992 resultados para Consortium


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"Printed: March 1989."

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The concept of the burden of disease, introduced and estimated for a broad range of diseases in the World Bank report of 1993 illustrated that mental and neurological disorders not only entail a higher burden than cancer, but are responsible, in developed and developing countries, for more than 15% of the total burden of all diseases. As a consequence, over the past decade, mental disorders have ranked increasingly highly on the international agenda for health. However, the fact that mental health and nervous system disorders are now high on the international health agenda is by no means a guarantee that the fate of patients suffering from these disorders in developing countries will improve. In most developing countries the treatment gap for mental and neurological disorders is still unacceptably high. To address this problem, an international network of collaborating institutions in low-income countries has been set up. The establishment and the achievements of this network-the International Consortium on Mental Health Policy and Services-are reported. Sixteen institutions in developing countries collaborate (supported by a small number of scientific resource centres in industrialized nations) in projects on applied mental health systems research. Over a two-year period, the network produced the key elements of a national mental health policy; provided tools and methods for assessing a country's current mental health status (context, needs and demands, programmes, services and care and outcomes); established a global network of expertise, i.e., institutions and experts, for use by countries wishing to reform their mental health policy, services and care; and generated guidelines and examples for upgrading mental health policy with due regard to the existing mental health delivery system and demographic, cultural and economic factors.

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Within the contemporary business milieu, the discipline of selling and sales management has taken on a more prominent role in recent years. Myriad factors have contributed to the rise of interest in sales including globalization, technology, more sophisticated analytical approaches and new opportunities for co-creation of value between organizations and their customers. Over the past three decades, seven faculty consortia in sales have served as milestones to document the progress 2of the field, particularly the evolution of academic research. This article provides key takeaways from the most recent American Marketing Association (AMA) Faculty Consortium in Selling and Sales Management, which had the overarching goal of fostering new opportunities for building intercontinental research teams to effectively address the substantive issues for the future of the field. © 2014 Pi Sigma Epsilon National Educational Foundation.

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Funding • The pooled data coordination team (PBoffetta, MH, YCAL) were supported by National Cancer Institute grant R03CA113157 and by National Institute of Dental and Craniofacial Research grant R03DE016611 • The Milan study (CLV) was supported by the Italian Association for Research on Cancer (Grant no. 10068). • The Aviano study (LDM) was supported by a grant from the Italian Association for Research on Cancer (AIRC), Italian League Against Cancer and Italian Ministry of Research • The Italy Multicenter study (DS) was supported by the Italian Association for Research on Cancer (AIRC), Italian League Against Cancer and Italian Ministry of Research. • The Study from Switzerland (FL) was supported by the Swiss League against Cancer and the Swiss Research against Cancer/Oncosuisse [KFS-700, OCS-1633]. • The central Europe study (PBoffetta, PBrenan, EF, JL, DM, PR, OS, NS-D) was supported by the World Cancer Research Fund and the European Commission INCOCOPERNICUS Program [Contract No. IC15- CT98-0332] • The New York multicentre study (JM) was supported by a grant from National Institute of Health [P01CA068384 K07CA104231]. • The study from the Fred Hutchison Cancer Research Center from Seattle (CC, SMS) was supported by a National Institute of Health grant [R01CA048996, R01DE012609]. • The Iowa study (ES) was supported by National Instituteof Health [NIDCR R01DE011979, NIDCR R01DE013110, FIRCA TW001500] and Veterans Affairs Merit Review Funds. • The North Carolina studies (AFO) were supported by National Institute of Health [R01CA061188], and in part by a grant from the National Institute of Environmental Health Sciences [P30ES010126]. • The Tampa study (PLazarus, JM) was supported by National Institute of Health grants [P01CA068384, K07CA104231, R01DE013158] • The Los Angeles study (Z-F Z, HM) was supported by grants from National Institute of Health [P50CA090388, R01DA011386, R03CA077954, T32CA009142, U01CA096134, R21ES011667] and the Alper Research Program for Environmental Genomics of the UCLA Jonsson Comprehensive Cancer Center. • The Houston study (EMS, GL) was supported by a grant from National Institute of Health [R01ES011740, R01CA100264]. • The Puerto Rico study (RBH, MPP) was supported by a grant from National Institutes of Health (NCI) US and NIDCR intramural programs. • The Latin America study (PBoffetta, PBrenan, MV, LF, MPC, AM, AWD, SK, VW-F) was supported by Fondo para la Investigacion Cientifica y Tecnologica (FONCYT) Argentina, IMIM (Barcelona), Fundaco de Amparo a‘ Pesquisa no Estado de Sao Paulo (FAPESP) [No 01/01768-2], and European Commission [IC18-CT97-0222] • The IARC multicentre study (SF, RH, XC) was supported by Fondo de Investigaciones Sanitarias (FIS) of the Spanish Government [FIS 97/ 0024, FIS 97/0662, BAE 01/5013], International Union Against Cancer (UICC), and Yamagiwa-Yoshida Memorial International Cancer Study Grant. • The Boston study (KKelsey, MMcC) was supported by a grant from National Institute of Health [R01CA078609, R01CA100679]. • The Rome study (SB, GC) was supported by AIRC (Italian Agency for Research on Cancer). • The US multicentre study (BW) was supported by The Intramural Program of the National Cancer Institute, National Institute of Health, United States. • The Sao Paolo study (V W-F) was supported by Fundacao de Ampara a Pesquisa no Estado de Sao Paulo (FAPESP No 10/51168-0) • The MSKCC study (SS, G-P Y) was supported by a grant from National Institute of Health [R01CA051845]. • The Seattle-Leo stud (FV) was supported by a grant from National Institute of Health [R01CA030022] • The western Europe Study (PBoffetta, IH, WA, PLagiou, DS, LS, FM, CH, KKjaerheim, DC, TMc, PT, AA, AZ) was supported by European Community (5th Frame work Programme) grant no QLK1-CT-2001- 00182. • The Germany Heidelberg study (HR) was supported by the grant No. 01GB9702/3 from the German Ministry of Education and Research.

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Corrigendum European Journal of Human Genetics (2016) 24, 1515; doi:10.1038/ejhg.2016.81 22 Years of predictive testing for Huntington’s disease: the experience of the UK Huntington’s Prediction Consortium Sheharyar S Baig, Mark Strong, Elisabeth Rosser, Nicola V Taverner, Ruth Glew, Zosia Miedzybrodzka, Angus Clarke, David Craufurd, UK Huntington's Disease Prediction Consortium and Oliver W Quarrell Correction to: European Journal of Human Genetics advance online publication, 11 May 2016; doi: 10.1038/ejhg.2016.36 Post online publication the authors realised that they had made an error: The sentence on page 2: 'In the first 5-year period........but this changed significantly in the last 5-year period with 51% positive and 49% negative (χ2=20.6, P<0.0001)' should read: 'In the first 5-year period........but this changed significantly in the last 5-year period with 49% positive and 51% negative (χ2=20.6, P<0.0001)'.

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BACKGROUND/OBJECTIVES: There is limited information to support definitive recommendations concerning the role of diet in the development of type 2 Diabetes mellitus (T2DM). The results of the latest meta-analyses suggest that an increased consumption of green leafy vegetables may reduce the incidence of diabetes, with either no association or weak associations demonstrated for total fruit and vegetable intake. Few studies have, however, focused on older subjects.

SUBJECTS/METHODS: The relationship between T2DM and fruit and vegetable intake was investigated using data from the NIH-AARP study and the EPIC Elderly study. All participants below the age of 50 and/or with a history of cancer, diabetes or coronary heart disease were excluded from the analysis. Multivariate logistic regression analysis was used to calculate the odds ratio of T2DM comparing the highest with the lowest estimated portions of fruit, vegetable, green leafy vegetables and cabbage intake.

RESULTS: Comparing people with the highest and lowest estimated portions of fruit, vegetable or green leafy vegetable intake indicated no association with the risk of T2DM. However, although the pooled OR across all studies showed no effect overall, there was significant heterogeneity across cohorts and independent results from the NIH-AARP study showed that fruit and green leafy vegetable intake was associated with a reduced risk of T2DM OR 0.95 (95% CI 0.91,0.99) and OR 0.87 (95% CI 0.87,0.90) respectively.

CONCLUSIONS: Fruit and vegetable intake was not shown to be related to incident T2DM in older subjects. Summary analysis also found no associations between green leafy vegetable and cabbage intake and the onset of T2DM. Future dietary pattern studies may shed light on the origin of the heterogeneity across populations.European Journal of Clinical Nutrition advance online publication, 17 August 2016; 

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INTRODUCTION: The differential associations of beer, wine, and spirit consumption on cardiovascular risk found in observational studies may be confounded by diet. We described and compared dietary intake and diet quality according to alcoholic beverage preference in European elderly.

METHODS: From the Consortium on Health and Ageing: Network of Cohorts in Europe and the United States (CHANCES), seven European cohorts were included, i.e. four sub-cohorts from EPIC-Elderly, the SENECA Study, the Zutphen Elderly Study, and the Rotterdam Study. Harmonized data of 29,423 elderly participants from 14 European countries were analyzed. Baseline data on consumption of beer, wine, and spirits, and dietary intake were collected with questionnaires. Diet quality was assessed using the Healthy Diet Indicator (HDI). Intakes and scores across categories of alcoholic beverage preference (beer, wine, spirit, no preference, non-consumers) were adjusted for age, sex, socio-economic status, self-reported prevalent diseases, and lifestyle factors. Cohort-specific mean intakes and scores were calculated as well as weighted means combining all cohorts.

RESULTS: In 5 of 7 cohorts, persons with a wine preference formed the largest group. After multivariate adjustment, persons with a wine preference tended to have a higher HDI score and intake of healthy foods in most cohorts, but differences were small. The weighted estimates of all cohorts combined revealed that non-consumers had the highest fruit and vegetable intake, followed by wine consumers. Non-consumers and persons with no specific preference had a higher HDI score, spirit consumers the lowest. However, overall diet quality as measured by HDI did not differ greatly across alcoholic beverage preference categories.

DISCUSSION: This study using harmonized data from ~30,000 elderly from 14 European countries showed that, after multivariate adjustment, dietary habits and diet quality did not differ greatly according to alcoholic beverage preference.

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AIMS: Our aims were to evaluate the distribution of troponin I concentrations in population cohorts across Europe, to characterize the association with cardiovascular outcomes, to determine the predictive value beyond the variables used in the ESC SCORE, to test a potentially clinically relevant cut-off value, and to evaluate the improved eligibility for statin therapy based on elevated troponin I concentrations retrospectively.

METHODS AND RESULTS: Based on the Biomarkers for Cardiovascular Risk Assessment in Europe (BiomarCaRE) project, we analysed individual level data from 10 prospective population-based studies including 74 738 participants. We investigated the value of adding troponin I levels to conventional risk factors for prediction of cardiovascular disease by calculating measures of discrimination (C-index) and net reclassification improvement (NRI). We further tested the clinical implication of statin therapy based on troponin concentration in 12 956 individuals free of cardiovascular disease in the JUPITER study. Troponin I remained an independent predictor with a hazard ratio of 1.37 for cardiovascular mortality, 1.23 for cardiovascular disease, and 1.24 for total mortality. The addition of troponin I information to a prognostic model for cardiovascular death constructed of ESC SCORE variables increased the C-index discrimination measure by 0.007 and yielded an NRI of 0.048, whereas the addition to prognostic models for cardiovascular disease and total mortality led to lesser C-index discrimination and NRI increment. In individuals above 6 ng/L of troponin I, a concentration near the upper quintile in BiomarCaRE (5.9 ng/L) and JUPITER (5.8 ng/L), rosuvastatin therapy resulted in higher absolute risk reduction compared with individuals <6 ng/L of troponin I, whereas the relative risk reduction was similar.

CONCLUSION: In individuals free of cardiovascular disease, the addition of troponin I to variables of established risk score improves prediction of cardiovascular death and cardiovascular disease.