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Related Concept Videos

Obesity01:24

Obesity

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The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in...
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In the United States, obesity is a prominent concern. It is linked to heightened mortality rates due to increased occurrences of conditions such as hypertension, atherosclerosis, coronary artery disease, and diabetes compared to nonobese individuals. A patient is classified as obese if their actual body weight surpasses the ideal or desirable body weight by 20%, based on Metropolitan Life Insurance Company data. Ideal body weights consider average weights and heights for males and females...
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Using state-issued identification cards for obesity tracking.

Daniel S Morris1, Stacey S Schubert2, Duyen L Ngo2

  • 1813 SW Alder Street, Suite 800A, Portland, OR 97205, United States.

Obesity Research & Clinical Practice
|February 10, 2015
PubMed
Summary
This summary is machine-generated.

State-issued identification cards offer a cost-effective method for estimating obesity prevalence at a community level. Despite potential weight misrepresentation, these records reveal important population health trends.

Keywords:
Body mass indexEpidemiologic methodsGeographic information systemsObesityPopulation surveillance

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Area of Science:

  • Public Health
  • Epidemiology
  • Biostatistics

Background:

  • Obesity prevention is a major public health priority requiring reliable population health data.
  • Existing survey data for sub-county obesity estimates are often prohibitively expensive.
  • State-issued identification cards present an alternative data source for community-level obesity assessment.

Purpose of the Study:

  • To evaluate the utility of state-issued identification cards as a data source for estimating obesity prevalence and body mass index (BMI) at sub-county levels.
  • To compare obesity estimates derived from identification card data with established survey data, such as the Oregon Behavioral Risk Factor Surveillance System (BRFSS).

Main Methods:

  • Calculated BMI for 3.2 million adult Oregonians with driver licenses or identification cards (2003-2010).
  • Geocoded addresses to compute average adult BMI for census tracts and block groups.
  • Compared statewide obesity prevalence and average BMI estimates from identification cards against BRFSS data.

Main Results:

  • Identification card data provided obesity prevalence estimates 18% lower for men and 31% lower for women compared to BRFSS.
  • BMI estimates from identification cards were 2% lower for men and 5% lower for women than BRFSS estimates.
  • Despite consistent bias, identification card data revealed significant sub-county patterns and trends in population weight status.

Conclusions:

  • State-issued identification card records are a promising, cost-effective data source to supplement obesity tracking.
  • The large volume of records enables stable obesity estimates for small geographic areas, aiding public health prevention efforts.
  • While individuals may misrepresent weight, the consistent bias in identification card data does not obscure crucial population-level obesity patterns and trends.