390 results on '"Beulens, J."'
Search Results
152. Role of N2 addition on CF4/O2 remote plasma chemical dry etching of polycrystalline silicon
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Matsuo, P. J., primary, Kastenmeier, B. E. E., additional, Beulens, J. J., additional, and Oehrlein, G. S., additional
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- 1997
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153. Role of steady state fluorocarbon films in the etching of silicon dioxide using CHF3 in an inductively coupled plasma reactor
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Rueger, N. R., primary, Beulens, J. J., additional, Schaepkens, M., additional, Doemling, M. F., additional, Mirza, J. M., additional, Standaert, T. E. F. M., additional, and Oehrlein, G. S., additional
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- 1997
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154. Chemical dry etching of silicon nitride and silicon dioxide using CF4/O2/N2 gas mixtures
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Kastenmeier, B. E. E., primary, Matsuo, P. J., additional, Beulens, J. J., additional, and Oehrlein, G. S., additional
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- 1996
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155. Study of plasma - surface interactions: chemical dry etching and high-density plasma etching
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Oehrlein, G S, primary, Matsuo, P J, additional, Doemling, M F, additional, Rueger, N R, additional, Kastenmeier, B E E, additional, Schaepkens, M, additional, Standaert, Th, additional, and Beulens, J J, additional
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- 1996
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156. Chemical downstream etching of silicon–nitride and polycrystalline silicon using CF4/O2/N2: Surface chemical effects of O2 and N2 additives
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Beulens, J. J., primary, Kastenmeier, B. E. E., additional, Matsuo, P. J., additional, and Oehrlein, G. S., additional
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- 1995
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157. Axial temperatures and electron densities in a flowing cascaded arc: model versus experiment
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Beulens, J J, primary, Graaf, M J de, additional, and Schram, D C, additional
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- 1993
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158. Fast silicon etching using an expanding cascade arc plasma in a SF6/argon mixture
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Beulens, J. J., primary
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- 1992
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159. Prediction models for the risk of cardiovascular disease in patients with type 2 diabetes: a systematic review.
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Dieren, S van, Beulens, J. W. J., Kengne, A. P., Peelen, L. M., Rutten, G. E. H. M., Woodward, M., van der Schouw, Y. T., and Moons, K. G. M.
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CARDIOVASCULAR diseases risk factors , *CARDIOVASCULAR diseases , *PATIENTS , *TYPE 2 diabetes , *CLINICAL trials , *DATA extraction , *HEALTH outcome assessment - Abstract
Context A recent overview of all CVD models applicable to diabetes patients is not available Objective To review the primary prevention studies that focused on the development, validation and impact assessment of a cardiovascular risk model, scores or rules that can be applied to patients with type 2 diabetes Design Systematic review Data sources Medline was searched from 1966 to 1 April 2011 Study selection A study was eligible when it described the development, validation or impact assessment of a model that was constructed to predict the occurrence of cardiovascular disease in people with type 2 diabetes, or when the model was designed for use in the general population but included diabetes as a predictor Data extraction A standardized form was sued to extract all data of the CVD models. Results 45 prediction models were identified, of which 12 were specifically developed for patients with type 2 diabetes. Only 31% of the risk scores has been externally validated in a diabetes population, with an area under the curve ranging from 0.61 to 0.86 and 0.59 to 0.80 for models developed in a diabetes population and in the general population, respectively. Only one risk score has been studied for its effect on patient management and outcomes. 10% of the risk scores are advocated in national diabetes guidelines Conclusion Many cardiovascular risk scores are available that can be applied to patients with type 2 diabetes. A minority of these risk scores has been validated and tested for its predictive accuracy, with only a few showing a discriminative value of $0.80. The impact of applying these risk scores in clinical practice is almost completely unknown, but their use is recommended in various national guidelines [ABSTRACT FROM AUTHOR]
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- 2012
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160. Mediterranean diet and type 2 diabetes risk in the European Prospective Investigation into Cancer and Nutrition (EPIC) study: the InterAct project.
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InterAct Consortium, Romaguera, D, Guevara, M, Norat, T, Langenberg, C, Forouhi, N G, Sharp, S, Slimani, N, Schulze, M B, Buijsse, B, Buckland, G, Molina-Montes, E, Sánchez, M J, Moreno-Iribas, M C, Bendinelli, B, Grioni, S, van der Schouw, Y T, Arriola, L, Beulens, J W, and Boeing, H
- Abstract
Objective: To study the association between adherence to the Mediterranean dietary pattern (MDP) and risk of developing type 2 diabetes, across European countries.Research Design and Methods: We established a case-cohort study including 11,994 incident type 2 diabetic case subjects and a stratified subcohort of 15,798 participants selected from a total cohort of 340,234 participants with 3.99 million person-years of follow-up, from eight European cohorts participating in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. The relative Mediterranean diet score (rMED) (score range 0-18) was used to assess adherence to MDP on the basis of reported consumption of nine dietary components characteristic of the Mediterranean diet. Cox proportional hazards regression, modified for the case-cohort design, was used to estimate the association between rMED and risk of type 2 diabetes, adjusting for confounders.Results: The multiple adjusted hazard ratios of type 2 diabetes among individuals with medium (rMED 7-10 points) and high adherence to MDP (rMED 11-18 points) were 0.93 (95% CI 0.86-1.01) and 0.88 (0.79-0.97), respectively, compared with individuals with low adherence to MDP (0-6 points) (P for trend 0.013). The association between rMED and type 2 diabetes was attenuated in people <50 years of age, in obese participants, and when the alcohol, meat, and olive oil components were excluded from the score.Conclusions: In this large prospective study, adherence to the MDP, as defined by rMED, was associated with a small reduction in the risk of developing type 2 diabetes in this European population. [ABSTRACT FROM AUTHOR]- Published
- 2011
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161. External validation of the UK Prospective Diabetes Study (UKPDS) risk engine in patients with type 2 diabetes.
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Dieren, S., Peelen, L., Nöthlings, U., Schouw, Y., Rutten, G., Spijkerman, A., A, D., Sluik, D., Boeing, H., Moons, K., and Beulens, J.
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ims/hypothesis: Treatment guidelines recommend the UK Prospective Diabetes Study (UKPDS) risk engine for predicting cardiovascular risk in patients with type 2 diabetes, although validation studies showed moderate performance. The methods used in these validation studies were diverse, however, and sometimes insufficient. Hence, we assessed the discrimination and calibration of the UKPDS risk engine to predict 4, 5, 6 and 8 year cardiovascular risk in patients with type 2 diabetes. Methods: The cohort included 1,622 patients with type 2 diabetes. During a mean follow-up of 8 years, patients were followed for incidence of CHD and cardiovascular disease (CVD). Discrimination and calibration were assessed for 4, 5, 6 and 8 year risk. Discrimination was examined using the c-statistic and calibration by visually inspecting calibration plots and calculating the Hosmer-Lemeshow χ statistic. Results: The UKPDS risk engine showed moderate to poor discrimination for both CHD and CVD ( c-statistic of 0.66 for both 5 year CHD and CVD risks), and an overestimation of the risk (224% and 112%). The calibration of the UKPDS risk engine was slightly better for patients with type 2 diabetes who had been diagnosed with diabetes more than 10 years ago compared with patients diagnosed more recently, particularly for 4 and 5 year predicted CVD and CHD risks. Discrimination for these periods was still moderate to poor. Conclusions/interpretation: We observed that the UKPDS risk engine overestimates CHD and CVD risk. The discriminative ability of this model is moderate, irrespective of various subgroup analyses. To enhance the prediction of CVD in patients with type 2 diabetes, this model should be updated. [ABSTRACT FROM AUTHOR]
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- 2011
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162. Non-fasting lipids and risk of cardiovascular disease in patients with diabetes mellitus.
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Dieren, S., Nöthlings, U., Schouw, Y., Spijkerman, A., Rutten, G., A, D., Sluik, D., Weikert, C., Joost, H., Boeing, H., and Beulens, J.
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ims/hypothesis: The aim of this study was to examine the effect of postprandial time on the associations and predictive value of non-fasting lipid levels and cardiovascular disease risk in participants with diabetes. Methods: This study was conducted among 1,337 participants with diabetes from the Dutch and German (Potsdam) contributions to the European Prospective Investigation into Cancer and Nutrition. At baseline, total cholesterol, LDL- and HDL-cholesterol and triacylglycerol concentrations were measured and the ratio of total cholesterol/HDL-cholesterol was calculated. Participants were followed for incidence of cardiovascular disease. Results: Lipid concentrations changed minimally with increasing postprandial time, except for triacylglycerol which was elevated just after a meal and declined over time (1.86 at 0.1 h to 1.33 at >6 h, p for trend <0.001). During a mean follow-up of 8 years, 116 cardiovascular events were documented. After adjustment for potential confounders, triacylglycerol (HR for third tertile compared with first tertile (HR), 1.73 [95% CI 1.04, 2.87]), HDL-cholesterol (HR, 0.41 [95% CI 0.23, 0.72]) and total cholesterol/HDL-cholesterol ratio (HR, 1.65 [95% CI 0.95, 2.85]) were associated with cardiovascular disease, independent of postprandial time. Cardiovascular disease risk prediction using the UK Prospective Diabetes Study risk engine was not affected by postprandial time. Conclusions/interpretation: Postprandial time did not affect associations between lipid concentrations and cardiovascular disease risk in patients with diabetes, nor did it influence prediction of cardiovascular disease. Therefore, it may not be necessary to use fasting blood samples to determine lipid concentrations for cardiovascular disease risk prediction in patients with diabetes. [ABSTRACT FROM AUTHOR]
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- 2011
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163. A two‐dimensional nonequilibrium model of cascaded arc plasma flows
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Beulens, J. J., primary, Milojevic, D., additional, Schram, D. C., additional, and Vallinga, P. M., additional
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- 1991
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164. Coffee and tea consumption and risk of type 2 diabetes.
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Dieren, S., Uiterwaal, C., Schouw, Y., A, D., Boer, J., Spijkerman, A., Grobbee, D., and Beulens, J.
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The aim of this study was to examine the association of consumption of coffee and tea, separately and in total, with risk of type 2 diabetes and which factors mediate these relations. This research was conducted as part of the Dutch Contribution to the European Prospective Investigation into Cancer and Nutrition, which involves a prospective cohort of 40,011 participants with a mean follow-up of 10 years. A validated food-frequency questionnaire was used to assess coffee and tea consumption and other lifestyle and dietary factors. The main outcome was verified incidence of type 2 diabetes. Blood pressure, caffeine, magnesium and potassium were examined as possible mediating factors. During follow-up, 918 incident cases of type 2 diabetes were documented. After adjustment for potential confounders, coffee and tea consumption were both inversely associated with type 2 diabetes, with hazard ratios of 0.77 (95% CI 0.63–0.95) for 4.1–6.0 cups of coffee per day ( p for trend = 0.033) and 0.63 (95% CI: 0.47–0.86) for >5.0 cups of tea per day ( p for trend = 0.002). Total daily consumption of at least three cups of coffee and/or tea reduced the risk of type 2 diabetes by approximately 42%. Adjusting for blood pressure, magnesium, potassium and caffeine did not attenuate the associations. Drinking coffee or tea is associated with a lowered risk of type 2 diabetes, which cannot be explained by magnesium, potassium, caffeine or blood pressure effects. Total consumption of at least three cups of coffee or tea per day may lower the risk of type 2 diabetes. [ABSTRACT FROM AUTHOR]
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- 2009
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165. FAST PLASMA DEPOSITION OF CARBON AND SILICON LAYERS
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BEULENS, J. J., primary, BUURON, A. J.M., additional, BISSCHOPS, L. A., additional, BISSCHOPS, T. H.J., additional, HUSKEN, A. B.M., additional, KROESEN, G. M.W., additional, MEEUSEN, G. J., additional, TIMMERMANS, C. J., additional, WILBERS, A. T.M., additional, and SCHRAM, D. C., additional
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- 1990
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166. ÉVALUATION DES TEMPÉRATURES DE ROTATION ET DE VIBRATION À PARTIR DU SPECTRE D'ÉMISSION A2Ɗ-X2Π DE LA MOLÉCULE CH
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KOULIDIATI, J., primary, CZERNICHOWSKI, A., additional, BEULENS, J. J., additional, and SCHRAM, D. C., additional
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- 1990
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167. Fast deposition of plasma polymer layers
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Beulens, J. J., primary, Kroesen, G. M. W., additional, Schram, D. C., additional, Timmermans, C. J., additional, Crouzen, P. C. N., additional, Vasmel, H., additional, Schuurmans, H. J. A., additional, Beijer, C. B., additional, and Werner, J., additional
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- 1990
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168. The physics of plasma polymer deposition
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Schram, D. C., primary, Kroesen, G. M. W., additional, and Beulens, J. J., additional
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- 1990
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169. Selective etching of SiO2 over polycrystalline silicon using CHF3 in an inductively coupled plasma reactor.
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Rueger, N. R., Doemling, M. F., Schaepkens, M., Beulens, J. J., Standaert, T. E. F. M., and Oehrlein, G. S.
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- 1999
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170. Role of N2 addition on CF4/O2 remote plasma chemical dry etching of polycrystalline silicon.
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Matsuo, P. J., Kastenmeier, B. E. E., Beulens, J. J., and Oehrlein, G. S.
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- 1997
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171. Role of steady state fluorocarbon films in the etching of silicon dioxide using CHF3 in an inductively coupled plasma reactor.
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Rueger, N. R., Beulens, J. J., Schaepkens, M., Doemling, M. F., Mirza, J. M., Standaert, T. E. F. M., and Oehrlein, G. S.
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- 1997
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172. Moderate alcohol consumption increases cholesterol efflux mediated by ABCA1.
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Beulens, J W J, Sierksma, A, van Tol, A, Fournier, N, van Gent, T, Paul, J-L, and Hendriks, H F J
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Moderate alcohol consumption increases HDL cholesterol, which is involved in reverse cholesterol transport (RCT). The aim of this study was to investigate the effect of moderate alcohol consumption on cholesterol efflux, using J774 mouse macrophages and Fu5AH cells, and on other parameters in the RCT pathway. Twenty-three healthy men (45-65 years) participated in a randomized, partially diet-controlled, crossover trial. They consumed four glasses of whisky (40 g of alcohol) or water daily for 17 days. After 17 days of whisky consumption, serum capacity to induce ABCA1-dependent cholesterol efflux from J774 mouse macrophages was increased by 17.5% (P = 0.027) compared with water consumption. Plasma capacity to induce cholesterol efflux from Fu5AH cells increased by 4.6% (P = 0.002). Prebeta-HDL, apolipoprotein A-I (apoA-I), and lipoprotein A-I:A-II also increased by 31.6, 6.2, and 5.7% (P < 0.05), respectively, after whisky consumption compared with water consumption. Changes of cAMP-stimulated cholesterol efflux correlated (r = 0.65, P < 0.05) with changes of apoA-I but not with changes of prebeta-HDL (r = 0.30, P = 0.18). Cholesterol efflux capacities from serum of lean men were higher than those from overweight men. In conclusion, this study shows that moderate alcohol consumption increases the capacity of serum to induce cholesterol efflux from J774 mouse macrophages, which may be mediated by ABCA1.
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- 2004
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173. [Validity of risk scores to predict type 2 diabetes in the Dutch population]. | Validiteit van risicoscores voor het voorspellen van diabetes type 2 bij Nederlanders
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Beulens, J. W. J., ALI ABBASI, Peelen, L. M., Spijkerman, A. M. W., A, D. L., Corpeleijn, E., Bakker, S. J. L., and Schouw, Y. T.
174. Dietary protein intake in low-carb diets and subsequent weight change and mortality in type 2 diabetes
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Campmans-Kuijpers, M. J. E., Sluijs, I., Noethlings, U., Freisling, H., Overvad, K., Elisabete Weiderpass, Fagherazzi, G., Peeters, P. H. M., and Beulens, J. W. J.
175. Prediction of macrovascular events and mortality in people with type 2 diabetes using dynamic modelling of systolic blood pressure: the Hoorn Diabetes Care System cohort
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Nijpels, G., Yauw, J., Feenstra, T., Baan, C., Beulens, J., Elders, P., Herings, R., Moons, K., Slieker, R., Peelen, L., van der Heijden, A., PharmacoTherapy, -Epidemiology and -Economics, Value, Affordability and Sustainability (VALUE), and Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET)
176. Clinical profile of post-load glucose curves and their association with cardiometabolic risk factors over time
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Obura, M., Rutters, F., Slieker, R., Hoekstra, T., Nijpels, G., Pearson, E., Franks, P., Leen 't Hart, Beulens, J., Epidemiology and Data Science, APH - Methodology, APH - Health Behaviors & Chronic Diseases, APH - Aging & Later Life, General practice, ACS - Diabetes & metabolism, and ACS - Heart failure & arrhythmias
177. Prediction models for the risk of diabetic foot in people with type 2 diabetes: a systematic review and external validation study
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Beulens, J. W., Yauw, J. S., Peelen, L. M., Feenstra, T. L., Moons, K. G., Slieker, R. C., Herings, R. M., Elders, P. J., Nijpels, G., van der Heijden, A. A., Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Value, Affordability and Sustainability (VALUE), and PharmacoTherapy, -Epidemiology and -Economics
178. Plasma metabolomics identifies markers of kidney function in 3,064 Europeans with type 2 diabetes
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Ahluwalia, T. S., Tofte, N., Nicole Vogelzangs, Mook-Kanamori, D., Brahimaj, A., Frimodt-Moller, M., Ilja Arts, Beulens, J., Heijden, A., Coen Stehouwer, Nijpels, G., Marleen van Greevenbroek, Carla van der Kallen, Rossing, P., Hart, L. M. T., RS: NUTRIM - R1 - Obesity, diabetes and cardiovascular health, RS: FHML MaCSBio, RS: Carim - V01 Vascular complications of diabetes and metabolic syndrome, RS: CARIM - R3 - Vascular biology, Epidemiologie, RS: FSE MaCSBio, RS: FPN MaCSBio, MUMC+: HVC Pieken Maastricht Studie (9), MUMC+: MA Interne Geneeskunde (3), Interne Geneeskunde, and RS: CARIM - R3.01 - Vascular complications of diabetes and the metabolic syndrome
179. Alcohol consumption and risk of type 2 diabetes in European men and women: influence of beverage type and body sizeThe EPIC-InterAct study.
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Beulens, J. W. J., van der Schouw, Y. T., Bergmann, M. M., Rohrmann, S., Schulze, M. B., Buijsse, B., Grobbee, D. E., Arriola, L., Cauchi, S., Tormo, M.-J., Allen, N. E., van der A, D. L., Balkau, B., Boeing, H., Clavel-Chapelon, F., de Lauzon-Guillan, B., Franks, P., Froguel, P., Gonzales, C., and Halkjær, J.
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ALCOHOL drinking , *BEVERAGES , *BODY mass index , *TYPE 2 diabetes risk factors , *BODY size , *EUROPEANS - Abstract
. Beulens JWJ, van der Schouw YT, Bergmann MM, Rohrmann S, B Schulze M, Buijsse B, Grobbee DE, Arriola L, Cauchi S, Tormo M-J, Allen NE, van der A DL, Balkau B, Boeing H, Clavel-Chapelon F, de Lauzon-Guillan B, Franks P, Froguel P, Gonzales C, Halkjær J, Huerta JM, Kaaks R, Key TJ, Khaw KT, Krogh V, Molina-Montes E, Nilsson P, Overvad K, Palli D, Panico S, Ramón Quirós J, Ronaldsson O, Romieu I, Romaguera D, Sacerdote C, Sánchez M-J, Spijkerman AMW, Teucher B, Tjonneland A, Tumino R, Sharp S, Forouhi NG, Langenberg C, Feskens EJM, Riboli E, Wareham NJ (University Medical Center Utrecht, The Netherlands; German Institute of Human Nutrition, Potsdam-Rehbrücke, Germany; German Cancer Research Centre, Heidelberg, Germany; Basque Government, San Sebastian, CIBERESP, Spain; Institut de Biologie de Lille, Lille, France; Murcia Regional Health Council, Murcia, Spain; CIBER Epidemiologia y Salud Publica (CIBERESP), Spain; University of Oxford, Oxford, UK; National Institute of Public Health and the Environment, Bilthoven, The Netherlands; Inserm, CESP Centre for Research in Epidemiology and Population Health, Villejuif Cedex, France; Lund University, Malmö, Sweden; Imperial College, London, UK; Department of Epidemiology, Barcelona, Spain; Danish Cancer Society, Copenhagen, Denmark; University of Cambridge, Cambridge, UK; Fondazione IRCCS Istituto Nazionale Tumori Milan, Milan, Italy; Andalusian School of Public Health, Granada, Spain; School of Public Health, Aarhus, Denmark; Cancer Research and Prevention Institute (ISPO), Florence, Italy; Università Federico II, Napoli, Italy; Consejeria de Salud y Servicios Sanitarios, Oviedo-Asturias, Spain; Umea University, Umea, Sweden; International Agency for Research of Cancer, Lyon, France; Center for Cancer Prevention (CPO-Piemonte), Torino, Italy; 'Civile - M.P. Arezzo' Hospital, Ragusa, Italy; Addenbrooke's Hospital, Cambridge, UK; and Wageningen University, Wageningen, The Netherlands). Alcohol consumption and risk of type 2 diabetes in European men and women: influence of beverage type and body size. The EPIC-InterAct study. J Intern Med 2012; 272: 358-370. Objective: To investigate the association between alcohol consumption and type 2 diabetes, and determine whether this is modified by sex, body mass index (BMI) and beverage type. Design: Multicentre prospective case-cohort study. Setting: Eight countries from the European Prospective Investigation into Cancer and Nutrition cohort. Subjects: A representative baseline sample of 16 154 participants and 12 403 incident cases of type 2 diabetes. Interventions: Alcohol consumption assessed using validated dietary questionnaires. Main outcome measures: Occurrence of type 2 diabetes based on multiple sources (mainly self-reports), verified against medical information. Results: Amongst men, moderate alcohol consumption was nonsignificantly associated with a lower incidence of diabetes with a hazard ratio (HR) of 0.90 (95% CI: 0.78-1.05) for 6.1-12.0 versus 0.1-6.0 g day−1, adjusted for dietary and diabetes risk factors. However, the lowest risk was observed at higher intakes of 24.1-96.0 g day−1 with an HR of 0.86 (95% CI: 0.75-0.98). Amongst women, moderate alcohol consumption was associated with a lower incidence of diabetes with a hazard ratio of 0.82 (95% CI: 0.72-0.92) for 6.1-12.0 g day−1 ( P interaction gender <0.01). The inverse association between alcohol consumption and diabetes was more pronounced amongst overweight (BMI ≥ 25 kg m−2) than normal-weight men and women ( P interaction < 0.05). Adjusting for waist and hip circumference did not alter the results for men, but attenuated the association for women (HR=0.90, 95% CI: 0.79-1.03 for 6.1-12.0 g day−1). Wine consumption for men and fortified wine consumption for women were most strongly associated with a reduced risk of diabetes. Conclusions: The results of this study show that moderate alcohol consumption is associated with a lower risk of type 2 diabetes amongst women only. However, this risk reduction is in part explained by fat distribution. The relation between alcohol consumption and type 2 diabetes was stronger for overweight than normal-weight women and men. [ABSTRACT FROM AUTHOR]
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- 2012
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180. Alcohol Consumption and Risk for Coronary Heart Disease among Men with Hypertension.
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Beulens, J. W. J., Rimm, E. B., Ascherio, A., Spiegelman, D., Hendriks, H. F. J., and Mukamal, K. J.
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CORONARY disease , *HYPERTENSION , *ALCOHOL drinking , *HEART diseases , *ALCOHOL - Abstract
The article presents questions and answers related to a study on the risks of coronary heart disease among men with hypertension due to alcohol consumption. One question is about the purpose of the research study. Another question is about the number of the people who took part in the study. Another question is on how the study was conducted.
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- 2007
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181. Fast deposition of amorphous carbon and silicon layers
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Buuron, A. J. M., Meeusen, G. J., Beulens, J. J., and Sanden, M. C. M. Van de
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- 1993
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182. Alcohol-attributable burden of cancer in Argentina.
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van de Luitgaarden, I A T, Bardach, A E, Espinola, N, Schrieks, I C, Grobbee, D E, and Beulens, J W J
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ALCOHOL drinking , *CANCER risk factors , *TUMORS - Abstract
Introduction: Alcohol consumption is a risk factor for several types of cancer. Alcohol consumption levels in Argentina are among the highest in the world, and malignant neoplasms are the second cause of death in the country. Public health strategies aimed at reducing alcohol consumption could possibly lead to a decrease in cancer burden. Alcohol-attributable burden has been estimated before in neighboring countries Chile and Brazil. We now aimed to quantify the burden for Argentina.Methods: We obtained data on alcohol consumption levels from a national representative health survey and etiologic effect sizes for the association between alcohol and cancer from the most recent comprehensive meta-analysis. We estimated the number of alcohol-attributable cancer-related deaths and disability-adjusted life years (DALYs), stratified by consumption level (light (0.1-12.5 g/day), moderate (12.6-50 g/day), or heavy (> 50 g/day) drinking). We additionally explored which hypothetical scenario would achieve the highest reduction in alcohol-attributable cancer burden: 1) heavy drinkers shifting to moderate drinking or 2) moderate drinkers shifting to light drinking.Results: In 2018, 53% of the Argentinean population consumed alcohol. In men 3.7% of all cancer deaths and DALYs were attributable to alcohol consumption, in women this was 0.8% of all cancer deaths and DALYs. When moderate drinkers would shift to light drinking, 46% of alcohol-attributable cancer deaths and DALYs would be prevented, opposed to only 24% when heavy drinkers would shift to moderate drinking.Conclusion: Most cancer deaths and DALYs were attributable to moderate alcohol consumption (50%). This calls for implementation of population-wide strategies-instead of targeting heavy drinking only-to effectively reduce harmful use of alcohol and its impact on disease burden. [ABSTRACT FROM AUTHOR]- Published
- 2022
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183. The effect of on-shelf sugar labeling on beverage sales in the supermarket: a comparative interrupted time series analysis of a natural experiment.
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Hoenink, J. C., Stuber, J. M., Lakerveld, J., Waterlander, W., Beulens, J. W. J., and Mackenbach, J. D.
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SALES personnel , *EXPERIMENTAL design , *BEVERAGES , *FOOD labeling , *CONFIDENCE intervals , *NUTRITIONAL value , *CONSUMER attitudes , *DIETARY sucrose , *PRE-tests & post-tests , *COMPARATIVE studies , *TIME series analysis , *DESCRIPTIVE statistics , *GROCERY industry , *STATISTICAL sampling , *NATURAL foods , *HEALTH promotion - Abstract
Background: Nutrition labels show potential in increasing healthy food and beverage purchases, but their effectiveness seems to depend on the type of label, the targeted food category and the setting, and evidence on their impact in real-world settings is limited. The aim of this study was to evaluate the effectiveness of an industry-designed on-shelf sugar label on the sales of beverages with no, low, medium and high sugar content implemented within a real-world supermarket. Methods: In week 17 of 2019, on-shelf sugar labels were implemented by a Dutch supermarket chain. Non-alcoholic beverages were classified using a traffic-light labeling system and included the beverage categories "green" for sugar free (< 1.25 g/250 ml), "blue" for low sugar (1.25–6.24 g/250 ml), "yellow" for medium sugar (6.25–13.5 g/250 ml) and "amber" for high sugar (> 13.5 g/250 ml). Store-level data on beverage sales and revenue from 41 randomly selected supermarkets for 13 weeks pre-implementation and 21 weeks post-implementation were used for analysis. In total, 30 stores implemented the on-shelf sugar labels by week 17, and the 11 stores that had not were used as comparisons. Outcome measures were differences in the number of beverages sold in the four label categories and the total revenue from beverage sales in implementation stores relative to comparison stores. Analyses were conducted using a multiple-group Interrupted Time Series Approach. Results of individual store data were combined using random effect meta-analyses. Results: At the end of the intervention period, the changes in sales of beverages with green (B 3.4, 95%CI -0.3; 7.0), blue (B 0.0, 95%CI -0.6; 0.7), yellow (B 1.3, 95%CI -0.9; 3.5), and amber (B 0.9, 95%CI -5.5; 7.3) labels were not significantly different between intervention and comparison stores. The changes in total revenues for beverages at the end of the intervention period were also not significantly different between intervention and comparison stores. Conclusion: The implementation of an on-shelf sugar labeling system did not significantly decrease unhealthy beverage sales or significantly increase healthier beverage sales. Nutrition labeling initiatives combined with complementary strategies, such as pricing strategies or other healthy food nudging approaches, should be considered to promote healthier beverage purchases. [ABSTRACT FROM AUTHOR]
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- 2021
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184. Correction to: Built environmental characteristics and diabetes: a systematic review and meta-analysis.
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den Braver, N. R., Lakerveld, J., Rutters, F., Schoonmade, L. J., Brug, J., and Beulens, J. W. J.
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DIABETES - Abstract
An amendment to this paper has been published and can be accessed via the original article. [ABSTRACT FROM AUTHOR]
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- 2021
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185. Local fast-food environment, diet and blood pressure: the moderating role of mastery.
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Mackenbach, J. D., Lakerveld, J., Generaal, E., Gibson-Smith, D., Penninx, B. W. J. H., and Beulens, J. W. J.
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BLOOD pressure , *BLOOD pressure measurement , *CONVENIENCE foods , *DIET , *FOOD quality , *GEOGRAPHIC information systems , *HYPERTENSION , *QUESTIONNAIRES , *REGRESSION analysis , *RESTAURANTS , *CROSS-sectional method , *DASH diet - Abstract
Purpose: To examine the moderating role of mastery in the association of local fast-food restaurants (FFR) with diet quality and systolic blood pressure (SBP). Methods: We used cross-sectional data from 1543 adults participating in wave six of the Netherlands Study of Depression and Anxiety (NESDA). Data were collected between 2013 and 2016. Diet quality was defined by adherence with the dietary approaches to stop hypertension (DASH) diet. Individuals reported on their food consumption through a food frequency questionnaire and SBP was measured. Density of FFR in 1600 m, 800 m and 400 m circular buffers around the home postal code was calculated using Geographic Information Systems. We assessed the association between density of FFR, diet and SBP using linear regression analyses, testing for moderation by mastery. Results: Mean age was 52 years and 32.2% of the sample were men. Exposure to FFR ranged from 0 to 35 FFR per km2. Density of FFR was not significantly associated with DASH adherence or SBP. Only one out of the six interaction terms was significant, suggesting that for individuals with lower levels of mastery, higher density of FFR in an 800-m buffer was negatively associated with DASH adherence, while for individuals with higher levels of mastery, this association was positive. Conclusions: Exposure to FFR was not associated with diet quality and SBP, and we observed little evidence for moderation by level of mastery. This research question should be further explored in a large sample of healthy adults. [ABSTRACT FROM AUTHOR]
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- 2019
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186. Exploring the relationship between perceived barriers to healthy eating and dietary behaviours in European adults.
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Pinho, M. G. M., Mackenbach, J. D., Charreire, H., Oppert, J.-M., Bárdos, H., Glonti, K., Rutter, H., Compernolle, S., De Bourdeaudhuij, I., Beulens, J. W. J., Brug, J., and Lakerveld, J.
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CONFIDENCE intervals , *CONSUMER attitudes , *CONVENIENCE foods , *DIET , *FOOD preferences , *HEALTH behavior , *NATURAL foods , *NUTRITIONAL assessment , *POPULATION geography , *TASTE , *TIME management , *SOCIOECONOMIC factors , *ODDS ratio - Abstract
Purpose: Dietary behaviours may be influenced by perceptions of barriers to healthy eating. Using data from a large cross-European study (N = 5900), we explored associations between various perceived barriers to healthy eating and dietary behaviours among adults from urban regions in five European countries and examined whether associations differed across regions and socio-demographic backgrounds.Methods: Frequency of consumption of fruit, vegetables, fish, fast food, sugar-sweetened beverages, sweets, breakfast and home-cooked meals were split by the median into higher and lower consumption. We tested associations between barriers (irregular working hours; giving up preferred foods; busy lifestyle; lack of willpower; price of healthy food; taste preferences of family and friends; lack of healthy options and unappealing foods) and dietary variables using multilevel logistic regression models. We explored whether associations differed by age, sex, education, urban region, weight status, household composition or employment.Results: Respondents who perceived any barrier were less likely to report higher consumption of healthier foods and more likely to report higher consumption of fast food. ‘Lack of willpower’, ‘time constraints’ and ‘taste preferences’ were most consistently associated with consumption. For example, those perceiving lack of willpower ate less fruit [odds ratio (OR) 0.57; 95% confidence interval (CI) 0.50-0.64], and those with a busy lifestyle ate less vegetables (OR 0.54; 95% CI 0.47-0.62). Many associations differed in size, but not in direction, by region, sex, age and household composition.Conclusion: Perceived ‘lack of willpower’, ‘time constraints’ and ‘taste preferences’ were barriers most strongly related to dietary behaviours, but the association between various barriers and lower intake of fruit and vegetables was somewhat more pronounced among younger participants and women. [ABSTRACT FROM AUTHOR]
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- 2018
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187. Built environmental characteristics and diabetes: a systematic review and meta-analysis.
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den Braver, N. R., Lakerveld, J., Rutters, F., Schoonmade, L. J., Brug, J., and Beulens, J. W. J.
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BUILT environment , *DIABETES , *TYPE 2 diabetes risk factors , *LIFESTYLES & health , *META-analysis - Abstract
Background: The built environment influences behaviour, like physical activity, diet and sleep, which affects the risk of type 2 diabetes mellitus (T2DM). This study systematically reviewed and meta-analysed evidence on the association between built environmental characteristics related to lifestyle behaviour and T2DM risk/prevalence, worldwide.Methods: We systematically searched PubMed, EMBASE.com and Web of Science from their inception to 6 June 2017. Studies were included with adult populations (>18 years), T2DM or glycaemic markers as outcomes, and physical activity and/or food environment and/or residential noise as independent variables. We excluded studies of specific subsamples of the population, that focused on built environmental characteristics that directly affect the cardiovascular system, that performed prediction analyses and that do not report original research. Data appraisal and extraction were based on published reports (PROSPERO-ID: CRD42016035663).Results: From 11,279 studies, 109 were eligible and 40 were meta-analysed. Living in an urban residence was associated with higher T2DM risk/prevalence (n = 19, odds ratio (OR) = 1.40; 95% CI, 1.2-1.6; I2 = 83%) compared to living in a rural residence. Higher neighbourhood walkability was associated with lower T2DM risk/prevalence (n = 8, OR = 0.79; 95% CI, 0.7-0.9; I2 = 92%) and more green space tended to be associated with lower T2DM risk/prevalence (n = 6, OR = 0.90; 95% CI, 0.8-1.0; I2 = 95%). No convincing evidence was found of an association between food environment with T2DM risk/prevalence.Conclusions: An important strength of the study was the comprehensive overview of the literature, but our study was limited by the conclusion of mainly cross-sectional studies. In addition to other positive consequences of walkability and access to green space, these environmental characteristics may also contribute to T2DM prevention. These results may be relevant for infrastructure planning. [ABSTRACT FROM AUTHOR]- Published
- 2018
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188. The power of genetic diversity in genome-wide association studies of lipids
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Graham, Sarah E, Clarke, Shoa L, Wu, Kuan-Han H, Kanoni, Stavroula, Zajac, Greg JM, Ramdas, Shweta, Surakka, Ida, Ntalla, Ioanna, Vedantam, Sailaja, Winkler, Thomas W, Locke, Adam E, Marouli, Eirini, Hwang, Mi Yeong, Han, Sohee, Narita, Akira, Choudhury, Ananyo, Bentley, Amy R, Ekoru, Kenneth, Verma, Anurag, Trivedi, Bhavi, Martin, Hilary C, Hunt, Karen A, Hui, Qin, Klarin, Derek, Zhu, Xiang, Thorleifsson, Gudmar, Helgadottir, Anna, Gudbjartsson, Daniel F, Holm, Hilma, Olafsson, Isleifur, Akiyama, Masato, Sakaue, Saori, Terao, Chikashi, Kanai, Masahiro, Zhou, Wei, Brumpton, Ben M, Rasheed, Humaira, Ruotsalainen, Sanni E, Havulinna, Aki S, Veturi, Yogasudha, Feng, QiPing, Rosenthal, Elisabeth A, Lingren, Todd, Pacheco, Jennifer Allen, Pendergrass, Sarah A, Haessler, Jeffrey, Giulianini, Franco, Bradford, Yuki, Miller, Jason E, Campbell, Archie, Lin, Kuang, Millwood, Iona Y, Hindy, George, Rasheed, Asif, Faul, Jessica D, Zhao, Wei, Weir, David R, Turman, Constance, Huang, Hongyan, Graff, Mariaelisa, Mahajan, Anubha, Brown, Michael R, Zhang, Weihua, Yu, Ketian, Schmidt, Ellen M, Pandit, Anita, Gustafsson, Stefan, Yin, Xianyong, Luan, Jian’an, Zhao, Jing-Hua, Matsuda, Fumihiko, Jang, Hye-Mi, Yoon, Kyungheon, Medina-Gomez, Carolina, Pitsillides, Achilleas, Hottenga, Jouke Jan, Willemsen, Gonneke, Wood, Andrew R, Ji, Yingji, Gao, Zishan, Haworth, Simon, Mitchell, Ruth E, Chai, Jin Fang, Aadahl, Mette, Yao, Jie, Manichaikul, Ani, Warren, Helen R, Ramirez, Julia, Bork-Jensen, Jette, Kårhus, Line L, Goel, Anuj, Sabater-Lleal, Maria, Noordam, Raymond, Sidore, Carlo, Fiorillo, Edoardo, McDaid, Aaron F, Marques-Vidal, Pedro, Wielscher, Matthias, Trompet, Stella, Sattar, Naveed, Møllehave, Line T, Thuesen, Betina H, Munz, Matthias, Zeng, Lingyao, Huang, Jianfeng, Yang, Bin, Poveda, Alaitz, Kurbasic, Azra, Lamina, Claudia, Forer, Lukas, Scholz, Markus, Galesloot, Tessel E., Bradfield, Jonathan P., Daw, E Warwick, Zmuda, Joseph M, Mitchell, Jonathan S, Fuchsberger, Christian, Christensen, Henry, Brody, Jennifer A, Feitosa, Mary F, Wojczynski, Mary K, Preuss, Michael, Mangino, Massimo, Christofidou, Paraskevi, Verweij, Niek, Benjamins, Jan W, Engmann, Jorgen, Kember, Rachel L, Slieker, Roderick C, Lo, Ken Sin, Zilhao, Nuno R, Le, Phuong, Kleber, Marcus E, Delgado, Graciela E, Huo, Shaofeng, Ikeda, Daisuke D, Iha, Hiroyuki, Yang, Jian, Liu, Jun, Leonard, Hampton L, Marten, Jonathan, Schmidt, Börge, Arendt, Marina, Smyth, Laura J, Cañadas-Garre, Marisa, Wang, Chaolong, Nakatochi, Masahiro, Wong, Andrew, Hutri-Kähönen, Nina, Sim, Xueling, Xia, Rui, Huerta-Chagoya, Alicia, Fernandez-Lopez, Juan Carlos, Lyssenko, Valeriya, Ahmed, Meraj, Jackson, Anne U, Irvin, Marguerite R, Oldmeadow, Christopher, Kim, Han-Na, Ryu, Seungho, Timmers, Paul RHJ, Arbeeva, Liubov, Dorajoo, Rajkumar, Lange, Leslie A, Chai, Xiaoran, Prasad, Gauri, Lorés-Motta, Laura, Pauper, Marc, Long, Jirong, Li, Xiaohui, Theusch, Elizabeth, Takeuchi, Fumihiko, Spracklen, Cassandra N, Loukola, Anu, Bollepalli, Sailalitha, Warner, Sophie C, Wang, Ya Xing, Wei, Wen B., Nutile, Teresa, Ruggiero, Daniela, Sung, Yun Ju, Hung, Yi-Jen, Chen, Shufeng, Liu, Fangchao, Yang, Jingyun, Kentistou, Katherine A, Gorski, Mathias, Brumat, Marco, Meidtner, Karina, Bielak, Lawrence F, Smith, Jennifer A, Hebbar, Prashantha, Farmaki, Aliki-Eleni, Hofer, Edith, Lin, Maoxuan, Xue, Chao, Zhang, Jifeng, Concas, Maria Pina, Vaccargiu, Simona, van der Most, Peter J, Pitkänen, Niina, Cade, Brian E, Lee, Jiwon, van der Laan, Sander W., Chitrala, Kumaraswamy Naidu, Weiss, Stefan, Zimmermann, Martina E, Lee, Jong Young, Choi, Hyeok Sun, Nethander, Maria, Freitag-Wolf, Sandra, Southam, Lorraine, Rayner, Nigel W, Wang, Carol A, Lin, Shih-Yi, Wang, Jun-Sing, Couture, Christian, Lyytikäinen, Leo-Pekka, Nikus, Kjell, Cuellar-Partida, Gabriel, Vestergaard, Henrik, Hildalgo, Bertha, Giannakopoulou, Olga, Cai, Qiuyin, Obura, Morgan O, van Setten, Jessica, Li, Xiaoyin, Schwander, Karen, Terzikhan, Natalie, Shin, Jae Hun, Jackson, Rebecca D, Reiner, Alexander P, Martin, Lisa Warsinger, Chen, Zhengming, Li, Liming, Highland, Heather M, Young, Kristin L, Kawaguchi, Takahisa, Thiery, Joachim, Bis, Joshua C, Nadkarni, Girish N., Launer, Lenore J, Li, Huaixing, Nalls, Mike A, Raitakari, Olli T, Ichihara, Sahoko, Wild, Sarah H, Nelson, Christopher P, Campbell, Harry, Jäger, Susanne, Nabika, Toru, Al-Mulla, Fahd, Niinikoski, Harri, Braund, Peter S, Kolcic, Ivana, Kovacs, Peter, Giardoglou, Tota, Katsuya, Tomohiro, Bhatti, Konain Fatima, de Kleijn, Dominique, de Borst, Gert J., Kim, Eung Kweon, Adams, Hieab H.H., Ikram, M. Arfan, Zhu, Xiaofeng, Asselbergs, Folkert W, Kraaijeveld, Adriaan O, Beulens, Joline WJ, Shu, Xiao-Ou, Rallidis, Loukianos S, Pedersen, Oluf, Hansen, Torben, Mitchell, Paul, Hewitt, Alex W, Kähönen, Mika, Pérusse, Louis, Bouchard, Claude, Tönjes, Anke, Chen, Yii-Der Ida, Pennell, Craig E, Mori, Trevor A, Lieb, Wolfgang, Franke, Andre, Ohlsson, Claes, Mellström, Dan, Cho, Yoon Shin, Lee, Hyejin, Yuan, Jian-Min, Koh, Woon-Puay, Rhee, Sang Youl, Woo, Jeong-Taek, Heid, Iris M, Stark, Klaus J, Völzke, Henry, Homuth, Georg, Evans, Michele K, Zonderman, Alan B, Polasek, Ozren, Pasterkamp, Gerard, Hoefer, Imo E, Redline, Susan, Pahkala, Katja, Oldehinkel, Albertine J, Snieder, Harold, Biino, Ginevra, Schmidt, Reinhold, Schmidt, Helena, Chen, Y Eugene, Bandinelli, Stefania, Dedoussis, George, Thanaraj, Thangavel Alphonse, Kardia, Sharon LR, Kato, Norihiro, Schulze, Matthias B, Girotto, Giorgia, Jung, Bettina, Böger, Carsten A, Joshi, Peter K, Bennett, David A, De Jager, Philip L, Lu, Xiangfeng, Mamakou, Vasiliki, Brown, Morris, Caulfield, Mark J, Munroe, Patricia B, Guo, Xiuqing, Ciullo, Marina, Jonas, Jost B., Samani, Nilesh J, Chasman, Daniel I., Kaprio, Jaakko, Pajukanta, Päivi, Tusié-Luna, Teresa, Aguilar-Salinas, Carlos A, Adair, Linda S, Bechayda, Sonny Augustin, de Silva, H. Janaka, Wickremasinghe, Ananda R, Krauss, Ronald M, Wu, Jer-Yuarn, Zheng, Wei, den Hollander, Anneke I, Bharadwaj, Dwaipayan, Correa, Adolfo, Wilson, James G, Lind, Lars, Heng, Chew-Kiat, Nelson, Amanda E, Golightly, Yvonne M, Wilson, James F, Penninx, Brenda, Kim, Hyung-Lae, Attia, John, Scott, Rodney J, Rao, D C, Arnett, Donna K, Walker, Mark, Koistinen, Heikki A, Chandak, Giriraj R, Yajnik, Chittaranjan S, Mercader, Josep M, Tusie-Luna, Teresa, Aguilar-Salinas, Carlos, Villalpando, Clicerio Gonzalez, Orozco, Lorena, Fornage, Myriam, Tai, E Shyong, van Dam, Rob M, Lehtimäki, Terho, Chaturvedi, Nish, Yokota, Mitsuhiro, Liu, Jianjun, Reilly, Dermot F, McKnight, Amy Jayne, Kee, Frank, Jöckel, Karl-Heinz, McCarthy, Mark I, Palmer, Colin NA, Vitart, Veronique, Hayward, Caroline, Simonsick, Eleanor, van Duijn, Cornelia M, Lu, Fan, Qu, Jia, Hishigaki, Haretsugu, Lin, Xu, März, Winfried, Parra, Esteban J, Cruz, Miguel, Gudnason, Vilmundur, Tardif, Jean-Claude, Lettre, Guillaume, Hart, Leen M t, Elders, Petra JM, Rader, Daniel J, Damrauer, Scott M, Kumari, Meena, Kivimaki, Mika, van der Harst, Pim, Spector, Tim D, Loos, Ruth J.F., Province, Michael A, Psaty, Bruce M, Brandslund, Ivan, Pramstaller, Peter P, Christensen, Kaare, Ripatti, Samuli, Widén, Elisabeth, Hakonarson, Hakon, Grant, Struan F.A., Kiemeney, Lambertus ALM, de Graaf, Jacqueline, Loeffler, Markus, Kronenberg, Florian, Gu, Dongfeng, Erdmann, Jeanette, Schunkert, Heribert, Franks, Paul W, Linneberg, Allan, Jukema, J. Wouter, Khera, Amit V, Männikkö, Minna, Jarvelin, Marjo-Riitta, Kutalik, Zoltan, Cucca, Francesco, Mook-Kanamori, Dennis O, van Dijk, Ko Willems, Watkins, Hugh, Strachan, David P, Grarup, Niels, Sever, Peter, Poulter, Neil, Rotter, Jerome I, Dantoft, Thomas M, Karpe, Fredrik, Neville, Matt J, Timpson, Nicholas J, Cheng, Ching-Yu, Wong, Tien-Yin, Khor, Chiea Chuen, Sabanayagam, Charumathi, Peters, Annette, Gieger, Christian, Hattersley, Andrew T, Pedersen, Nancy L, Magnusson, Patrik KE, Boomsma, Dorret I, de Geus, Eco JC, Cupples, L Adrienne, van Meurs, Joyce B.J., Ghanbari, Mohsen, Gordon-Larsen, Penny, Huang, Wei, Kim, Young Jin, Tabara, Yasuharu, Wareham, Nicholas J, Langenberg, Claudia, Zeggini, Eleftheria, Kuusisto, Johanna, Laakso, Markku, Ingelsson, Erik, Abecasis, Goncalo, Chambers, John C, Kooner, Jaspal S, de Vries, Paul S, Morrison, Alanna C, North, Kari E., Daviglus, Martha, Kraft, Peter, Martin, Nicholas G, Whitfield, John B, Abbas, Shahid, Saleheen, Danish, Walters, Robin G, Holmes, Michael V, Black, Corri, Smith, Blair H, Justice, Anne E, Baras, Aris, Buring, Julie E, Ridker, Paul M, Chasman, Daniel I, Kooperberg, Charles, Wei, Wei-Qi, Jarvik, Gail P, Namjou, Bahram, Hayes, M. Geoffrey, Ritchie, Marylyn D, Jousilahti, Pekka, Salomaa, Veikko, Hveem, Kristian, Åsvold, Bjørn Olav, Kubo, Michiaki, Kamatani, Yoichiro, Okada, Yukinori, Murakami, Yoshinori, Thorsteinsdottir, Unnur, Stefansson, Kari, Ho, Yuk-Lam, Lynch, Julie A, Rader, Daniel, Tsao, Phil S, Chang, Kyong-Mi, Cho, Kelly, O’Donnell, Christopher J, Gaziano, John M, Wilson, Peter, Rotimi, Charles N, Hazelhurst, Scott, Ramsay, Michèle, Trembath, Richard C, van Heel, David A, Tamiya, Gen, Yamamoto, Masayuki, Kim, Bong-Jo, Mohlke, Karen L, Frayling, Timothy M, Hirschhorn, Joel N, Kathiresan, Sekar, Boehnke, Michael, Natarajan, Pradeep, Peloso, Gina M, Brown, Christopher D, Morris, Andrew P, Assimes, Themistocles L, Deloukas, Panos, Sun, Yan V, Willer, Cristen J, VA Million Veteran Program, Global Lipids Genetics Consortium, Internal Medicine, Epidemiology, Radiology & Nuclear Medicine, Graham, S. E., Clarke, S. L., Wu, K. -H. H., Kanoni, S., Zajac, G. J. M., Ramdas, S., Surakka, I., Ntalla, I., Vedantam, S., Winkler, T. W., Locke, A. E., Marouli, E., Hwang, M. Y., Han, S., Narita, A., Choudhury, A., Bentley, A. R., Ekoru, K., Verma, A., Trivedi, B., Martin, H. C., Hunt, K. A., Hui, Q., Klarin, D., Zhu, X., Thorleifsson, G., Helgadottir, A., Gudbjartsson, D. F., Holm, H., Olafsson, I., Akiyama, M., Sakaue, S., Terao, C., Kanai, M., Zhou, W., Brumpton, B. M., Rasheed, H., Ruotsalainen, S. E., Havulinna, A. S., Veturi, Y., Feng, Q. P., Rosenthal, E. A., Lingren, T., Pacheco, J. A., Pendergrass, S. A., Haessler, J., Giulianini, F., Bradford, Y., Miller, J. E., Campbell, A., Lin, K., Millwood, I. Y., Hindy, G., Rasheed, A., Faul, J. D., Zhao, W., Weir, D. R., Turman, C., Huang, H., Graff, M., Mahajan, A., Brown, M. R., Zhang, W., Yu, K., Schmidt, E. M., Pandit, A., Gustafsson, S., Yin, X., Luan, J., Zhao, J. -H., Matsuda, F., Jang, H. -M., Yoon, K., Medina-Gomez, C., Pitsillides, A., Hottenga, J. J., Willemsen, G., Wood, A. R., Ji, Y., Gao, Z., Haworth, S., Mitchell, R. E., Chai, J. F., Aadahl, M., Yao, J., Manichaikul, A., Warren, H. R., Ramirez, J., Bork-Jensen, J., Karhus, L. L., Goel, A., Sabater-Lleal, M., Noordam, R., Sidore, C., Fiorillo, E., Mcdaid, A. F., Marques-Vidal, P., Wielscher, M., Trompet, S., Sattar, N., Mollehave, L. T., Thuesen, B. H., Munz, M., Zeng, L., Huang, J., Yang, B., Poveda, A., Kurbasic, A., Lamina, C., Forer, L., Scholz, M., Galesloot, T. E., Bradfield, J. P., Daw, E. W., Zmuda, J. M., Mitchell, J. S., Fuchsberger, C., Christensen, H., Brody, J. A., Feitosa, M. F., Wojczynski, M. K., Preuss, M., Mangino, M., Christofidou, P., Verweij, N., Benjamins, J. W., Engmann, J., Kember, R. L., Slieker, R. C., Lo, K. S., Zilhao, N. R., Le, P., Kleber, M. E., Delgado, G. E., Huo, S., Ikeda, D. D., Iha, H., Yang, J., Liu, J., Leonard, H. L., Marten, J., Schmidt, B., Arendt, M., Smyth, L. J., Canadas-Garre, M., Wang, C., Nakatochi, M., Wong, A., Hutri-Kahonen, N., Sim, X., Xia, R., Huerta-Chagoya, A., Fernandez-Lopez, J. C., Lyssenko, V., Ahmed, M., Jackson, A. U., Irvin, M. R., Oldmeadow, C., Kim, H. -N., Ryu, S., Timmers, P. R. H. J., Arbeeva, L., Dorajoo, R., Lange, L. A., Chai, X., Prasad, G., Lores-Motta, L., Pauper, M., Long, J., Li, X., Theusch, E., Takeuchi, F., Spracklen, C. N., Loukola, A., Bollepalli, S., Warner, S. C., Wang, Y. X., Wei, W. B., Nutile, T., Ruggiero, D., Sung, Y. J., Hung, Y. -J., Chen, S., Liu, F., Kentistou, K. A., Gorski, M., Brumat, M., Meidtner, K., Bielak, L. F., Smith, J. A., Hebbar, P., Farmaki, A. -E., Hofer, E., Lin, M., Xue, C., Zhang, J., Concas, M. P., Vaccargiu, S., van der Most, P. J., Pitkanen, N., Cade, B. E., Lee, J., van der Laan, S. W., Chitrala, K. N., Weiss, S., Zimmermann, M. E., Lee, J. Y., Choi, H. S., Nethander, M., Freitag-Wolf, S., Southam, L., Rayner, N. W., Wang, C. A., Lin, S. -Y., Wang, J. -S., Couture, C., Lyytikainen, L. -P., Nikus, K., Cuellar-Partida, G., Vestergaard, H., Hildalgo, B., Giannakopoulou, O., Cai, Q., Obura, M. O., van Setten, J., Schwander, K., Terzikhan, N., Shin, J. H., Jackson, R. D., Reiner, A. P., Martin, L. W., Chen, Z., Li, L., Highland, H. M., Young, K. L., Kawaguchi, T., Thiery, J., Bis, J. C., Nadkarni, G. N., Launer, L. J., Li, H., Nalls, M. A., Raitakari, O. T., Ichihara, S., Wild, S. H., Nelson, C. P., Campbell, H., Jager, S., Nabika, T., Al-Mulla, F., Niinikoski, H., Braund, P. S., Kolcic, I., Kovacs, P., Giardoglou, T., Katsuya, T., Bhatti, K. F., de Kleijn, D., de Borst, G. J., Kim, E. K., Adams, H. H. H., Ikram, M. A., Asselbergs, F. W., Kraaijeveld, A. O., Beulens, J. W. J., Shu, X. -O., Rallidis, L. S., Pedersen, O., Hansen, T., Mitchell, P., Hewitt, A. W., Kahonen, M., Perusse, L., Bouchard, C., Tonjes, A., Chen, Y. -D. I., Pennell, C. E., Mori, T. A., Lieb, W., Franke, A., Ohlsson, C., Mellstrom, D., Cho, Y. S., Lee, H., Yuan, J. -M., Koh, W. -P., Rhee, S. Y., Woo, J. -T., Heid, I. M., Stark, K. J., Volzke, H., Homuth, G., Evans, M. K., Zonderman, A. B., Polasek, O., Pasterkamp, G., Hoefer, I. E., Redline, S., Pahkala, K., Oldehinkel, A. J., Snieder, H., Biino, G., Schmidt, R., Schmidt, H., Chen, Y. E., Bandinelli, S., Dedoussis, G., Thanaraj, T. A., Kardia, S. L. R., Kato, N., Schulze, M. B., Girotto, G., Jung, B., Boger, C. A., Joshi, P. K., Bennett, D. A., De Jager, P. L., Lu, X., Mamakou, V., Brown, M., Caulfield, M. J., Munroe, P. B., Guo, X., Ciullo, M., Jonas, J. B., Samani, N. J., Kaprio, J., Pajukanta, P., Adair, L. S., Bechayda, S. A., de Silva, H. J., Wickremasinghe, A. R., Krauss, R. M., Wu, J. -Y., Zheng, W., den Hollander, A. I., Bharadwaj, D., Correa, A., Wilson, J. G., Lind, L., Heng, C. -K., Nelson, A. E., Golightly, Y. M., Wilson, J. F., Penninx, B., Kim, H. -L., Attia, J., Scott, R. J., Rao, D. C., Arnett, D. K., Walker, M., Koistinen, H. A., Chandak, G. R., Yajnik, C. S., Mercader, J. M., Tusie-Luna, T., Aguilar-Salinas, C. A., Villalpando, C. G., Orozco, L., Fornage, M., Tai, E. S., van Dam, R. M., Lehtimaki, T., Chaturvedi, N., Yokota, M., Reilly, D. F., Mcknight, A. J., Kee, F., Jockel, K. -H., Mccarthy, M. I., Palmer, C. N. A., Vitart, V., Hayward, C., Simonsick, E., van Duijn, C. M., Lu, F., Qu, J., Hishigaki, H., Lin, X., Marz, W., Parra, E. J., Cruz, M., Gudnason, V., Tardif, J. -C., Lettre, G., 't Hart, L. M., Elders, P. J. M., Damrauer, S. M., Kumari, M., Kivimaki, M., van der Harst, P., Spector, T. D., Loos, R. J. F., Province, M. A., Psaty, B. M., Brandslund, I., Pramstaller, P. P., Christensen, K., Ripatti, S., Widen, E., Hakonarson, H., Grant, S. F. A., Kiemeney, L. A. L. M., de Graaf, J., Loeffler, M., Kronenberg, F., Gu, D., Erdmann, J., Schunkert, H., Franks, P. W., Linneberg, A., Jukema, J. W., Khera, A. V., Mannikko, M., Jarvelin, M. -R., Kutalik, Z., Cucca, F., Mook-Kanamori, D. O., van Dijk, K. W., Watkins, H., Strachan, D. P., Grarup, N., Sever, P., Poulter, N., Rotter, J. I., Dantoft, T. M., Karpe, F., Neville, M. J., Timpson, N. J., Cheng, C. -Y., Wong, T. -Y., Khor, C. C., Sabanayagam, C., Peters, A., Gieger, C., Hattersley, A. T., Pedersen, N. L., Magnusson, P. K. E., Boomsma, D. I., de Geus, E. J. C., Cupples, L. A., van Meurs, J. B. J., Ghanbari, M., Gordon-Larsen, P., Huang, W., Kim, Y. J., Tabara, Y., Wareham, N. J., Langenberg, C., Zeggini, E., Kuusisto, J., Laakso, M., Ingelsson, E., Abecasis, G., Chambers, J. C., Kooner, J. S., de Vries, P. S., Morrison, A. C., North, K. E., Daviglus, M., Kraft, P., Martin, N. G., Whitfield, J. B., Abbas, S., Saleheen, D., Walters, R. G., Holmes, M. V., Black, C., Smith, B. H., Justice, A. E., Baras, A., Buring, J. E., Ridker, P. M., Chasman, D. I., Kooperberg, C., Wei, W. -Q., Jarvik, G. P., Namjou, B., Hayes, M. G., Ritchie, M. D., Jousilahti, P., Salomaa, V., Hveem, K., Asvold, B. O., Kubo, M., Kamatani, Y., Okada, Y., Murakami, Y., Thorsteinsdottir, U., Stefansson, K., Ho, Y. -L., Lynch, J. A., Rader, D. J., Tsao, P. S., Chang, K. -M., Cho, K., O'Donnell, C. J., Gaziano, J. M., Wilson, P., Rotimi, C. N., Hazelhurst, S., Ramsay, M., Trembath, R. C., van Heel, D. A., Tamiya, G., Yamamoto, M., Kim, B. -J., Mohlke, K. L., Frayling, T. M., Hirschhorn, J. N., Kathiresan, S., Boehnke, M., Natarajan, P., Peloso, G. M., Brown, C. D., Morris, A. P., Assimes, T. L., Deloukas, P., Sun, Y. V., Willer, C. J., Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Cardiovascular Centre (CVC), Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, APH - Mental Health, APH - Methodology, AMS - Ageing & Vitality, and AMS - Sports
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blood lipid level ,Multifactorial Inheritance ,GWAS ,blood lipid levels ,cardiovascular disease ,Vascular damage Radboud Institute for Health Sciences [Radboudumc 16] ,Medizin ,LOCI ,ANCESTRY ,VARIANTS ,Polymorphism, Single Nucleotide ,Linkage Disequilibrium ,Sensory disorders Donders Center for Medical Neuroscience [Radboudumc 12] ,Article ,Population Groups ,SDG 3 - Good Health and Well-being ,Humans ,Genetic Predisposition to Disease ,METAANALYSIS ,POLYMORPHISMS ,RISK ,Multidisciplinary ,Cardiovascular Diseases ,Genome-Wide Association Study ,Cardiovascular Diseases/genetics ,Genetic Predisposition to Disease/genetics ,Genome-Wide Association Study/methods ,Polymorphism, Single Nucleotide/genetics ,CHOLESTEROL ,Human Genetics ,INDIVIDUALS ,Urological cancers Radboud Institute for Health Sciences [Radboudumc 15] ,DISCOVERY ,LOW-FREQUENCY ,Delivery of Health Care - Abstract
Increased blood lipid levels are heritable risk factors of cardiovascular disease with varied prevalence worldwide owing to different dietary patterns and medication use 1 . Despite advances in prevention and treatment, in particular through reducing low-density lipoprotein cholesterol levels 2 , heart disease remains the leading cause of death worldwide 3 . Genome-wideassociation studies (GWAS) of blood lipid levels have led to important biological and clinical insights, as well as new drug targets, for cardiovascular disease. However, most previous GWAS 4-23 have been conducted in European ancestry populations and may have missed genetic variants that contribute to lipid-level variation in other ancestry groups. These include differences in allele frequencies, effect sizes and linkage-disequilibrium patterns 24 . Here we conduct a multi-ancestry, genome-wide genetic discovery meta-analysis of lipid levels in approximately 1.65 million individuals, including 350,000 of non-European ancestries. We quantify the gain in studying non-European ancestries and provide evidence to support the expansion of recruitment of additional ancestries, even with relatively small sample sizes. We find that increasing diversity rather than studying additional individuals of European ancestry results in substantial improvements in fine-mapping functional variants and portability of polygenic prediction (evaluated in approximately 295,000 individuals from 7 ancestry groupings). Modest gains in the number of discovered loci and ancestry-specific variants were also achieved. As GWAS expand emphasis beyond the identification of genes and fundamental biology towards the use of genetic variants for preventive and precision medicine 25 , we anticipate that increased diversity of participants will lead to more accurate and equitable 26 application of polygenic scores in clinical practice.
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- 2021
189. SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe
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Hageman, S., Pennells, L., Ojeda, F., Kaptoge, S., Kuulasmaa, K., Vries, T. de, Xu, Z., Kee, F., Chung, R., Wood, A., McEvoy, J.W., Veronesi, G., Bolton, T., Dendale, P., Ference, B.A., Halle, M., Timmis, A., Vardas, P., Danesh, J., Graham, I., Salomaa, V., Visseren, F., Bacquer, D. de, Blankenberg, S., Dorresteijn, J., Angelantonio, E. di, Achenbach, S., Aleksandrova, K., Amiano, P., Amouyel, P., Andersson, J., Bakker, S.J.L., Costa, R.B.D., Beulens, J.W.J., Blaha, M., Bobak, M., Boer, J.M.A., Bonet, C., Bonnet, F., Boutron-Ruault, M.C., Braaten, T., Brenner, H., Brunner, F., Brunner, E.J., Brunstrom, M., Buring, J., Butterworth, A.S., Capkova, N., Cesana, G., Chrysohoou, C., Colorado-Yohar, S., Cook, N.R., Cooper, C., Dahm, C.C., Davidson, K., Dennison, E., Castelnuovo, A. di, Donfrancesco, C., Dorr, M., Dorynska, A., Eliasson, M., Engstrom, G., Ferrari, P., Ferrario, M., Ford, I., Fu, M., Gansevoort, R.T., Giampaoli, S., Gillum, R.F., Camara, A.G. de la, Grassi, G., Hansson, P.O., Huculeci, R., Hveem, K., Iacoviello, L., Ikram, M.K., Jorgensen, T., Joseph, B., Jousilahti, P., Jukema, J.W., Kaaks, R., Katzke, V., Kavousi, M., Kiechl, S., Klotsche, J., Konig, W., Kronmal, R.A., Kubinova, R., Kucharska-Newton, A., Lall, K., Lehmann, N., Leistner, D., Linneberg, A., Pablos, D.L., Lorenz, T., Lu, W.T., Luksiene, D., Lyngbakken, M., Magnussen, C., Malyutina, S., Ibanez, A.M., Masala, G., Mathiesen, E.B., Matsushita, K., Meade, T.W., Melander, O., Meyer, H.E., Moons, K.G.M., Moreno-Iribas, C., Muller, D., Munzel, T., Nikitin, Y., Nordestgaard, B.G., Omland, T., Onland, C., Overvad, K., Packard, C., Pajak, A., Palmieri, L., Panagiotakos, D., Panico, S., Perez-Cornago, A., Peters, A., Pietila, A., Pikhart, H., Psaty, B.M., Quarti-Trevano, F., Garcia, J.R.Q., Riboli, E., Ridker, P.M., Rodriguez, B., Rodriguez-Barranco, M., Rosengren, A., Roussel, R., Sacerdote, C., Sans, S., Sattar, N., Schiborn, C., Schmidt, B., Schottker, B., Schulze, M., Schwartz, J.E., Selmer, R.M., Shea, S., Shipley, M.J., Sieri, S., Soderberg, S., Sofat, R., Tamosiunas, A., Thorand, B., Tillmann, T., Tjonneland, A., Tong, T.Y.N., Trichopoulou, A., Tumino, R., Tunstall-Pedoe, H., Tybjaerg-Hansen, A., Tzoulaki, J., Heijden, A. van der, Schouw, Y.T. van der, Verschuren, W.M.M., Volzke, H., Waldeyer, C., Wareham, N.J., Weiderpass, E., Weidinger, F., Wild, P., Willeit, J., Willeit, P., Wilsgaard, T., Woodward, M., Zeller, T., Zhang, D.D., Zhou, B., SCORE2 Working Grp, ESC Cardiovasc Risk Collaboration, collaboration, SCORE2 working group and ESC Cardiovascular risk, Groningen Institute for Organ Transplantation (GIOT), Groningen Kidney Center (GKC), Cardiovascular Centre (CVC), Epidemiology, Neurology, Achenbach, S, Aleksandrova, K, Amiano, P, San Sebastian, D, Amouyel, P, Andersson, J, Bakker, S, Da Providencia Costa, R, Beulens, J, Blaha, M, Bobak, M, Boer, J, Bonet, C, Bonnet, F, Boutron-Ruault, M, Braaten, T, Brenner, H, Brunner, F, Brunner, E, Brunström, M, Buring, J, Butterworth, A, Capkova, N, Cesana, G, Chrysohoou, C, Colorado-Yohar, S, Cook, N, Cooper, C, Dahm, C, Davidson, K, Dennison, E, Di Castelnuovo, A, Donfrancesco, C, Dörr, M, Doryńska, A, Eliasson, M, Engström, G, Ferrari, P, Ferrario, M, Ford, I, Fu, M, Gansevoort, R, Giampaoli, S, Gillum, R, Gómez de la Cámara, A, Grassi, G, Hansson, P, Huculeci, R, Hveem, K, Iacoviello, L, Ikram, M, Jørgensen, T, Joseph, B, Jousilahti, P, Wouter Jukema, J, Kaaks, R, Katzke, V, Kavousi, M, Kiechl, S, Klotsche, J, König, W, Kronmal, R, Kubinova, R, Kucharska-Newton, A, Läll, K, Lehmann, N, Leistner, D, Linneberg, A, Pablos, D, Lorenz, T, Lu, W, Luksiene, D, Lyngbakken, M, Magnussen, C, Malyutina, S, Ibañez, A, Masala, G, Mathiesen, E, Matsushita, K, Meade, T, Melander, O, Meyer, H, Moons, K, Moreno-Iribas, C, Muller, D, Münzel, T, Nikitin, Y, Nordestgaard, B, Omland, T, Onland, C, Overvad, K, Packard, C, Pająk, A, Palmieri, L, Panagiotakos, D, Panico, S, Perez-Cornago, A, Peters, A, Pietilä, A, Pikhart, H, Psaty, B, Quarti-Trevano, F, Garcia, J, Riboli, E, Ridker, P, Rodriguez, B, Rodriguez-Barranco, M, Rosengren, A, Roussel, R, Sacerdote, C, S, S, Sattar, N, Schiborn, C, Schmidt, B, Schöttker, B, Schulze, M, Schwartz, J, Selmer, R, Shea, S, Shipley, M, Sieri, S, Söderberg, S, Sofat, R, Tamosiunas, A, Thorand, B, Tillmann, T, Tjønneland, A, Tong, T, Trichopoulou, A, Tumino, R, Tunstall-Pedoe, H, Tybjaerg-Hansen, A, Tzoulaki, J, van der Heijden, A, van der Schouw, Y, Verschuren, W, Völzke, H, Waldeyer, C, Wareham, N, Weiderpass, E, Weidinger, F, Wild, P, Willeit, J, Willeit, P, Wilsgaard, T, Woodward, M, Zeller, T, Zhang, D, Zhou, B, and Apollo - University of Cambridge Repository
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Male ,Cardiology ,RATIONALE ,Blood Pressure ,Disease ,030204 cardiovascular system & hematology ,PROFILE ,ACUTE CORONARY EVENTS ,VALIDATION ,Europe/epidemiology ,03 medical and health sciences ,0302 clinical medicine ,SDG 3 - Good Health and Well-being ,DESIGN ,Clinical Research ,Risk Factors ,Diabetes mellitus ,medicine ,PARTICIPANTS ,Humans ,030212 general & internal medicine ,Risk factor ,Aged ,Primary prevention ,business.industry ,10-year CVD risk ,Incidence (epidemiology) ,Cardiovascular Diseases/epidemiology ,Risk Prediction ,Cardiovascular Disease ,Primary Prevention ,10-year Cvd Risk ,External validation ,PRIMARY-CARE ,Middle Aged ,medicine.disease ,Cardiovascular disease ,Risk prediction ,3. Good health ,Europe ,Prediction algorithms ,Blood pressure ,Cardiovascular Diseases ,Smoking status ,Female ,Cardiology and Cardiovascular Medicine ,business ,Algorithms ,Demography - Abstract
Aims The aim of this study was to develop, validate, and illustrate an updated prediction model (SCORE2) to estimate 10-year fatal and non-fatal cardiovascular disease (CVD) risk in individuals without previous CVD or diabetes aged 40-69 years in Europe.Methods and results We derived risk prediction models using individual-participant data from 45 cohorts in 13 countries (677 684 individuals, 30 121 CVD events). We used sex-specific and competing risk-adjusted models, including age, smoking status, systolic blood pressure, and total- and HDL-cholesterol. We defined four risk regions in Europe according to country-specific CVD mortality, recalibrating models to each region using expected incidences and risk factor distributions. Region-specific incidence was estimated using CVD mortality and incidence data on 10 776 466 individuals. For external validation, we analysed data from 25 additional cohorts in 15 European countries (1 133 181 individuals, 43 492 CVD events). After applying the derived risk prediction models to external validation cohorts, C-indices ranged from 0.67 (0.65-0.68) to 0.81 (0.76-0.86). Predicted CVD risk varied several-fold across European regions. For example, the estimated 10-year CVD risk for a 50-year-old smoker, with a systolic blood pressure of 140 mmHg, total cholesterol of 5.5 mmol/L, and HDL-cholesterol of 1.3 mmol/L, ranged from 5.9% for men in low- risk countries to 14.0% for men in very high-risk countries, and from 4.2% for women in low-risk countries to 13.7% for women in very high-risk countries.Conclusion SCORE2-a new algorithm derived, calibrated, and validated to predict 10-year risk of first-onset CVD in European populations-enhances the identification of individuals at higher risk of developing CVD across Europe. Acknowledgements We thank investigators and participants of the several studies that contributed data to the Emerging Risk Factors Collaboration (ERFC). This research has been conducted using the UK Biobank Resource under Application Number 26865. Data from the Clinical Practice Research Datalink (CPRD) were obtained under licence from the UK Medicines and Healthcare products Regulatory Agency (protocol 162RMn2). CPRD uses data provided by patients and collected by the NHS as part of their care and support. We thank all EPIC participants and staff for their contribution to the study, the laboratory teams at the Medical Research Council Epidemiology Unit for sample management and Cambridge Genomic Services for genotyping, Sarah Spackman for data management and the team at the EPIC-CVD Coordinating Centre for study co-ordination and administration. Funding The ERFC co-ordinating centre was underpinned by programme grants from the British Heart Foundation (SP/09/002; RG/13/13/30194; RG/18/13/33946), BHF Centre of Research Excellence (RE/18/1/34212), the UK Medical Research Council (MR/L003120/1), and the National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre (BRC1215-20014), with project-specific support received from the UK NIHR [*], British United Provident Association UK Foundation and an unrestricted educational grant from GlaxoSmithKline. A variety of funding sources have supported recruitment, follow-up, and laboratory measurements in the studies contributing data to the ERFC, which are listed on the ERFC website (www.phpc.cam.ac.uk/ceu/erfc/list-of-studies). *The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care. This work was supported by Health Data Research UK, which is funded by the UK Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, Department of Health and Social Care (England), Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Health and Social Care Research and Development Division (Welsh Government), Public Health Agency (Northern Ireland), British Heart Foundation, and Wellcome. The MORGAM Project has received funding from EU projects MORGAM (Biomed BMH4-CT98-3183), GenomEUtwin (FP5, QLG2-CT-2002-01254), ENGAGE (FP7, HEALTH-F4-2007-201413),CHANCES (FP7, HEALTH-F3-2010-242244), BiomarCaRE (FP7,HEALTH-F2-2011-278913), euCanSHare (Horizon 2020, No. 825903) and AFFECT-EU (Horizon 2020, No. 847770); and Medical Research Council, London (G0601463, No. 80983: Biomarkers in the MORGAM Populations). This has supported central coordination, workshops and part of the activities of the MORGAM Data Centre, the MORGAM Laboratories and the MORGAM Participating Centres EPIC-CVD was funded by the European Research Council (268834), and the European Commission Framework Programme 7 (HEALTH-F2-2012-279233). This work was supported by the Estonian Research Council grant PUTs (PRG687, PUT1660, PUT1665, PRG184), by European Union through the European Regional Development Fund project no. MOBERA5 (Norface Network project no 462.16.107), by the Green ICT programme under Norway Grants 2014 – 2021 (grant number EU53928), by the European Union through Horizon 2020 grant no. 810645 and through the European Regional Development Fund (Project No. 2014-2020.4.01.16-0125) and by the PRECISE4Q consortium. PRECISE4Q project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant agreement 777107. This work was partly funded through the CoMorMent project. CoMorMent has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant agreement 847776. The KORA study was initiated and financed by the Helmholtz Zentrum Mu¨nchen—German Research Center for Environmental Health, which is funded by the German Federal Ministry of Education and Research (BMBF) and by the State of Bavaria. The KORA study was supported by a research grant from the Virtual Institute of Diabetes Research (Helmholtz Zentrum Mu¨nchen), the Clinical Cooperation Group Diabetes between Ludwig-Maximilians-Universita¨t Mu¨nchen and Helmholtz Zentrum Mu¨nchen, and by the German Diabetes Center (DDZ). The HAPIEE project, Institute, was supported by grants from the Wellcome Trust (064947/Z/01/Z; WT081081) and US National Institute on Aging (1R01 and AG23522). The co-ordination of EPIC is financially supported by International Agency for Research on Cancer (IARC) and also by the Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, which has additional infrastructure support provided by the NIHR Imperial Biomedical Research Centre (BRC). The national cohorts are supported by: Danish Cancer Society (Denmark); Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle Ge´ne´rale de l’Education Nationale, Institut National de la Sante´ et de la Recherche Me´dicale (INSERM) (France); German Cancer Aid, German Cancer Research Center (DKFZ), German Institute of Human Nutrition Potsdam Rehbruecke (DIfE), Federal Ministry of Education and Research (BMBF) (Germany); Associazione Italiana per la Ricerca sul Cancro-AIRC-Italy, Compagnia di SanPaolo and National Research Council (Italy); Dutch 2448 SCORE2 working group and ESC Cardiovascular Risk Collaboration Ministry of Public Health, Welfare and Sports (VWS), Netherlands Cancer Registry (NKR), LK Research Funds, Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), World Cancer Research Fund (WCRF), Statistics Netherlands (The Netherlands); Health Research Fund (FIS)—Instituto de Salud Carlos III (ISCIII), Regional Governments of Andalucı´a, Asturias, Basque Country, Murcia and Navarra, and the Catalan Institute of Oncology—ICO (Spain); Swedish Cancer Society, Swedish Research Council and County Councils of Ska˚ne and Va¨sterbotten (Sweden); Cancer Research UK (14136 to EPIC-Norfolk; C8221/A29017 to EPIC-Oxford), Medical Research Council (1000143 to EPIC-Norfolk; MR/M012190/1 to EPIC-Oxford) (United Kingdom)
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- 2021
190. Effectiveness and cost-effectiveness of 3-monthly versus 6-monthly monitoring of well-controlled type 2 diabetes patients: a pragmatic randomised controlled patient-preference equivalence trial in primary care ( EFFIMODI study).
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Wermeling, P. R., Gorter, K. J., Stellato, R. K., de Wit, G. A., Beulens, J. W. J., and Rutten, G. E. H. M.
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PEOPLE with diabetes , *PRIMARY care , *ANTIHYPERTENSIVE agents , *PATIENT monitoring , *HEALTH outcome assessment , *RANDOMIZED controlled trials - Abstract
Aim To investigate effectiveness and cost-effectiveness of 6-monthly monitoring compared with 3-monthly monitoring of well-controlled type 2 diabetes patients in primary care. Methods A pragmatic randomised controlled patient-preference equivalence trial was performed. From April 2009 to August 2010, 2215 patients from 233 general practitioners across the Netherlands were included. Patients were eligible if between 40- and 80-years-old, diagnosed with type 2 diabetes for more than a year, treated by their general practitioner, not on insulin treatment and well-controlled during the last year ( HbA1c ≤58 mmol/mol, systolic blood pressure ≤145 mmHg and total cholesterol ≤5.2 mmol/l). Patients without a strong preference for their monitoring frequency were randomised to 3-monthly or 6-monthly monitoring. Follow-up was 18 months. The primary outcome is the percentage of patients remaining under: HbA1c ≤58 mmol/mol, systolic blood pressure ≤145 mmHg and total cholesterol ≤5.2 mmol/l. Equivalence was assumed if the two-sided 95% confidence interval (CI) was between −5 and 5%. Cost-effectiveness was determined using a cost-minimisation analysis. Results In the 3-monthly group 69.5% remained under good cardiometabolic control, versus 69.8% in the 6-monthly group (difference: 0.3%; 95% CI: −6.2-6.7%). All secondary outcomes were equivalent for 3-monthly and 6-monthly monitoring, except the systolic blood pressure target, physical activity and antihypertensive drug use. Six-monthly monitoring was €387 (£333) cheaper per patient compared to 3-monthly monitoring during the study period. Conclusions Patients with good cardiometabolic control and without preference for their monitoring frequency can visit the primary care physician less often. The cost-savings can be considerable. [ABSTRACT FROM AUTHOR]
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- 2014
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191. Intensification of medication and glycaemic control among patients with type 2 diabetes - the ADVANCE trial.
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van Dieren, S., Kengne, A. P., Chalmers, J., Beulens, J. W. J., Davis, T. M. E., Fulcher, G., Heller, S. R., Patel, A., Colagiuri, S., Hamet, P., Mancia, G., Marre, M., Neal, B., Williams, B., Peelen, L. M., van der Schouw, Y. T., Woodward, M., and Zoungas, S.
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GLYCEMIC index , *TYPE 2 diabetes , *BLOOD sugar , *TREATMENT of diabetes , *STANDARD deviations - Abstract
Aims The aim of this study was to assess associations between patient characteristics, intensification of blood glucose-lowering treatment through oral glucose-lowering therapy and/or insulin and effective glycaemic control in type 2 diabetes. Methods 11 140 patients from the Action in Diabetes and Vascular disease: preterAx and diamicroN-MR Controlled Evaluation ( ADVANCE) trial who were randomized to intensive glucose control or standard glucose control and followed up for a median of 5 years were categorized into two groups: effective glycaemic control [haemoglobin A1c ( HbA1c) ≤ 7.0% or a proportionate reduction in HbA1c over 10%] or ineffective glycaemic control ( HbA1c > 7.0% and a proportionate reduction in HbA1c less than or equal to 10%). Therapeutic intensification was defined as addition of an oral glucose-lowering agent or commencement of insulin. Pooled logistic regression models examined the associations between patient factors, intensification and effective glycaemic control. Results A total of 7768 patients (69.7%), including 3198 in the standard treatment group achieved effective glycaemic control. Compared to patients with ineffective control, patients with effective glycaemic control had shorter duration of diabetes and lower HbA1c at baseline and at the time of treatment intensification. Treatment intensification with addition of an oral agent or commencement of insulin was associated with a 107% [odds ratio, OR: 2.07 (95% confidence interval, CI: 1.95-2.20)] and 152% [ OR: 2.52 (95% CI: 2.30-2.77)] greater chance of achieving effective glycaemic control, respectively. These associations were robust after adjustment for several baseline characteristics and not modified by the number of oral medications taken at the time of treatment intensification. Conclusions Effective glycaemic control was associated with treatment intensification at lower HbA1c levels at all stages of the disease course and in both arms of the ADVANCE trial. [ABSTRACT FROM AUTHOR]
- Published
- 2014
- Full Text
- View/download PDF
192. Dietary vitamin D intake and risk of type 2 diabetes in the European Prospective Investigation into Cancer and Nutrition: the EPIC-InterAct study.
- Author
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Abbas, S, Linseisen, J, Rohrmann, S, Beulens, J W J, Buijsse, B, Amiano, P, Ardanaz, E, Balkau, B, Boeing, H, Clavel-Chapelon, F, Fagherazzi, G, Franks, P W, Gavrila, D, Grioni, S, Kaaks, R, Key, T J, Khaw, K T, Kühn, T, Mattiello, A, and Molina-Montes, E
- Subjects
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VITAMIN D in human nutrition , *TYPE 2 diabetes risk factors , *TYPE 2 diabetes , *PEOPLE with diabetes , *TYPE 2 diabetes -- Nutritional aspects , *BLOOD serum analysis - Abstract
Background/Objectives:Prospective cohort studies have indicated that serum vitamin D levels are inversely related to risk of type 2 diabetes. However, such studies cannot determine the source of vitamin D. Therefore, we examined the association of dietary vitamin D intake with incident type 2 diabetes within the European Prospective Investigation into Cancer and Nutrition (EPIC)-InterAct study in a heterogeneous European population including eight countries with large geographical variation.Subjects/Methods:Using a case-cohort design, 11 245 incident cases of type 2 diabetes and a representative subcohort (N=15 798) were included in the analyses. Hazard ratios (HR) and 95% confidence intervals (CIs) for type 2 diabetes were calculated using a Prentice-weighted Cox regression adjusted for potential confounders. Twenty-four-hour diet-recall data from a subsample (N=2347) were used to calibrate habitual intake data derived from dietary questionnaires.Results:Median follow-up time was 10.8 years. Dietary vitamin D intake was not significantly associated with the risk of type 2 diabetes. HR and 95% CIs for the highest compared to the lowest quintile of uncalibrated vitamin D intake was 1.09 (0.97-1.22) (Ptrend=0.17). No associations were observed in a sex-specific analysis. The overall pooled effect (HR (95% CI)) using the continuous calibrated variable was 1.00 (0.97-1.03) per increase of 1 μg/day dietary vitamin D.Conclusions:This observational study does not support an association between higher dietary vitamin D intake and type 2 diabetes incidence. This result has to be interpreted in light of the limited contribution of dietary vitamin D on the overall vitamin D status of a person. [ABSTRACT FROM AUTHOR]
- Published
- 2014
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- View/download PDF
193. Fruit and vegetable intake and type 2 diabetes: EPIC-InterAct prospective study and meta-analysis.
- Author
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Cooper, A J, Forouhi, N G, Ye, Z, Buijsse, B, Arriola, L, Balkau, B, Barricarte, A, Beulens, J W J, Boeing, H, Büchner, F L, Dahm, C C, de Lauzon-Guillain, B, Fagherazzi, G, Franks, P W, Gonzalez, C, Grioni, S, Kaaks, R, Key, T J, Masala, G, and Navarro, C
- Subjects
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TYPE 2 diabetes -- Nutritional aspects , *FRUIT , *VEGETABLES in human nutrition , *DIET in disease , *LONGITUDINAL method , *META-analysis , *COHORT analysis - Abstract
Fruit and vegetable intake (FVI) may reduce the risk of type 2 diabetes (T2D), but the epidemiological evidence is inconclusive. The aim of this study is to examine the prospective association of FVI with T2D and conduct an updated meta-analysis. In the European Prospective Investigation into Cancer-InterAct (EPIC-InterAct) prospective case-cohort study nested within eight European countries, a representative sample of 16 154 participants and 12 403 incident cases of T2D were identified from 340 234 individuals with 3.99 million person-years of follow-up. For the meta-analysis we identified prospective studies on FVI and T2D risk by systematic searches of MEDLINE and EMBASE until April 2011. In EPIC-InterAct, estimated FVI by dietary questionnaires varied more than twofold between countries. In adjusted analyses the hazard ratio (95% confidence interval) comparing the highest with lowest quartile of reported intake was 0.90 (0.80-1.01) for FVI; 0.89 (0.76-1.04) for fruit and 0.94 (0.84-1.05) for vegetables. Among FV subtypes, only root vegetables were inversely associated with diabetes 0.87 (0.77-0.99). In meta-analysis using pooled data from five studies including EPIC-InterAct, comparing the highest with lowest category for FVI was associated with a lower relative risk of diabetes (0.93 (0.87-1.00)). Fruit or vegetables separately were not associated with diabetes. Among FV subtypes, only green leafy vegetable (GLV) intake (relative risk: 0.84 (0.74-0.94)) was inversely associated with diabetes. Subtypes of vegetables, such as root vegetables or GLVs may be beneficial for the prevention of diabetes, while total FVI may exert a weaker overall effect. [ABSTRACT FROM AUTHOR]
- Published
- 2012
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194. Weight changes and their predictors amongst 11 140 patients with type 2 diabetes in the ADVANCE trial.
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van Dieren, S., Czernichow, S., Chalmers, J., Kengne, A. P., de Galan, B. E., Poulter, N., Woodward, M., Beulens, J. W. J., Grobbee, D. E., van der Schouw, Y. T., and Zoungas, S.
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HYPOGLYCEMIC agents , *HEMOGLOBINS , *DIABETES complications , *REGRESSION analysis , *INSULIN , *THIAZOLIDINEDIONES - Abstract
Aims: To determine the baseline characteristics and glucose-lowering therapies associated with weight change among patients with type 2 diabetes. Methods: Eleven thousand one hundred and forty participants in the ADVANCE trial were randomly assigned to an intensive [aiming for a haemoglobin A1c (HbA1c) ≤6.5%] or a standard blood glucose-control strategy. Weight was measured at baseline and every 6 months over a median follow-up of 5 years. Multivariable linear regression and linear-mixed effect models were used to examine predictors of weight change. Results: The mean difference in weight between the intensive and standard glucose-control arm during follow-up was 0.75 kg (95% CI: 0.56-0.94), p-value <0.001. The mean weight decreased by 0.70 kg (95% CI: 0.53-0.87), p < 0.001 by the end of follow-up in the standard arm but remained stable in the intensive arm, with a non-significant gain of 0.16 kg (95% CI: −0.02 to 0.34), p = 0.075. Baseline factors associated with weight gain were younger age, higher HbA1c, Caucasian ethnicity and number of glucose-lowering medications. Treatment combinations including insulin [3.22 kg (95% CI: 2.92-3.52)] and thiazolidinediones [3.06 kg (95% CI: 2.69-3.43)] were associated with the greatest weight gain while treatment combinations including sulphonylureas were associated with less weight gain [0.71 kg (95%CI: 0.39-1.03)]. Conclusions: Intensive glucose-control regimens are not necessarily associated with substantial weight gain. Patient characteristic associated with weight change were age, ethnicity, smoking and HbA1c. The main treatment strategies predicting weight gain were the use of insulin and thiazolidinediones. [ABSTRACT FROM AUTHOR]
- Published
- 2012
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195. Maternal and paternal transmission of type 2 diabetes: influence of diet, lifestyle and adiposity.
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Abbasi, A., Corpeleijn, E., van der Schouw, Y. T., Stolk, R. P., Spijkerman, A. M. W., van der A, D. L., Navis, G., Bakker, S. J. L., and Beulens, J. W. J.
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GENEALOGY , *DIABETES , *DIET , *OBESITY , *QUALITY of life , *ALCOHOL drinking , *SMOKING - Abstract
. Abbasi A, Corpeleijn E, van der Schouw YT, Stolk RP, Spijkerman AMW, van der A DL, Navis G, Bakker SJL, Beulens JWJ (University Medical Center Groningen, Groningen; University Medical Centre Utrecht, Utrecht; and National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands) Maternal and paternal transmission of type 2 diabetes: influence of diet, lifestyle and adiposity. J Intern Med 2011; 270: 388-396. Objective. Transmission of family history of type 2 diabetes to the next generation is stronger for maternal than paternal diabetes in some populations. The aim of the present study was to investigate whether this difference is explained by diet, lifestyle factors and/or adiposity. Methods. We analysed 35 174 participants from the Dutch contribution to the European Prospective Investigation into Cancer and Nutrition, a prospective population-based cohort (aged 20-70 years) with a median follow-up of 10.2 years. Parental history of diabetes was self-reported. Occurrence of diabetes was mainly identified by self-report and verified by medical records. Results. Amongst 35 174 participants, 799 incident cases of diabetes were observed. In age- and sex-adjusted analyses, hazard ratio (HR) and 95% confidence intervals (CIs) for diabetes by maternal and paternal diabetes were 2.66 (2.26-3.14) and 2.40 (1.91-3.02), respectively. Maternal transmission of risk of diabetes was explained by diet (9.4%), lifestyle factors including smoking, alcohol consumption, physical activity and educational level (7.8%) and by adiposity, i.e. body mass index and waist and hip circumference (23.5%). For paternal transmission, the corresponding values were 2.9%, 0.0% and 9.6%. After adjustment for diet, lifestyle factors and adiposity, the HRs for maternal (2.20; 95% CI, 1.87-2.60) and paternal (2.23; 95% CI, 1.77-2.80) transmission of diabetes were comparable. Conclusions. Both maternal and paternal diabetes are associated with increased risk of type 2 diabetes, independently of diet, lifestyle and adiposity. The slightly higher risk conferred by maternal compared to paternal diabetes was explained by a larger contribution of diet, lifestyle factors and adiposity. [ABSTRACT FROM AUTHOR]
- Published
- 2011
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196. Food intake of individuals with and without diabetes across different countries and ethnic groups.
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Nöthlings, U, Boeing, H, Maskarinec, G, Sluik, D, Teucher, B, Kaaks, R, Tjønneland, A, Halkjaer, J, Dethlefsen, C, Overvad, K, Amiano, P, Toledo, E, Bendinelli, B, Grioni, S, Tumino, R, Sacerdote, C, Mattiello, A, Beulens, J W J, Iestra, J A, and Spijkerman, A M W
- Subjects
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INGESTION , *DIET in disease , *ETHNIC groups , *DIET therapy , *TREATMENT of diabetes , *LONGITUDINAL method , *COHORT analysis - Abstract
Background/Objectives:Given the importance of nutrition therapy in diabetes management, we hypothesized that food intake differs between individuals with and without diabetes. We investigated this hypothesis in two large prospective studies including different countries and ethnic groups.Subjects/Methods:Study populations were the European Prospective Investigation into Cancer and Nutrition Study (EPIC) and the Multiethnic Cohort Study (MEC). Dietary intake was assessed by food frequency questionnaires, and calibrated using 24h-recall information for the EPIC Study. Only confirmed self-reports of diabetes at cohort entry were included: 6192 diabetes patients in EPIC and 13 776 in the MEC. For the cross-sectional comparison of food intake and lifestyle variables at baseline, individuals with and without diabetes were matched 1:1 on sex, age in 5-year categories, body mass index in 2.5 kg/m2 categories and country.Results:Higher intake of soft drinks (by 13 and 44% in the EPIC and MEC), and lower consumption of sweets, juice, wine and beer (>10% difference) were observed in participants with diabetes compared with those without. Consumption of vegetables, fish and meat was slightly higher in individuals with diabetes in both studies, but the differences were <10%. Findings were more consistent across different ethnic groups than countries, but generally showed largely similar patterns.Conclusions:Although diabetes patients are expected to undergo nutritional education, we found only small differences in dietary behavior in comparison with cohort members without diabetes. These findings suggest that emphasis on education is needed to improve the current behaviors to assist in the prevention of complications. [ABSTRACT FROM AUTHOR]
- Published
- 2011
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197. Intensification of medication and glycaemic control among patients with type 2 diabetes-The ADVANCE trial
- Author
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Mark Woodward, Michel Marre, Y. T. van der Schouw, Pavel Hamet, Greg Fulcher, Anushka Patel, Simon Heller, John Chalmers, Sophia Zoungas, L. M. Peelen, Bruce Neal, S. van Dieren, G. Mancia, Timothy M. E. Davis, Bryan Williams, Joline W.J. Beulens, Stephen Colagiuri, Andre Pascal Kengne, Epidemiology and Data Science, ACS - Diabetes & metabolism, ACS - Heart failure & arrhythmias, APH - Health Behaviors & Chronic Diseases, van Dieren, S, Kengne, A, Chalmers, J, Beulens, J, Davis, T, Fulcher, G, Heller, S, Patel, A, Colagiuri, S, Hamet, P, Mancia, G, Marre, M, Neal, B, Williams, B, Peelen, L, van der Schouw, Y, Woodward, M, and Zoungas, S
- Subjects
Blood Glucose ,Male ,medicine.medical_specialty ,HbA1c ,Glycated Hemoglobin A ,Logistic Model ,medicine.medical_treatment ,Endocrinology, Diabetes and Metabolism ,Administration, Oral ,Type 2 diabetes ,Type 2 diabete ,Drug Administration Schedule ,Follow-Up Studie ,Endocrinology ,Quality of life ,Diabetes mellitus ,Internal medicine ,Glycaemic control ,medicine ,Internal Medicine ,Humans ,Hypoglycemic Agents ,Glycated Hemoglobin ,Hypoglycemic Agent ,business.industry ,Standard treatment ,Insulin ,Treatment intensification ,Odds ratio ,Middle Aged ,medicine.disease ,Confidence interval ,Logistic Models ,Hemoglobin A ,Treatment Outcome ,Diabetes Mellitus, Type 2 ,Quality of Life ,Female ,Therapy ,business ,Follow-Up Studies ,Human - Abstract
Aims: The aim of this study was to assess associations between patient characteristics, intensification of blood glucose-lowering treatment through oral glucose-lowering therapy and/or insulin and effective glycaemic control in type 2 diabetes. Methods: 11140 patients from the Action in Diabetes and Vascular disease: preterAx and diamicroN-MR Controlled Evaluation (ADVANCE) trial who were randomized to intensive glucose control or standard glucose control and followed up for a median of 5years were categorized into two groups: effective glycaemic control [haemoglobin A1c (HbA1c)≤7.0% or a proportionate reduction in HbA1c over 10%] or ineffective glycaemic control (HbA1c>7.0% and a proportionate reduction in HbA1c less than or equal to 10%). Therapeutic intensification was defined as addition of an oral glucose-lowering agent or commencement of insulin. Pooled logistic regression models examined the associations between patient factors, intensification and effective glycaemic control. Results: A total of 7768 patients (69.7%), including 3198 in the standard treatment group achieved effective glycaemic control. Compared to patients with ineffective control, patients with effective glycaemic control had shorter duration of diabetes and lower HbA1c at baseline and at the time of treatment intensification. Treatment intensification with addition of an oral agent or commencement of insulin was associated with a 107% [odds ratio, OR: 2.07 (95% confidence interval, CI: 1.95-2.20)] and 152% [OR: 2.52 (95% CI: 2.30-2.77)] greater chance of achieving effective glycaemic control, respectively. These associations were robust after adjustment for several baseline characteristics and not modified by the number of oral medications taken at the time of treatment intensification. Conclusions: Effective glycaemic control was associated with treatment intensification at lower HbA1c levels at all stages of the disease course and in both arms of the ADVANCE trial. © 2013 John Wiley & Sons Ltd.
- Published
- 2014
198. Small RNA sequencing reveals snoRNAs and piRNA-019825 as novel players in diabetic kidney disease.
- Author
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't Hart LM, de Klerk JA, Bouland GA, Peerlings JHD, Blom MT, Cramer SJ, Bijkerk R, Beulens JWJ, and Slieker RC
- Subjects
- Humans, Male, Middle Aged, Female, Aged, Albuminuria genetics, MicroRNAs blood, MicroRNAs genetics, Sequence Analysis, RNA, Glomerular Filtration Rate, Piwi-Interacting RNA, Diabetic Nephropathies genetics, Diabetic Nephropathies blood, Diabetes Mellitus, Type 2 genetics, Diabetes Mellitus, Type 2 complications, RNA, Small Nucleolar genetics, RNA, Small Interfering
- Abstract
Introduction: Micro- and macrovascular complications are common among persons with type 2 diabetes. Recently there has been growing interest to investigate the potential of circulating small non-coding RNAs (sncRNAs) as contributors to the development of diabetic complications. In this study we investigate to what extent circulating sncRNAs levels associate with prevalent diabetic kidney disease (DKD) in persons with type 2 diabetes., Methods: Plasma sncRNAs levels were determined using small RNA-seq, allowing detection of miRNAs, snoRNAs, piRNAs, tRNA fragments, and various other sncRNA classes. We tested for differentially expressed sncRNAs in persons with type 2 diabetes, with DKD (n = 69) or without DKD (n = 405). In secondary analyses, we also tested the association with eGFR, albuminuria (UACR), and the plasma proteome., Results: In total seven sncRNAs were negatively associated with prevalent DKD (all P
FDR ≤ 0.05). Including one microRNA (miR-143-5p), five snoRNAs (U8, SNORD118, SNORD24, SNORD107, SNORD87) and a piRNA (piR-019825 | DQ597218). Proteomic analyses showed that the seven sncRNAs, and especially the piRNA piR-019825, were associated with plasma levels of 24 proteins of which several have known associations with kidney function including TNF sR-I (TNFRFS1A), DAN (NBL1) and cystatin C (CST3)., Conclusion: We have identified novel small non-coding RNAs, primarily from classes other than microRNAs, that are associated with diabetic kidney disease. Our results show that the involvement of small non-coding RNAs in DKD goes beyond the already known microRNAs and also involves other classes of sncRNA, in particular snoRNAs and the piRNA piR-019825, that have never been studied before in relation to kidney function., (© 2024. The Author(s).)- Published
- 2024
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199. The effects of nudging and pricing strategies on the availability and purchases of ultra-processed foods: A secondary analysis of the Supreme Nudge trial.
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Mackenbach JD, Pinho MGM, Stuber JM, van der Roest J, Lakerveld J, and Beulens JWJ
- Subjects
- Adult, Female, Humans, Male, Middle Aged, Young Adult, Choice Behavior, Commerce statistics & numerical data, Costs and Cost Analysis, Diet, Healthy economics, Food Preferences psychology, Health Promotion methods, Netherlands, Consumer Behavior economics, Consumer Behavior statistics & numerical data, Food, Processed economics, Food, Processed statistics & numerical data, Supermarkets
- Abstract
Regular consumption of ultra-processed foods (UPF) is a risk factor for morbidity and mortality. UPF are widely available in supermarkets. Nudging and pricing strategies are promising strategies to promote healthier supermarket purchases and may reduce UPF purchases. We investigated whether supermarket nudging and pricing strategies targeting healthy foods, but not specifically discouraging UPF, would change UPF availability, price, promotion and placement (UPF-APPP) in supermarkets and customer UPF purchases. We used data from the Supreme Nudge parallel cluster-randomized controlled trial, testing the effect of a combined nudging and pricing intervention promoting healthy products. The Dutch Consumer Food Environment Score (D-CFES) was used to audit 12 participating supermarkets in terms of UPF-APPP. We used customer loyalty card data of the first twelve intervention weeks from 321 participants to calculate the proportion of UPF purchases. Descriptive statistics were used to assess differences in D-CFES between supermarkets. Mixed model analyses were used to assess the association between the D-CFES and UPF purchases and the effect of the intervention on UPF purchases. No difference in the D-CFES between intervention and control supermarkets were found. No statistically significant association between the D-CFES and UPF purchases (β = -0.00, 95%CI: -0.02, 0.01) and no significant effect of the intervention on UPF purchases (β = 0.02, 95%CI: -0.07, 0.12) was observed. Given the significant proportion of unhealthy and UPF products in Dutch supermarkets, nudging and pricing strategies aimed at promoting healthy food purchases are not sufficient for reducing UPF-APPP nor purchases, and nationwide regulation may be needed.Trial registration number: Dutch Trial Register ID NL7064, May 30, 2018, https://trialsearch.who.int/Trial2.aspx?TrialID=NTR7302., Competing Interests: Declaration of competing Interest None declared., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)
- Published
- 2024
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200. The Association of Cardiometabolic, Diet and Lifestyle Parameters With Plasma Glucagon-like Peptide-1: An IMI DIRECT Study.
- Author
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Eriksen R, White MC, Dawed AY, Perez IG, Posma JM, Haid M, Sharma S, Prehn C, Thomas EL, Koivula RW, Bizzotto R, Mari A, Giordano GN, Pavo I, Schwenk JM, De Masi F, Tsirigos KD, Brunak S, Viñuela A, Mahajan A, McDonald TJ, Kokkola T, Rutters F, Beulens J, Muilwijk M, Blom M, Elders P, Hansen TH, Fernandez-Tajes J, Jones A, Jennison C, Walker M, McCarthy MI, Pedersen O, Ruetten H, Forgie I, Holst JJ, Thomsen HS, Ridderstråle M, Bell JD, Adamski J, Franks PW, Hansen T, Holmes E, Frost G, and Pearson ER
- Subjects
- Humans, Male, Female, Cross-Sectional Studies, Middle Aged, Aged, Adult, Insulin Resistance, Fasting blood, Obesity blood, Obesity metabolism, Cohort Studies, Blood Glucose metabolism, Blood Glucose analysis, Adiposity physiology, Diabetes Mellitus, Type 2 blood, Diabetes Mellitus, Type 2 metabolism, Glucagon-Like Peptide 1 blood, Glucagon-Like Peptide 1 metabolism, Life Style, Diet, Prediabetic State blood, Prediabetic State metabolism
- Abstract
Context: The role of glucagon-like peptide-1 (GLP-1) in type 2 diabetes (T2D) and obesity is not fully understood., Objective: We investigate the association of cardiometabolic, diet, and lifestyle parameters on fasting and postprandial GLP-1 in people at risk of, or living with, T2D., Methods: We analyzed cross-sectional data from the two Innovative Medicines Initiative (IMI) Diabetes Research on Patient Stratification (DIRECT) cohorts, cohort 1 (n = 2127) individuals at risk of diabetes; cohort 2 (n = 789) individuals with new-onset T2D., Results: Our multiple regression analysis reveals that fasting total GLP-1 is associated with an insulin-resistant phenotype and observe a strong independent relationship with male sex, increased adiposity, and liver fat, particularly in the prediabetes population. In contrast, we showed that incremental GLP-1 decreases with worsening glycemia, higher adiposity, liver fat, male sex, and reduced insulin sensitivity in the prediabetes cohort. Higher fasting total GLP-1 was associated with a low intake of wholegrain, fruit, and vegetables in people with prediabetes, and with a high intake of red meat and alcohol in people with diabetes., Conclusion: These studies provide novel insights into the association between fasting and incremental GLP-1, metabolic traits of diabetes and obesity, and dietary intake, and raise intriguing questions regarding the relevance of fasting GLP-1 in the pathophysiology T2D., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Endocrine Society.)
- Published
- 2024
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- View/download PDF
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