66 research outputs found
Beer, wine and distilled spirits in Ontario: A comparison of recent policies, regulations and practices
AIMS: There is a long-standing discussion about whether some beverages are more likely to be linked with high-risk drinking and damage than others, and implications for beverage specific alcohol policies. While the evidence is inconclusive, when controlling for individual consumption, some studies have shown elevated risks by beverage type. This paper examines the situation in Ontario, Canada, from 1995 to present (2011) on several dimensions in order to assess the differences by beverage and their rationale with a specific focus on the most recent policies. METHODS: This paper draws on archival consumption statistics, taxation and pricing arrangements, and retailing and marketing practices. RESULTS: Off-premise sales, which represent an estimated 75% of ethanol, involve several channels: stores controlled by the Liquor Control Board (LCBO) - which sell all spirits, imported and domestic wines, and beer products; the Beer Store network which sell all beers; and Ontario winery stores - which sell Ontario wines. In LCBO stores Ontario wines are more prominently displayed than other beverages, and extensive print advertising tends to feature wine over beer and spirits. There are also differences by beverage in terms of taxation and price. The taxes on higher alcohol content beverage types account for a higher portion of the retail price than taxes on lower alcohol content beverage types. Furthermore, minimum price regulations allow for differential minimum pricing per standard drink [17.05 ml ethanol] across beverage types. CONCLUSIONS: The apparent rationale for these arrangements is not primarily that of favouring lighter-strength beverages in order to reduce harm, but rather to accommodate long-standing vested interests which are primarily financially based
Nocturnal Hypoxia and Loss of Kidney Function
Background: Although obstructive sleep apnea (OSA) is more common in patients with kidney disease, whether nocturnal hypoxia affects kidney function is unknown. Methods: We studied all adult subjects referred for diagnostic testing of sleep apnea between July 2005 and December 31 2007 who had serial measurement of their kidney function. Nocturnal hypoxia was defined as oxygen saturation (SaO2) below 90 % for 4 ml/min/1.73 m2 per year. Results: 858 participants were included and followed for a mean study period of 2.1 years. Overall 374 (44%) had nocturnal hypoxia, and 49 (5.7%) had accelerated loss of kidney function. Compared to controls without hypoxia, patients with nocturnal hypoxia had a significant increase in the adjusted risk of accelerated kidney function loss (odds ratio (OR) 2.89, 95 % confidence interval [CI] 1.25, 6.67). Conclusion: Nocturnal hypoxia was independently associated with an increased risk of accelerated kidney function loss. Further studies are required to determine whether treatment and correction of nocturnal hypoxia reduces loss of kidney function
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A population-based phenome-wide association study of cardiac and aortic structure and function
Differences in cardiac and aortic structure and function are associated with cardiovascular diseases and a wide range of other types of disease. Here we analyzed cardiovascular magnetic resonance images from a population-based study, the UK Biobank, using an automated machine-learning-based analysis pipeline. We report a comprehensive range of structural and functional phenotypes for the heart and aorta across 26,893 participants, and explore how these phenotypes vary according to sex, age and major cardiovascular risk factors. We extended this analysis with a phenome-wide association study, in which we tested for correlations of a wide range of non-imaging phenotypes of the participants with imaging phenotypes. We further explored the associations of imaging phenotypes with early-life factors, mental health and cognitive function using both observational analysis and Mendelian randomization. Our study illustrates how population-based cardiac and aortic imaging phenotypes can be used to better define cardiovascular disease risks as well as heart–brain health interactions, highlighting new opportunities for studying disease mechanisms and developing image-based biomarkers
Identifying Unique Subgroups of High-Cost Patients With Schizophrenia: A Population-Based Study Using Latent Class Analysis
Schizophrenia does not present uniformly among patients and as a result this patient population is characterized by a diversity in the type and amount of healthcare supports needed for daily functioning. Despite this, little work has been completed to understand the heterogeneity that exists among these patients. In this work we used a data-driven approach to identify subgroups of high-cost patients with schizophrenia to identify potentially actionable interventions for the improvement of outcomes and to inform conversations on how to most efficiently allocate resources in an already strained system. Administrative health data was used to conduct a retrospective analysis of “high-cost” adult patients with schizophrenia residing in Alberta, Canada in 2017. Costs were derived from inpatient encounters, outpatient primary care and specialist encounters, emergency department encounters, and drug costs. Latent class analysis was used to group patients based on their unique clinical profiles. Latent class analysis of 1659 patients revealed the following patient groups: (1) young, high-needs males early in their disease course; (2) actively managed middle-aged patients; (3) elderly patients with multiple chronic conditions and polypharmacy; (4) unstably housed males with low treatment rates; (5) unstably housed females with high acute care use and low treatment rates. This taxonomy may be used to inform policy, including the identification of interventions most likely to improve care and reduce health spending for each subgroup
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