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Prevalence Estimates Of Diabetes

Dutch Diabetes Prevalence Estimates (dude-1)

Dutch Diabetes Prevalence Estimates (dude-1)

Dutch diabetes prevalence estimates (DUDE-1) Dutch diabetes prevalence estimates (DUDE-1) Kleefstra, Nanne; Landman, Gijs W D; Van Hateren, Kornelis J J; Meulepas, Marianne; Romeijnders, Arnold; Rutten, Guy E H; Klomp, Maarten; Houweling, Sebastiaan T.; Bilo, Henk J G (2016) Journal of Diabetes, volume 8, issue 6, pp. 863 - 865 Background: Recent decades have seen a constant upward projection in the prevalence of diabetes. Attempts to estimate diabetes prevalence rates based on relatively small population samples quite often result in underestimation. The aim of the present study was to investigate whether the Dutch diabetes prevalence estimate of 930 000 for ... read more 2013, based on a relatively small sample, still holds true when a larger population is studied using actual prevalence data. Methods: Data were collected from 92 primary care groups, including the total number of people with and without diabetes in 2013. Patients with diabetes were identified using the International Classification of Primary Care codes T90.02 (diabetes mellitus type 2; T2DM), T90.01 (diabetes mellitus type 1) and T90 (diabetes mellitus). Prevalence data were compared with previous estimates made in 2009. Diabetes prevalence was estimated using linear extrapolation. Results: Complete data were available from 67 (73%) care groups, which together provided care for 7 922 403 subjects; 431 396 patients were coded as having diabetes, of whom 406 183 were coded as having T2DM. Based on these results, the extrapolated Dutch diabetes prevalence was 914 387 (5.45%). Conclusions The results show that the previous estimate (reported in 2009), which was based on data collected in 2007, resulted in a <2% (~16 000) overestimation in diabetes prevalence in 2013 compared with the analysis presented. Continue reading >>

Prevalence Estimates Of Diabetes And Of Other Cardiovascular Risk Factors In The Two Largest Algonquin Communities Of Quebec.

Prevalence Estimates Of Diabetes And Of Other Cardiovascular Risk Factors In The Two Largest Algonquin Communities Of Quebec.

Prevalence estimates of diabetes and of other cardiovascular risk factors in the two largest Algonquin communities of Quebec. Department of Nutrition, University of Montreal, Quebec, Canada. To compare the prevalence of non-insulin-dependent diabetes mellitus (NIDDM) in the two largest Algonquin communities of Quebec (Canada) with that of other native groups and to describe the different patterns of NIDDM and other cardiovascular risk markers in these communities (River Desert [RD] and Lac Simon [LS]). The population-based study targeted all residents aged 15 years and older. In the age-group considered here (30-64 years), there were 480 eligible subjects and 299 participants (50.8% in RD and 86.9% in LS). All except those with confirmed diabetes underwent an oral glucose tolerance test. Serum triglyceride and lipoprotein cholesterol levels, blood pressure, body mass index (BMI), and waist-to-hip ratio (WHR) were measured. The age-standardized (world population) prevalence of NIDDM in women was twice as high in LS as in RD (48.6% vs. 23.9%). In men, it was 23.9% in LS and 16.3% in RD. Upper-body obesity followed the same pattern. In contrast, high-risk serum low-density lipoprotein (LDL) and high-density lipoprotein (HDL) cholesterol levels were significantly more prevalent in RD than in LS, particularly among men. The rate of high blood pressure was twice as high in men as in women, with little community differences. When we controlled for age, sex, diabetic, and obesity status, mean fasting serum glucose remained significantly higher triglycerides and LDL cholesterol lower in LS than in RD. There was also an independent community effect on WHR but no on BMI. The prevalence of NIDDM in LS women reaches the rate observed in Pima Indian women. The observed differences b Continue reading >>

Diabetes Prevalence Estimates For Local Populations

Diabetes Prevalence Estimates For Local Populations

Healthcare professionals can use the estimates to understand: the estimated total number of people in their area with diabetes (diagnosed and undiagnosed) the estimated proportion of people in their area that have been diagnosed with diabetes This can help with planning services that address rising levels of diabetes and tracking progress towards closing the gap between diagnoses and the total number of cases. The estimates take into account the age, sex, and ethnic group distribution, and deprivation of the area. The diabetes prevalence model does not make a distinction between the types of diabetes. The estimates use data from the Health Survey for England (2012, 2013 and 2014), which looks at the changes in health and lifestyles across the country. Population data are from the Office of National Statistics (ONS) and GP registered populations. The documents that accompany the estimates include: estimates by CCG tool for the impact of obesity on diabetes summary analysis of estimates of diabetes prevalence across England technical document explaining how the estimates are created Continue reading >>

Notes On Massachusetts Diabetes Prevalence, 2007-2008 And 2008-2009 School Years

Notes On Massachusetts Diabetes Prevalence, 2007-2008 And 2008-2009 School Years

Notes on Massachusetts Diabetes Prevalence, 2007-2008 and 2008-2009 School Years Beginning in the 2007-2008 school year, the annual collection of diabetes prevalence data was begun by the Massachusetts Department of Public Health (MDPH), Bureau of Environmental Health (BEH). The source of the data is school health records for all public and private schools in Massachusetts serving grades Kindergarten through 8 th grades (approximate ages 5-14). School nurses or administrative staff are requested to provide the number of children with diabetes in their school, enumerating whether a child has Type 1, Typ2, or an unknown type of diabetes. No personal identifiers such as name or street address of a child are provided to the MDPH. Prevalence data for the first year of data collection, the 2007-2008 school year, are presented only by county location of the school. Most importantly, these data represent the prevalence of a county which served as the location of the school. It therefore is possible that students with diabetes actually reside in a different county from which the student's school is located. The numbers for each county were calculated by summing together the number of children with diabetes attending a public or private school whose address location was within the county of interest. The denominator was calculated by summing together the enrollment number of all schools in that county. Tables are provided for Type 1, Type 2, and All Types combined. The All Types table includes children with an unknown type of diabetes (less than <50 children statewide). Prevalence is presented per 100,000 population and confidence intervals are shown to indicate the precision of the prevalence estimate. As stated above, when examining the 2007-2008 prevalence of diabetes, cautio Continue reading >>

Comparison Of Type 2 Diabetes Prevalence Estimates In Saudi Arabia From A Validated Markov Model Against The International Diabetes Federation And Other Modelling Studies

Comparison Of Type 2 Diabetes Prevalence Estimates In Saudi Arabia From A Validated Markov Model Against The International Diabetes Federation And Other Modelling Studies

Abdulkareem J. Al-Quwaidhi,Mark S. Pearce,Eugene Sobngwi,Julia A. Critchley,andMartin OFlaherty To compare the estimates and projections of type 2 diabetes mellitus (T2DM) prevalence in Saudi Arabia from a validated Markov model against other modelling estimates, such as those produced by the International Diabetes Federation (IDF) Diabetes Atlas and the Global Burden of Disease (GBD) project. A discrete-state Markov model was developed and validated that integrates data on population, obesity and smoking prevalence trends in adult Saudis aged 25 years to estimate the trends in T2DM prevalence (annually from 1992 to 2022). The model was validated by comparing the age- and sex-specific prevalence estimates against a national survey conducted in 2005. Prevalence estimates from this new Markov model were consistent with the 2005 national survey and very similar to the GBD study estimates. Prevalence in men and women in 2000 was estimated by the GBD model respectively at 17.5% and 17.7%, compared to 17.7% and 16.4% in this study. The IDF estimates of the total diabetes prevalence were considerably lower at 16.7% in 2011 and 20.8% in 2030, compared with 29.2% in 2011 and 44.1% in 2022 in this study. In contrast to other modelling studies, both the Saudi IMPACT Diabetes Forecast Model and the GBD model directly incorporated the trends in obesity prevalence and/or body mass index (BMI) to inform T2DM prevalence estimates. It appears that such a direct incorporation of obesity trends in modelling studies results in higher estimates of the future prevalence of T2DM, at least in countries where obesity has been rapidly increasing. Keywords:Modelling, Diabetes, Prevalence, Saudi Arabia Continue reading >>

Epidemiology Of Diabetes Mellitus

Epidemiology Of Diabetes Mellitus

Prevalence (per 1,000 inhabitants) of diabetes worldwide in 2000 - world average was 2.8%. no data ≤ 7.5 7.5–15 15–22.5 22.5–30 30–37.5 37.5–45 45–52.5 52.5–60 60–67.5 67.5–75 75–82.5 ≥ 82.5 Disability-adjusted life year for diabetes mellitus per 100,000 inhabitants in 2004 No data <100 100–200 200–300 300–400 400–500 500–600 600–700 700–800 800–900 900–1,000 1,000–1,500 >1,500 Globally, an estimated 422 million adults are living with diabetes mellitus, according to the latest 2016 data from the World Health Organization (WHO).[1] Diabetes prevalence is increasing rapidly; previous 2013 estimates from the International Diabetes Federation put the number at 381 million people having diabetes.[2] The number is projected to almost double by 2030.[3] Type 2 diabetes makes up about 85-90% of all cases.[4][5] Increases in the overall diabetes prevalence rates largely reflect an increase in risk factors for type 2, notably greater longevity and being overweight or obese.[1] Diabetes mellitus occurs throughout the world, but is more common (especially type 2) in the more developed countries. The greatest increase in prevalence is, however, occurring in low- and middle-income countries[1] including in Asia and Africa, where most patients will probably be found by 2030.[3] The increase in incidence in developing countries follows the trend of urbanization and lifestyle changes, including increasingly sedentary lifestyles, less physically demanding work and the global nutrition transition, marked by increased intake of foods that are high energy-dense but nutrient-poor (often high in sugar and saturated fats, sometimes referred to as the Western pattern diet).[1][3] The risk of getting type 2 diabetes has been widely found to be associat Continue reading >>

Estimated County-level Prevalence Of Diabetes And Obesity

Estimated County-level Prevalence Of Diabetes And Obesity

County Diabetes and Obesity Prevalence Estimates Specific totals, prevalence estimates, and 95% confidence intervals for all 3,141 counties are available online.[ 4 ] Age-adjusted estimates of diabetes prevalence in the U.S. counties ranged from 3.7% to 15.3%, with a median of 8.4%. Counties in the top quintile (i.e., with diabetes prevalence 10.6%) were located primarily in a belt extending from the Mississippi River to the coastal Carolinas and the Appalachians (Figure). Among counties in Alabama, Georgia, Louisiana, Mississippi, and South Carolina, 73% were in the top quintile for diabetes prevalence. Similarly, 62% of counties in West Virginia and Tennessee combined were in the top quintile. Isolated top-quintile counties also were evident in tribal lands in Montana, the Dakotas, the Southwest, and eastern Oklahoma. Age-adjusted percentages of persons aged 20 years with diabetes and obesity, by county United States, 2007 Age-adjusted estimates of obesity prevalence ranged from 12.4% to 43.7%, with a median of 28.4%. Counties with the highest obesity prevalence largely were in the South, western Appalachians, and coastal Carolinas (Figure). In Alabama, Kentucky, Louisiana, Mississippi, South Carolina, and West Virginia, 70% of counties had obesity prevalence in the top quintile (30.9%) County-level obesity prevalence was highly correlated with diabetes prevalence (r = 0.72). A county with obesity prevalence five percentage points higher than another county had diabetes prevalence that was, on average, 1.4 percentage points higher (95% confidence interval = 1.31.5). Counties in the top two quintiles in both obesity and diabetes prevalence were concentrated in the South and Appalachian region, and counties with low diabetes and obesity prevalence largely were in the W Continue reading >>

Prevalence Of Diabetes In The Us By Type

Prevalence Of Diabetes In The Us By Type

The prevalence of type 2 diabetes (T2D) was 21 million US adults in 2016, with prevalence estimates increasing with age, a new study shows. The study sample included 3,519 respondents aged 18 years from the National Health Interview Survey (NHIS) who reported having diabetes. Researchers examined the prevalence of diagnosed diabetes by diabetes type in the US in 2016. They found: The prevalence of diagnosed type 1 diabetes (T1D) was 0.55%, representing 1.3 million US adults. The prevalence of diagnosed T2D was 8.6%, representing 21.0 million US adults. Non-Hispanic white adults had a higher prevalence of diagnosed T1D compared with Hispanic adults. Non-Hispanic blacks had the highest incidence of diagnosed T2D diabetes. Diagnosed T2D prevalence estimates increased with age and decreased with increasing levels of educational attainment. Bullard KM, Cowie CC, Lessem SE, et al. Prevalence of diagnosed diabetes in adults by diabetes typeUnited States, 2016. MMWR Morb Mortal Wkly Rep. 2018;67:359361. doi:10.15585/mmwr.mm6712a2. Continue reading >>

Medical Xpress: Novel Method Developed For Estimating Prevalence Of Diabetes

Medical Xpress: Novel Method Developed For Estimating Prevalence Of Diabetes

Novel method developed for estimating prevalence of diabetes (HealthDay)A novel method has been developed to enhance the prevalence estimates of diabetes and prediabetes, according to a study published online Nov. 2 in Preventing Chronic Diseases. Noting that accurate state-level estimates of diabetes and prediabetes prevalence that include undiagnosed cases have been impossible to produce with traditional sources of state-level data, Russ Mardon, Ph.D., from Westat Inc. in Rockville, Maryland, and colleagues presented an approach for adjusting new and nontraditional data sources for diabetes surveillance and described results for Alabama and California. The researchers reweighted surveys and other data sources with population undercoverage to make them more representative of state populations. They also adjusted for nonrandom use of laboratory testing in clinically generated data. The data sources used were the National Health and Nutrition Examination Survey, the Health and Retirement Study, the National Ambulatory Medical Care Survey, and MarketScan. These methods can be applied to other survey , administrative, or clinical data sets. "Our prevalence estimates have general face validity, but we cannot validate these estimates directly because of the absence of a gold standard," the authors write. "We are testing and validating a method to combine the state-level estimates of diabetes and prediabetes prevalence across these data sets to create a single composite prevalence estimate for a state." Continue reading >>

Dutch Diabetes Prevalence Estimates (dude-1).

Dutch Diabetes Prevalence Estimates (dude-1).

Dutch diabetes prevalence estimates (DUDE-1). Diabetes Centre, Isala, Zwolle, The Netherlands. More 1.Diabetes Centre, Isala, Zwolle, The Netherlands. [email protected] 2.Diabetes Centre, Isala, Zwolle, The Netherlands. 3.Meetpunt Kwaliteit, Eindhoven, The Netherlands. 4.Praktijkondersteuning Zuidoost-Brabant, Veldhoven, The Netherlands. 5.Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands. Journal of Diabetes [23 Mar 2016, 8(6):863-865] Recent decades have seen a constant upward projection in the prevalence of diabetes. Attempts to estimate diabetes prevalence rates based on relatively small population samples quite often result in underestimation. The aim of the present study was to investigate whether the Dutch diabetes prevalence estimate of 930 000 for 2013, based on a relatively small sample, still holds true when a larger population is studied using actual prevalence data.Data were collected from 92 primary care groups, including the total number of people with and without diabetes in 2013. Patients with diabetes were identified using the International Classification of Primary Care codes T90.02 (diabetes mellitus type 2; T2DM), T90.01 (diabetes mellitus type 1) and T90 (diabetes mellitus). Prevalence data were compared with previous estimates made in 2009. Diabetes prevalence was estimated using linear extrapolation.Complete data were available from 67 (73%) care groups, which together provided care for 7 922 403 subjects; 431 396 patients were coded as having diabetes, of whom 406 183 were coded as having T2DM. Based on these results, the extrapolated Dutch diabetes prevalence was 914 387 (5.45%).The results show that the previous estimate (reported in 2009), which was based on data collected Continue reading >>

Idf Diabetes Atlas: Global Estimates Of Diabetes Prevalence For 2017 And Projections For 2045

Idf Diabetes Atlas: Global Estimates Of Diabetes Prevalence For 2017 And Projections For 2045

IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045 Author links open overlay panel N.H.Choac Since the year 2000, IDF has been measuring the prevalence of diabetes nationally, regionally and globally. To produce estimates of the global burden of diabetes and its impact for 2017 and projections for 2045. A systematic literature review was conducted to identify published studies on the prevalence of diabetes, impaired glucose tolerance and hyperglycaemia in pregnancy in the period from 1990 to 2016. The highest quality studies on diabetes prevalence were selected for each country. A logistic regression model was used to generate age-specific prevalence estimates or each country. Estimates for countries without data were extrapolated from similar countries. It was estimated that in 2017 there are 451 million (age 1899years) people with diabetes worldwide. These figures were expected to increase to 693 million) by 2045. It was estimated that almost half of all people (49.7%) living with diabetes are undiagnosed. Moreover, there was an estimated 374 million people with impaired glucose tolerance (IGT) and it was projected that almost 21.3 million live births to women were affected by some form of hyperglycaemia in pregnancy. In 2017, approximately 5 million deaths worldwide were attributable to diabetes in the 2099years age range. The global healthcare expenditure on people with diabetes was estimated to be USD 850 billion in 2017. The new estimates of diabetes prevalence, deaths attributable to diabetes and healthcare expenditure due to diabetes present a large social, financial and health system burden across the world. Continue reading >>

Disparity Of Imputed Data From Small Area Estimate Approaches A Case Study On Diabetes Prevalence At The County Level In The U.s.

Disparity Of Imputed Data From Small Area Estimate Approaches A Case Study On Diabetes Prevalence At The County Level In The U.s.

Disparity of Imputed Data from Small Area Estimate Approaches A Case Study on Diabetes Prevalence at the County Level in the U.S. This paper assesses concordance and inconsistency among three small area estimation methods that are currently providing county-level health indicators in the United States. The three methods are multi-level logistic regression, spatial logistic regression, and spatial Poison regression, all proposed since 2010. Diabetes prevalence is estimated for each county in the continental United States from the 2012 sample of Behavioral Risk Factor Surveillance System. The mapping results show that all three methods displayed elevated diabetes prevalence in the South. While the Pearson correlation coefficients among three model-based estimates were all above 0.60, the highest one was 0.80 between the multilevel and spatial logistic methods. While point estimates are apparently different among the three small area estimate methods, their top and bottom of quintile distributions are fairly consistent based on Bangdiwalas B-statistic, suggesting that outputs from each method would support consistent policy making in terms of identifying top and bottom percent counties. Small area estimation (SAE) methods have been routinely used to generate poverty, employment and other economic indicators at census county and tract levels in the United States (US). Official data providers, such as the Census Bureau, and Bureau of Labor Statistics in the US approach SAE in stages: 1) proposing an appropriate SAE method, 2) evaluating and validating the proposed method, and 3) deploying the recommended method for specific SAE applications or SAE data releases. Certainly, stages 1) and 2) are often iteratively developed, and an initially proposed method may not proceed to Continue reading >>

Public Health Profiles

Public Health Profiles

Knowledge of the frequency of disease is an important prerequisite for understanding population health, case finding, commissioning and planning services, and understanding variation in health and care. The most commonly used measure of disease frequency is *prevalence* which is an estimate of the number of cases of a given disease or risk factor in the population at a point in time (*point prevalence*) or over a given time period (*period prevalence*). This is the first iteration of a data tool which: consolidates data from across Fingertips into a single dataset over time is intended to be a single point of access for all disease prevalence estimates from across Fingertips and other tools. provides access to the latest modelled prevalence estimates developed in conjunction with Imperial College We have organised the prevalence data in this site into 5 domains: Modelled estimates. This domain contains updated prevalence estimates (see below) Estimates of mental health and disability prevalence Prevalence data from the Quality and Outcomes Framework PHE working with Imperial College, commissioned a series of updated prevalence estimates for: Continue reading >>

Diabetes Prevalence

Diabetes Prevalence

Tweet Since 1996, the number of people diagnosed with diabetes in the UK has risen from 1.4 million to 3.5 million. Taking into account the number of people likely to be living with undiagnosed diabetes, the number of people living with diabetes in the UK is over 4 million. Diabetes prevalence in the UK is estimated to rise to 5 million by 2025. Type 2 diabetes in particular has been growing at the particularly high rate and is now one of the world’s most common long term health conditions. UK diabetes prevalence Currently, the number of people diagnosed with diabetes in the UK is estimated to be 3.5 million. [16] It is predicted that up to 549,000 people in the UK have diabetes that is yet to be diagnosed. This means that, including the number of undiagnosed people, there is estimated to be over 4 million people living with diabetes in the UK at present. This represents 6% of the UK population or 1 in every 16 people having diabetes (diagnosed and undiagnosed). The prevalence of diabetes in the UK (for adults) is broken down as follows: How many people have diabetes in the UK Country Number of People England 2,913,538 Northern Ireland 84,836 Scotland 271,312 Wales 183,348 The majority of these cases are of type 2 diabetes, which has been linked to increasing cases of obesity. Statistics suggest that a slightly higher proportion of adult men have diabetes. Men account for 56 per cent of UK adults with diabetes and women account for 44 per cent. World diabetes prevalence It is estimated that 415 million people are living with diabetes in the world, which is estimated to be 1 in 11 of the world’s adult population. 46% of people with diabetes are undiagnosed. The figure is expected to rise to 642 million people living with diabetes worldwide by 2040. Prevalence across Continue reading >>

National Diabetes Fact Sheet

National Diabetes Fact Sheet

National estimates and general information on diabetes in Italy were derived from the official statistics. Prevalence estimates of diabetes were derived from the Multipurpose Surveys on Household conducted by ISTAT (National Bureau of Statistics). Hospitalization rates were derived from the National Hospital Discharge Record database held by the Ministry of Health . Mortality rates for diabetes were derived from the National Mortality Database (ISTAT). Prevalence of diabetes in Italy, all ages, 2001-2015 Crude and age-sex standardized percentage of people that reported to have diabetes. Prevalence of diabetes by gender and age, Italy, 2015 Percentage of people that reported to have diabetes. Prevalence of diabetes by area, Italy, 2015 Percentage of people that reported to have diabetes. Prevalence of diabetes by Region, Italy 2015 Percentage of people that reported to have diabetes. Hospitalization rates by gender, Italy, 2000-2010. Age standardized rates per 100.000 residents. Discharges with diabetes as main diagnosis. Source: Ministry of Health data, ISTAT elaboration . Mortality rates for diabetes by gender, Italy, 2000-2009. Age standardized rates per 100.000 residents. Deaths with diabetes as leading cause. Continue reading >>

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