Morbidity Adult obesity (percent)

The percentage of adult obesity for Dona Ana County, NM is:

Shape of status 30.3 %

small green circle Better yellow triangle circle Moderate red square circle Worse
usa median dashes line US Median: 30.4
Order County Estimate 95% CI
1 Hall, GA 24.8 19.3 - 31.4
2 Sutter, CA 25.6 18.4 - 34.3
3 Imperial, CA 28.7 23.1 - 35.1
4 Franklin, WA 29.1 25.7 - 32.8
5 Whitfield, GA 30.2 24.8 - 36.2
6 Dona Ana, NM 30.3 28.1 - 32.7
7 Kings, CA 31.0 24.3 - 38.4
8 Madera, CA 31.1 24.9 - 38.0
9 Yakima, WA 31.1 28.9 - 33.4
10 Cumberland, NJ 31.5 28.7 - 34.6
11 Yuma, AZ 33.6 31.0 - 36.3
12 Dakota, NE 33.6 30.2 - 37.1
13 Yuba, CA 33.7 26.4 - 42.0
14 Webb, TX 35.7 29.2 - 42.8
15 Potter, TX 36.8 29.2 - 45.2
16 Merced, CA 37.7 32.0 - 43.7
17 Ector, TX 37.8 31.0 - 45.1
18 Lanier, GA 38.0 27.5 - 49.8

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Significance

Obesity is common, serious and costly. In 2009-2010, more than one-third of U.S. adults (35.7%) were obese. The estimated annual medical cost of obesity in the U.S. was $147 billion in 2008 U.S. dollars; the medical costs for people who are obese were $1,429 higher than those of normal weight.

CITATION: Centers for Disease Control and Prevention, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion. Available at www.cdc.gov/obesity/data/adult.html

Description

Percent of adults 20 years and over that report BMI >= 30

Numerator

Respondents aged >= 20 years who have a body mass index (BMI) >=30.0 kg/m² calculated from self-reported weight and height.

Denominator

Respondents aged >= 20 years for whom BMI can be calculated from their self-reported weight and height (excluding unknowns or refusals to provide weight or height).

Methodology

In 2011, two methodological refinements were made to the Behavioral Risk Factor Surveillance System (BRFSS). The first was to expand the sample to include data received from cell phone users. This change was made to reflect the population better. The second change was to modify the statistical method to weight BRFSS survey data. The new approach simultaneously adjusts survey respondent data to known proportions of demographics such as age, race and ethnicity, and gender. Prior to 2011, the weighting method was post stratification, while in 2011 it is raking. Raking is better able to account for more demographic characteristics and multiple sampling frames. Because of these changes, data collected in 2011 and later cannot be appropriately compared to previous data, although new results should better reflect the health status of the United States. In order to create multi-year estimates, two changes were made to the new data. First, respondents who only have cell phones were removed. Second, weights were created specifically for this purpose using the post stratification method. Those two changes make the 2011 data similar to the pre-2011 data and allowed multi-year estimates to be created, even though these estimates will not be as representative of the U.S. population as the single-year estimates using 2011 data without these changes.

Efforts to create a new small area estimate methodology that will allow use all of the improvements instigated with the 2011 data are currently taking place. Once available, that methodology will be used for estimates provided here:

Estimates based on fewer than 50 cases or with a confidence interval half-width of 10% or more ((upper CI-lower CI/100) >10) are considered unreliable and are not displayed.

This Indicator uses Age-Adjustment Groups: 18-44, 45-54, 55-64, 65-74, 75+

Data Source

Behavioral Risk Factor Surveillance System (BRFSS). Accessed from: Centers for Disease Control and Prevention, National Center for Health Statistics. Health Indicators Warehouse.

Populations

Total

Data Years

2006-2012

Populations data not available for this Indicator

Census tracts not available for this indicator


This indicator does not have any associated indicators

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