Chronic Diseases Collaborating Group, Aamodt, G., Abdeen, Z., Abdella, N., Rahim, H., Addo, J., Aekplakorn, W., Afifi, M., Agabiti Rosei, E., Aguilar Salinas CA, Agyemang, C., Ali, M., Al Nsour, M., Al Nuaim AR, Ambady, R., Aro, P., Azizi, F., Barbagallo, C., Barbieri, M., Barceló, A., Barreto, S., Barros, H., Bautista, L., Benetos, A., Bjerregaard, P., Björkelund, C., Bo, S., Bobak, M., Bonora, E., Bontha, B., Botana, M., Bovet, P., Breckenkamp, J., Breteler, M., Broda, G., Brown, I., Bursztyn, M., Cabrera de León, A., Campos, H., Cappuccio, F., Capuano, V., Casiglia, E., Castellano, M., Castetbon, K., Cea, L., Chang, C., Chaouki, N., Chatterji, S., Chen, Z., Chen, C., Choi, J., Chua, L., Cífková, R., Cobiac, L., Cooper, R., Corsi, A., Costanza, M., Craig, C., Dankner, R., Dastgiri, S., Delgado, E., Dinc, G., Doi, Y., Dong, G., Dorsi, E., Dragano, N., Drewnowski, A., Eggertsen, W., Elliott, P., Engeland, A., Erem, C., Esteghamati, A., Fall, C., Fan, J., Ferreccio, C., Fezeu, L., Firmo, J., Florez, H., Fornés, N., Fowkes, F., Franceschini, G., Frisk, F., Fuchs, F., Fuller, E., Getz, L., Giampaoli, S., Gómez, L., Gomez Zumaquero JM, Graff Iversen, S., Grant, J., Guerrero Carvajal, R., Gulliford, M., Gupta, R., Gupta, P., Gureje, O., Hansen, T., Hata, J., He, J., Heim, N., Heinrich, J., Hemmingsson, T., Hennis, A., Herman, W., Herrera, V., Ho, S., Holdsworth, M., Hollman Frisman, G., Hopman, W., Hussain, A., Husseini, A., Ibrahim, M., Ikeda, N., Jacobsen, B., Jaddou, H., Jafar, T., Janghorbani, M., Jasienska, G., Joffres, M., Jonas, J., Kadiki, O., Kalter Leibovici, O., Kamadjeu, R., Karalis, I., Kastarinen, M., Katz, J., Keinan Boker, L., Kelly, P., Khalilzadeh, O., Khang, Y., Kiechl, S., Kim, K., Kiyohara, Y., Kobayashi, J., Krause, M., Kubínová, R., Kurjata, P., Kusuma, Y., Lam, T., Langhammer, A., Lawes, C., Le, C., Lee, J., Lévy Marchal, C., Li, Y., Lim, S., Lim, T., Lin, X., Lin, C., Lin, H., Lind, L., Lissner, L., Liu, X., Lopez Jaramillo, P., Lorbeer, R., Ma, G., Ma, S., Macià, F., Maclean, D., Maggi, S., Magliano, D., Makdisse, M., Mancia, G., Mannami, T., Marques Vidal, P., Mbanya, J., McFarlane Anderson, N., Miccoli, R., Miettola, J., Minh, H., Miquel, J., Miranda, J., Mohamed, M., Mohan, V., Mohanna, S., Mokdad, A., Mollentze, W., Morales, D., Morgan, K., Muiesan, L., Muntoni, S., Nabipour, I., Nakagami, T., Nangia, V., Nemesure, B., Neovius, M., Nerhus, K., Nervi, F., Neuhauser, H., Nguyen, M., Ninomiya, T., Noale, M., Oh, S., Ohkubo, T., Olivieri, O., Önal, A., Onat, A., Oróstegui, M., Ouedraogo, H., Pan, W., Panagiotakos, D., Panza, F., Park, Y., Passos, V., Pednekar, M., Peres, M., Pérez, C., Pérez Fernández, R., Pichardo, R., Phua, H., Pistelli, F., Plans, P., Polakowska, M., Poulter, N., Prabhakaran, D., Qiao, Q., Rafiei, M., Raitakari, O., Ramos, L., Rampal, S., Rampal, L., Rasmussen, F., Reddy, K., Redon, J., Revilla, L., Reyes García, V., Roaeid, R., Rodriguez Artalejo, F., Rojas Martinez, R., Ronkainen, K., Rosero Bixby, L., Roth, G., Sachdev, H., Sánchez, J., Sanisoglu, S., Sans, S., Sarraf Zadegan, N., Scazufca, M., Schaan, B., Schapochnik, N., Schelleman, H., Schneider, I., Schooling, C., Schwarz, B., Sekuri, C., Sereday, M., Serra Majem, L., Shaw, J., Shera, A., Shi, Z., Shiri, R., Shu, X., Silva, D., Silva, E., Simons, L., Smith, M., Söderberg, S., Soebardi, S., Solfrizzi, V., Sonestedt, E., Soysal, A., Stattin, P., Stein, A., Stergiou, G., Stessman, J., Sudo, A., Suka, M., Sundh, V., Sundquist, K., Sundström, J., Swai, A., Tai, E., Tambs, K., Tesfaye, F., Thomas, G., Thorogood, M., Tilvis, R., Tobias, M., Torheim, L., Trenkwalder, P., Tuomilehto, J., Tur, J., Tzourio, C., Uhernik, A., Ukoli, F., Unwin, N., Vander Hoorn, S., Vanderpump, M., Varo, J., Veierød, B., Velásquez Meléndez, G., Verschuren, M., Viet, L., Villalpando, S., Vioque, J., Vollenweider, P., Volpato, S., Wang, N., Wang, Y., Ward, M., Waspadji, S., Welin, L., Wilhelmsen, L., Willeit, J., Woodward, M., Xavier, A., Xu, F., Xu, L., Yamamoto, A., Yang, G., Yang, X., Yeh, L., Yoon, J., You, Q., Yu, Z., Zhang, J., Zhang, L., Zheng, W., Zhou, M., Danaei G, Singh GM, Paciorek CJ, Lin JK, Cowan MJ, Finucane MM, Farzadfar F, Stevens GA, Riley LM, Lu Y, Rao M, Ezzati M and Global Burden of Metabolic Risk Factors of Chronic Diseases Collaborating Group, Aamodt G, Abdeen Z, Abdella NA, Rahim HF, Addo J, Aekplakorn W, Afifi MM, Agabiti-Rosei E, Aguilar Salinas CA, Agyemang C, Ali MM, Al-Nsour M, Al-Nuaim AR, Ambady R, Aro P, Azizi F, Barbagallo CM, Barbieri MA, Barceló A, Barreto SM, Barros H, Bautista LE, Benetos A, Bjerregaard P, Björkelund C, Bo S, Bobak M, Bonora E, Bontha BV, Botana MA, Bovet P, Breckenkamp J, Breteler MM, Broda G, Brown IJ, Bursztyn M, Cabrera de León A, Campos H, Cappuccio FP, Capuano V, Casiglia E, Castellano M, Castetbon K, Cea L, Chang CJ, Chaouki N, Chatterji S, Chen Z, Chen CJ, Choi JS, Chua L, Cífková R, Cobiac LJ, Cooper RS, Corsi AM, Costanza MC, Craig CL, Dankner RS, Dastgiri S, Delgado E, Dinc G, Doi Y, Dong GH, Dorsi E, Dragano N, Drewnowski A, Eggertsen W, Elliott P, Engeland A, Erem C, Esteghamati A, Fall CH, Fan JG, Ferreccio C, Fezeu L, Firmo JO, Florez HJ, Fornés NS, Fowkes FG, Franceschini G, Frisk F, Fuchs FD, Fuller EL, Getz L, Giampaoli S, Gómez LF, Gomez-Zumaquero JM, Graff-Iversen S, Grant JF, Guerrero Carvajal R, Gulliford MC, Gupta R, Gupta PC, Gureje O, Hansen TW, Hata J, He J, Heim N, Heinrich J, Hemmingsson T, Hennis A, Herman WH, Herrera VM, Ho S, Holdsworth M, Hollman Frisman G, Hopman WM, Hussain A, Husseini A, Ibrahim M, Ikeda N, Jacobsen BK, Jaddou HY, Jafar TH, Janghorbani M, Jasienska G, Joffres MR, Jonas JB, Kadiki OA, Kalter-Leibovici O, Kamadjeu RM, Karalis I, Kastarinen MJ, Katz J, Keinan-Boker L, Kelly P, Khalilzadeh O, Khang YH, Kiechl S, Kim KW, Kiyohara Y, Kobayashi J, Krause MP, Kubínová R, Kurjata P, Kusuma YS, Lam TH, Langhammer A, Lawes CM, Le C, Lee J, Lévy-Marchal C, Li Y, Lim S, Lim TO, Lin X, Lin CC, Lin HH, Lind L, Lissner L, Liu X, Lopez-Jaramillo P, Lorbeer R, Ma G, Ma S, Macià F, MacLean DR, Maggi S, Magliano DJ, Makdisse M, Mancia G, Mannami T, Marques-Vidal P, Mbanya JC, McFarlane-Anderson N, Miccoli R, Miettola J, Minh HV, Miquel JF, Miranda J, Mohamed MK, Mohan V, Mohanna S, Mokdad A, Mollentze WF, Morales DD, Morgan K, Muiesan LM, Muntoni S, Nabipour I, Nakagami T, Nangia V, Nemesure B, Neovius M, Nerhus KA, Nervi F, Neuhauser H, Nguyen M, Ninomiya T, Noale M, Oh SW, Ohkubo T, Olivieri O, Önal AE, Onat A, Oróstegui M, Ouedraogo H, Pan WH, Panagiotakos DB, Panza F, Park Y, Passos VM, Pednekar MS, Peres MA, Pérez C, Pérez-Fernández R, Pichardo R, Phua HP, Pistelli F, Plans P, Polakowska M, Poulter N, Prabhakaran D, Qiao Q, Rafiei M, Raitakari OT, Ramos LR, Rampal S, Rampal L, Rasmussen F, Reddy KK, Redon J, Revilla L, Reyes-García V, Roaeid RB, Rodriguez-Artalejo F, Rojas-Martinez R, Ronkainen K, Rosero-Bixby L, Roth GA, Sachdev HS, Sánchez JR, Sanisoglu SY, Sans S, Sarraf-Zadegan N, Scazufca M, Schaan BD, Schapochnik N, Schelleman H, Schneider IJ, Schooling C, Schwarz B, Sekuri C, Sereday MS, Serra-Majem L, Shaw J, Shera AS, Shi Z, Shiri R, Shu XO, Silva DA, Silva E, Simons LA, Smith M, Söderberg S, Soebardi S, Solfrizzi V, Sonestedt E, Soysal A, Stattin P, Stein AD, Stergiou GS, Stessman J, Sudo A, Suka M, Sundh V, Sundquist K, Sundström J, Swai AB, Tai E, Tambs K, Tesfaye F, Thomas GN, Thorogood M, Tilvis RS, Tobias M, Torheim LE, Trenkwalder P, Tuomilehto JO, Tur JA, Tzourio C, Uhernik AI, Ukoli FA, Unwin N, Vander Hoorn S, Vanderpump MP, Varo JJ, Veierød B, Velásquez-Meléndez G, Verschuren M, Viet L, Villalpando S, Vioque J, Vollenweider P, Volpato S, Wang N, Wang YX, Ward M, Waspadji S, Welin LX, Wilhelmsen L, Willeit J, Woodward M, Xavier AJ, Xu F, Xu L, Yamamoto A, Yang G, Yang X, Yeh LC, Yoon JS, You Q, Yu Z, Zhang J, Zhang L, Zheng W, Zhou M, ACS - Amsterdam Cardiovascular Sciences, APH - Amsterdam Public Health, and Public and occupational health
- Subjects
Gerontology ,Adult ,Male ,Risk ,medicine.medical_specialty ,Settore MED/09 - Medicina Interna ,Measures of national income and output ,Population ,Hypercholesterolemia ,OBESIDADE ,Blood Pressure ,Global Health ,Body Mass Index ,Age Distribution ,Risk Factors ,cardiovascular disease ,Physiology (medical) ,Diabetes mellitus ,risk factors ,Epidemiology ,medicine ,Diabetes Mellitus ,Humans ,Obesity ,Risk factor ,Sex Distribution ,education ,Developing Countries ,Cholesterolo ,education.field_of_study ,business.industry ,Urbanization ,Feeding Behavior ,Middle Aged ,medicine.disease ,Blood pressure ,Cholesterol ,Socioeconomic Factors ,Cardiovascular Diseases ,Hypertension ,Western World ,Female ,Cardiology and Cardiovascular Medicine ,business ,Body mass index ,Demography - Abstract
Background— It is commonly assumed that cardiovascular disease risk factors are associated with affluence and Westernization. We investigated the associations of body mass index (BMI), fasting plasma glucose, systolic blood pressure, and serum total cholesterol with national income, Western diet, and, for BMI, urbanization in 1980 and 2008. Methods and Results— Country-level risk factor estimates for 199 countries between 1980 and 2008 were from a previous systematic analysis of population-based data. We analyzed the associations between risk factors and per capita national income, a measure of Western diet, and, for BMI, the percentage of the population living in urban areas. In 1980, there was a positive association between national income and population mean BMI, systolic blood pressure, and total cholesterol. By 2008, the slope of the association between national income and systolic blood pressure became negative for women and zero for men. Total cholesterol was associated with national income and Western diet in both 1980 and 2008. In 1980, BMI rose with national income and then flattened at ≈Int$7000; by 2008, the relationship resembled an inverted U for women, peaking at middle-income levels. BMI had a positive relationship with the percentage of urban population in both 1980 and 2008. Fasting plasma glucose had weaker associations with these country macro characteristics, but it was positively associated with BMI. Conclusions— The changing associations of metabolic risk factors with macroeconomic variables indicate that there will be a global pandemic of hyperglycemia and diabetes mellitus, together with high blood pressure in low-income countries, unless effective lifestyle and pharmacological interventions are implemented.
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- 2013
30. Follow-up plasma apolipoprotein E levels in the Australian Imaging, Biomarkers and Lifestyle Flagship Study of Ageing (AIBL) cohort
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Gupta, V.B., Wilson, A.C., Burnham, S., Hone, E., Pedrini, S., Laws, S.M., Lim, W.L.F., Rembach, A., Rainey-Smith, S., Ames, D., Cobiac, L., Macaulay, S.L., Masters, C.L., Rowe, C.C., Bush, A.I., Martins, R.N., Gupta, V.B., Wilson, A.C., Burnham, S., Hone, E., Pedrini, S., Laws, S.M., Lim, W.L.F., Rembach, A., Rainey-Smith, S., Ames, D., Cobiac, L., Macaulay, S.L., Masters, C.L., Rowe, C.C., Bush, A.I., and Martins, R.N.
- Abstract
Introduction: Alzheimer's disease (AD) is a growing socioeconomic problem worldwide. Early diagnosis and prevention of this devastating disease have become a research priority. Consequently, the identification of clinically significant and sensitive blood biomarkers for its early detection is very important. Apolipoprotein E (APOE) is a well-known and established genetic risk factor for late-onset AD; however, the impact of the protein level on AD risk is unclear. We assessed the utility of plasma ApoE protein as a potential biomarker of AD in the large, well-characterised Australian Imaging, Biomarkers and Lifestyle Study of Ageing (AIBL) cohort. Methods: Total plasma ApoE levels were measured at 18-month follow-up using a commercial bead-based enzyme-linked immunosorbent assay: the Luminex xMAP human apolipoprotein kit. ApoE levels were then analysed between clinical classifications (healthy controls, mild cognitive impairment (MCI) and AD) and correlated with the data available from the AIBL cohort, including but not limited to APOE genotype and cerebral amyloid burden. Results: A significant decrease in ApoE levels was found in the AD group compared with the healthy controls. These results validate previously published ApoE protein levels at baseline obtained using different methodology. ApoE protein levels were also significantly affected, depending on APOE genotypes, with ε2/ε2 having the highest protein levels and ε4/ε4 having the lowest. Plasma ApoE levels were significantly negatively correlated with cerebral amyloid burden as measured by neuroimaging. Conclusions: ApoE is decreased in individuals with AD compared with healthy controls at 18-month follow-up, and this trend is consistent with our results published at baseline. The influence of APOE genotype and sex on the protein levels are also explored. It is clear that ApoE is a strong player in the aetiology of this disease at both the protein and genetic levels.
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- 2015
31. Follow-up plasma apolipoprotein e levels in the Australian Imaging, Biomarkers and Lifestyle Flagship Study of Ageing (AIBL) cohort
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Gupta, Veer, Wilson, AC, Burnham, S, Hone, E, Pedrini, S, Laws, SM, Lim, WLF, Rembach, A, Rainey-Smith, S, Ames, D, Cobiac, L, MacAulay, SL, Masters, CL, Rowe, CC, Bush, AI, Martins, RN, Gupta, Veer, Wilson, AC, Burnham, S, Hone, E, Pedrini, S, Laws, SM, Lim, WLF, Rembach, A, Rainey-Smith, S, Ames, D, Cobiac, L, MacAulay, SL, Masters, CL, Rowe, CC, Bush, AI, and Martins, RN
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- 2015
32. Past and projected trends of body mass index and weight status in South Australia: 2003 to 2019
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Hendrie, G., Ullah, S., Scott, Jane, Gray, J., Berry, N., Booth, S., Carter, P., Cobiac, L., Coveney, J., Hendrie, G., Ullah, S., Scott, Jane, Gray, J., Berry, N., Booth, S., Carter, P., Cobiac, L., and Coveney, J.
- Abstract
OBJECTIVE: Functional data analysis (FDA) is a forecasting approach that, to date, has not been applied to obesity, and that may provide more accurate forecasting analysis to manage uncertainty in public health. This paper uses FDA to provide projections of Body Mass Index (BMI), overweight and obesity in an Australian population through to 2019. METHODS: Data from the South Australian Monitoring and Surveillance System (January 2003 to December 2012, n=51,618 adults) were collected via telephone interview survey. FDA was conducted in four steps: 1) age-gender specific BMIs for each year were smoothed using a weighted regression; 2) the functional principal components decomposition was applied to estimate the basis functions; 3) an exponential smoothing state space model was used for forecasting the coefficient series; and 4) forecast coefficients were combined with the basis function. RESULTS: The forecast models suggest that between 2012 and 2019 average BMI will increase from 27.2 kg/m(2) to 28.0 kg/m(2) in males and 26.4 kg/m(2) to 27.6 kg/m(2) in females. The prevalence of obesity is forecast to increase by 6-7 percentage points by 2019 (to 28.7% in males and 29.2% in females). CONCLUSIONS: Projections identify age-gender groups at greatest risk of obesity over time. The novel approach will be useful to facilitate more accurate planning and policy development.
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- 2015
33. Cost-effectiveness of volumetric alcohol taxation in Australia (Medical Journal of Australia (2010) 192, (439-443))
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Joshua Byrnes, Cobiac, L. J., Doran, C. M., Vos, T., and Shakeshaft, A. P.
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- 2010
34. Predicting Alzheimer disease with β-amyloid imaging: Results from the Australian imaging, biomarkers, and lifestyle study of ageing
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Rowe, C.C., Bourgeat, P., Ellis, K.A., Brown, B., Lim, Y.Y., Mulligan, R., Jones, G., Maruff, P., Woodward, M., Price, R., Robins, P., Tochon-Danguy, H., O'Keefe, G., Pike, K.E., Yates, P., Szoeke, C., Salvado, O., Macaulay, S.L., O'Meara, T., Head, R., Cobiac, L., Savage, G., Martins, R., Masters, C.L., Ames, D., Villemagne, V.L., Rowe, C.C., Bourgeat, P., Ellis, K.A., Brown, B., Lim, Y.Y., Mulligan, R., Jones, G., Maruff, P., Woodward, M., Price, R., Robins, P., Tochon-Danguy, H., O'Keefe, G., Pike, K.E., Yates, P., Szoeke, C., Salvado, O., Macaulay, S.L., O'Meara, T., Head, R., Cobiac, L., Savage, G., Martins, R., Masters, C.L., Ames, D., and Villemagne, V.L.
- Abstract
Objective Biomarkers for Alzheimer disease (AD) can detect the disease pathology in asymptomatic subjects and individuals with mild cognitive impairment (MCI), but their cognitive prognosis remains uncertain. We aimed to determine the prognostic value of β‐amyloid imaging, alone and in combination with memory performance, hippocampal atrophy, and apolipoprotein E ε4 status in nondemented, older individuals. Methods A total of 183 healthy individuals (age = 72.0 ± 7.26 years) and 87 participants with MCI (age = 73.7 ± 8.27) in the Australian Imaging, Biomarkers, and Lifestyle study of ageing were studied. Clinical reclassification was performed after 3 years, blind to biomarker findings. β‐Amyloid imaging was considered positive if the 11C‐Pittsburgh compound B cortical to reference ratio was ≥1.5. Results Thirteen percent of healthy persons progressed (15 to MCI, 8 to dementia), and 59% of the MCI cohort progressed to probable AD. Multivariate analysis showed β‐amyloid imaging as the single variable most strongly associated with progression. Of combinations, subtle memory impairment (Z score = −0.5 to −1.5) with a positive amyloid scan was most strongly associated with progression in healthy individuals (odds ratio [OR] = 16, 95% confidence interval [CI] = 3.7–68; positive predictive value [PPV] = 50%, 95% CI = 19–81; negative predictive value [NPV] = 94%, 95% CI = 88–98). Almost all amnestic MCI subjects (Z score ≤ −1.5) with a positive amyloid scan developed AD (OR = ∞; PPV = 86%, 95% CI = 72–95; NPV = 100%, 95% CI = 80–100). Hippocampal atrophy and ε4 status did not add further predictive value. Interpretation Subtle memory impairment with a positive β‐amyloid scan identifies healthy individuals at high risk for MCI or AD. Clearly amnestic patients with a positive amyloid scan have prodromal AD and a poor prognosis for dementia within 3 years. Ann Neurol 2013;74:905–913
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- 2014
35. Cost-effectiveness of changes in alcohol taxation in Denmark: a modelling study.
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Holm, AL, Veerman, L, Cobiac, L, Ekholm, O, Diderichsen, F, Holm, AL, Veerman, L, Cobiac, L, Ekholm, O, and Diderichsen, F
- Abstract
INTRODUCTION: Excessive alcohol consumption is a public health problem in many countries including Denmark, where 6% of the burden of disease is due to alcohol consumption, according to the new estimates from the Global Burden of Disease 2010 study. Pricing policies, including tax increases, have been shown to effectively decrease the level of alcohol consumption. METHODS: We analysed the cost-effectiveness of three different scenarios of changed taxation of alcoholic beverages in Denmark (20% and 100% increase and 10% decrease). The lifetime health effects are estimated as the difference in disability-adjusted life years between a Danish population that continues to drink alcohol at current rates and an identical population that changes their alcohol consumption due to changes in taxation. Calculation of cost offsets related to treatment of alcohol-related diseases and injuries, was based on health care system costs from Danish national registers. Cost-effectiveness was evaluated by calculating cost-effectiveness ratios (CERs) compared to current practice. RESULTS: The two scenarios of 20% and 100% increased taxation could avert 20,000 DALY and 95,500 DALY respectively, and yield cost savings of -€119 million and -€575 million, over the life time of the Danish population. Both scenarios are thus cost saving. The tax decrease scenario would lead to 10,100 added DALY and an added cost of €60 million. For all three interventions the health effects build up and reach their maximum around 15-20 years after implementation of the tax change. CONCLUSION: Our results show that decreased taxation will lead to an increased burden of disease and related increases in health care costs, whereas both a doubling of the current level of alcohol taxation and a scenario where taxation is only increased by 20% can be cost-saving ways to reduce alcohol related morbidity and mortality. Our results support the growing evidence that population strategies are cost-effective and should be c
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- 2014
36. Cost-effectiveness of preventive interventions to reduce alcohol consumption in Denmark.
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van Baal, PHM, Holm, AL, Veerman, L, Cobiac, L, Ekholm, O, Diderichsen, F, van Baal, PHM, Holm, AL, Veerman, L, Cobiac, L, Ekholm, O, and Diderichsen, F
- Abstract
INTRODUCTION: Excessive alcohol consumption increases the risk of many diseases and injuries, and the Global Burden of Disease 2010 study estimated that 6% of the burden of disease in Denmark is due to alcohol consumption. Alcohol consumption thus places a considerable economic burden on society. METHODS: We analysed the cost-effectiveness of six interventions aimed at preventing alcohol abuse in the adult Danish population: 30% increased taxation, increased minimum legal drinking age, advertisement bans, limited hours of retail sales, and brief and longer individual interventions. Potential health effects were evaluated as changes in incidence, prevalence and mortality of alcohol-related diseases and injuries. Net costs were calculated as the sum of intervention costs and cost offsets related to treatment of alcohol-related outcomes, based on health care costs from Danish national registers. Cost-effectiveness was evaluated by calculating incremental cost-effectiveness ratios (ICERs) for each intervention. We also created an intervention pathway to determine the optimal sequence of interventions and their combined effects. RESULTS: Three of the analysed interventions (advertising bans, limited hours of retail sales and taxation) were cost-saving, and the remaining three interventions were all cost-effective. Net costs varied from € -17 million per year for advertisement ban to € 8 million for longer individual intervention. Effectiveness varied from 115 disability-adjusted life years (DALY) per year for minimum legal drinking age to 2,900 DALY for advertisement ban. The total annual effect if all interventions were implemented would be 7,300 DALY, with a net cost of € -30 million. CONCLUSION: Our results show that interventions targeting the whole population were more effective than individual-focused interventions. A ban on alcohol advertising, limited hours of retail sale and increased taxation had the highest probability of being cost-saving and should thus be f
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- 2014
37. Cardiovascular disease, chronic kidney disease, and diabetes mortality burden of cardiometabolic risk factors from 1980 to 2010: A comparative risk assessment
- Author
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Danaei, G, Lu, Y, Singh, G, Carnahan, E, Stevens, G, Cowan, M, Farzadfar, F, Lin, J, Finucane, M, Rao, M, Khang, Y, Riley, L, Arian, D, Lim, S, Ezzati, M, Aamodt, G, Abdeen, Z, Abdella, N, Rahim, H, Addo, J, Aekplakorn, W, Afifi, M, Agabiti-Rosei, E, Salinas, C, Agyemang, C, Ali, M, Al-Nsour, M, Al-Nuaim, A, Ambady, R, Angelantonio, E, Aro, P, Azizi, F, Babu, B, Bahalim, A, Barbagallo, C, Barbieri, M, Barceló, A, Barreto, S, Barros, H, Bautista, L, Benetos, A, Bjerregaard, P, Björkelund, C, Bo, S, Bobak, M, Bonora, E, Botana, M, Bovet, P, Breckenkamp, J, Breteler, M, Broda, G, Brown, I, Bursztyn, M, de León, A, Campos, H, Cappuccio, F, Capuano, V, Casiglia, E, Castellano, M, Castetbon, K, Cea, L, Chang, C, Chaouki, N, Chatterji, S, Chen, C, Chen, Z, Choi, J, Chua, L, Cífková, R, Cobiac, L, Cooper, R, Corsi, A, Costanza, M, Craig, C, Dankner, R, Dastgiri, S, Delgado, E, Dinc, G, Doi, Y, Dong, G, Dorsi, E, Dragano, N, Drewnowski, A, Eggertsen, R, Elliott, P, Engeland, A, Erem, C, Esteghamati, A, Fall, C, Fan, J, Ferreccio, C, Fezeu, L, Firmo, J, Florez, H, Fornés, N, Fowkes, F, Franceschini, G, Frisk, F, Fuchs, F, Fuller, E, Getz, L, Giampaoli, S, Gómez, L, Gomez-Zumaquero, J, Iversen, S, Grant, J, Carvajal, R, Gulliford, M, Gupta, R, Gupta, P, Gureje, O, Gutierrez, H, Hansen, T, Hata, J, He, J, Heim, N, Heinrich, J, Hemmingsson, T, Hennis, A, Herman, W, Herrera, V, Ho, S, Holdsworth, M, Frisman, G, Hopman, W, Hussain, A, Husseini, A, Ibrahim, M, Ikeda, N, Jacobsen, B, Jaddou, H, Jafar, T, Janghorbani, M, Jasienska, G, Joffres, M, Jonas, J, Kadiki, O, Kalter-Leibovici, O, Kamadjeu, R, Kaptoge, S, Karalis, I, Kastarinen, M, Katz, J, Keinan-Boker, L, Kelly, P, Khalilzadeh, O, Kiechl, S, Kim, K, Kiyohara, Y, Kobayashi, J, Krause, M, Kubínová, R, Kurjata, P, Kusuma, Y, Lam, T, Langhammer, A, Lawes, C, Le, C, Lee, J, Lévy-Marchal, C, Lewington, S, Li, Y, Lim, T, Lin, X, Lin, C, Lin, H, Lind, L, Lissner, L, Liu, X, Lopez-Jaramillo, P, Lorbeer, R, Ma, G, Ma, S, Macià, F, Maclean, D, Maggi, S, Magliano, D, Makdisse, M, Mancia, G, Mannami, T, Marques-Vidal, P, Mbanya, J, McFarlane-Anderson, N, Miccoli, R, Miettola, J, Minh, H, Miquel, J, Miranda, J, Mohamed, M, Mohan, V, Mohanna, S, Mokdad, A, Mollentze, W, Morales, D, Morgan, K, Lorenza M Muiesan, N, Muntoni, S, Nabipour, I, Nakagami, T, Nangia, V, Nemesure, B, Neovius, M, Nerhus, K, Nervi, F, Neuhauser, H, Nguyen, M, Ninomiya, T, Noale, M, Oh, S, Ohkubo, T, Olivieri, O, Önal, A, Onat, A, Oróstegui, M, Ouedraogo, H, Pan, W, Panagiotakos, D, Panza, F, Park, Y, Passos, V, Pednekar, M, Pelizzari, P, Peres, M, Cynthia Pérez, N, Pérez-Fernández, R, Pichardo, R, Phua, H, Pistelli, F, Plans, P, Polakowska, M, Poulter, N, Prabhakaran, D, Qiao, Q, Rafiei, M, Raitakari, O, Ramos, L, Rampal, S, Rampal, L, Rasmussen, F, Reddy, K, Redon, J, Revilla, L, Reyes-García, V, Roaeid, R, Robinson, C, Rodriguez-Artalejo, F, Rojas-Martinez, R, Ronkainen, K, Rosero-Bixby, L, Roth, G, Sachdev, H, Sánchez, J, Sanisoglu, S, Sans, S, Sarraf-Zadegan, N, Scazufca, M, Schaan, B, Schapochnik, N, Schelleman, H, Schneider, I, Schooling, C, Schwarz, B, Sekuri, C, Sereday, M, Serra-Majem, L, Shaw, J, Shera, A, Shi, Z, Shiri, R, Shu, X, Silva, D, Silva, E, Simons, L, Smith, M, Söderberg, S, Soebardi, S, Solfrizzi, V, Sonestedt, E, Soysal, A, Stattin, P, Stein, A, Stergiou, G, Stessman, J, Sudo, A, Suka, M, Sundh, V, Sundquist, K, Sundström, J, Swai, A, Tai, E, Tambs, K, Tesfaye, F, Thomas, G, Thorogood, M, Tilvis, R, Tobias, M, Torheim, L, Trenkwalder, P, Tuomilehto, J, Tur, J, Tzourio, C, Uhernik, A, Ukoli, F, Unwin, N, Hoorn, S, Vanderpump, M, Varo, J, Veierød, M, Velásquez-Meléndez, G, Verschuren, M, Viet, L, Villalpando, S, Vioque, J, Vollenweider, P, Volpato, S, Wang, N, Wang, Y, Ward, M, Waspadji, S, Lennart X Welin, N, Whitlock, G, Wilhelmsen, L, Willeit, J, Woodward, M, Wormser, D, André J Xavier, N, Xu, F, Xu, L, Yamamoto, A, Yang, G, Yang, X, Yeh, L, Yoon, J, You, Q, Yu, Z, Zhang, J, Zhang, L, Zheng, W, Zhou, M, Danaei, Goodarz, Lu, Yuan, Singh, Gitanjali M, Carnahan, Emily, Stevens, Gretchen A, Cowan, Melanie J, Farzadfar, Farshad, Lin, John K, Finucane, Mariel M, Rao, Mayuree, Khang, Young-Ho, Riley, Leanne M, Arian, Dariush Mozaff, Lim, Stephen S, Ezzati, Majid, Aamodt, Geir, Abdeen, Ziad, Abdella, Nabila A, Rahim, Hanan F Abdul, Addo, Juliet, Aekplakorn, Wichai, Afifi, Mustafa M, Agabiti-Rosei, Enrico, Salinas, Carlos A Aguilar, Agyemang, Charles, Ali, Mohammed K, Ali, Mohamed M, Al-Nsour, Mohannad, Al-Nuaim, Abdul R, Ambady, Ramachandran, Angelantonio, Emanuele Di, Aro, Pertti, Azizi, Fereidoun, Babu, Bontha V, Bahalim, Adil N, Barbagallo, Carlo M, Barbieri, Marco A, Barceló, Alberto, Barreto, Sandhi M, Barros, Henrique, Bautista, Leonelo E, Benetos, Athanase, Bjerregaard, Peter, Björkelund, Cecilia, Bo, Simona, Bobak, Martin, Bonora, Enzo, Botana, Manuel A, Bovet, Pascal, Breckenkamp, Juergen, Breteler, Monique M, Broda, Grazyna, Brown, Ian J, Bursztyn, Michael, de León, Antonio Cabrera, Campos, Hannia, Cappuccio, Francesco P, Capuano, Vincenzo, Casiglia, Edoardo, Castellano, Maurizio, Castetbon, Katia, Cea, Luis, Chang, Chih-Jen, Chaouki, Noureddine, Chatterji, Somnath, Chen, Chien-Jen, Chen, Zhengming, Choi, Jin-Su, Chua, Lily, Cífková, Renata, Cobiac, Linda J, Cooper, Richard S, Corsi, Anna Maria, Costanza, Michael C, Craig, Cora L, Dankner, Rachel S, Dastgiri, Saeed, Delgado, Elias, Dinc, Gonul, Doi, Yasufumi, Dong, Guang-Hui, Dorsi, Eleonora, Dragano, Nico, Drewnowski, Adam, Eggertsen, Robert, Elliott, Paul, Engeland, Anders, Erem, Cihangir, Esteghamati, Alireza, Fall, Caroline H D, Fan, Jian-Gao, Ferreccio, Catterina, Fezeu, Leopold, Firmo, Josélia O, Florez, Hermes J, Fornés, Nélida S, Fowkes, F Gerry R, Franceschini, Guido, Frisk, Fredrik, Fuchs, Flávio D, Fuller, Eva L, Getz, Linn, Giampaoli, Simona, Gómez, Luis F, Gomez-Zumaquero, Juan M, Iversen, Sidsel Graff, Grant, Janet F, Carvajal, Ramiro Guerrero, Gulliford, Martin C, Gupta, Rajeev, Gupta, Prakash C, Gureje, Oye, Gutierrez, Hialy R, Hansen, Tine W, Hata, Jun, He, Jiang, Heim, Noor, Heinrich, Joachim, Hemmingsson, Tomas, Hennis, Anselm, Herman, William H, Herrera, Victor M, Ho, Suzanne, Holdsworth, Michelle, Frisman, Gunilla Hollman, Hopman, Wilma M, Hussain, Akhtar, Husseini, Abdullatif, Ibrahim, M Mohsen, Ikeda, Nayu, Jacobsen, Bjarne K, Jaddou, Hashem Y, Jafar, Tazeen H, Janghorbani, Mohsen, Jasienska, Grazyna, Joffres, Michel R, Jonas, Jost B, Kadiki, Othman A, Kalter-Leibovici, Ofra, Kamadjeu, Raoul M, Kaptoge, Stephen, Karalis, Ioannis, Kastarinen, Mika J, Katz, Joanne, Keinan-Boker, Lital, Kelly, Paul, Khalilzadeh, Omid, Kiechl, Stefan, Kim, Ki Woong, Kiyohara, Yutaka, Kobayashi, Junji, Krause, Maressa P, Kubínová, Ružena, Kurjata, Pawel, Kusuma, Yadlapalli S, Lam, Tai H, Langhammer, Arnulf, Lawes, Carlene M M, Le, Cai, Lee, Jeannette, Lévy-Marchal, Claire, Lewington, Sarah, Li, Yanping, Li, Yuqiu, Lim, T O, Lin, Xu, Lin, Cheng-Chieh, Lin, Hsien-Ho, Lind, Lars, Lissner, Lauren, Liu, Xiaoqing, Lopez-Jaramillo, Patricio, Lorbeer, Roberto, Ma, Guansheng, Ma, Stefan, Macià, Francesc, Maclean, David R, Maggi, Stefania, Magliano, Dianna J, Makdisse, Marcia, Mancia, Giuseppe, Mannami, Toshifumi, Marques-Vidal, Pedro, Mbanya, Jean Claude N, McFarlane-Anderson, Norma, Miccoli, Roberto, Miettola, Juhani, Minh, Hoang V, Miquel, Juan F, Miranda, J Jaime, Mohamed, Mostafa K, Mohan, V., Mohanna, Salim, Mokdad, Ali, Mollentze, Willem F, Morales, Dante D, Morgan, Karen, Lorenza M Muiesan, null, Muntoni, Sergio, Nabipour, Iraj, Nakagami, Tomoko, Nangia, Vinay, Nemesure, Barbara, Neovius, Martin, Nerhus, Kjersti A, Nervi, Flavio, Neuhauser, Hannelore, Nguyen, Minh, Ninomiya, Toshiharu, Noale, Marianna, Oh, Sang W, Ohkubo, Takayoshi, Olivieri, Oliviero, önal, Ayse Emel, Onat, Altan, Oróstegui, Myriam, Ouedraogo, Hermann, Pan, Wen-Harn, Panagiotakos, Demosthenes B, Panza, Francesco, Park, Yongsoo, Passos, Valeria M A, Pednekar, Mangesh S, Pelizzari, Pamela M, Peres, Marco A, Cynthia Pérez, null, Pérez-Fernández, Román, Pichardo, Rafael, Phua, Hwee Pin, Pistelli, Francesco, Plans, Pedro, Polakowska, Maria, Poulter, Neil, Prabhakaran, Dorairaj, Qiao, Qing, Rafiei, Masoud, Raitakari, Olli T, Ramos, Luiz R, Rampal, Sanjay, Rampal, Lekhraj, Rasmussen, Finn, Reddy, Kanala K R, Redon, Josep, Revilla, Luis, Reyes-García, Victoria, Roaeid, Ragab B, Robinson, Carolyn A, Rodriguez-Artalejo, Fernando, Rojas-Martinez, Rosalba, Ronkainen, Kimmo, Rosero-Bixby, Luis, Roth, Gregory A, Sachdev, Harshpal S, Sánchez, José R, Sanisoglu, Selim Y, Sans, Susana, Sarraf-Zadegan, Nizal, Scazufca, Marcia, Schaan, Beatriz D, Schapochnik, Norberto, Schelleman, Hedi, Schneider, Ione J C, Schooling, C Mary, Schwarz, Bernhard, Sekuri, Cevad, Sereday, Martha S, Serra-Majem, Lluís, Shaw, Jonathan, Shera, Abdul S, Shi, Zumin, Shiri, Rahman, Shu, Xiao Ou, Silva, Diego Augusto Santos, Silva, Eglé, Simons, Leon A, Smith, Margaret, Söderberg, Stefan, Soebardi, Suharko, Solfrizzi, Vincenzo, Sonestedt, Emily, Soysal, Ahmet, Stattin, Pär, Stein, Aryeh D, Stergiou, George S, Stessman, Jochanan, Sudo, Akihiro, Suka, Machi, Sundh, Valter, Sundquist, Kristina, Sundström, Johan, Swai, Andrew B, Tai, E Shyong, Tambs, Kristian, Tesfaye, Fikru, Thomas, George N, Thorogood, Margaret, Tilvis, Reijo S, Tobias, Martin, Torheim, Liv E, Trenkwalder, Peter, Tuomilehto, Jaakko O, Tur, Josep A, Tzourio, Christophe, Uhernik, Ana I, Ukoli, Flora A, Unwin, Nigel, Hoorn, Stephen Vander, Vanderpump, Mark P, Varo, Jose Javier, Veierød, Marit B, Velásquez-Meléndez, Gustavo, Verschuren, Monique, Viet, Lucie, Villalpando, Salvador, Vioque, Jesus, Vollenweider, Peter, Volpato, Stefano, Wang, Ningli, Wang, Ya X, Ward, Mark, Waspadji, Sarwono, Lennart X Welin, null, Whitlock, Gary, Wilhelmsen, Lars, Willeit, Johann, Woodward, Mark, Wormser, David, André J Xavier, null, Xu, Fei, Xu, Liang, Yamamoto, Akira, Yang, Gonghuan, Yang, Xiaoguang, Yeh, Li-Chia, Yoon, Jin-Sang, You, Qisheng, Yu, Zhijie, Zhang, Jian, Zhang, Lei, Zheng, Wei, Zhou, Maigeng, Danaei, G, Lu, Y, Singh, G, Carnahan, E, Stevens, G, Cowan, M, Farzadfar, F, Lin, J, Finucane, M, Rao, M, Khang, Y, Riley, L, Arian, D, Lim, S, Ezzati, M, Aamodt, G, Abdeen, Z, Abdella, N, Rahim, H, Addo, J, Aekplakorn, W, Afifi, M, Agabiti-Rosei, E, Salinas, C, Agyemang, C, Ali, M, Al-Nsour, M, Al-Nuaim, A, Ambady, R, Angelantonio, E, Aro, P, Azizi, F, Babu, B, Bahalim, A, Barbagallo, C, Barbieri, M, Barceló, A, Barreto, S, Barros, H, Bautista, L, Benetos, A, Bjerregaard, P, Björkelund, C, Bo, S, Bobak, M, Bonora, E, Botana, M, Bovet, P, Breckenkamp, J, Breteler, M, Broda, G, Brown, I, Bursztyn, M, de León, A, Campos, H, Cappuccio, F, Capuano, V, Casiglia, E, Castellano, M, Castetbon, K, Cea, L, Chang, C, Chaouki, N, Chatterji, S, Chen, C, Chen, Z, Choi, J, Chua, L, Cífková, R, Cobiac, L, Cooper, R, Corsi, A, Costanza, M, Craig, C, Dankner, R, Dastgiri, S, Delgado, E, Dinc, G, Doi, Y, Dong, G, Dorsi, E, Dragano, N, Drewnowski, A, Eggertsen, R, Elliott, P, Engeland, A, Erem, C, Esteghamati, A, Fall, C, Fan, J, Ferreccio, C, Fezeu, L, Firmo, J, Florez, H, Fornés, N, Fowkes, F, Franceschini, G, Frisk, F, Fuchs, F, Fuller, E, Getz, L, Giampaoli, S, Gómez, L, Gomez-Zumaquero, J, Iversen, S, Grant, J, Carvajal, R, Gulliford, M, Gupta, R, Gupta, P, Gureje, O, Gutierrez, H, Hansen, T, Hata, J, He, J, Heim, N, Heinrich, J, Hemmingsson, T, Hennis, A, Herman, W, Herrera, V, Ho, S, Holdsworth, M, Frisman, G, Hopman, W, Hussain, A, Husseini, A, Ibrahim, M, Ikeda, N, Jacobsen, B, Jaddou, H, Jafar, T, Janghorbani, M, Jasienska, G, Joffres, M, Jonas, J, Kadiki, O, Kalter-Leibovici, O, Kamadjeu, R, Kaptoge, S, Karalis, I, Kastarinen, M, Katz, J, Keinan-Boker, L, Kelly, P, Khalilzadeh, O, Kiechl, S, Kim, K, Kiyohara, Y, Kobayashi, J, Krause, M, Kubínová, R, Kurjata, P, Kusuma, Y, Lam, T, Langhammer, A, Lawes, C, Le, C, Lee, J, Lévy-Marchal, C, Lewington, S, Li, Y, Lim, T, Lin, X, Lin, C, Lin, H, Lind, L, Lissner, L, Liu, X, Lopez-Jaramillo, P, Lorbeer, R, Ma, G, Ma, S, Macià, F, Maclean, D, Maggi, S, Magliano, D, Makdisse, M, Mancia, G, Mannami, T, Marques-Vidal, P, Mbanya, J, McFarlane-Anderson, N, Miccoli, R, Miettola, J, Minh, H, Miquel, J, Miranda, J, Mohamed, M, Mohan, V, Mohanna, S, Mokdad, A, Mollentze, W, Morales, D, Morgan, K, Lorenza M Muiesan, N, Muntoni, S, Nabipour, I, Nakagami, T, Nangia, V, Nemesure, B, Neovius, M, Nerhus, K, Nervi, F, Neuhauser, H, Nguyen, M, Ninomiya, T, Noale, M, Oh, S, Ohkubo, T, Olivieri, O, Önal, A, Onat, A, Oróstegui, M, Ouedraogo, H, Pan, W, Panagiotakos, D, Panza, F, Park, Y, Passos, V, Pednekar, M, Pelizzari, P, Peres, M, Cynthia Pérez, N, Pérez-Fernández, R, Pichardo, R, Phua, H, Pistelli, F, Plans, P, Polakowska, M, Poulter, N, Prabhakaran, D, Qiao, Q, Rafiei, M, Raitakari, O, Ramos, L, Rampal, S, Rampal, L, Rasmussen, F, Reddy, K, Redon, J, Revilla, L, Reyes-García, V, Roaeid, R, Robinson, C, Rodriguez-Artalejo, F, Rojas-Martinez, R, Ronkainen, K, Rosero-Bixby, L, Roth, G, Sachdev, H, Sánchez, J, Sanisoglu, S, Sans, S, Sarraf-Zadegan, N, Scazufca, M, Schaan, B, Schapochnik, N, Schelleman, H, Schneider, I, Schooling, C, Schwarz, B, Sekuri, C, Sereday, M, Serra-Majem, L, Shaw, J, Shera, A, Shi, Z, Shiri, R, Shu, X, Silva, D, Silva, E, Simons, L, Smith, M, Söderberg, S, Soebardi, S, Solfrizzi, V, Sonestedt, E, Soysal, A, Stattin, P, Stein, A, Stergiou, G, Stessman, J, Sudo, A, Suka, M, Sundh, V, Sundquist, K, Sundström, J, Swai, A, Tai, E, Tambs, K, Tesfaye, F, Thomas, G, Thorogood, M, Tilvis, R, Tobias, M, Torheim, L, Trenkwalder, P, Tuomilehto, J, Tur, J, Tzourio, C, Uhernik, A, Ukoli, F, Unwin, N, Hoorn, S, Vanderpump, M, Varo, J, Veierød, M, Velásquez-Meléndez, G, Verschuren, M, Viet, L, Villalpando, S, Vioque, J, Vollenweider, P, Volpato, S, Wang, N, Wang, Y, Ward, M, Waspadji, S, Lennart X Welin, N, Whitlock, G, Wilhelmsen, L, Willeit, J, Woodward, M, Wormser, D, André J Xavier, N, Xu, F, Xu, L, Yamamoto, A, Yang, G, Yang, X, Yeh, L, Yoon, J, You, Q, Yu, Z, Zhang, J, Zhang, L, Zheng, W, Zhou, M, Danaei, Goodarz, Lu, Yuan, Singh, Gitanjali M, Carnahan, Emily, Stevens, Gretchen A, Cowan, Melanie J, Farzadfar, Farshad, Lin, John K, Finucane, Mariel M, Rao, Mayuree, Khang, Young-Ho, Riley, Leanne M, Arian, Dariush Mozaff, Lim, Stephen S, Ezzati, Majid, Aamodt, Geir, Abdeen, Ziad, Abdella, Nabila A, Rahim, Hanan F Abdul, Addo, Juliet, Aekplakorn, Wichai, Afifi, Mustafa M, Agabiti-Rosei, Enrico, Salinas, Carlos A Aguilar, Agyemang, Charles, Ali, Mohammed K, Ali, Mohamed M, Al-Nsour, Mohannad, Al-Nuaim, Abdul R, Ambady, Ramachandran, Angelantonio, Emanuele Di, Aro, Pertti, Azizi, Fereidoun, Babu, Bontha V, Bahalim, Adil N, Barbagallo, Carlo M, Barbieri, Marco A, Barceló, Alberto, Barreto, Sandhi M, Barros, Henrique, Bautista, Leonelo E, Benetos, Athanase, Bjerregaard, Peter, Björkelund, Cecilia, Bo, Simona, Bobak, Martin, Bonora, Enzo, Botana, Manuel A, Bovet, Pascal, Breckenkamp, Juergen, Breteler, Monique M, Broda, Grazyna, Brown, Ian J, Bursztyn, Michael, de León, Antonio Cabrera, Campos, Hannia, Cappuccio, Francesco P, Capuano, Vincenzo, Casiglia, Edoardo, Castellano, Maurizio, Castetbon, Katia, Cea, Luis, Chang, Chih-Jen, Chaouki, Noureddine, Chatterji, Somnath, Chen, Chien-Jen, Chen, Zhengming, Choi, Jin-Su, Chua, Lily, Cífková, Renata, Cobiac, Linda J, Cooper, Richard S, Corsi, Anna Maria, Costanza, Michael C, Craig, Cora L, Dankner, Rachel S, Dastgiri, Saeed, Delgado, Elias, Dinc, Gonul, Doi, Yasufumi, Dong, Guang-Hui, Dorsi, Eleonora, Dragano, Nico, Drewnowski, Adam, Eggertsen, Robert, Elliott, Paul, Engeland, Anders, Erem, Cihangir, Esteghamati, Alireza, Fall, Caroline H D, Fan, Jian-Gao, Ferreccio, Catterina, Fezeu, Leopold, Firmo, Josélia O, Florez, Hermes J, Fornés, Nélida S, Fowkes, F Gerry R, Franceschini, Guido, Frisk, Fredrik, Fuchs, Flávio D, Fuller, Eva L, Getz, Linn, Giampaoli, Simona, Gómez, Luis F, Gomez-Zumaquero, Juan M, Iversen, Sidsel Graff, Grant, Janet F, Carvajal, Ramiro Guerrero, Gulliford, Martin C, Gupta, Rajeev, Gupta, Prakash C, Gureje, Oye, Gutierrez, Hialy R, Hansen, Tine W, Hata, Jun, He, Jiang, Heim, Noor, Heinrich, Joachim, Hemmingsson, Tomas, Hennis, Anselm, Herman, William H, Herrera, Victor M, Ho, Suzanne, Holdsworth, Michelle, Frisman, Gunilla Hollman, Hopman, Wilma M, Hussain, Akhtar, Husseini, Abdullatif, Ibrahim, M Mohsen, Ikeda, Nayu, Jacobsen, Bjarne K, Jaddou, Hashem Y, Jafar, Tazeen H, Janghorbani, Mohsen, Jasienska, Grazyna, Joffres, Michel R, Jonas, Jost B, Kadiki, Othman A, Kalter-Leibovici, Ofra, Kamadjeu, Raoul M, Kaptoge, Stephen, Karalis, Ioannis, Kastarinen, Mika J, Katz, Joanne, Keinan-Boker, Lital, Kelly, Paul, Khalilzadeh, Omid, Kiechl, Stefan, Kim, Ki Woong, Kiyohara, Yutaka, Kobayashi, Junji, Krause, Maressa P, Kubínová, Ružena, Kurjata, Pawel, Kusuma, Yadlapalli S, Lam, Tai H, Langhammer, Arnulf, Lawes, Carlene M M, Le, Cai, Lee, Jeannette, Lévy-Marchal, Claire, Lewington, Sarah, Li, Yanping, Li, Yuqiu, Lim, T O, Lin, Xu, Lin, Cheng-Chieh, Lin, Hsien-Ho, Lind, Lars, Lissner, Lauren, Liu, Xiaoqing, Lopez-Jaramillo, Patricio, Lorbeer, Roberto, Ma, Guansheng, Ma, Stefan, Macià, Francesc, Maclean, David R, Maggi, Stefania, Magliano, Dianna J, Makdisse, Marcia, Mancia, Giuseppe, Mannami, Toshifumi, Marques-Vidal, Pedro, Mbanya, Jean Claude N, McFarlane-Anderson, Norma, Miccoli, Roberto, Miettola, Juhani, Minh, Hoang V, Miquel, Juan F, Miranda, J Jaime, Mohamed, Mostafa K, Mohan, V., Mohanna, Salim, Mokdad, Ali, Mollentze, Willem F, Morales, Dante D, Morgan, Karen, Lorenza M Muiesan, null, Muntoni, Sergio, Nabipour, Iraj, Nakagami, Tomoko, Nangia, Vinay, Nemesure, Barbara, Neovius, Martin, Nerhus, Kjersti A, Nervi, Flavio, Neuhauser, Hannelore, Nguyen, Minh, Ninomiya, Toshiharu, Noale, Marianna, Oh, Sang W, Ohkubo, Takayoshi, Olivieri, Oliviero, önal, Ayse Emel, Onat, Altan, Oróstegui, Myriam, Ouedraogo, Hermann, Pan, Wen-Harn, Panagiotakos, Demosthenes B, Panza, Francesco, Park, Yongsoo, Passos, Valeria M A, Pednekar, Mangesh S, Pelizzari, Pamela M, Peres, Marco A, Cynthia Pérez, null, Pérez-Fernández, Román, Pichardo, Rafael, Phua, Hwee Pin, Pistelli, Francesco, Plans, Pedro, Polakowska, Maria, Poulter, Neil, Prabhakaran, Dorairaj, Qiao, Qing, Rafiei, Masoud, Raitakari, Olli T, Ramos, Luiz R, Rampal, Sanjay, Rampal, Lekhraj, Rasmussen, Finn, Reddy, Kanala K R, Redon, Josep, Revilla, Luis, Reyes-García, Victoria, Roaeid, Ragab B, Robinson, Carolyn A, Rodriguez-Artalejo, Fernando, Rojas-Martinez, Rosalba, Ronkainen, Kimmo, Rosero-Bixby, Luis, Roth, Gregory A, Sachdev, Harshpal S, Sánchez, José R, Sanisoglu, Selim Y, Sans, Susana, Sarraf-Zadegan, Nizal, Scazufca, Marcia, Schaan, Beatriz D, Schapochnik, Norberto, Schelleman, Hedi, Schneider, Ione J C, Schooling, C Mary, Schwarz, Bernhard, Sekuri, Cevad, Sereday, Martha S, Serra-Majem, Lluís, Shaw, Jonathan, Shera, Abdul S, Shi, Zumin, Shiri, Rahman, Shu, Xiao Ou, Silva, Diego Augusto Santos, Silva, Eglé, Simons, Leon A, Smith, Margaret, Söderberg, Stefan, Soebardi, Suharko, Solfrizzi, Vincenzo, Sonestedt, Emily, Soysal, Ahmet, Stattin, Pär, Stein, Aryeh D, Stergiou, George S, Stessman, Jochanan, Sudo, Akihiro, Suka, Machi, Sundh, Valter, Sundquist, Kristina, Sundström, Johan, Swai, Andrew B, Tai, E Shyong, Tambs, Kristian, Tesfaye, Fikru, Thomas, George N, Thorogood, Margaret, Tilvis, Reijo S, Tobias, Martin, Torheim, Liv E, Trenkwalder, Peter, Tuomilehto, Jaakko O, Tur, Josep A, Tzourio, Christophe, Uhernik, Ana I, Ukoli, Flora A, Unwin, Nigel, Hoorn, Stephen Vander, Vanderpump, Mark P, Varo, Jose Javier, Veierød, Marit B, Velásquez-Meléndez, Gustavo, Verschuren, Monique, Viet, Lucie, Villalpando, Salvador, Vioque, Jesus, Vollenweider, Peter, Volpato, Stefano, Wang, Ningli, Wang, Ya X, Ward, Mark, Waspadji, Sarwono, Lennart X Welin, null, Whitlock, Gary, Wilhelmsen, Lars, Willeit, Johann, Woodward, Mark, Wormser, David, André J Xavier, null, Xu, Fei, Xu, Liang, Yamamoto, Akira, Yang, Gonghuan, Yang, Xiaoguang, Yeh, Li-Chia, Yoon, Jin-Sang, You, Qisheng, Yu, Zhijie, Zhang, Jian, Zhang, Lei, Zheng, Wei, and Zhou, Maigeng
- Abstract
Background: High blood pressure, blood glucose, serum cholesterol, and BMI are risk factors for cardiovascular diseases and some of these factors also increase the risk of chronic kidney disease and diabetes. We estimated mortality from cardiovascular diseases, chronic kidney disease, and diabetes that was attributable to these four cardiometabolic risk factors for all countries and regions from 1980 to 2010. Methods: We used data for exposure to risk factors by country, age group, and sex from pooled analyses of population-based health surveys. We obtained relative risks for the effects of risk factors on cause-specific mortality from meta-analyses of large prospective studies. We calculated the population attributable fractions for each risk factor alone, and for the combination of all risk factors, accounting for multicausality and for mediation of the effects of BMI by the other three risks. We calculated attributable deaths by multiplying the cause-specific population attributable fractions by the number of disease-specific deaths. We obtained cause-specific mortality from the Global Burden of Diseases, Injuries, and Risk Factors 2010 Study. We propagated the uncertainties of all the inputs to the final estimates. Findings: In 2010, high blood pressure was the leading risk factor for deaths due to cardiovascular diseases, chronic kidney disease, and diabetes in every region, causing more than 40% of worldwide deaths from these diseases; high BMI and glucose were each responsible for about 15% of deaths, and high cholesterol for more than 10%. After accounting for multicausality, 63% (10·8 million deaths, 95% CI 10·1-11·5) of deaths from these diseases in 2010 were attributable to the combined effect of these four metabolic risk factors, compared with 67% (7·1 million deaths, 6·6-7·6) in 1980. The mortality burden of high BMI and glucose nearly doubled from 1980 to 2010. At the country level, age-standardised death rates from these diseases attributable to the c
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- 2014
38. Modelling the implications of regular increases in tobacco taxation in the tobacco endgame
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Cobiac, L. J., primary, Ikeda, T., additional, Nghiem, N., additional, Blakely, T., additional, and Wilson, N., additional
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- 2014
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39. Appendicular skeletal muscle in hospitalised hip-fracture patients: development and cross-validation of anthropometric prediction equations against dual-energy X-ray absorptiometry
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Villani, A. M., primary, Crotty, M., additional, Cameron, I. D., additional, Kurrle, S. E., additional, Skuza, P. P., additional, Cleland, L. G., additional, Cobiac, L., additional, and Miller, M. D., additional
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- 2014
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40. Theoretical impacts of a range of major tobacco retail outlet reduction interventions: modelling results in a country with a smoke-free nation goal
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Pearson, A. L., primary, van der Deen, F. S., additional, Wilson, N., additional, Cobiac, L., additional, and Blakely, T., additional
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- 2014
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41. Study design of ASPirin in Reducing Events in the Elderly (ASPREE): A randomized, controlled trial
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Grimm, R., McNeil, J., Applegate, W., Beilin, L., Espinoza, S., Johnston, C., Kirpach, B., Margolis, K., Murray, A., Nelson, M., Reid, Christopher, Shah, R., Storey, E., Tonkin, A., Wilson, P., Wolfe, R., Woods, R., Abhayaratna, W., Ames, D., Cobiac, L., Donnan, G., Gibbs, P., Head, R., Krum, H., Jelnik, M., Malik, M., Williamson, J., Eaton, C., Weissfeld, J., MacRae, F., Rodriguez, L., Newman, A., Demons, J., Workman, B., Wood, E., Satterfield, S., Ernst, M., Gilbertson, D., Lockery, J., Hannah, J., Radziszewska, B., Thomas, A., Gill, G., Jackson, C., Kidd, M., Russell, G., Pressman, G., Figueredo, V., Oberoi, M., Ahmad, M., Krstevska, S., Lawson, C., Katzman, S., Powell, J., Lang, M., Bolin, P., Atlanta, V., Le, A., Johnson, T., Kruger, D., Obisesan, T., Allard, J., Dodd, K., Ott, B., Pemu, P., Hadley, E., Romashkan, S., Palaniappan, L., Jose, P., Church, T., Myers, V., Monce, R., Britt, N., Gupta, A., Keller, J., Lewis, B., Shikany, J., Allman, R., Anton, S., Pahor, M., Burns, J., Swerdlow, R., Anderson, H., Wiggins, J., Nyquist, L., Peterson, K., Tindle, H., Johnson, K., Womack, C., Birnbaum, L., Nesbitt, S., Grimm, R., McNeil, J., Applegate, W., Beilin, L., Espinoza, S., Johnston, C., Kirpach, B., Margolis, K., Murray, A., Nelson, M., Reid, Christopher, Shah, R., Storey, E., Tonkin, A., Wilson, P., Wolfe, R., Woods, R., Abhayaratna, W., Ames, D., Cobiac, L., Donnan, G., Gibbs, P., Head, R., Krum, H., Jelnik, M., Malik, M., Williamson, J., Eaton, C., Weissfeld, J., MacRae, F., Rodriguez, L., Newman, A., Demons, J., Workman, B., Wood, E., Satterfield, S., Ernst, M., Gilbertson, D., Lockery, J., Hannah, J., Radziszewska, B., Thomas, A., Gill, G., Jackson, C., Kidd, M., Russell, G., Pressman, G., Figueredo, V., Oberoi, M., Ahmad, M., Krstevska, S., Lawson, C., Katzman, S., Powell, J., Lang, M., Bolin, P., Atlanta, V., Le, A., Johnson, T., Kruger, D., Obisesan, T., Allard, J., Dodd, K., Ott, B., Pemu, P., Hadley, E., Romashkan, S., Palaniappan, L., Jose, P., Church, T., Myers, V., Monce, R., Britt, N., Gupta, A., Keller, J., Lewis, B., Shikany, J., Allman, R., Anton, S., Pahor, M., Burns, J., Swerdlow, R., Anderson, H., Wiggins, J., Nyquist, L., Peterson, K., Tindle, H., Johnson, K., Womack, C., Birnbaum, L., and Nesbitt, S.
- Abstract
Cost-effective strategies to maintain healthy active lifestyle in aging populations are required to address the global burden of age-related diseases. ASPREE will examine whether the potential primary prevention benefits of low dose aspirin outweigh the risks in older healthy individuals. Our primary hypothesis is that daily oral 100. mg enteric-coated aspirin will extend a composite primary endpoint termed 'disability-free life' including onset of dementia, total mortality, or persistent disability in at least one of the Katz Activities of Daily Living in 19,000 healthy participants aged 65. years and above ('US minorities') and 70. years and above (non-'US minorities'). ASPREE is a double-blind, randomized, placebo-controlled trial of oral 100. mg enteric-coated acetyl salicylic acid (ASA) or matching placebo being conducted in Australian and US community settings on individuals free of dementia, disability and cardiovascular disease (CVD) events. Secondary endpoints are all-cause and cause specific mortality, fatal and non-fatal cardiovascular events, fatal and non-fatal cancer (excluding non-melanoma skin cancer), dementia, mild cognitive impairment, depression, physical disability, and clinically significant bleeding. To 20 September 2013 14,383 participants have been recruited. Recruitment and study completion are anticipated in July 2014 and December 2018 respectively. In contrast to other aspirin trials that have largely focused on cardiovascular endpoints, ASPREE has a unique composite primary endpoint to better capture the overall risk and benefit of aspirin to extend healthy independent lifespan in older adults in the US and Australia. © 2013 Elsevier Inc.
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- 2013
42. The Relationship Between Breastfeeding and Weight Status in a National Sample of Australian Children and Adolescents
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Scott, Jane, Ng, S., Cobiac, L., Scott, Jane, Ng, S., and Cobiac, L.
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Background: Breastfeeding has been shown consistently in observational studies to be protective of overweight and obesity in later life. This study aimed to investigate the association between breastfeeding duration and weight status in a national sample of Australian children and adolescents.Methods: A secondary analysis of the 2007 Australian National Children’s Nutrition and Physical Activity Survey data involving 2066, males and females aged 9 to 16 years from all Australian states and territories. The effect of breastfeeding duration on weight status was estimated using multivariate logistic regression analysis.Results: Compared to those who were never breastfed, children breastfed for =6 months were significantly less likely to be overweight (adjusted odds ratio: 0.64, 95%CI: 0.45, 0.91) or obese (adjusted odds ratio: 0.51, 95%CI: 0.29, 0.90) in later childhood, after adjustment for maternal characteristics (age, education and ethnicity) and children’s age, gender, mean energy intake, level of moderate and vigorous physical activity, screen time and sleep duration.Conclusions: Breastfeeding for 6 or more months appears to be protective against later overweight and obesity in this population of Australian children. The beneficial short-term health outcomes of breastfeeding for the infant are well recognised and this study provides further observational evidence of a potential long-term health outcome and additional justification for the continued support and promotion of breastfeeding to six months and beyond.
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- 2012
43. Cluster Analysis and Food Group Consumption in a National Sample of Australian Girls
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Grieger, J., Scott, Jane, Cobiac, L., Grieger, J., Scott, Jane, and Cobiac, L.
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- 2012
44. Television viewing time and reduced life expectancy: A life table analysis
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Veerman, J., Healy, Genevieve, Cobiac, L., Vos, T., Winkler, E., Owen, N., Dunstan, D., Veerman, J., Healy, Genevieve, Cobiac, L., Vos, T., Winkler, E., Owen, N., and Dunstan, D.
- Abstract
Background Prolonged television (TV) viewing time is unfavourably associated with mortality outcomes, particularly for cardiovascular disease, but the impact on life expectancy has not been quantifi ed. The authors estimate the extent to which TV viewing time reduces life expectancy in Australia, 2008. Methods The authors constructed a life table model that incorporates a previously reported mortality risk associated with TV time. Data were from the Australian Bureau of Statistics and the Australian Diabetes, Obesity and Lifestyle Study, a national population-based observational survey that started in 1999-2000. The authors modelled impacts of changes in population average TV viewing time on life expectancy at birth. Results The amount of TV viewed in Australia in 2008 reduced life expectancy at birth by 1.8 years (95% uncertainty interval (UI): 8.4 days to 3.7 years) for men and 1.5 years (95% UI: 6.8 days to 3.1 years) for women. Compared with persons who watch no TV, those who spend a lifetime average of 6 h/day watching TV can expect to live 4.8 years (95% UI: 11 days to 10.4 years) less. On average, every single hour of TV viewed after the age of 25 reduces the viewer's life expectancy by 21.8 (95% UI: 0.3-44.7) min. This study is limited by the low precision with which the relationship between TV viewing time and mortality is currently known. Conclusions TV viewing time may be associated with a loss of life that is comparable to other major chronic disease risk factors such as physical inactivity and obesity.
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- 2012
45. Dietary Patterns and Breast-Feeding in Australian Children
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Grieger, J., Scott, Jane, Cobiac, L., Grieger, J., Scott, Jane, and Cobiac, L.
- Abstract
Objective: To determine the dietary patterns of a national sample of 2–8-year-old Australian children and to establish whether breast-feeding is associated with dietary patterns in this age group.Design: Cross-sectional study using 24 h recall data from the 2007 Australian National Children’s Nutrition and Physical Activity Survey.Setting: Australia.Subjects: A total of 2287 children aged 2–8 years.Results: Principal component factor analysis identified three distinct patterns. The ‘Non-core food groups’ pattern included food groups such as whole-fat dairy products, cheese, medium–high sugar-sweetened breakfast cereals and sweet biscuits, no fruit, reduced/low-fat dairy products and wholegrain bread/rolls. The ‘Healthy, meat and vegetable’ pattern included vegetables, red meat, fruit and wholegrain bread/rolls and was inversely associated with take-away foods and carbonated sugar-sweetened beverages. The ‘Combination’ pattern contained many food groups including candy (not chocolate based), pasta/rice products, nuts/seeds, cakes and chocolate, but no fruit or vegetables. Of the 2287 children, 2064 (89.3%) had been breast-fed. A positive association was found betweenbreast-feeding and the healthy, meat and vegetable pattern (r=0.267) but not with the other two patterns. Higher scores on this pattern were also associated with younger age, lower BMI, higher birth weight, high likelihood of being in the less-disadvantaged Socio-economic Indexes for Areas category and less likelihood of the child’s parents having a lower educational level.Conclusions: These results provide suggestive evidence that breast-feeding during infancy is associated with a healthy dietary pattern in childhood and offers a likely pathway to explain the previously reported association between breast-feeding and chronic disease.
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- 2011
46. Does garlic reduce risk of colorectal cancer? A systematic review
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Ngo, SNT, Williams, DB, Cobiac, L, Head, RJ, Ngo, SNT, Williams, DB, Cobiac, L, and Head, RJ
- Abstract
Colorectal cancer (CRC) is the 3rd leading cause of cancer death in the United States and the 2nd leading cause of cancer death in Australia. Environmental factors play important roles in the multiple-stage process of CRC and nutritional intervention has been identified as playing a major role in its prevention. The aim of this study was to review systematically the scientific evidence from all studies conducted over the last decade that examined effects of garlic on CRC. Levels of evidence were ranked from level I to level V according to study designs and the quality of each study was assessed against a set of quality criteria based on those used by the National Health and Medical Research Council in Australia. One randomized controlled trial (RCT, level II) reported a statistically significant 29% reduction in both size and number of colon adenomas in CRC patients taking aged garlic extract. Five of 8 case control/cohort studies (level III) suggested a protective effect of high intake of raw/cooked garlic and 2 of 8 of these studies suggested a protective effect for distal colon. A published meta-analysis (level III) of 7 of these studies confirmed this inverse association, with a 30% reduction in relative risk. Eleven animal studies (level V) demonstrated a significant anticarcinogenic effect of garlic and/or its active constituents. On balance, there is consistent scientific evidence derived from RCT of animal studies reporting protective effects of garlic on CRC despite great heterogeneity of measures of intakes among human epidemiological studies.
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- 2007
47. Butyrate delivered by butyrylated starch increases distal colonic epithelial apoptosis in carcinogen-treated rats
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Clarke, J. M., primary, Young, G. P., additional, Topping, D. L., additional, Bird, A. R., additional, Cobiac, L., additional, Scherer, B. L., additional, Winkler, J. G., additional, and Lockett, T. J., additional
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- 2011
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48. Mapping the program logic for the South Australia Obesity Prevention and Lifestyle (OPAL) initiative
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Jones, M., primary, Cargo, M., additional, Cobiac, L., additional, and Daniel, M., additional
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- 2011
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49. Cluster analysis and food group consumption in a national sample of Australian girls
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Grieger, J. A., primary, Scott, J., additional, and Cobiac, L., additional
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- 2011
- Full Text
- View/download PDF
50. Pharmacological interventions for geriatric cachexia: A narrative review of the literature
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Yaxley, A., primary, Miller, Michelle D., additional, Fraser, R. J., additional, and Cobiac, L., additional
- Published
- 2011
- Full Text
- View/download PDF
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