CDC: Diabetes Surveillance System

New data available in HealthLandscape!

We have added the most recent data from the CDC Diabetes Surveillance System to HealthLandscape, both at www.healthlandscape.org and, in Quick Map form, at beta.healthlandscape.org. Variables include the Percent of Adults who are Physically Inactive, the Percent of Adults who are Obese, and the Percent of Adults who have Diabetes.

Figure 1. Percent of Adults Who Are Physically Inactive, 2008



Figure 2. Percent of Adults Who Are Physically Inactive, 2008 (HL3)



Diabetes Data and Trends, which includes the National Diabetes Fact Sheet and the National Diabetes Surveillance System, provides resources documenting the public health burden of diabetes and its complications in the United States. The surveillance system also includes county-level estimates of diagnosed diabetes and selected risk factors for all U.S. counties to help target and optimize the resources for diabetes control and prevention.

The prevalence of diagnosed diabetes and selected risk factors by county was estimated using data from CDC's Behavioral Risk Factor Surveillance System (BRFSS) and data from the U.S. Census Bureau's Population Estimates Program. The BRFSS is an ongoing, monthly, state-based telephone survey of the adult population. The survey provides state-specific information on behavioral risk factors and preventive health practices. Respondents were considered to have diabetes if they responded "yes" to the question, "Has a doctor ever told you that you have diabetes?" Women who indicated that they only had diabetes during pregnancy were not considered to have diabetes. Respondents were considered obese if their body mass index was 30 or greater. Body mass index (weight [kg]/height [m]2) was derived from self-report of height and weight. Respondents were considered to be physically inactive if they answered "no" to the question, "During the past month, other than your regular job, did you participate in any physical activities or exercises such as running, calisthenics, golf, gardening, or walking for exercise?"

See the CDC Diabetes Surveillance System for more information.







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What is OASIS?

Visit OASIS - the Online Analysis and Statistical Information System. OASIS is a project funded by The Health Foundation of Greater Cincinnati as a way to make the results of research more accessible to its grantees and the general public.

OASIS now has a blog and a Facebook page. You can also follow OASIS on Twitter.

Health Insurance Coverage by County, 2007

New data available in HealthLandscape!

The US Census Bureau's Small Area Health Insurance Estimates (SAHIE) for 2007 are estimates of health insurance coverage for all counties. This dataset includes county-level estimates on the number of people and the percentages of people with and without health insurance coverage for ages 18 to 64 years. For more information, see, SAHIE.

The Small Area Health Insurance Estimates (SAHIE) program was created to develop model-based estimates of health insurance coverage for counties and states. The program builds on the work of the Small Area Income and Poverty Estimates (SAIPE) program.

SAHIE released 2007 county estimates of people with and without health insurance coverage by:

•Ages 0-18; 0-64; 18-64; 40-64; and 50-64;

•Sex;

•People of all incomes and people at or below 200 percent or 250 percent of the poverty threshold; and

•Measures of uncertainty of the estimates.

This research is partially funded by the Centers for Disease Control and Prevention, National Breast and Cervical Cancer Early Detection Program (NBCCEDP). The CDC has a congressional mandate to provide screening services for breast and cervical cancer to low-income, uninsured, and underserved women through the NBCCEDP. Most state NBCCEDP programs define low-income as 200 or 250 percent of the poverty threshold.

Figure 1. Percent of Population Uninsured by County, 2007

Figure 2. Percent of Population at or Below 200% of Poverty Uninsured by County, 2007

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HealthLandscape Presents the UDS Mapper

HealthLandscape is pleased to present an additional tool within its online platform: the UDS Mapper

In a period of landmark health system reform and safety net expansion, it is essential that accessible tools and data are available to assist in evaluating the geographic extent of federally (Section 330)-supported health centers. As such, HRSA, John Snow, Inc. and the Robert Graham Center collaborated to develop this mapping and decision-support tool which is driven primarily from data within the Uniform Data System (UDS), previously not publicly accessible at the local level.





Register for access to the UDS Mapper at www.UDSMapper.org. Webinars to demonstrate the functionality of this tool will be offered weekly through August and September. Links to register for these webinars and other help tools can be found at http://www.udsmapper.org/webinars.cfm.

USDA Food Environment Atlas County-Level Data

New data available in HealthLandscape!

County-level data from the USDA Food Environment Atlas is now available in HealthLandscape. The Food Environment Atlas includes data on proximity to food stores and restaurants, food prices, nutrtion-related assistance programs, health, and community characteristics. These factors interact to influence food choices and diet quality. The Atlas was developed to centralize food- and nutrition-related information and provide a spatial overview of these statistics.

The Atlas is made up of three main categories. The Food Choices category includes information on access to healthy and affordable food. Some examples of indicators in this category include access and proximity to a grocery store, the number of fast-food restaurants, access to local foods, food assistance program participation, and availability of local foods.

Figure 1. Percent of Households with No Car and > 1 Mile from Grocery Store


Figure 2. WIC-Authorized Stores per 1000 Population

Figure 3. Number of Fast Food Restaurants

Health and Well-Being indicators contain information on the community's health and diets, including rates of diabetes and obesity, and physical activity levels.

Figure 4. Adult Obesity Rate

Community Characteristics are aspects of the community that can have an influence on the food environment, including the demographic composition, income and poverty statistics, and the number of recreation and fitness centers available to the population.

Figure 5. Percent of Students Free-Lunch Eligible

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