In 2023, the prevalence of diagnosed diabetes in the United States among people aged 18 and over amounted to *** percent. This was an increase from *** percent in the year 2000. How many people in the United States have diabetes? It was estimated that in 2023, almost **** million people in the United States had been diagnosed with diabetes. The number of people living with diabetes has increased over the past few decades, with only **** million people living with diabetes in the year 1980. Diabetes in the United States is more common among older adults, with around ** percent of those aged 60 years and older diagnosed with diabetes, compared to ** percent of those aged 40 to 59 years. Leading diabetic states In 2023, the U.S. states with the highest prevalence of diagnosed diabetes were West Virginia, Mississippi, and Louisiana. Just over ** percent of adults in West Virginia had diabetes that year. In Utah, just under ***** percent of adults have been diagnosed with diabetes, the lowest share in the United States.

It was estimated that as of 2023, around **** million people in the United States had been diagnosed with diabetes. The number of people diagnosed with diabetes in the U.S. has increased in recent years and the disease is now a major health issue. Diabetes is now the seventh leading cause of death in the United States, accounting for ******percent of all deaths. What is prediabetes? A person is considered to have prediabetes if their blood sugar levels are higher than normal but not high enough to be diagnosed with type 2 diabetes. As of 2021, it was estimated that around ** million men and ** million women in the United States had prediabetes. However, according to the CDC, around ** percent of these people do not know they have this condition. Not only does prediabetes increase the risk of developing type 2 diabetes, but also increases the risk of heart disease and stroke. The states with the highest share of adults who had ever been told they have prediabetes are California, Hawaii, and New Mexico. The prevalence of diabetes in the United States As of 2023, around *** percent of adults in the United States had been diagnosed with diabetes, an increase from ****percent in the year 2000. Diabetes is much more common among older adults, with around ** percent of those aged 60 years and older diagnosed with diabetes, compared to just ****percent of those aged 20 to 39 years. The states with the highest prevalence of diabetes among adults are West Virginia, Mississippi, and Louisiana, while Utah and Colorado report the lowest rates. In West Virginia, around ** percent of adults have been diagnosed with diabetes.

In 2023, West Virginia had the highest share of adults (**** percent) who had ever been told by a doctor that they had diabetes. This statistic represents the percentage of adults in the United States who had ever been diagnosed diabetes as of 2023, by state.

This dataset contains information on the proportion by age, total number, male and female and sex of adults of adults diagnosed with diabetes, collected from the system of health-related telephone surveys, the Behavioral Risk Factor Surveillance System (BRFSS), conducted in more than 400,000 patients, from 50 states in the US, the District of Columbia and three US territories.

Health, United States is an annual report on trends in health statistics, find more information at http://www.cdc.gov/nchs/hus.htm.

This is a source dataset for a Let's Get Healthy California indicator at "https://letsgethealthy.ca.gov/. This table displays the prevalence of diabetes in California. It contains data for California only. The data are from the California Behavioral Risk Factor Surveillance Survey (BRFSS). The California BRFSS is an annual cross-sectional health-related telephone survey that collects data about California residents regarding their health-related risk behaviors, chronic health conditions, and use of preventive services. The BRFSS is conducted by Public Health Survey Research Program of California State University, Sacramento under contract from CDPH. This prevalence rate does not include pre-diabetes, or gestational diabetes. This is based on the question: "Has a doctor, or nurse or other health professional ever told you that you have diabetes?" The sample size for 2014 was 8,832. NOTE: Denominator data and weighting was taken from the California Department of Finance, not U.S. Census. Values may therefore differ from what has been published in the national BRFSS data tables by the Centers for Disease Control and Prevention (CDC) or other federal agencies.

Population-based county-level estimates for diagnosed (DDP), undiagnosed (UDP), and total diabetes prevalence (TDP) were acquired from the Institute for Health Metrics and Evaluation (IHME) for the years 2004-2012 (Evaluation 2017). Prevalence estimates were calculated using a two-stage approach. The first stage used National Health and Nutrition Examination Survey (NHANES) data to predict high fasting plasma glucose (FPG) levels (≥126 mg/dL) and/or hemoglobin A1C (HbA1C) levels (≥6.5% [48 mmol/mol]) based on self-reported demographic and behavioral characteristics (Dwyer-Lindgren, Mackenbach et al. 2016). This model was then applied to Behavioral Risk Factor Surveillance System (BRFSS) data to impute high FPG and/or A1C status for each BRFSS respondent (Dwyer-Lindgren, Mackenbach et al. 2016). The second stage used the imputed BRFSS data to fit a series of small area models, which were used to predict the county-level prevalence of each of the diabetes-related outcomes (Dwyer-Lindgren, Mackenbach et al. 2016). Diagnosed diabetes was defined as the proportion of adults (age 20+ years) who reported a previous diabetes diagnosis, represented as an age-standardized prevalence percentage. Undiagnosed diabetes was defined as proportion of adults (age 20+ years) who have a high FPG or HbA1C but did not report a previous diagnosis of diabetes. Total diabetes was defined as the proportion of adults (age 20+ years) who reported a previous diabetes diagnosis and/or had a high FPG/HbA1C. The age-standardized diabetes prevalence (%) was used as the outcome. The EQI was constructed for 2000-2005 for all US counties and is composed of five domains (air, water, built, land, and sociodemographic), each composed of variables to represent the environmental quality of that domain. Domain-specific EQIs were developed using principal components analysis (PCA) to reduce these variables within each domain while the overall EQI was constructed from a second PCA from these individual domains (L. C. Messer et al., 2014). To account for differences in environment across rural and urban counties, the overall and domain-specific EQIs were stratified by rural urban continuum codes (RUCCs) (U.S. Department of Agriculture, 2015). This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Human health data are not available publicly. EQI data are available at: https://edg.epa.gov/data/Public/ORD/NHEERL/EQI. Format: Data are stored as csv files. This dataset is associated with the following publication: Jagai, J., A. Krajewski, S. Shaikh, D. Lobdell, and R. Sargis. Association between environmental quality and diabetes in the U.S.A.. Journal of Diabetes Investigation. John Wiley & Sons, Inc., Hoboken, NJ, USA, 11(2): 315-324, (2020).

Data on type 1 diabetes population size (prevalence) and new diagnosis rates (incidence) for youth and adults.

In 2023, there were **** deaths from diabetes mellitus per 100,000 people in the United States. The death rate caused by this condition has fluctuated over the past decades, reaching almost ** deaths per 100,000 people in the early 2000s, and about ** deaths in 1980. Prevalence of diabetes In 2022, around *** percent of the adult population in the U.S. had diabetes. In total, around ** million adults in the United States are currently living with diabetes. Of this total, the vast majority were aged 45 years and older. The states with the highest share of adults with diabetes are West Virginia, Mississippi, and Louisiana. Cure for diabetes? Researchers are helping diabetics put their Type 2 diabetes into remission, where the blood sugar levels are kept within a healthy range. For Type 1, scientists are looking for ways to prevent the immune system’s attack on beta cells, which causes diabetes. These cells, located in the pancreas, produce the insulin people need to live. As of yet, there is no cure for diabetes mellitus; however, scientists are researching ways to make diabetes harmless one day.

Context

Diabetes is a chronic health condition that affects how your body turns food into energy. There are three main types of diabetes: type 1, type 2, and gestational diabetes.

• Type 1 diabetes is an autoimmune disease that causes your body to attack the cells in your pancreas that produce insulin. Insulin is a hormone that helps your body use glucose for energy.

• Type 2 diabetes is the most common type of diabetes. It occurs when your body doesn't respond normally to insulin, or when your body doesn't produce enough insulin.

• Gestational diabetes is a type of diabetes that develops during pregnancy. It usually goes away after the baby is born.

Prevalence of Diabetes

According to the CDC BRFSS 2023, 34.1 million adults in the United States have diabetes, or 10.5% of the adult population. This number has been increasing over time. In 2010, 29.1 million adults in the United States had diabetes, or 9.3% of the adult population.

Content

The Behavioral Risk Factor Surveillance System (BRFSS) is an ongoing, state-based telephone survey that collects data about health-related risk behaviors, chronic health conditions, and the use of preventive services among adults aged 18 years and older residing in the United States. Conducted annually by the Centers for Disease Control and Prevention (CDC), the BRFSS has been providing valuable insights into the health status and behaviors of U.S. adults since its inception in 1984.

For this dataset, a csv of the 2023 BRFSS dataset available on Kaggle was used. The original dataset contains responses from 433,323 individuals and has 350 features. These features are either questions directly asked of participants, or calculated variables based on individual participant responses.

This dataset contains 3 files:

diabetes_012_health_indicators_BRFSS2023.csv is a clean dataset of 261,589 survey responses to the CDC's BRFSS2021. The target variable Diabetes_012 has 3 classes. 0 is for no diabetes or only during pregnancy, 1 is for prediabetes, and 2 is for diabetes. There is class imbalance in this dataset. This dataset has 21 feature variables.

diabetes_binary_5050split_health_indicators_BRFSS2023.csv is a clean dataset of 71,814 survey responses to the CDC's BRFSS2021. It has an equal 50-50 split of respondents with no diabetes and with either prediabetes or diabetes. The target variable Diabetes_binary has 2 classes. 0 is for no diabetes, and 1 is for prediabetes or diabetes. This dataset has 21 feature variables and is balanced.

diabetes_binary_health_indicators_BRFSS2023.csv is a clean dataset of 261,589 survey responses to the CDC's BRFSS2021. The target variable Diabetes_binary has 2 classes. 0 is for no diabetes, and 1 is for prediabetes or diabetes. This dataset has 21 feature variables and is not balanced.

Acknowledgements

It it important to reiterate that I did not create this dataset, it is just a cleaned and consolidated dataset created from the BRFSS 2021 dataset already on Kaggle. That dataset can be found here and the notebook I used for the data cleaning can be found here.

Inspiration

Jullien Nazreen for Cleaning the dataset for Machine Learning use by using the 2021 BRFSS was the inspiration for creating this dataset and exploring the BRFSS in general.

This dataset tracks the updates made on the dataset "Selected Trend Table from Health, United States, 2011. Diabetes prevalence and glycemic control among adults 20 years of age and over, by sex, age, and race and Hispanic origin: United States, selected years 1988 - 1994 through 2003 - 2006" as a repository for previous versions of the data and metadata.

This web map is part of the Centers for Disease Control and Prevention (CDC) PLACES. It provides model-based estimates of diagnosed diabetes prevalence among adults aged 18 years and older at county, place, census tract, and ZCTA levels in the United States. PLACES is an expansion of the original 500 Cities Project and a collaboration between the CDC, the Robert Wood Johnson Foundation, and the CDC Foundation. Data sources used to generate these estimates include the Behavioral Risk Factor Surveillance System (BRFSS), Census 2020 population counts or Census annual county-level population estimates, and the American Community Survey (ACS) estimates. For detailed methodology see www.cdc.gov/places. For questions or feedback send an email to places@cdc.gov.Measure name used for diagnosed diabetes is DIABETES.

This service provides statistics relevant to the health and physical activity within the United States. The data is organized into groups:HealthPhysical Activity

The primary data simulation tool providing the most accurate and comprehensive global picture of type 1 diabetes statistics, referenced throughout the page.

IntroductionRacial and ethnic minority groups and individuals with limited educational attainment experience a disproportionate burden of diabetes. Prediabetes represents a high-risk state for developing type 2 diabetes, but most adults with prediabetes are unaware of having the condition. Uncovering whether racial, ethnic, or educational disparities also occur in the prediabetes stage could help inform strategies to support health equity in preventing type 2 diabetes and its complications. We examined the prevalence of prediabetes and prediabetes awareness, with corresponding prevalence ratios according to race, ethnicity, and educational attainment.MethodsThis study was a pooled cross-sectional analysis of the National Health and Nutrition Examination Survey data from 2011 to March 2020. The final sample comprised 10,262 U.S. adults who self-reported being Asian, Black, Hispanic, or White. Prediabetes was defined using hemoglobin A1c and fasting plasma glucose values. Those with prediabetes were classified as “aware” or “unaware” based on survey responses. We calculated prevalence ratios (PR) to assess the relationship between race, ethnicity, and educational attainment with prediabetes and prediabetes awareness, controlling for sociodemographic, health and healthcare-related, and clinical characteristics.ResultsIn fully adjusted logistic regression models, Asian, Black, and Hispanic adults had a statistically significant higher risk of prediabetes than White adults (PR:1.26 [1.18,1.35], PR:1.17 [1.08,1.25], and PR:1.10 [1.02,1.19], respectively). Adults completing less than high school and high school had a significantly higher risk of prediabetes compared to those with a college degree (PR:1.14 [1.02,1.26] and PR:1.12 [1.01,1.23], respectively). We also found that Black and Hispanic adults had higher rates of prediabetes awareness in the fully adjusted model than White adults (PR:1.27 [1.07,1.50] and PR:1.33 [1.02,1.72], respectively). The rates of prediabetes awareness were consistently lower among those with less than a high school education relative to individuals who completed college (fully-adjusted model PR:0.66 [0.47,0.92]).DiscussionDisparities in prediabetes among racial and ethnic minority groups and adults with low educational attainment suggest challenges and opportunities for promoting health equity in high-risk groups and expanding awareness of prediabetes in the United States.

In 2023, it was estimated that almost 21 percent of those aged 65 years and older in the United States had been diagnosed with diabetes. This statistic shows the percentage of U.S. adults aged 65 years and older who had ever been told by a doctor or other health professional they had diabetes from 2019 to 2023.

Introduction

Global Diabetes Drugs Market size is expected to be worth around USD 153.4 Billion by 2033, from USD 69.1 Billion in 2023, growing at a CAGR of 8.6% during the forecast period from 2024 to 2033. In 2023, North America led the market, achieving over 51.3% share with a revenue of US$ 35.4 Million.

Several factors are driving the growth of the diabetes drug market. A key factor is the rising prevalence of diabetes globally, especially type 2 diabetes. Data from the International Diabetes Federation indicates that the number of adults with diabetes is expected to increase from 537 million in 2021 to 783 million by 2045. Furthermore, advancements in diabetes medications, such as the introduction of GLP-1 receptor agonists and SGLT-2 inhibitors, offer effective alternatives to traditional therapies, enhancing market expansion.

Recent developments in the sector include the introduction of new drugs and formulations. For example, Glenmark Pharmaceuticals launched Lirafit, a biosimilar of the popular anti-diabetic drug Liraglutide, in India in January 2024. Additionally, companies like Akums Drugs and Pharmaceuticals have been developing novel combination therapies aimed at improving treatment effectiveness and adherence among the elderly with type 2 diabetes.

Despite these advancements, the market faces challenges such as the high costs associated with diabetes drug therapies, which pose significant barriers, particularly in less developed regions. Nonetheless, the ongoing focus on diabetes care, coupled with increasing awareness and substantial research and development investments by leading companies, are anticipated to maintain the market's growth trajectory. North America leads this market, propelled by high obesity rates and sedentary lifestyles, with the United States holding the largest share due to its significant demand for insulin and other diabetes medications.

BackgroundAssociations between serum cadmium and diabetes had been reported in previous studies, however there was still considerable controversy regarding associations. Studies in general population that investigated the effects of serum cadmium on diabetes were currently lacking. We designed this cross-sectional study among U.S. adults under high and low cadmium exposure to assess associations between serum cadmium and diabetes.MethodsThis cross-sectional study analyzed 52,593 adults who aged more than 20 years and participated in the National Health and Nutrition Examination Survey (NHANES), 1999–2020. The missing values and extreme values in the covariables were filled by multiple interpolation. Univariate logistics regression, multivariate logistics regression and smooth fitting curves were used to analyze the association between serum cadmium and diabetes. Simultaneously, sensitivity analysis was carried out by converting the serum cadmium from continuous variable to categorical variable. The stratification logistics regression model was used to analyze whether there were special groups in each subgroup to test the stability of the results.ResultsIn this cross-sectional study, serum cadmium levels were negatively correlated with the occurrence of diabetes in the low serum cadmium exposure group (OR = 0.811, 95% CI 0.698, 0.943; P = 0.007). There was no association between serum cadmium level and the occurrence of diabetes in the high serum cadmium exposure group (OR = 1.01, 95% CI 0.982, 1.037; P = 0.511). These results were consistent across all the subgroups (P for interaction >0.05).ConclusionSerum cadmium was negatively associated diabetes among the representative samples of the whole population in the United States under the normal level of serum cadmium exposure. However, there was no association between serum cadmium level and the occurrence of diabetes in the high serum cadmium exposure group. This study promoted an update of new preventative strategy targeting environment for the prevention and control of diabetes in the future.

Obesity rate for adults 20+ years old. Data from US Diabetes Surveillance System; www.cdc.gov/diabetes/data; Division of Diabetes Translation - Centers for Disease Control and Prevention. Obesity is defined with BMI >30.

This map shows where obesity and diabetes are happening in the US, by county. It shows each component of the map as its own layer, and also shows the patterns overlapping. Diabetes prevalence (% of adults)Obesity prevalence (% of adults)This data can be used to assess the health factors, and answer questions such as:Are certain counties more/less at risk in regards to diabetes and obesity?Are diabetes, obesity, and physical inactivity happening within the same areas of the US?According to the CDC: "These data can help the public to better use existing resources for diabetes management and prevention efforts." The data comes from the Behavioral Risk Factor Surveillance System (BRFSS) through the Centers for Disease Control and Prevention (CDC), and the data vintage is 2013. To explore other county indicators, different vintages, or the original data, click here. To view the interactive map through the CDC website, click here. To learn more about the methodology of how county-level estimates are calculated, see this PDF.