979 resultados para Pre-diabetes
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Dissertação para obtenção do Grau de Mestre em Biotecnologia
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INTRODUCTION: Several studies have shown an increased risk of type 2 diabetes among smokers. Therefore, the aim of this analysis was to assess the relationship between smoking, cumulative smoking exposure and nicotine dependence with pre-diabetes. METHODS: We performed a cross-sectional analysis of healthy adults aged 25-41 in the Principality of Liechtenstein. Individuals with known diabetes, Body Mass Index (BMI) >35 kg/m² and prevalent cardiovascular disease were excluded. Smoking behaviour was assessed by self-report. Pre-diabetes was defined as glycosylated haemoglobin between 5.7% and 6.4%. Multivariable logistic regression models were done. RESULTS: Of the 2142 participants (median age 37 years), 499 (23.3%) had pre-diabetes. There were 1,168 (55%) never smokers, 503 (23%) past smokers and 471 (22%) current smokers, with a prevalence of pre-diabetes of 21.2%, 20.9% and 31.2%, respectively (p <0.0001). In multivariable regression models, current smokers had an odds ratio (OR) of pre-diabetes of 1.82 (95% confidential interval (CI) 1.39; 2.38, p <0.0001). Individuals with a smoking exposure of <5, 5-10 and >10 pack-years had an OR (95% CI) for pre-diabetes of 1.34 (0.90; 2.00), 1.80 (1.07; 3.01) and 2.51 (1.80; 3.59) (p linear trend <0.0001) compared with never smokers. A Fagerström score of 2, 3-5 and >5 among current smokers was associated with an OR (95% CI) for pre-diabetes of 1.27 (0.89; 1.82), 2.15 (1.48; 3.13) and 3.35 (1.73; 6.48) (p linear trend <0.0001). DISCUSSION: Smoking is strongly associated with pre-diabetes in young adults with a low burden of smoking exposure. Nicotine dependence could be a potential mechanism of this relationship.
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Background Impaired glucose regulation (IGR) is associated with detrimental cardiovascular outcomes such as cardiovascular disease risk factors (CVD risk factors) or intima-media thickness (IMT). Our aim was to examine whether these associations are mediated by body mass index (BMI), waist circumference (waist) or fasting serum insulin (insulin) in a population in the African region. Methods Major CVD risk factors (systolic blood pressure, smoking, LDL-cholesterol, HDL-cholesterol,) were measured in a random sample of adults aged 25-64 in the Seychelles (n=1255, participation rate: 80.2%). According to the criteria of the American Diabetes Association, IGR was divided in four ordered categories: 1) normal fasting glucose (NFG), 2) impaired fasting glucose (IFG) and normal glucose tolerance (IFG/NGT), 3) IFG and impaired glucose tolerance (IFG/IGT), and 4) diabetes mellitus (DM). Carotid and femoral IMT was assessed by ultrasound (n=496). Results Age-adjusted levels of the major CVD risk factors worsened gradually across IGR categories (NFG < IFG/NGT < IFG/IGT < DM), particularly HDL-cholesterol and blood pressure (p for trend <0.001). These relationships were marginally attenuated upon further adjustment for waist, BMI or insulin (whether considered alone or combined) and most of these relationships remained significant. With regards to IMT, the association was null with IFG/NGT, weak with IFG/IGT and stronger with DM (all more markedly at femoral than carotid levels). The associations between IMT and IFG/IGT or DM (adjusted by age and major CVD risk factors) decreased only marginally upon further adjustment for BMI, waist or insulin. Further adjustment for family history of diabetes did not alter the results. Conclusions We found graded relationships between IGR categories and both major CVD risk factors and carotid/femoral IMT. These relationships were only partly accounted for by BMI, waist and insulin. This suggests that increased CVD-risk associated with IGR is also mediated by factors other than the considered markers of adiposity and insulin resistance. The results also imply that IGR and associated major CVD risk factors should be systematically screened and appropriately managed.
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AIMS: Smoking cessation has been suggested to increase the short-term risk of type 2 diabetes mellitus (T2DM). This study aimed at assessing the association between smoking cessation and incidence of T2DM and impaired fasting glucose (IFG). METHODS: Data from participants in the CoLaus study, Switzerland, aged 35-75 at baseline and followed for 5.5years were used. Participants were classified as smokers, recent (≤5years), long-term (>5years) quitters, and non-smokers at baseline. Outcomes were IFG (fasting serum glucose (FSG) 5.6-6.99mmol/l) and T2DM (FSG ≥7.0mmol/l and/or treatment) at follow up. RESULTS: 3,166 participants (63% women) had normal baseline FSG, of whom 26.7% were smokers, 6.5% recent quitters, and 23.5% long-term quitters. During follow-up 1,311 participants (41.4%) developed IFG (33.6% women, 54.7% men) and 47 (1.5%) developed T2DM (1.1% women, 2.1% men). Former smokers did not have statistically significant increased odds of IFG compared with smokers after adjustment for age, education, physical activity, hypercholesterolemia, hypertension and alcohol intake, with OR of 1.29 [95% confidence interval 0.94-1.76] for recent quitters and 1.03 [0.84-1.27] for long-term quitters. Former smokers did not have significant increased odds of T2DM compared with smokers with multivariable-adjusted OR of 1.53 [0.58-4.00] for recent quitters and 0.64 [0.27-1.48] for long-term quitters. Adjustment for body-mass index and waist circumference attenuated the association between recent quitting and IFG (OR 1.07 [0.78-1.48]) and T2DM (OR 1.28 [0.48-3.40]. CONCLUSION: In this middle-aged population, smoking cessation was not associated with an increased risk of IFG or T2DM.
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Le tabagisme est associé à un risque augmenté de développer un diabète de type 2. Arrêter de fumer devrait donc diminuer le risqué de diabète. Seulement, les études concernant le risque métabolique à l'arrêt du tabac sont discordantes. Par ailleurs, les effets métaboliques du tabac et de l'arrêt du tabac diffèrent probablement selon le sexe, avec notamment un effet différent du tabac sur la santé des femmes, et une prise pondérale plus importante à l'arrêt que chez les hommes. Notre étude vise à évaluer le risque métabolique à l'arrêt du tabac, chez les femmes et les homes séparément. Nous avons utilisé les données de l'étude de cohorte prospective CoLaus, qui évalue différents facteurs de risque cardiovasculaire chez des sujets choisis de manière aléatoire, dans la population Lausannoise entre 35 et 75 ans, suivis sur 5.5 ans en moyenne. Parmi ceux avec une glycémie à jeun normale au départ, nous avons divisé les participants en quatre groupes selon leur statut tabagique : non fumeurs, personnes ayant arrêté de fumer depuis plus de 5 ans, celles ayant arrêté depuis moins de 5 ans, et fumeurs actifs. Nous avons mesuré les incidences de glycémie à jeun altérée (5.6-6.99 mmol/l) et de diabète (glycémie à jeun ≥ 7 mmol/l et/ou traitement pour le diabète) durant le période de suivi, stratifiées par sexe. Puis le risque d'incidence de glycémie altérée et de diabète a été calculé avec trois niveaux d'ajustement pour les facteurs confondants pour un risque métabolique. Nous avons inclus 3166 participants, dont 63% de femmes. Au total, 26.3% étaient fumeurs, 6.5% ex-fumeurs depuis moins de 5 ans et 23.5% ex-fumeurs depuis plus de 5 ans. Durant le suivi, 1311 (41.4%) personnes ont développé une glycémie à jeun altérée (33.6% des femmes, 54.7% des homes), et 47 (1.5%) ont développé un diabète (1.1% des femmes, 2.1% des hommes). Les personnes ayant arrêté de fumer n'avait pas de risque significativement plus élevé de développer une glycémie à jeun altérée ou un diabète que les fumeurs, après ajustement pour l'âge, l'éducation, l'hypercholestérolémie, la prise d'alcool, l'activité physique, la prise de poids, le BMI initial et le BMI d'arrivée dans les différents modèles d'ajustement. L'analyse de l'interaction du sexe avec ces résultats est également négative. Les analyses de sensibilité ont montré que l'exclusion des personnes ayant changé de statut tabagique durant le suivi ne changeait pas ces résultats. Nous avons refait les analyses en incluant les participants ayant une glycémie altérée au début du suivi, mais le risque d'incidence de diabète n'est pas plus élevé chez les ex-fumeurs que chez les fumeurs non plus dans cette population. Sur demande d'un reviewer, nous avons également refait les analyses avec la glycémie en continue (valeurs de base et valeurs à 5.5 ans), et la glycémie moyenne n'était pas différente par groupe de tabagisme. En conclusion, dans cette population européenne d'âge moyen, avec une prévalence basse d'obésité et une prise de poids modérée durant le suivi, nous n'avons pas trouvé de risque significativement plus élevé de développer un diabète en arrêtant de fumer, et ce pour les deux sexes. L'arrêt du tabac doit donc être encouragé chez toutes les fumeuses et tous les fumeurs.
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Syfte: Att beskriva personers upplever att få pre-diabetes som en del av livet. Metod: Kvalitativ design. Studien genomfördes med fokusgrupper bestående av personer med pre-diabetes. Tre olika grupper med totalt 12 personer ingick i studien. Resultat: Ur diskussionerna kunde tre olika kategorier urskiljas. Pre-diabetes som en del av livet, egen erfarenhet och kunskap om tillståndet samt behov av information och stöd för ökad kunskap om livsstilsförändringar. Pre-diabetes var för de flesta studiedeltagare ett okänt begrepp. Känslor som osäkerhet och rädsla för tillståndet, samt för eventuell utveckling till manifest diabetes var vanligt. Det ansågs värdefullt att få besked i tidigt skede om förhöjda blodsockervärden, eftersom individen då hade möjlighet att påverka sin livsstil och förebygga annan sjukdom. Alla deltagare önskade mer kunskap och stöd kring pre-diabetes och livsstilsåtgärder. Respondenterna beskrev besvikelse över vårdpersonalens bemötande i samband med beskedet om förhöjda blodsockervärden. Informationen ansågs vara för knapphändig vilket gav uppfattning om att tillståndet inte var något att bry sig om. Konklusion: Respondenterna ville i största möjligaste utsträckning förhindra utvecklingen av T2DM genom egenvårdsinsater i form livsstilsförändringar. För att lyckas med det uppgav studiedeltagarna behov av information om vad tillståndet pre-diabetes innebär. Personer som får pre-diabetes bör få saklig information, råd och stöd om tillståndet i samband med beskedet.
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Reducing low-density lipoprotein cholesterol (LDL-C) levels using statins is associated with significant reductions in cardiovascular (CV) events in a wide range of patient populations. Although statins are generally considered to be safe, recent studies suggest they are associated with an increased risk of developing Type 2 diabetes (T2D). This led the US Food and Drug Administration (FDA) to change their labelling requirements for statins to include a warning about the possibility of increased blood sugar and HbA1c levels and the European Medicines Agency (EMA) to issue guidance on a small increased risk of T2D with the statin class. This review examines the evidence leading to these claims and provides practical guidance for primary care physicians on the use of statins in people with or at risk of developing T2D. Overall, evidence suggests that the benefits of statins for the reduction of CV risk far outweigh the risk of developing T2D, especially in individuals with higher CV risk. To reduce the risk of developing T2D, physicians should assess all patients for T2D risk prior to starting statin therapy, educate patients about their risks, and encourage risk-reduction through lifestyle changes. Whether some statins are more diabetogenic than others requires further study. Statin-treated patients at high risk of developing T2D should regularly be monitored for changes in blood glucose or HbA1c levels, and the risk of conversion from pre-diabetes to T2D should be reduced by intensifying lifestyle changes. Should a patient develop T2D during statin treatment, physicians should continue with statin therapy and manage T2D in accordance with relevant national guidelines.
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BACKGROUND: The evidence for a "diabesity" epidemic is accumulating worldwide but population-based data are still scarce in the African region. We assessed the prevalence, awareness and control of diabetes (DM) in the Seychelles, a rapidly developing country in the African region. We also examined the relationship between body mass index, fasting serum insulin and DM. METHODS: Examination survey in a sample representative of the entire population aged 25-64 of the Seychelles, attended by 1255 persons (participation rate of 80.2%). An oral glucose tolerance test (OGTT) was performed in individuals with fasting blood glucose between 5.6 and 6.9 mmol/l. Diabetes mellitus (DM), impaired fasting glucose (IFG) and impaired glucose tolerance (IGT) were defined along criteria of the ADA. Prevalence estimates were standardized for age. RESULTS: The prevalence of DM was 11.5% and 54% of persons with DM were aware of having DM. Less than a quarter of all diabetic persons under treatment were well controlled for glycemia (HbA1c), blood pressure or LDL-cholesterol. The prevalence of IGT and IFG were respectively 10.4% and 24.2%. The prevalence of excess weight (BMI > or = 25 kg/m2) and obesity (BMI > or = 30 kg/m2) was respectively 60.1% and 25.0%. Half of all DM cases in the population could be attributed to excess weight. CONCLUSION: We found a high prevalence of DM and pre-diabetes in a rapidly developing country in the African region. The strong association between overweight and DM emphasizes the importance of weight control measures to reduce the incidence of DM in the population. High rates of diabetic persons not aware of having DM in the population and insufficient cardiometabolic control among persons treated for DM stress the need for intensifying health care for diabetes.
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The Iowa Diabetes Prevention and Control Program provides educational opportunities for health care providers via the Iowa Communications Network interactive fiber optic system. The program also certifies diabetes outpatient education programs in Iowa based on minimum criteria for quality programs. In Iowa during the past 20 years, the prevalence rate of diagnosed diabetes increased dramatically among adults: Between 1991 and 2009 the crude diabetes prevalence rate rose by 84%, from 3.8% to 7.0%. Between these years, the age‐adjusted adult diagnosed diabetes prevalence rate increased by 64%, rising from 3.7% to 6.4%. During the 18 years 1991‐93 through 2006‐08, the number of Iowa adults with diagnosed diabetes more than doubled, increasing from 78,000 to 162,000. While the Iowa Behavioral Risk Factor Surveillance System (BRFSS), upon which the numbers cited above are based, provides reliable state‐level self‐reported data on adults with diagnosed diabetes, it is unable to provide estimates of undiagnosed diabetes. National estimates put the prevalence of undiagnosed adult diabetes at about 5%, raising the estimated adult diabetes prevalence rate in Iowa to 12% (280,000 adults) (Cowie,2009). Another 5% of all Iowa adults are estimated to have diagnosed pre‐diabetes, while 25% of all Iowa adults, based on national estimates from the 2005‐06 National Health and Nutrition and Examination Survey (NHANES), likely have undiagnosed pre‐diabetes. (Cowie, 2009)
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ABSTRACT: A workshop was held at the National Institute for Diabetes and Digestive and Kidney Diseases with a focus on the impact of sleep and circadian disruption on energy balance and diabetes. The workshop identified a number of key principles for research in this area and a number of specific opportunities. Studies in this area would be facilitated by active collaboration between investigators in sleep/circadian research and investigators in metabolism/diabetes. There is a need to translate the elegant findings from basic research into improving the metabolic health of the American public. There is also a need for investigators studying the impact of sleep/circadian disruption in humans to move beyond measurements of insulin and glucose and conduct more in-depth phenotyping. There is also a need for the assessments of sleep and circadian rhythms as well as assessments for sleep-disordered breathing to be incorporated into all ongoing cohort studies related to diabetes risk. Studies in humans need to complement the elegant short-term laboratory-based human studies of simulated short sleep and shift work etc. with studies in subjects in the general population with these disorders. It is conceivable that chronic adaptations occur, and if so, the mechanisms by which they occur needs to be identified and understood. Particular areas of opportunity that are ready for translation are studies to address whether CPAP treatment of patients with pre-diabetes and obstructive sleep apnea (OSA) prevents or delays the onset of diabetes and whether temporal restricted feeding has the same impact on obesity rates in humans as it does in mice.
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Type 2 diabetes mellitus and pre-diabetes are risk factors for atherosclerosis and are highly prevalent in patients with coronary artery disease. However, the prevalence of impaired glucose metabolism in patients with peripheral artery disease is not as well elucidated. We aimed at comparing prevalence rates of type 2 diabetes mellitus and pre-diabetes, which were diagnosed according to the current American Diabetes Association criteria, among 364 patients with peripheral artery disease, 529 patients with coronary artery disease and 383 controls. The prevalence of type 2 diabetes mellitus in peripheral artery disease patients was 49.7%. It was significantly higher in these patients than in coronary artery disease patients (34.4%; p < 0.001) and controls (21.4%; p < 0.001). Adjusted for sex, age and body mass index, odds ratios for type 2 diabetes mellitus were 2.0 (95% confidence interval 1.5-2.6) comparing the peripheral artery disease group with the coronary artery disease group (p < 0.001) and 4.0 (2.8-5.8) comparing the peripheral artery disease group with controls (p < 0.001). The prevalence of pre-diabetes among non-diabetic subjects was high in all three study groups (64.5% in peripheral artery disease patients, 63.4% in coronary artery disease patients and 61.8% in controls), without significant between-group differences. In conclusion, the prevalence of type 2 diabetes mellitus is even higher in peripheral artery disease patients than in coronary artery disease patients. This observation underlines the need to consider impaired glucose regulation in the management of peripheral artery disease.
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Objective. In 2009, the International Expert Committee recommended the use of HbA1c test for diagnosis of diabetes. Although it has been recommended for the diagnosis of diabetes, its precise test performance among Mexican Americans is uncertain. A strong “gold standard” would rely on repeated blood glucose measurement on different days, which is the recommended method for diagnosing diabetes in clinical practice. Our objective was to assess test performance of HbA1c in detecting diabetes and pre-diabetes against repeated fasting blood glucose measurement for the Mexican American population living in United States-Mexico border. Moreover, we wanted to find out a specific and precise threshold value of HbA1c for Diabetes Mellitus (DM) and pre-diabetes for this high-risk population which might assist in better diagnosis and better management of patient diabetes. ^ Research design and methods. We used CCHC dataset for our study. In 2004, the Cameron County Hispanic Cohort (CCHC), now numbering 2,574, was established drawn from randomly selected households on the basis of 2000 Census tract data. The CCHC study randomly selected a subset of people (aged 18-64 years) in CCHC cohort households to determine the influence of SES on diabetes and obesity. Among the participants in Cohort-2000, 67.15% are female; all are Hispanic. ^ Individuals were defined as having diabetes mellitus (Fasting plasma glucose [FPG] ≥ 126 mg/dL or pre-diabetes (100 ≤ FPG < 126 mg/dL). HbA1c test performance was evaluated using receiver operator characteristic (ROC) curves. Moreover, change-point models were used to determine HbA1c thresholds compatible with FPG thresholds for diabetes and pre-diabetes. ^ Results. When assessing Fasting Plasma Glucose (FPG) is used to detect diabetes, the sensitivity and specificity of HbA1c≥ 6.5% was 75% and 87% respectively (area under the curve 0.895). Additionally, when assessing FPG to detect pre-diabetes, the sensitivity and specificity of HbA1c≥ 6.0% (ADA recommended threshold) was 18% and 90% respectively. The sensitivity and specificity of HbA1c≥ 5.7% (International Expert Committee recommended threshold) for detecting pre-diabetes was 31% and 78% respectively. ROC analyses suggest HbA1c as a sound predictor of diabetes mellitus (area under the curve 0.895) but a poorer predictor for pre-diabetes (area under the curve 0.632). ^ Conclusions. Our data support the current recommendations for use of HbA1c in the diagnosis of diabetes for the Mexican American population as it has shown reasonable sensitivity, specificity and accuracy against repeated FPG measures. However, use of HbA1c may be premature for detecting pre-diabetes in this specific population because of the poor sensitivity with FPG. It might be the case that HbA1c is differentiating the cases more effectively who are at risk of developing diabetes. Following these pre-diabetic individuals for a longer-term for the detection of incident diabetes may lead to more confirmatory result.^
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Non-diabetic hyperglycaemia, also known as pre-diabetes or impaired glucose regulation, refers to raised blood glucose levels, but not in the diabetic range. People with non-diabetic hyperglycaemia are at increased risk of developing Type 2 diabetes. They are also at increased risk of other cardiovascular conditions. The spreadsheet outlines the number of people in every local authority who are estimated as having non-diabetic hyperglycaemia.